├── Desktop └── TeamCo │ ├── HMM │ ├── HMM.py │ ├── HMM_predict_stock.R │ ├── intro-hmm-stock.pdf │ └── l6.pdf │ └── machine learning prediction │ ├── CPIAUCSL.csv │ ├── __pycache__ │ └── proj_func.cpython-35.pyc │ ├── appl.csv │ ├── appl_op.csv │ ├── goog.csv │ ├── gridcv_sample.py │ ├── gridcv_sample_2.py │ ├── macro data │ ├── BAMLH0A0HYM2.csv │ ├── DEXUSEU.csv │ ├── EFFR.csv │ ├── STLFSI.csv │ ├── clean data.csv │ ├── clean data.py │ ├── consolidated data.xlsx │ └── temp.csv │ ├── main_ml.py │ ├── paper │ ├── A hybrid ARIMA and support vector machines model in stock price forecasting.pdf │ ├── Financial time series forecasting using SVM.pdf │ ├── Forecasting stock market movement direction with SVM.pdf │ ├── Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction.pdf │ ├── MachineLearningTechniquesforStockPrediction.pdf │ ├── Modeling-high-frequency-limit-order-book-dynamics-with-support-vector-machines.pdf │ ├── Predicting direction of stock price index movement using artificial neural netwroks and svm, the sample of istanbul stock exchange.pdf │ ├── Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques.pdf │ ├── Predicting stock market index using fusion of machine learning techniques.pdf │ ├── STOCK MARKET FORECASTING, ARTIFICIAL NEURAL NETWORK AND LINEAR REGRESSION COMPARISON IN AN EMERGING MARKET.pdf │ ├── Support vector regression with chaos-based firefly algorithm for stock market price forecasting.pdf │ ├── The connection between regularization operators and support vector kernels.pdf │ ├── Tutorial on Support Vector Machine (SVM) .pdf │ ├── Using support vector machine with a hybrid feature selection method to the stock trend prediction.pdf │ └── saahil_madge.pdf │ ├── proj_func.py │ ├── proj_main.py │ ├── result.xlsx │ ├── sp500.csv │ ├── svm_sample.py │ └── timeseriesslplit_sample.py └── README.md /Desktop/TeamCo/HMM/HMM.py: -------------------------------------------------------------------------------- 1 | import datetime 2 | 3 | import numpy as np 4 | from matplotlib import cm, pyplot as plt 5 | from matplotlib.dates import YearLocator, MonthLocator 6 | try: 7 | from matplotlib.finance import quotes_historical_yahoo_ochl 8 | except ImportError: 9 | # For Matplotlib prior to 1.5. 10 | from matplotlib.finance import ( 11 | quotes_historical_yahoo as quotes_historical_yahoo_ochl 12 | ) 13 | 14 | from hmmlearn.hmm import GaussianHMM 15 | 16 | 17 | print(__doc__) 18 | 19 | ############################################################################### 20 | # Get quotes from Yahoo! finance 21 | quotes = quotes_historical_yahoo_ochl( 22 | "INTC", datetime.date(1995, 1, 1), datetime.date(2012, 1, 6)) 23 | 24 | # Unpack quotes 25 | dates = np.array([q[0] for q in quotes], dtype=int) 26 | close_v = np.array([q[2] for q in quotes]) 27 | volume = np.array([q[5] for q in quotes])[1:] 28 | 29 | # Take diff of close value. Note that this makes 30 | # ``len(diff) = len(close_t) - 1``, therefore, other quantities also 31 | # need to be shifted by 1. 32 | diff = np.diff(close_v) 33 | dates = dates[1:] 34 | close_v = close_v[1:] 35 | 36 | # Pack diff and volume for training. 37 | X = np.column_stack([diff, volume]) 38 | 39 | ############################################################################### 40 | # Run Gaussian HMM 41 | print("fitting to HMM and decoding ...", end="") 42 | 43 | # Make an HMM instance and execute fit 44 | model = GaussianHMM(n_components=4, covariance_type="diag", n_iter=1000).fit(X) 45 | 46 | # Predict the optimal sequence of internal hidden state 47 | hidden_states = model.predict(X) 48 | 49 | print("done") 50 | 51 | ############################################################################### 52 | # Print trained parameters and plot 53 | print("Transition matrix") 54 | print(model.transmat_) 55 | print() 56 | 57 | print("Means and vars of each hidden state") 58 | for i in range(model.n_components): 59 | print("{0}th hidden state".format(i)) 60 | print("mean = ", model.means_[i]) 61 | print("var = ", np.diag(model.covars_[i])) 62 | print() 63 | 64 | fig, axs = plt.subplots(model.n_components, sharex=True, sharey=True) 65 | colours = cm.rainbow(np.linspace(0, 1, model.n_components)) 66 | for i, (ax, colour) in enumerate(zip(axs, colours)): 67 | # Use fancy indexing to plot data in each state. 68 | mask = hidden_states == i 69 | ax.plot_date(dates[mask], close_v[mask], ".-", c=colour) 70 | ax.set_title("{0}th hidden state".format(i)) 71 | 72 | # Format the ticks. 73 | ax.xaxis.set_major_locator(YearLocator()) 74 | ax.xaxis.set_minor_locator(MonthLocator()) 75 | 76 | ax.grid(True) 77 | 78 | plt.show() -------------------------------------------------------------------------------- /Desktop/TeamCo/HMM/HMM_predict_stock.R: -------------------------------------------------------------------------------- 1 | install.packages("RHmm") 2 | library(xts) 3 | library(zoo) 4 | library(TTR) 5 | library(quantmod) 6 | getSymbols("^TWII",src="yahoo",from="1900-01-01",to="2015-12-31") 7 | chartSeries(TWII,theme="black") 8 | TWII_Subset <- window(TWII, start=as.Date("2013-01-01"),end=as.Date("2015-12-31")) 9 | TWII_Train <- cbind(TWII_Subset$TWII.Close-TWII_Subset$TWII.Open) 10 | 11 | ######################## 12 | # Baum-Welch Algorithm 13 | ######################## 14 | library(RHmm) 15 | -------------------------------------------------------------------------------- /Desktop/TeamCo/HMM/intro-hmm-stock.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/HMM/intro-hmm-stock.pdf -------------------------------------------------------------------------------- /Desktop/TeamCo/HMM/l6.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/HMM/l6.pdf -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/CPIAUCSL.csv: -------------------------------------------------------------------------------- 1 | DATE,CPIAUCSL 2 | 1947-01-01,21.48 3 | 1947-02-01,21.62 4 | 1947-03-01,22.0 5 | 1947-04-01,22.0 6 | 1947-05-01,21.95 7 | 1947-06-01,22.08 8 | 1947-07-01,22.23 9 | 1947-08-01,22.4 10 | 1947-09-01,22.84 11 | 1947-10-01,22.91 12 | 1947-11-01,23.06 13 | 1947-12-01,23.41 14 | 1948-01-01,23.68 15 | 1948-02-01,23.67 16 | 1948-03-01,23.5 17 | 1948-04-01,23.82 18 | 1948-05-01,24.01 19 | 1948-06-01,24.15 20 | 1948-07-01,24.4 21 | 1948-08-01,24.43 22 | 1948-09-01,24.36 23 | 1948-10-01,24.31 24 | 1948-11-01,24.16 25 | 1948-12-01,24.05 26 | 1949-01-01,24.01 27 | 1949-02-01,23.91 28 | 1949-03-01,23.91 29 | 1949-04-01,23.92 30 | 1949-05-01,23.91 31 | 1949-06-01,23.92 32 | 1949-07-01,23.7 33 | 1949-08-01,23.7 34 | 1949-09-01,23.75 35 | 1949-10-01,23.67 36 | 1949-11-01,23.7 37 | 1949-12-01,23.61 38 | 1950-01-01,23.51 39 | 1950-02-01,23.61 40 | 1950-03-01,23.64 41 | 1950-04-01,23.65 42 | 1950-05-01,23.77 43 | 1950-06-01,23.88 44 | 1950-07-01,24.07 45 | 1950-08-01,24.2 46 | 1950-09-01,24.34 47 | 1950-10-01,24.5 48 | 1950-11-01,24.6 49 | 1950-12-01,24.98 50 | 1951-01-01,25.38 51 | 1951-02-01,25.83 52 | 1951-03-01,25.88 53 | 1951-04-01,25.92 54 | 1951-05-01,25.99 55 | 1951-06-01,25.93 56 | 1951-07-01,25.91 57 | 1951-08-01,25.86 58 | 1951-09-01,26.03 59 | 1951-10-01,26.16 60 | 1951-11-01,26.32 61 | 1951-12-01,26.47 62 | 1952-01-01,26.45 63 | 1952-02-01,26.41 64 | 1952-03-01,26.39 65 | 1952-04-01,26.46 66 | 1952-05-01,26.47 67 | 1952-06-01,26.53 68 | 1952-07-01,26.68 69 | 1952-08-01,26.69 70 | 1952-09-01,26.63 71 | 1952-10-01,26.69 72 | 1952-11-01,26.69 73 | 1952-12-01,26.71 74 | 1953-01-01,26.64 75 | 1953-02-01,26.59 76 | 1953-03-01,26.63 77 | 1953-04-01,26.69 78 | 1953-05-01,26.7 79 | 1953-06-01,26.77 80 | 1953-07-01,26.79 81 | 1953-08-01,26.85 82 | 1953-09-01,26.89 83 | 1953-10-01,26.95 84 | 1953-11-01,26.85 85 | 1953-12-01,26.87 86 | 1954-01-01,26.94 87 | 1954-02-01,26.99 88 | 1954-03-01,26.93 89 | 1954-04-01,26.86 90 | 1954-05-01,26.93 91 | 1954-06-01,26.94 92 | 1954-07-01,26.86 93 | 1954-08-01,26.85 94 | 1954-09-01,26.81 95 | 1954-10-01,26.72 96 | 1954-11-01,26.78 97 | 1954-12-01,26.77 98 | 1955-01-01,26.77 99 | 1955-02-01,26.82 100 | 1955-03-01,26.79 101 | 1955-04-01,26.79 102 | 1955-05-01,26.77 103 | 1955-06-01,26.71 104 | 1955-07-01,26.76 105 | 1955-08-01,26.72 106 | 1955-09-01,26.85 107 | 1955-10-01,26.82 108 | 1955-11-01,26.88 109 | 1955-12-01,26.87 110 | 1956-01-01,26.83 111 | 1956-02-01,26.86 112 | 1956-03-01,26.89 113 | 1956-04-01,26.93 114 | 1956-05-01,27.03 115 | 1956-06-01,27.15 116 | 1956-07-01,27.29 117 | 1956-08-01,27.31 118 | 1956-09-01,27.35 119 | 1956-10-01,27.51 120 | 1956-11-01,27.51 121 | 1956-12-01,27.63 122 | 1957-01-01,27.67 123 | 1957-02-01,27.8 124 | 1957-03-01,27.86 125 | 1957-04-01,27.93 126 | 1957-05-01,28.0 127 | 1957-06-01,28.11 128 | 1957-07-01,28.19 129 | 1957-08-01,28.28 130 | 1957-09-01,28.32 131 | 1957-10-01,28.32 132 | 1957-11-01,28.41 133 | 1957-12-01,28.47 134 | 1958-01-01,28.64 135 | 1958-02-01,28.7 136 | 1958-03-01,28.87 137 | 1958-04-01,28.94 138 | 1958-05-01,28.94 139 | 1958-06-01,28.91 140 | 1958-07-01,28.89 141 | 1958-08-01,28.94 142 | 1958-09-01,28.91 143 | 1958-10-01,28.91 144 | 1958-11-01,28.95 145 | 1958-12-01,28.97 146 | 1959-01-01,29.01 147 | 1959-02-01,29.0 148 | 1959-03-01,28.97 149 | 1959-04-01,28.98 150 | 1959-05-01,29.04 151 | 1959-06-01,29.11 152 | 1959-07-01,29.15 153 | 1959-08-01,29.18 154 | 1959-09-01,29.25 155 | 1959-10-01,29.35 156 | 1959-11-01,29.35 157 | 1959-12-01,29.41 158 | 1960-01-01,29.37 159 | 1960-02-01,29.41 160 | 1960-03-01,29.41 161 | 1960-04-01,29.54 162 | 1960-05-01,29.57 163 | 1960-06-01,29.61 164 | 1960-07-01,29.55 165 | 1960-08-01,29.61 166 | 1960-09-01,29.61 167 | 1960-10-01,29.75 168 | 1960-11-01,29.78 169 | 1960-12-01,29.81 170 | 1961-01-01,29.84 171 | 1961-02-01,29.84 172 | 1961-03-01,29.84 173 | 1961-04-01,29.81 174 | 1961-05-01,29.84 175 | 1961-06-01,29.84 176 | 1961-07-01,29.92 177 | 1961-08-01,29.94 178 | 1961-09-01,29.98 179 | 1961-10-01,29.98 180 | 1961-11-01,29.98 181 | 1961-12-01,30.01 182 | 1962-01-01,30.04 183 | 1962-02-01,30.11 184 | 1962-03-01,30.17 185 | 1962-04-01,30.21 186 | 1962-05-01,30.24 187 | 1962-06-01,30.21 188 | 1962-07-01,30.22 189 | 1962-08-01,30.28 190 | 1962-09-01,30.42 191 | 1962-10-01,30.38 192 | 1962-11-01,30.38 193 | 1962-12-01,30.38 194 | 1963-01-01,30.44 195 | 1963-02-01,30.48 196 | 1963-03-01,30.51 197 | 1963-04-01,30.48 198 | 1963-05-01,30.51 199 | 1963-06-01,30.61 200 | 1963-07-01,30.69 201 | 1963-08-01,30.75 202 | 1963-09-01,30.72 203 | 1963-10-01,30.75 204 | 1963-11-01,30.78 205 | 1963-12-01,30.88 206 | 1964-01-01,30.94 207 | 1964-02-01,30.91 208 | 1964-03-01,30.94 209 | 1964-04-01,30.95 210 | 1964-05-01,30.98 211 | 1964-06-01,31.01 212 | 1964-07-01,31.02 213 | 1964-08-01,31.05 214 | 1964-09-01,31.08 215 | 1964-10-01,31.12 216 | 1964-11-01,31.21 217 | 1964-12-01,31.25 218 | 1965-01-01,31.28 219 | 1965-02-01,31.28 220 | 1965-03-01,31.31 221 | 1965-04-01,31.38 222 | 1965-05-01,31.48 223 | 1965-06-01,31.61 224 | 1965-07-01,31.58 225 | 1965-08-01,31.55 226 | 1965-09-01,31.62 227 | 1965-10-01,31.65 228 | 1965-11-01,31.75 229 | 1965-12-01,31.85 230 | 1966-01-01,31.88 231 | 1966-02-01,32.08 232 | 1966-03-01,32.18 233 | 1966-04-01,32.28 234 | 1966-05-01,32.35 235 | 1966-06-01,32.38 236 | 1966-07-01,32.45 237 | 1966-08-01,32.65 238 | 1966-09-01,32.75 239 | 1966-10-01,32.85 240 | 1966-11-01,32.88 241 | 1966-12-01,32.92 242 | 1967-01-01,32.9 243 | 1967-02-01,33.0 244 | 1967-03-01,33.0 245 | 1967-04-01,33.1 246 | 1967-05-01,33.1 247 | 1967-06-01,33.3 248 | 1967-07-01,33.4 249 | 1967-08-01,33.5 250 | 1967-09-01,33.6 251 | 1967-10-01,33.7 252 | 1967-11-01,33.9 253 | 1967-12-01,34.0 254 | 1968-01-01,34.1 255 | 1968-02-01,34.2 256 | 1968-03-01,34.3 257 | 1968-04-01,34.4 258 | 1968-05-01,34.5 259 | 1968-06-01,34.7 260 | 1968-07-01,34.9 261 | 1968-08-01,35.0 262 | 1968-09-01,35.1 263 | 1968-10-01,35.3 264 | 1968-11-01,35.4 265 | 1968-12-01,35.6 266 | 1969-01-01,35.7 267 | 1969-02-01,35.8 268 | 1969-03-01,36.1 269 | 1969-04-01,36.3 270 | 1969-05-01,36.4 271 | 1969-06-01,36.6 272 | 1969-07-01,36.8 273 | 1969-08-01,36.9 274 | 1969-09-01,37.1 275 | 1969-10-01,37.3 276 | 1969-11-01,37.5 277 | 1969-12-01,37.7 278 | 1970-01-01,37.9 279 | 1970-02-01,38.1 280 | 1970-03-01,38.3 281 | 1970-04-01,38.5 282 | 1970-05-01,38.6 283 | 1970-06-01,38.8 284 | 1970-07-01,38.9 285 | 1970-08-01,39.0 286 | 1970-09-01,39.2 287 | 1970-10-01,39.4 288 | 1970-11-01,39.6 289 | 1970-12-01,39.8 290 | 1971-01-01,39.9 291 | 1971-02-01,39.9 292 | 1971-03-01,40.0 293 | 1971-04-01,40.1 294 | 1971-05-01,40.3 295 | 1971-06-01,40.5 296 | 1971-07-01,40.6 297 | 1971-08-01,40.7 298 | 1971-09-01,40.8 299 | 1971-10-01,40.9 300 | 1971-11-01,41.0 301 | 1971-12-01,41.1 302 | 1972-01-01,41.2 303 | 1972-02-01,41.4 304 | 1972-03-01,41.4 305 | 1972-04-01,41.5 306 | 1972-05-01,41.6 307 | 1972-06-01,41.7 308 | 1972-07-01,41.8 309 | 1972-08-01,41.9 310 | 1972-09-01,42.1 311 | 1972-10-01,42.2 312 | 1972-11-01,42.4 313 | 1972-12-01,42.5 314 | 1973-01-01,42.7 315 | 1973-02-01,43.0 316 | 1973-03-01,43.4 317 | 1973-04-01,43.7 318 | 1973-05-01,43.9 319 | 1973-06-01,44.2 320 | 1973-07-01,44.2 321 | 1973-08-01,45.0 322 | 1973-09-01,45.2 323 | 1973-10-01,45.6 324 | 1973-11-01,45.9 325 | 1973-12-01,46.3 326 | 1974-01-01,46.8 327 | 1974-02-01,47.3 328 | 1974-03-01,47.8 329 | 1974-04-01,48.1 330 | 1974-05-01,48.6 331 | 1974-06-01,49.0 332 | 1974-07-01,49.3 333 | 1974-08-01,49.9 334 | 1974-09-01,50.6 335 | 1974-10-01,51.0 336 | 1974-11-01,51.5 337 | 1974-12-01,51.9 338 | 1975-01-01,52.3 339 | 1975-02-01,52.6 340 | 1975-03-01,52.8 341 | 1975-04-01,53.0 342 | 1975-05-01,53.1 343 | 1975-06-01,53.5 344 | 1975-07-01,54.0 345 | 1975-08-01,54.2 346 | 1975-09-01,54.6 347 | 1975-10-01,54.9 348 | 1975-11-01,55.3 349 | 1975-12-01,55.6 350 | 1976-01-01,55.8 351 | 1976-02-01,55.9 352 | 1976-03-01,56.0 353 | 1976-04-01,56.1 354 | 1976-05-01,56.4 355 | 1976-06-01,56.7 356 | 1976-07-01,57.0 357 | 1976-08-01,57.3 358 | 1976-09-01,57.6 359 | 1976-10-01,57.9 360 | 1976-11-01,58.1 361 | 1976-12-01,58.4 362 | 1977-01-01,58.7 363 | 1977-02-01,59.3 364 | 1977-03-01,59.6 365 | 1977-04-01,60.0 366 | 1977-05-01,60.2 367 | 1977-06-01,60.5 368 | 1977-07-01,60.8 369 | 1977-08-01,61.1 370 | 1977-09-01,61.3 371 | 1977-10-01,61.6 372 | 1977-11-01,62.0 373 | 1977-12-01,62.3 374 | 1978-01-01,62.7 375 | 1978-02-01,63.0 376 | 1978-03-01,63.4 377 | 1978-04-01,63.9 378 | 1978-05-01,64.5 379 | 1978-06-01,65.0 380 | 1978-07-01,65.5 381 | 1978-08-01,65.9 382 | 1978-09-01,66.5 383 | 1978-10-01,67.1 384 | 1978-11-01,67.5 385 | 1978-12-01,67.9 386 | 1979-01-01,68.5 387 | 1979-02-01,69.2 388 | 1979-03-01,69.9 389 | 1979-04-01,70.6 390 | 1979-05-01,71.4 391 | 1979-06-01,72.2 392 | 1979-07-01,73.0 393 | 1979-08-01,73.7 394 | 1979-09-01,74.4 395 | 1979-10-01,75.2 396 | 1979-11-01,76.0 397 | 1979-12-01,76.9 398 | 1980-01-01,78.0 399 | 1980-02-01,79.0 400 | 1980-03-01,80.1 401 | 1980-04-01,80.9 402 | 1980-05-01,81.7 403 | 1980-06-01,82.5 404 | 1980-07-01,82.6 405 | 1980-08-01,83.2 406 | 1980-09-01,83.9 407 | 1980-10-01,84.7 408 | 1980-11-01,85.6 409 | 1980-12-01,86.4 410 | 1981-01-01,87.2 411 | 1981-02-01,88.0 412 | 1981-03-01,88.6 413 | 1981-04-01,89.1 414 | 1981-05-01,89.7 415 | 1981-06-01,90.5 416 | 1981-07-01,91.5 417 | 1981-08-01,92.2 418 | 1981-09-01,93.1 419 | 1981-10-01,93.4 420 | 1981-11-01,93.8 421 | 1981-12-01,94.1 422 | 1982-01-01,94.4 423 | 1982-02-01,94.7 424 | 1982-03-01,94.7 425 | 1982-04-01,95.0 426 | 1982-05-01,95.9 427 | 1982-06-01,97.0 428 | 1982-07-01,97.5 429 | 1982-08-01,97.7 430 | 1982-09-01,97.7 431 | 1982-10-01,98.1 432 | 1982-11-01,98.0 433 | 1982-12-01,97.7 434 | 1983-01-01,97.9 435 | 1983-02-01,98.0 436 | 1983-03-01,98.1 437 | 1983-04-01,98.8 438 | 1983-05-01,99.2 439 | 1983-06-01,99.4 440 | 1983-07-01,99.8 441 | 1983-08-01,100.1 442 | 1983-09-01,100.4 443 | 1983-10-01,100.8 444 | 1983-11-01,101.1 445 | 1983-12-01,101.4 446 | 1984-01-01,102.1 447 | 1984-02-01,102.6 448 | 1984-03-01,102.9 449 | 1984-04-01,103.3 450 | 1984-05-01,103.5 451 | 1984-06-01,103.7 452 | 1984-07-01,104.1 453 | 1984-08-01,104.4 454 | 1984-09-01,104.7 455 | 1984-10-01,105.1 456 | 1984-11-01,105.3 457 | 1984-12-01,105.5 458 | 1985-01-01,105.7 459 | 1985-02-01,106.3 460 | 1985-03-01,106.8 461 | 1985-04-01,107.0 462 | 1985-05-01,107.2 463 | 1985-06-01,107.5 464 | 1985-07-01,107.7 465 | 1985-08-01,107.9 466 | 1985-09-01,108.1 467 | 1985-10-01,108.5 468 | 1985-11-01,109.0 469 | 1985-12-01,109.5 470 | 1986-01-01,109.9 471 | 1986-02-01,109.7 472 | 1986-03-01,109.1 473 | 1986-04-01,108.7 474 | 1986-05-01,109.0 475 | 1986-06-01,109.4 476 | 1986-07-01,109.5 477 | 1986-08-01,109.6 478 | 1986-09-01,110.0 479 | 1986-10-01,110.2 480 | 1986-11-01,110.4 481 | 1986-12-01,110.8 482 | 1987-01-01,111.4 483 | 1987-02-01,111.8 484 | 1987-03-01,112.2 485 | 1987-04-01,112.7 486 | 1987-05-01,113.0 487 | 1987-06-01,113.5 488 | 1987-07-01,113.8 489 | 1987-08-01,114.3 490 | 1987-09-01,114.7 491 | 1987-10-01,115.0 492 | 1987-11-01,115.4 493 | 1987-12-01,115.6 494 | 1988-01-01,116.0 495 | 1988-02-01,116.2 496 | 1988-03-01,116.5 497 | 1988-04-01,117.2 498 | 1988-05-01,117.5 499 | 1988-06-01,118.0 500 | 1988-07-01,118.5 501 | 1988-08-01,119.0 502 | 1988-09-01,119.5 503 | 1988-10-01,119.9 504 | 1988-11-01,120.3 505 | 1988-12-01,120.7 506 | 1989-01-01,121.2 507 | 1989-02-01,121.6 508 | 1989-03-01,122.2 509 | 1989-04-01,123.1 510 | 1989-05-01,123.7 511 | 1989-06-01,124.1 512 | 1989-07-01,124.5 513 | 1989-08-01,124.5 514 | 1989-09-01,124.8 515 | 1989-10-01,125.4 516 | 1989-11-01,125.9 517 | 1989-12-01,126.3 518 | 1990-01-01,127.5 519 | 1990-02-01,128.0 520 | 1990-03-01,128.6 521 | 1990-04-01,128.9 522 | 1990-05-01,129.1 523 | 1990-06-01,129.9 524 | 1990-07-01,130.5 525 | 1990-08-01,131.6 526 | 1990-09-01,132.5 527 | 1990-10-01,133.4 528 | 1990-11-01,133.7 529 | 1990-12-01,134.2 530 | 1991-01-01,134.7 531 | 1991-02-01,134.8 532 | 1991-03-01,134.8 533 | 1991-04-01,135.1 534 | 1991-05-01,135.6 535 | 1991-06-01,136.0 536 | 1991-07-01,136.2 537 | 1991-08-01,136.6 538 | 1991-09-01,137.0 539 | 1991-10-01,137.2 540 | 1991-11-01,137.8 541 | 1991-12-01,138.2 542 | 1992-01-01,138.3 543 | 1992-02-01,138.6 544 | 1992-03-01,139.1 545 | 1992-04-01,139.4 546 | 1992-05-01,139.7 547 | 1992-06-01,140.1 548 | 1992-07-01,140.5 549 | 1992-08-01,140.8 550 | 1992-09-01,141.1 551 | 1992-10-01,141.7 552 | 1992-11-01,142.1 553 | 1992-12-01,142.3 554 | 1993-01-01,142.8 555 | 1993-02-01,143.1 556 | 1993-03-01,143.3 557 | 1993-04-01,143.8 558 | 1993-05-01,144.2 559 | 1993-06-01,144.3 560 | 1993-07-01,144.5 561 | 1993-08-01,144.8 562 | 1993-09-01,145.0 563 | 1993-10-01,145.6 564 | 1993-11-01,146.0 565 | 1993-12-01,146.3 566 | 1994-01-01,146.3 567 | 1994-02-01,146.7 568 | 1994-03-01,147.1 569 | 1994-04-01,147.2 570 | 1994-05-01,147.5 571 | 1994-06-01,147.9 572 | 1994-07-01,148.4 573 | 1994-08-01,149.0 574 | 1994-09-01,149.3 575 | 1994-10-01,149.4 576 | 1994-11-01,149.8 577 | 1994-12-01,150.1 578 | 1995-01-01,150.5 579 | 1995-02-01,150.9 580 | 1995-03-01,151.2 581 | 1995-04-01,151.8 582 | 1995-05-01,152.1 583 | 1995-06-01,152.4 584 | 1995-07-01,152.6 585 | 1995-08-01,152.9 586 | 1995-09-01,153.1 587 | 1995-10-01,153.5 588 | 1995-11-01,153.7 589 | 1995-12-01,153.9 590 | 1996-01-01,154.7 591 | 1996-02-01,155.0 592 | 1996-03-01,155.5 593 | 1996-04-01,156.1 594 | 1996-05-01,156.4 595 | 1996-06-01,156.7 596 | 1996-07-01,157.0 597 | 1996-08-01,157.2 598 | 1996-09-01,157.7 599 | 1996-10-01,158.2 600 | 1996-11-01,158.7 601 | 1996-12-01,159.1 602 | 1997-01-01,159.4 603 | 1997-02-01,159.7 604 | 1997-03-01,159.8 605 | 1997-04-01,159.9 606 | 1997-05-01,159.9 607 | 1997-06-01,160.2 608 | 1997-07-01,160.4 609 | 1997-08-01,160.8 610 | 1997-09-01,161.2 611 | 1997-10-01,161.5 612 | 1997-11-01,161.7 613 | 1997-12-01,161.8 614 | 1998-01-01,162.0 615 | 1998-02-01,162.0 616 | 1998-03-01,162.0 617 | 1998-04-01,162.2 618 | 1998-05-01,162.6 619 | 1998-06-01,162.8 620 | 1998-07-01,163.2 621 | 1998-08-01,163.4 622 | 1998-09-01,163.5 623 | 1998-10-01,163.9 624 | 1998-11-01,164.1 625 | 1998-12-01,164.4 626 | 1999-01-01,164.7 627 | 1999-02-01,164.7 628 | 1999-03-01,164.8 629 | 1999-04-01,165.9 630 | 1999-05-01,166.0 631 | 1999-06-01,166.0 632 | 1999-07-01,166.7 633 | 1999-08-01,167.1 634 | 1999-09-01,167.8 635 | 1999-10-01,168.1 636 | 1999-11-01,168.4 637 | 1999-12-01,168.8 638 | 2000-01-01,169.3 639 | 2000-02-01,170.0 640 | 2000-03-01,171.0 641 | 2000-04-01,170.9 642 | 2000-05-01,171.2 643 | 2000-06-01,172.2 644 | 2000-07-01,172.7 645 | 2000-08-01,172.7 646 | 2000-09-01,173.6 647 | 2000-10-01,173.9 648 | 2000-11-01,174.2 649 | 2000-12-01,174.6 650 | 2001-01-01,175.6 651 | 2001-02-01,176.0 652 | 2001-03-01,176.1 653 | 2001-04-01,176.4 654 | 2001-05-01,177.3 655 | 2001-06-01,177.7 656 | 2001-07-01,177.4 657 | 2001-08-01,177.4 658 | 2001-09-01,178.1 659 | 2001-10-01,177.6 660 | 2001-11-01,177.5 661 | 2001-12-01,177.4 662 | 2002-01-01,177.7 663 | 2002-02-01,178.0 664 | 2002-03-01,178.5 665 | 2002-04-01,179.3 666 | 2002-05-01,179.5 667 | 2002-06-01,179.6 668 | 2002-07-01,180.0 669 | 2002-08-01,180.5 670 | 2002-09-01,180.8 671 | 2002-10-01,181.2 672 | 2002-11-01,181.5 673 | 2002-12-01,181.8 674 | 2003-01-01,182.600 675 | 2003-02-01,183.600 676 | 2003-03-01,183.900 677 | 2003-04-01,183.200 678 | 2003-05-01,182.900 679 | 2003-06-01,183.100 680 | 2003-07-01,183.700 681 | 2003-08-01,184.5 682 | 2003-09-01,185.100 683 | 2003-10-01,184.9 684 | 2003-11-01,185.000 685 | 2003-12-01,185.500 686 | 2004-01-01,186.300 687 | 2004-02-01,186.700 688 | 2004-03-01,187.100 689 | 2004-04-01,187.400 690 | 2004-05-01,188.200 691 | 2004-06-01,188.900 692 | 2004-07-01,189.100 693 | 2004-08-01,189.200 694 | 2004-09-01,189.800 695 | 2004-10-01,190.8 696 | 2004-11-01,191.700 697 | 2004-12-01,191.700 698 | 2005-01-01,191.600 699 | 2005-02-01,192.400 700 | 2005-03-01,193.100 701 | 2005-04-01,193.700 702 | 2005-05-01,193.600 703 | 2005-06-01,193.700 704 | 2005-07-01,194.900 705 | 2005-08-01,196.100 706 | 2005-09-01,198.800 707 | 2005-10-01,199.100 708 | 2005-11-01,198.100 709 | 2005-12-01,198.100 710 | 2006-01-01,199.300 711 | 2006-02-01,199.400 712 | 2006-03-01,199.700 713 | 2006-04-01,200.700 714 | 2006-05-01,201.300 715 | 2006-06-01,201.800 716 | 2006-07-01,202.900 717 | 2006-08-01,203.800 718 | 2006-09-01,202.800 719 | 2006-10-01,201.900 720 | 2006-11-01,202.000 721 | 2006-12-01,203.100 722 | 2007-01-01,203.437 723 | 2007-02-01,204.226 724 | 2007-03-01,205.288 725 | 2007-04-01,205.904 726 | 2007-05-01,206.755 727 | 2007-06-01,207.234 728 | 2007-07-01,207.603 729 | 2007-08-01,207.667 730 | 2007-09-01,208.547 731 | 2007-10-01,209.190 732 | 2007-11-01,210.834 733 | 2007-12-01,211.445 734 | 2008-01-01,212.174 735 | 2008-02-01,212.687 736 | 2008-03-01,213.448 737 | 2008-04-01,213.942 738 | 2008-05-01,215.208 739 | 2008-06-01,217.463 740 | 2008-07-01,219.016 741 | 2008-08-01,218.690 742 | 2008-09-01,218.877 743 | 2008-10-01,216.995 744 | 2008-11-01,213.153 745 | 2008-12-01,211.398 746 | 2009-01-01,211.933 747 | 2009-02-01,212.705 748 | 2009-03-01,212.495 749 | 2009-04-01,212.709 750 | 2009-05-01,213.022 751 | 2009-06-01,214.790 752 | 2009-07-01,214.726 753 | 2009-08-01,215.445 754 | 2009-09-01,215.861 755 | 2009-10-01,216.509 756 | 2009-11-01,217.234 757 | 2009-12-01,217.347 758 | 2010-01-01,217.488 759 | 2010-02-01,217.281 760 | 2010-03-01,217.353 761 | 2010-04-01,217.403 762 | 2010-05-01,217.290 763 | 2010-06-01,217.199 764 | 2010-07-01,217.605 765 | 2010-08-01,217.923 766 | 2010-09-01,218.275 767 | 2010-10-01,219.035 768 | 2010-11-01,219.590 769 | 2010-12-01,220.472 770 | 2011-01-01,221.187 771 | 2011-02-01,221.898 772 | 2011-03-01,223.046 773 | 2011-04-01,224.093 774 | 2011-05-01,224.806 775 | 2011-06-01,224.806 776 | 2011-07-01,225.395 777 | 2011-08-01,226.106 778 | 2011-09-01,226.597 779 | 2011-10-01,226.750 780 | 2011-11-01,227.169 781 | 2011-12-01,227.223 782 | 2012-01-01,227.860 783 | 2012-02-01,228.377 784 | 2012-03-01,228.894 785 | 2012-04-01,229.286 786 | 2012-05-01,228.722 787 | 2012-06-01,228.506 788 | 2012-07-01,228.475 789 | 2012-08-01,229.844 790 | 2012-09-01,230.987 791 | 2012-10-01,231.655 792 | 2012-11-01,231.278 793 | 2012-12-01,231.272 794 | 2013-01-01,231.641 795 | 2013-02-01,233.005 796 | 2013-03-01,232.313 797 | 2013-04-01,231.856 798 | 2013-05-01,231.895 799 | 2013-06-01,232.357 800 | 2013-07-01,232.749 801 | 2013-08-01,233.249 802 | 2013-09-01,233.642 803 | 2013-10-01,233.799 804 | 2013-11-01,234.210 805 | 2013-12-01,234.847 806 | 2014-01-01,235.436 807 | 2014-02-01,235.621 808 | 2014-03-01,235.897 809 | 2014-04-01,236.495 810 | 2014-05-01,236.803 811 | 2014-06-01,237.016 812 | 2014-07-01,237.259 813 | 2014-08-01,237.163 814 | 2014-09-01,237.510 815 | 2014-10-01,237.651 816 | 2014-11-01,237.261 817 | 2014-12-01,236.464 818 | 2015-01-01,234.954 819 | 2015-02-01,235.415 820 | 2015-03-01,235.859 821 | 2015-04-01,236.197 822 | 2015-05-01,236.876 823 | 2015-06-01,237.423 824 | 2015-07-01,237.734 825 | 2015-08-01,237.703 826 | 2015-09-01,237.489 827 | 2015-10-01,237.949 828 | 2015-11-01,238.302 829 | 2015-12-01,238.041 830 | 2016-01-01,238.107 831 | 2016-02-01,237.707 832 | 2016-03-01,237.920 833 | 2016-04-01,238.890 834 | 2016-05-01,239.403 835 | 2016-06-01,239.907 836 | 2016-07-01,239.810 837 | 2016-08-01,240.301 838 | 2016-09-01,241.002 839 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/__pycache__/proj_func.cpython-35.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/machine learning prediction/__pycache__/proj_func.cpython-35.pyc -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/gridcv_sample.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Mon Nov 14 11:25:34 2016 4 | 5 | @author: ZFang 6 | """ 7 | 8 | from __future__ import print_function 9 | 10 | from sklearn import datasets 11 | from sklearn.model_selection import train_test_split 12 | from sklearn.model_selection import GridSearchCV 13 | from sklearn.metrics import classification_report, precision_score, recall_score 14 | from sklearn.svm import SVC 15 | import os 16 | import pandas as pd 17 | import proj_func as f 18 | 19 | print(__doc__) 20 | 21 | 22 | 23 | ### file path 24 | os.chdir(r'C:\Users\ZFang\Desktop\TeamCo\machine learning prediction\\') 25 | file_name = 'appl.csv' 26 | new_file_name = 'appl_op.csv' 27 | orig_df = pd.read_csv(file_name) 28 | 29 | 30 | ### Generate the columns, calculate the technical indactors 31 | ra_df = f.gen_df(orig_df) 32 | 33 | ### Generate opinion dataframe, which use (-1,1) to measure the upward and downward trend 34 | # op_df = f.gen_op_df(ra_df) 35 | # op_df.to_csv(new_file_name, index=True, header=True, index_label='index') 36 | 37 | op_df = pd.read_csv(new_file_name, index_col='index') 38 | 39 | # Loading the Digits dataset 40 | digits = datasets.load_digits() 41 | 42 | # To apply an classifier on this data, we need to flatten the image, to 43 | # turn the data in a (samples, feature) matrix: 44 | columns = ['SMA_10','Momentum','stoch_K', 'WMA_10', 'MACD','A/D' , 'Volume'] 45 | X = op_df[columns].as_matrix()[0:100] 46 | Y = op_df['Adj Close'].as_matrix()[0:100] 47 | 48 | # Split the dataset in two equal parts 49 | X_train, X_test, y_train, y_test = train_test_split( 50 | X, Y, test_size=0.5, random_state=0) 51 | 52 | # Set the parameters by cross-validation 53 | tuned_parameters = [{'kernel': ['rbf'], 'gamma': [0.7,1], 54 | 'C': [1.0]}, 55 | {'kernel': ['linear'], 'C': [1.0], 'cache_size': [1000]}] 56 | 57 | scores = ['precision', 'recall'] 58 | 59 | for score in scores: 60 | print("# Tuning hyper-parameters for %s" % score) 61 | print() 62 | 63 | clf = GridSearchCV(SVC(C=1), tuned_parameters, cv=2, 64 | scoring='%s_macro' % score) 65 | clf.fit(X_train, y_train) 66 | 67 | print("Best parameters set found on development set:") 68 | print() 69 | print(clf.best_params_) 70 | print() 71 | print("Grid scores on development set:") 72 | print() 73 | means = clf.cv_results_['mean_test_score'] 74 | stds = clf.cv_results_['std_test_score'] 75 | for mean, std, params in zip(means, stds, clf.cv_results_['params']): 76 | print("%0.3f (+/-%0.03f) for %r" 77 | % (mean, std * 2, params)) 78 | print() 79 | 80 | print("Detailed classification report:") 81 | print() 82 | print("The model is trained on the full development set.") 83 | print("The scores are computed on the full evaluation set.") 84 | print() 85 | y_true, y_pred = y_test, clf.predict(X_test) 86 | print(classification_report(y_true, y_pred)) 87 | print() 88 | 89 | 90 | precision = precision_score(y_true, y_pred) 91 | recall = recall_score(y_true, y_pred) 92 | 93 | print(precision) 94 | print(recall) 95 | # Note the problem is too easy: the hyperparameter plateau is too flat and the 96 | # output model is the same for precision and recall with ties in quality. -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/gridcv_sample_2.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Mon Nov 14 11:40:06 2016 4 | 5 | @author: ZFang 6 | """ 7 | 8 | from __future__ import print_function 9 | 10 | from sklearn import datasets 11 | from sklearn.model_selection import train_test_split 12 | from sklearn.model_selection import GridSearchCV 13 | from sklearn.metrics import classification_report, precision_score, recall_score 14 | from sklearn.svm import SVC 15 | 16 | print(__doc__) 17 | 18 | # Loading the Digits dataset 19 | digits = datasets.load_digits() 20 | 21 | # To apply an classifier on this data, we need to flatten the image, to 22 | # turn the data in a (samples, feature) matrix: 23 | n_samples = len(digits.images) 24 | X = digits.images.reshape((n_samples, -1)) 25 | y = digits.target 26 | 27 | # Split the dataset in two equal parts 28 | X_train, X_test, y_train, y_test = train_test_split( 29 | X, y, test_size=0.5, random_state=0) 30 | 31 | # Set the parameters by cross-validation 32 | tuned_parameters = [{'kernel': ['rbf'], 'gamma': [1e-3, 1e-4], 33 | 'C': [1, 10, 100, 1000]}, 34 | {'kernel': ['linear'], 'C': [1, 10, 100, 1000]}] 35 | 36 | scores = ['precision', 'recall'] 37 | 38 | for score in scores: 39 | print("# Tuning hyper-parameters for %s" % score) 40 | print() 41 | 42 | clf = GridSearchCV(SVC(C=1), tuned_parameters, cv=5, 43 | scoring='%s_macro' % score) 44 | clf.fit(X_train, y_train) 45 | 46 | print("Best parameters set found on development set:") 47 | print() 48 | print(clf.best_params_) 49 | print() 50 | print("Grid scores on development set:") 51 | print() 52 | means = clf.cv_results_['mean_test_score'] 53 | stds = clf.cv_results_['std_test_score'] 54 | for mean, std, params in zip(means, stds, clf.cv_results_['params']): 55 | print("%0.3f (+/-%0.03f) for %r" 56 | % (mean, std * 2, params)) 57 | print() 58 | 59 | print("Detailed classification report:") 60 | print() 61 | print("The model is trained on the full development set.") 62 | print("The scores are computed on the full evaluation set.") 63 | print() 64 | y_true, y_pred = y_test, clf.predict(X_test) 65 | print(classification_report(y_true, y_pred)) 66 | print() 67 | 68 | 69 | # Note the problem is too easy: the hyperparameter plateau is too flat and the 70 | # output model is the same for precision and recall with ties in quality. -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/macro data/BAMLH0A0HYM2.csv: -------------------------------------------------------------------------------- 1 | DATE,BAMLH0A0HYM2 2 | 11/7/2005,3.49 3 | 11/8/2005,3.55 4 | 11/9/2005,3.5 5 | 11/10/2005,3.57 6 | 11/11/2005,3.56 7 | 11/14/2005,3.58 8 | 11/15/2005,3.62 9 | 11/16/2005,3.72 10 | 11/17/2005,3.78 11 | 11/18/2005,3.69 12 | 11/21/2005,3.71 13 | 11/22/2005,3.74 14 | 11/23/2005,3.69 15 | 11/24/2005,3.69 16 | 11/25/2005,3.72 17 | 11/28/2005,3.71 18 | 11/29/2005,3.61 19 | 11/30/2005,3.67 20 | 12/1/2005,3.62 21 | 12/2/2005,3.63 22 | 12/5/2005,3.62 23 | 12/6/2005,3.68 24 | 12/7/2005,3.66 25 | 12/8/2005,3.7 26 | 12/9/2005,3.6 27 | 12/12/2005,3.59 28 | 12/13/2005,3.6 29 | 12/14/2005,3.66 30 | 12/15/2005,3.64 31 | 12/16/2005,3.65 32 | 12/19/2005,3.66 33 | 12/20/2005,3.65 34 | 12/21/2005,3.61 35 | 12/22/2005,3.66 36 | 12/23/2005,3.71 37 | 12/27/2005,3.73 38 | 12/28/2005,3.69 39 | 12/29/2005,3.68 40 | 12/30/2005,3.65 41 | 12/31/2005,3.71 42 | 1/3/2006,3.73 43 | 1/4/2006,3.69 44 | 1/5/2006,3.64 45 | 1/6/2006,3.56 46 | 1/9/2006,3.51 47 | 1/10/2006,3.5 48 | 1/11/2006,3.47 49 | 1/12/2006,3.53 50 | 1/13/2006,3.62 51 | 1/16/2006,3.6 52 | 1/17/2006,3.64 53 | 1/18/2006,3.64 54 | 1/19/2006,3.58 55 | 1/20/2006,3.6 56 | 1/23/2006,3.59 57 | 1/24/2006,3.54 58 | 1/25/2006,3.44 59 | 1/26/2006,3.42 60 | 1/27/2006,3.4 61 | 1/30/2006,3.34 62 | 1/31/2006,3.42 63 | 2/1/2006,3.35 64 | 2/2/2006,3.35 65 | 2/3/2006,3.38 66 | 2/6/2006,3.38 67 | 2/7/2006,3.39 68 | 2/8/2006,3.38 69 | 2/9/2006,3.38 70 | 2/10/2006,3.35 71 | 2/13/2006,3.37 72 | 2/14/2006,3.36 73 | 2/15/2006,3.32 74 | 2/16/2006,3.29 75 | 2/17/2006,3.3 76 | 2/20/2006,3.3 77 | 2/21/2006,3.29 78 | 2/22/2006,3.31 79 | 2/23/2006,3.27 80 | 2/24/2006,3.28 81 | 2/27/2006,3.28 82 | 2/28/2006,3.37 83 | 3/1/2006,3.33 84 | 3/2/2006,3.32 85 | 3/3/2006,3.29 86 | 3/6/2006,3.26 87 | 3/7/2006,3.3 88 | 3/8/2006,3.31 89 | 3/9/2006,3.32 90 | 3/10/2006,3.3 91 | 3/13/2006,3.27 92 | 3/14/2006,3.34 93 | 3/15/2006,3.29 94 | 3/16/2006,3.34 95 | 3/17/2006,3.31 96 | 3/20/2006,3.3 97 | 3/21/2006,3.21 98 | 3/22/2006,3.2 99 | 3/23/2006,3.18 100 | 3/24/2006,3.23 101 | 3/27/2006,3.19 102 | 3/28/2006,3.12 103 | 3/29/2006,3.14 104 | 3/30/2006,3.11 105 | 3/31/2006,3.13 106 | 4/3/2006,3.09 107 | 4/4/2006,3.1 108 | 4/5/2006,3.13 109 | 4/6/2006,3.12 110 | 4/7/2006,3.06 111 | 4/10/2006,3.1 112 | 4/11/2006,3.11 113 | 4/12/2006,3.06 114 | 4/13/2006,3.05 115 | 4/17/2006,3.08 116 | 4/18/2006,3.11 117 | 4/19/2006,3.07 118 | 4/20/2006,3.04 119 | 4/21/2006,3.04 120 | 4/24/2006,3.06 121 | 4/25/2006,2.98 122 | 4/26/2006,2.97 123 | 4/27/2006,3 124 | 4/28/2006,3 125 | 4/30/2006,3.04 126 | 5/1/2006,2.96 127 | 5/2/2006,2.97 128 | 5/3/2006,2.94 129 | 5/4/2006,2.93 130 | 5/5/2006,2.96 131 | 5/8/2006,2.94 132 | 5/9/2006,2.92 133 | 5/10/2006,2.9 134 | 5/11/2006,2.88 135 | 5/12/2006,2.88 136 | 5/15/2006,2.92 137 | 5/16/2006,2.99 138 | 5/17/2006,3.03 139 | 5/18/2006,3.09 140 | 5/19/2006,3.08 141 | 5/22/2006,3.15 142 | 5/23/2006,3.12 143 | 5/24/2006,3.18 144 | 5/25/2006,3.13 145 | 5/26/2006,3.12 146 | 5/29/2006,3.12 147 | 5/30/2006,3.1 148 | 5/31/2006,3.12 149 | 6/1/2006,3.13 150 | 6/2/2006,3.22 151 | 6/5/2006,3.19 152 | 6/6/2006,3.24 153 | 6/7/2006,3.22 154 | 6/8/2006,3.26 155 | 6/9/2006,3.27 156 | 6/12/2006,3.25 157 | 6/13/2006,3.32 158 | 6/14/2006,3.32 159 | 6/15/2006,3.29 160 | 6/16/2006,3.26 161 | 6/19/2006,3.25 162 | 6/20/2006,3.28 163 | 6/21/2006,3.34 164 | 6/22/2006,3.32 165 | 6/23/2006,3.31 166 | 6/26/2006,3.34 167 | 6/27/2006,3.36 168 | 6/28/2006,3.33 169 | 6/29/2006,3.33 170 | 6/30/2006,3.35 171 | 7/3/2006,3.33 172 | 7/4/2006,3.33 173 | 7/5/2006,3.27 174 | 7/6/2006,3.31 175 | 7/7/2006,3.33 176 | 7/10/2006,3.3 177 | 7/11/2006,3.33 178 | 7/12/2006,3.32 179 | 7/13/2006,3.39 180 | 7/14/2006,3.44 181 | 7/17/2006,3.42 182 | 7/18/2006,3.37 183 | 7/19/2006,3.42 184 | 7/20/2006,3.43 185 | 7/21/2006,3.41 186 | 7/24/2006,3.41 187 | 7/25/2006,3.38 188 | 7/26/2006,3.38 189 | 7/27/2006,3.36 190 | 7/28/2006,3.4 191 | 7/31/2006,3.45 192 | 8/1/2006,3.44 193 | 8/2/2006,3.42 194 | 8/3/2006,3.42 195 | 8/4/2006,3.44 196 | 8/7/2006,3.42 197 | 8/8/2006,3.41 198 | 8/9/2006,3.41 199 | 8/10/2006,3.42 200 | 8/11/2006,3.39 201 | 8/14/2006,3.36 202 | 8/15/2006,3.39 203 | 8/16/2006,3.42 204 | 8/17/2006,3.38 205 | 8/18/2006,3.41 206 | 8/21/2006,3.43 207 | 8/22/2006,3.43 208 | 8/23/2006,3.43 209 | 8/24/2006,3.43 210 | 8/25/2006,3.44 211 | 8/28/2006,3.41 212 | 8/29/2006,3.41 213 | 8/30/2006,3.42 214 | 8/31/2006,3.49 215 | 9/1/2006,3.49 216 | 9/4/2006,3.49 217 | 9/5/2006,3.43 218 | 9/6/2006,3.4 219 | 9/7/2006,3.41 220 | 9/8/2006,3.42 221 | 9/11/2006,3.39 222 | 9/12/2006,3.4 223 | 9/13/2006,3.38 224 | 9/14/2006,3.35 225 | 9/15/2006,3.33 226 | 9/18/2006,3.33 227 | 9/19/2006,3.4 228 | 9/20/2006,3.39 229 | 9/21/2006,3.48 230 | 9/22/2006,3.53 231 | 9/25/2006,3.55 232 | 9/26/2006,3.5 233 | 9/27/2006,3.46 234 | 9/28/2006,3.44 235 | 9/29/2006,3.42 236 | 9/30/2006,3.44 237 | 10/2/2006,3.44 238 | 10/3/2006,3.43 239 | 10/4/2006,3.45 240 | 10/5/2006,3.39 241 | 10/6/2006,3.31 242 | 10/9/2006,3.31 243 | 10/10/2006,3.27 244 | 10/11/2006,3.23 245 | 10/12/2006,3.22 246 | 10/13/2006,3.19 247 | 10/16/2006,3.18 248 | 10/17/2006,3.19 249 | 10/18/2006,3.18 250 | 10/19/2006,3.17 251 | 10/20/2006,3.17 252 | 10/23/2006,3.14 253 | 10/24/2006,3.15 254 | 10/25/2006,3.19 255 | 10/26/2006,3.21 256 | 10/27/2006,3.23 257 | 10/30/2006,3.21 258 | 10/31/2006,3.29 259 | 11/1/2006,3.3 260 | 11/2/2006,3.24 261 | 11/3/2006,3.12 262 | 11/6/2006,3.13 263 | 11/7/2006,3.14 264 | 11/8/2006,3.15 265 | 11/9/2006,3.13 266 | 11/10/2006,3.15 267 | 11/13/2006,3.12 268 | 11/14/2006,3.13 269 | 11/15/2006,3.05 270 | 11/16/2006,2.99 271 | 11/17/2006,3.06 272 | 11/20/2006,3.07 273 | 11/21/2006,3.13 274 | 11/22/2006,3.14 275 | 11/23/2006,3.14 276 | 11/24/2006,3.15 277 | 11/27/2006,3.17 278 | 11/28/2006,3.22 279 | 11/29/2006,3.15 280 | 11/30/2006,3.2 281 | 12/1/2006,3.21 282 | 12/4/2006,3.2 283 | 12/5/2006,3.14 284 | 12/6/2006,3.07 285 | 12/7/2006,3.05 286 | 12/8/2006,3 287 | 12/11/2006,3.02 288 | 12/12/2006,3.06 289 | 12/13/2006,3 290 | 12/14/2006,3 291 | 12/15/2006,2.98 292 | 12/18/2006,2.99 293 | 12/19/2006,2.98 294 | 12/20/2006,2.97 295 | 12/21/2006,2.99 296 | 12/22/2006,2.93 297 | 12/26/2006,2.93 298 | 12/27/2006,2.87 299 | 12/28/2006,2.83 300 | 12/29/2006,2.82 301 | 12/31/2006,2.89 302 | 1/2/2007,2.91 303 | 1/3/2007,2.91 304 | 1/4/2007,2.95 305 | 1/5/2007,2.93 306 | 1/8/2007,2.92 307 | 1/9/2007,2.89 308 | 1/10/2007,2.87 309 | 1/11/2007,2.82 310 | 1/12/2007,2.8 311 | 1/15/2007,2.79 312 | 1/16/2007,2.78 313 | 1/17/2007,2.72 314 | 1/18/2007,2.73 315 | 1/19/2007,2.7 316 | 1/22/2007,2.69 317 | 1/23/2007,2.65 318 | 1/24/2007,2.63 319 | 1/25/2007,2.57 320 | 1/26/2007,2.59 321 | 1/29/2007,2.58 322 | 1/30/2007,2.62 323 | 1/31/2007,2.72 324 | 2/1/2007,2.66 325 | 2/2/2007,2.67 326 | 2/5/2007,2.67 327 | 2/6/2007,2.67 328 | 2/7/2007,2.65 329 | 2/8/2007,2.65 330 | 2/9/2007,2.59 331 | 2/12/2007,2.59 332 | 2/13/2007,2.58 333 | 2/14/2007,2.62 334 | 2/15/2007,2.59 335 | 2/16/2007,2.57 336 | 2/19/2007,2.57 337 | 2/20/2007,2.57 338 | 2/21/2007,2.53 339 | 2/22/2007,2.49 340 | 2/23/2007,2.55 341 | 2/26/2007,2.58 342 | 2/27/2007,2.79 343 | 2/28/2007,2.82 344 | 3/1/2007,2.83 345 | 3/2/2007,2.91 346 | 3/5/2007,2.99 347 | 3/6/2007,2.94 348 | 3/7/2007,2.91 349 | 3/8/2007,2.85 350 | 3/9/2007,2.75 351 | 3/12/2007,2.8 352 | 3/13/2007,2.92 353 | 3/14/2007,2.94 354 | 3/15/2007,2.88 355 | 3/16/2007,2.88 356 | 3/19/2007,2.85 357 | 3/20/2007,2.88 358 | 3/21/2007,2.91 359 | 3/22/2007,2.81 360 | 3/23/2007,2.79 361 | 3/26/2007,2.82 362 | 3/27/2007,2.81 363 | 3/28/2007,2.84 364 | 3/29/2007,2.82 365 | 3/30/2007,2.8 366 | 3/31/2007,2.85 367 | 4/2/2007,2.86 368 | 4/3/2007,2.83 369 | 4/4/2007,2.87 370 | 4/5/2007,2.84 371 | 4/9/2007,2.76 372 | 4/10/2007,2.78 373 | 4/11/2007,2.75 374 | 4/12/2007,2.75 375 | 4/13/2007,2.71 376 | 4/16/2007,2.7 377 | 4/17/2007,2.72 378 | 4/18/2007,2.73 379 | 4/19/2007,2.71 380 | 4/20/2007,2.68 381 | 4/23/2007,2.68 382 | 4/24/2007,2.7 383 | 4/25/2007,2.67 384 | 4/26/2007,2.63 385 | 4/27/2007,2.63 386 | 4/30/2007,2.74 387 | 5/1/2007,2.74 388 | 5/2/2007,2.72 389 | 5/3/2007,2.67 390 | 5/4/2007,2.7 391 | 5/7/2007,2.69 392 | 5/8/2007,2.69 393 | 5/9/2007,2.64 394 | 5/10/2007,2.65 395 | 5/11/2007,2.63 396 | 5/14/2007,2.61 397 | 5/15/2007,2.57 398 | 5/16/2007,2.58 399 | 5/17/2007,2.55 400 | 5/18/2007,2.51 401 | 5/21/2007,2.5 402 | 5/22/2007,2.46 403 | 5/23/2007,2.44 404 | 5/24/2007,2.45 405 | 5/25/2007,2.45 406 | 5/29/2007,2.42 407 | 5/30/2007,2.44 408 | 5/31/2007,2.46 409 | 6/1/2007,2.41 410 | 6/4/2007,2.44 411 | 6/5/2007,2.41 412 | 6/6/2007,2.48 413 | 6/7/2007,2.48 414 | 6/8/2007,2.51 415 | 6/11/2007,2.5 416 | 6/12/2007,2.49 417 | 6/13/2007,2.53 418 | 6/14/2007,2.49 419 | 6/15/2007,2.51 420 | 6/18/2007,2.52 421 | 6/19/2007,2.6 422 | 6/20/2007,2.59 423 | 6/21/2007,2.66 424 | 6/22/2007,2.69 425 | 6/25/2007,2.8 426 | 6/26/2007,2.79 427 | 6/27/2007,2.88 428 | 6/28/2007,2.83 429 | 6/29/2007,2.89 430 | 6/30/2007,2.98 431 | 7/2/2007,3.03 432 | 7/3/2007,2.99 433 | 7/4/2007,2.99 434 | 7/5/2007,2.92 435 | 7/6/2007,2.9 436 | 7/9/2007,2.93 437 | 7/10/2007,3.12 438 | 7/11/2007,3.16 439 | 7/12/2007,3.08 440 | 7/13/2007,3.06 441 | 7/16/2007,3.07 442 | 7/17/2007,3.05 443 | 7/18/2007,3.2 444 | 7/19/2007,3.2 445 | 7/20/2007,3.37 446 | 7/23/2007,3.44 447 | 7/24/2007,3.61 448 | 7/25/2007,3.71 449 | 7/26/2007,4.13 450 | 7/27/2007,4.28 451 | 7/30/2007,4.24 452 | 7/31/2007,4.19 453 | 8/1/2007,4.28 454 | 8/2/2007,4.18 455 | 8/3/2007,4.24 456 | 8/6/2007,4.28 457 | 8/7/2007,4.2 458 | 8/8/2007,3.93 459 | 8/9/2007,4.04 460 | 8/10/2007,4.12 461 | 8/13/2007,4.08 462 | 8/14/2007,4.16 463 | 8/15/2007,4.27 464 | 8/16/2007,4.59 465 | 8/17/2007,4.48 466 | 8/20/2007,4.5 467 | 8/21/2007,4.53 468 | 8/22/2007,4.42 469 | 8/23/2007,4.34 470 | 8/24/2007,4.29 471 | 8/27/2007,4.3 472 | 8/28/2007,4.44 473 | 8/29/2007,4.43 474 | 8/30/2007,4.48 475 | 8/31/2007,4.55 476 | 9/3/2007,4.55 477 | 9/4/2007,4.53 478 | 9/5/2007,4.6 479 | 9/6/2007,4.56 480 | 9/7/2007,4.73 481 | 9/10/2007,4.79 482 | 9/11/2007,4.74 483 | 9/12/2007,4.69 484 | 9/13/2007,4.57 485 | 9/14/2007,4.58 486 | 9/17/2007,4.52 487 | 9/18/2007,4.46 488 | 9/19/2007,4.3 489 | 9/20/2007,4.21 490 | 9/21/2007,4.16 491 | 9/24/2007,4.1 492 | 9/25/2007,4.17 493 | 9/26/2007,4.14 494 | 9/27/2007,4.15 495 | 9/28/2007,4.16 496 | 9/30/2007,4.2 497 | 10/1/2007,4.19 498 | 10/2/2007,4.2 499 | 10/3/2007,4.16 500 | 10/4/2007,4.15 501 | 10/5/2007,4.02 502 | 10/8/2007,4.02 503 | 10/9/2007,3.95 504 | 10/10/2007,3.91 505 | 10/11/2007,3.86 506 | 10/12/2007,3.83 507 | 10/15/2007,3.81 508 | 10/16/2007,3.91 509 | 10/17/2007,4.07 510 | 10/18/2007,4.2 511 | 10/19/2007,4.36 512 | 10/22/2007,4.39 513 | 10/23/2007,4.34 514 | 10/24/2007,4.42 515 | 10/25/2007,4.4 516 | 10/26/2007,4.39 517 | 10/29/2007,4.38 518 | 10/30/2007,4.38 519 | 10/31/2007,4.36 520 | 11/1/2007,4.53 521 | 11/2/2007,4.65 522 | 11/5/2007,4.69 523 | 11/6/2007,4.66 524 | 11/7/2007,4.76 525 | 11/8/2007,4.91 526 | 11/9/2007,5.02 527 | 11/12/2007,5.02 528 | 11/13/2007,5.07 529 | 11/14/2007,5.04 530 | 11/15/2007,5.25 531 | 11/16/2007,5.37 532 | 11/19/2007,5.61 533 | 11/20/2007,5.71 534 | 11/21/2007,5.87 535 | 11/22/2007,5.87 536 | 11/23/2007,5.8 537 | 11/26/2007,5.92 538 | 11/27/2007,5.88 539 | 11/28/2007,5.73 540 | 11/29/2007,5.73 541 | 11/30/2007,5.75 542 | 12/3/2007,5.82 543 | 12/4/2007,5.89 544 | 12/5/2007,5.86 545 | 12/6/2007,5.78 546 | 12/7/2007,5.63 547 | 12/10/2007,5.55 548 | 12/11/2007,5.68 549 | 12/12/2007,5.61 550 | 12/13/2007,5.58 551 | 12/14/2007,5.54 552 | 12/17/2007,5.58 553 | 12/18/2007,5.66 554 | 12/19/2007,5.71 555 | 12/20/2007,5.79 556 | 12/21/2007,5.68 557 | 12/24/2007,5.65 558 | 12/26/2007,5.59 559 | 12/27/2007,5.64 560 | 12/28/2007,5.73 561 | 12/31/2007,5.92 562 | 1/2/2008,6.1 563 | 1/3/2008,6.17 564 | 1/4/2008,6.36 565 | 1/7/2008,6.45 566 | 1/8/2008,6.51 567 | 1/9/2008,6.73 568 | 1/10/2008,6.63 569 | 1/11/2008,6.68 570 | 1/14/2008,6.66 571 | 1/15/2008,6.74 572 | 1/16/2008,6.83 573 | 1/17/2008,6.99 574 | 1/18/2008,7.04 575 | 1/21/2008,7.05 576 | 1/22/2008,7.39 577 | 1/23/2008,7.48 578 | 1/24/2008,7.12 579 | 1/25/2008,6.99 580 | 1/28/2008,7.03 581 | 1/29/2008,6.85 582 | 1/30/2008,6.78 583 | 1/31/2008,6.95 584 | 2/1/2008,6.96 585 | 2/4/2008,6.92 586 | 2/5/2008,7.06 587 | 2/6/2008,7.09 588 | 2/7/2008,7.1 589 | 2/8/2008,7.25 590 | 2/11/2008,7.37 591 | 2/12/2008,7.37 592 | 2/13/2008,7.38 593 | 2/14/2008,7.25 594 | 2/15/2008,7.3 595 | 2/18/2008,7.3 596 | 2/19/2008,7.25 597 | 2/20/2008,7.25 598 | 2/21/2008,7.35 599 | 2/22/2008,7.35 600 | 2/25/2008,7.21 601 | 2/26/2008,7.17 602 | 2/27/2008,7.18 603 | 2/28/2008,7.37 604 | 2/29/2008,7.67 605 | 3/3/2008,7.75 606 | 3/4/2008,7.76 607 | 3/5/2008,7.68 608 | 3/6/2008,7.79 609 | 3/7/2008,7.92 610 | 3/10/2008,8.08 611 | 3/11/2008,7.95 612 | 3/12/2008,8.13 613 | 3/13/2008,8.27 614 | 3/14/2008,8.38 615 | 3/17/2008,8.62 616 | 3/18/2008,8.39 617 | 3/19/2008,8.37 618 | 3/20/2008,8.4 619 | 3/24/2008,8.07 620 | 3/25/2008,7.97 621 | 3/26/2008,7.99 622 | 3/27/2008,7.94 623 | 3/28/2008,7.99 624 | 3/31/2008,8.21 625 | 4/1/2008,8.02 626 | 4/2/2008,7.86 627 | 4/3/2008,7.78 628 | 4/4/2008,7.76 629 | 4/7/2008,7.54 630 | 4/8/2008,7.58 631 | 4/9/2008,7.71 632 | 4/10/2008,7.7 633 | 4/11/2008,7.76 634 | 4/14/2008,7.74 635 | 4/15/2008,7.65 636 | 4/16/2008,7.46 637 | 4/17/2008,7.36 638 | 4/18/2008,7.15 639 | 4/21/2008,7.13 640 | 4/22/2008,7.07 641 | 4/23/2008,7.05 642 | 4/24/2008,6.92 643 | 4/25/2008,6.84 644 | 4/28/2008,6.85 645 | 4/29/2008,6.86 646 | 4/30/2008,6.86 647 | 5/1/2008,6.81 648 | 5/2/2008,6.64 649 | 5/5/2008,6.65 650 | 5/6/2008,6.7 651 | 5/7/2008,6.72 652 | 5/8/2008,6.83 653 | 5/9/2008,6.9 654 | 5/12/2008,6.9 655 | 5/13/2008,6.76 656 | 5/14/2008,6.65 657 | 5/15/2008,6.69 658 | 5/16/2008,6.63 659 | 5/19/2008,6.6 660 | 5/20/2008,6.68 661 | 5/21/2008,6.64 662 | 5/22/2008,6.59 663 | 5/23/2008,6.7 664 | 5/26/2008,6.7 665 | 5/27/2008,6.72 666 | 5/28/2008,6.61 667 | 5/29/2008,6.55 668 | 5/30/2008,6.57 669 | 5/31/2008,6.53 670 | 6/2/2008,6.67 671 | 6/3/2008,6.78 672 | 6/4/2008,6.79 673 | 6/5/2008,6.63 674 | 6/6/2008,6.68 675 | 6/9/2008,6.58 676 | 6/10/2008,6.49 677 | 6/11/2008,6.56 678 | 6/12/2008,6.43 679 | 6/13/2008,6.39 680 | 6/16/2008,6.37 681 | 6/17/2008,6.4 682 | 6/18/2008,6.53 683 | 6/19/2008,6.53 684 | 6/20/2008,6.7 685 | 6/23/2008,6.76 686 | 6/24/2008,7.01 687 | 6/25/2008,7.02 688 | 6/26/2008,7.27 689 | 6/27/2008,7.41 690 | 6/30/2008,7.35 691 | 7/1/2008,7.48 692 | 7/2/2008,7.53 693 | 7/3/2008,7.63 694 | 7/4/2008,7.63 695 | 7/7/2008,7.76 696 | 7/8/2008,7.87 697 | 7/9/2008,7.82 698 | 7/10/2008,7.9 699 | 7/11/2008,7.88 700 | 7/14/2008,7.89 701 | 7/15/2008,8.06 702 | 7/16/2008,8.01 703 | 7/17/2008,7.79 704 | 7/18/2008,7.67 705 | 7/21/2008,7.58 706 | 7/22/2008,7.6 707 | 7/23/2008,7.46 708 | 7/24/2008,7.64 709 | 7/25/2008,7.6 710 | 7/28/2008,7.79 711 | 7/29/2008,7.82 712 | 7/30/2008,7.81 713 | 7/31/2008,8 714 | 8/1/2008,8.13 715 | 8/4/2008,8.14 716 | 8/5/2008,8.11 717 | 8/6/2008,8.05 718 | 8/7/2008,8.16 719 | 8/8/2008,8.14 720 | 8/11/2008,8.07 721 | 8/12/2008,8.11 722 | 8/13/2008,8.09 723 | 8/14/2008,8.11 724 | 8/15/2008,8.12 725 | 8/18/2008,8.17 726 | 8/19/2008,8.23 727 | 8/20/2008,8.3 728 | 8/21/2008,8.29 729 | 8/22/2008,8.25 730 | 8/25/2008,8.32 731 | 8/26/2008,8.32 732 | 8/27/2008,8.34 733 | 8/28/2008,8.29 734 | 8/29/2008,8.28 735 | 8/31/2008,8.36 736 | 9/1/2008,8.36 737 | 9/2/2008,8.42 738 | 9/3/2008,8.48 739 | 9/4/2008,8.55 740 | 9/5/2008,8.55 741 | 9/8/2008,8.46 742 | 9/9/2008,8.53 743 | 9/10/2008,8.55 744 | 9/11/2008,8.62 745 | 9/12/2008,8.54 746 | 9/15/2008,9.05 747 | 9/16/2008,9.29 748 | 9/17/2008,9.64 749 | 9/18/2008,9.83 750 | 9/19/2008,9.21 751 | 9/22/2008,9.21 752 | 9/23/2008,9.39 753 | 9/24/2008,9.67 754 | 9/25/2008,9.87 755 | 9/26/2008,10.25 756 | 9/29/2008,10.75 757 | 9/30/2008,10.96 758 | 10/1/2008,11.24 759 | 10/2/2008,12 760 | 10/3/2008,12.24 761 | 10/6/2008,13.07 762 | 10/7/2008,13.18 763 | 10/8/2008,13.51 764 | 10/9/2008,13.91 765 | 10/10/2008,15.36 766 | 10/13/2008,15.38 767 | 10/14/2008,14.5 768 | 10/15/2008,15.14 769 | 10/16/2008,15.72 770 | 10/17/2008,15.95 771 | 10/20/2008,15.76 772 | 10/21/2008,15.87 773 | 10/22/2008,16.05 774 | 10/23/2008,16.34 775 | 10/24/2008,16.69 776 | 10/27/2008,16.81 777 | 10/28/2008,16.67 778 | 10/29/2008,16.21 779 | 10/30/2008,15.91 780 | 10/31/2008,16.17 781 | 11/3/2008,16.29 782 | 11/4/2008,16.18 783 | 11/5/2008,16.08 784 | 11/6/2008,16.19 785 | 11/7/2008,16.31 786 | 11/10/2008,16.35 787 | 11/11/2008,16.36 788 | 11/12/2008,16.84 789 | 11/13/2008,17.06 790 | 11/14/2008,17.16 791 | 11/17/2008,17.43 792 | 11/18/2008,17.96 793 | 11/19/2008,18.61 794 | 11/20/2008,19.48 795 | 11/21/2008,19.92 796 | 11/24/2008,19.87 797 | 11/25/2008,19.86 798 | 11/26/2008,19.76 799 | 11/27/2008,19.77 800 | 11/28/2008,19.78 801 | 11/30/2008,19.88 802 | 12/1/2008,20.2 803 | 12/2/2008,20.19 804 | 12/3/2008,20.39 805 | 12/4/2008,20.54 806 | 12/5/2008,20.74 807 | 12/8/2008,20.62 808 | 12/9/2008,20.59 809 | 12/10/2008,20.66 810 | 12/11/2008,20.92 811 | 12/12/2008,21.3 812 | 12/15/2008,21.82 813 | 12/16/2008,21.44 814 | 12/17/2008,21.06 815 | 12/18/2008,20.72 816 | 12/19/2008,20.43 817 | 12/22/2008,20.18 818 | 12/23/2008,19.82 819 | 12/24/2008,19.79 820 | 12/26/2008,19.55 821 | 12/29/2008,19.25 822 | 12/30/2008,18.48 823 | 12/31/2008,18.12 824 | 1/2/2009,17.84 825 | 1/5/2009,17.44 826 | 1/6/2009,16.68 827 | 1/7/2009,16.42 828 | 1/8/2009,16.67 829 | 1/9/2009,16.65 830 | 1/12/2009,16.67 831 | 1/13/2009,16.82 832 | 1/14/2009,16.86 833 | 1/15/2009,16.97 834 | 1/16/2009,16.79 835 | 1/19/2009,16.81 836 | 1/20/2009,16.79 837 | 1/21/2009,16.71 838 | 1/22/2009,16.69 839 | 1/23/2009,16.73 840 | 1/26/2009,16.74 841 | 1/27/2009,16.76 842 | 1/28/2009,16.4 843 | 1/29/2009,16.22 844 | 1/30/2009,16.22 845 | 1/31/2009,16.26 846 | 2/2/2009,16.4 847 | 2/3/2009,16.3 848 | 2/4/2009,16.15 849 | 2/5/2009,16.13 850 | 2/6/2009,16.05 851 | 2/9/2009,15.98 852 | 2/10/2009,16.07 853 | 2/11/2009,16.17 854 | 2/12/2009,16.27 855 | 2/13/2009,16.21 856 | 2/16/2009,16.06 857 | 2/17/2009,16.45 858 | 2/18/2009,16.59 859 | 2/19/2009,16.48 860 | 2/20/2009,16.76 861 | 2/23/2009,16.85 862 | 2/24/2009,17.22 863 | 2/25/2009,17.17 864 | 2/26/2009,17.18 865 | 2/27/2009,17.39 866 | 2/28/2009,17.38 867 | 3/2/2009,17.84 868 | 3/3/2009,18.09 869 | 3/4/2009,18.28 870 | 3/5/2009,18.59 871 | 3/6/2009,18.66 872 | 3/9/2009,18.86 873 | 3/10/2009,18.71 874 | 3/11/2009,18.38 875 | 3/12/2009,18.29 876 | 3/13/2009,18.04 877 | 3/16/2009,17.63 878 | 3/17/2009,17.58 879 | 3/18/2009,17.97 880 | 3/19/2009,17.74 881 | 3/20/2009,17.74 882 | 3/23/2009,17.56 883 | 3/24/2009,17.45 884 | 3/25/2009,17.26 885 | 3/26/2009,17.09 886 | 3/27/2009,16.75 887 | 3/30/2009,16.89 888 | 3/31/2009,17.03 889 | 4/1/2009,17.12 890 | 4/2/2009,16.78 891 | 4/3/2009,16.53 892 | 4/6/2009,16.43 893 | 4/7/2009,16.44 894 | 4/8/2009,16.36 895 | 4/9/2009,16.19 896 | 4/13/2009,16.16 897 | 4/14/2009,15.85 898 | 4/15/2009,15.74 899 | 4/16/2009,15.44 900 | 4/17/2009,15.05 901 | 4/20/2009,15.17 902 | 4/21/2009,15.35 903 | 4/22/2009,15.27 904 | 4/23/2009,15.17 905 | 4/24/2009,14.87 906 | 4/27/2009,14.91 907 | 4/28/2009,14.79 908 | 4/29/2009,14.46 909 | 4/30/2009,13.45 910 | 5/1/2009,13.34 911 | 5/4/2009,13.23 912 | 5/5/2009,13.08 913 | 5/6/2009,12.94 914 | 5/7/2009,12.54 915 | 5/8/2009,12.41 916 | 5/11/2009,12.58 917 | 5/12/2009,12.64 918 | 5/13/2009,12.85 919 | 5/14/2009,12.91 920 | 5/15/2009,12.91 921 | 5/18/2009,12.82 922 | 5/19/2009,12.67 923 | 5/20/2009,12.45 924 | 5/21/2009,12.32 925 | 5/22/2009,12.13 926 | 5/25/2009,12.15 927 | 5/26/2009,12.09 928 | 5/27/2009,11.87 929 | 5/28/2009,11.74 930 | 5/29/2009,11.76 931 | 5/31/2009,11.7 932 | 6/1/2009,11.36 933 | 6/2/2009,11.19 934 | 6/3/2009,11.17 935 | 6/4/2009,11.01 936 | 6/5/2009,10.7 937 | 6/8/2009,10.6 938 | 6/9/2009,10.59 939 | 6/10/2009,10.42 940 | 6/11/2009,10.43 941 | 6/12/2009,10.41 942 | 6/15/2009,10.4 943 | 6/16/2009,10.48 944 | 6/17/2009,10.73 945 | 6/18/2009,10.74 946 | 6/19/2009,10.75 947 | 6/22/2009,10.93 948 | 6/23/2009,11.03 949 | 6/24/2009,11.01 950 | 6/25/2009,11.09 951 | 6/26/2009,11.09 952 | 6/29/2009,11.05 953 | 6/30/2009,10.55 954 | 7/1/2009,10.5 955 | 7/2/2009,10.52 956 | 7/3/2009,10.52 957 | 7/6/2009,10.61 958 | 7/7/2009,10.63 959 | 7/8/2009,10.84 960 | 7/9/2009,10.79 961 | 7/10/2009,10.89 962 | 7/13/2009,10.92 963 | 7/14/2009,10.76 964 | 7/15/2009,10.52 965 | 7/16/2009,10.57 966 | 7/17/2009,10.41 967 | 7/20/2009,10.37 968 | 7/21/2009,10.29 969 | 7/22/2009,10.18 970 | 7/23/2009,9.88 971 | 7/24/2009,9.8 972 | 7/27/2009,9.66 973 | 7/28/2009,9.56 974 | 7/29/2009,9.44 975 | 7/30/2009,9.33 976 | 7/31/2009,9.22 977 | 8/3/2009,8.99 978 | 8/4/2009,8.88 979 | 8/5/2009,8.77 980 | 8/6/2009,8.73 981 | 8/7/2009,8.57 982 | 8/10/2009,8.58 983 | 8/11/2009,8.64 984 | 8/12/2009,8.78 985 | 8/13/2009,8.91 986 | 8/14/2009,8.94 987 | 8/17/2009,9.17 988 | 8/18/2009,9.19 989 | 8/19/2009,9.25 990 | 8/20/2009,9.27 991 | 8/21/2009,9.13 992 | 8/24/2009,9.14 993 | 8/25/2009,9.12 994 | 8/26/2009,9.11 995 | 8/27/2009,9.07 996 | 8/28/2009,9.04 997 | 8/31/2009,9.12 998 | 9/1/2009,9.18 999 | 9/2/2009,9.23 1000 | 9/3/2009,9.19 1001 | 9/4/2009,9.09 1002 | 9/7/2009,9.1 1003 | 9/8/2009,9.03 1004 | 9/9/2009,8.98 1005 | 9/10/2009,8.93 1006 | 9/11/2009,8.78 1007 | 9/14/2009,8.57 1008 | 9/15/2009,8.35 1009 | 9/16/2009,8.09 1010 | 9/17/2009,8.09 1011 | 9/18/2009,7.98 1012 | 9/21/2009,8 1013 | 9/22/2009,7.93 1014 | 9/23/2009,7.88 1015 | 9/24/2009,7.87 1016 | 9/25/2009,7.89 1017 | 9/28/2009,7.95 1018 | 9/29/2009,7.91 1019 | 9/30/2009,7.93 1020 | 10/1/2009,8.11 1021 | 10/2/2009,8.2 1022 | 10/5/2009,8.15 1023 | 10/6/2009,8.05 1024 | 10/7/2009,8.11 1025 | 10/8/2009,8 1026 | 10/9/2009,7.87 1027 | 10/12/2009,7.88 1028 | 10/13/2009,7.93 1029 | 10/14/2009,7.76 1030 | 10/15/2009,7.69 1031 | 10/16/2009,7.69 1032 | 10/19/2009,7.67 1033 | 10/20/2009,7.66 1034 | 10/21/2009,7.58 1035 | 10/22/2009,7.52 1036 | 10/23/2009,7.45 1037 | 10/26/2009,7.35 1038 | 10/27/2009,7.47 1039 | 10/28/2009,7.59 1040 | 10/29/2009,7.56 1041 | 10/30/2009,7.66 1042 | 10/31/2009,7.6 1043 | 11/2/2009,7.6 1044 | 11/3/2009,7.61 1045 | 11/4/2009,7.55 1046 | 11/5/2009,7.56 1047 | 11/6/2009,7.6 1048 | 11/9/2009,7.57 1049 | 11/10/2009,7.52 1050 | 11/11/2009,7.52 1051 | 11/12/2009,7.54 1052 | 11/13/2009,7.52 1053 | 11/16/2009,7.55 1054 | 11/17/2009,7.55 1055 | 11/18/2009,7.51 1056 | 11/19/2009,7.55 1057 | 11/20/2009,7.54 1058 | 11/23/2009,7.52 1059 | 11/24/2009,7.56 1060 | 11/25/2009,7.57 1061 | 11/26/2009,7.57 1062 | 11/27/2009,7.64 1063 | 11/30/2009,7.65 1064 | 12/1/2009,7.58 1065 | 12/2/2009,7.49 1066 | 12/3/2009,7.4 1067 | 12/4/2009,7.24 1068 | 12/7/2009,7.26 1069 | 12/8/2009,7.31 1070 | 12/9/2009,7.26 1071 | 12/10/2009,7.18 1072 | 12/11/2009,7.09 1073 | 12/14/2009,6.97 1074 | 12/15/2009,6.86 1075 | 12/16/2009,6.82 1076 | 12/17/2009,6.91 1077 | 12/18/2009,6.84 1078 | 12/21/2009,6.72 1079 | 12/22/2009,6.65 1080 | 12/23/2009,6.6 1081 | 12/24/2009,6.54 1082 | 12/28/2009,6.5 1083 | 12/29/2009,6.49 1084 | 12/30/2009,6.5 1085 | 12/31/2009,6.39 1086 | 1/4/2010,6.34 1087 | 1/5/2010,6.3 1088 | 1/6/2010,6.17 1089 | 1/7/2010,6.03 1090 | 1/8/2010,6.02 1091 | 1/11/2010,5.99 1092 | 1/12/2010,6.07 1093 | 1/13/2010,6.03 1094 | 1/14/2010,6.04 1095 | 1/15/2010,6.1 1096 | 1/18/2010,6.1 1097 | 1/19/2010,6.11 1098 | 1/20/2010,6.16 1099 | 1/21/2010,6.24 1100 | 1/22/2010,6.36 1101 | 1/25/2010,6.42 1102 | 1/26/2010,6.44 1103 | 1/27/2010,6.41 1104 | 1/28/2010,6.41 1105 | 1/29/2010,6.46 1106 | 1/31/2010,6.54 1107 | 2/1/2010,6.54 1108 | 2/2/2010,6.54 1109 | 2/3/2010,6.46 1110 | 2/4/2010,6.59 1111 | 2/5/2010,6.81 1112 | 2/8/2010,6.85 1113 | 2/9/2010,6.88 1114 | 2/10/2010,6.93 1115 | 2/11/2010,6.98 1116 | 2/12/2010,7.03 1117 | 2/15/2010,7.01 1118 | 2/16/2010,7.02 1119 | 2/17/2010,6.8 1120 | 2/18/2010,6.65 1121 | 2/19/2010,6.56 1122 | 2/22/2010,6.5 1123 | 2/23/2010,6.6 1124 | 2/24/2010,6.58 1125 | 2/25/2010,6.65 1126 | 2/26/2010,6.66 1127 | 2/28/2010,6.71 1128 | 3/1/2010,6.66 1129 | 3/2/2010,6.58 1130 | 3/3/2010,6.54 1131 | 3/4/2010,6.49 1132 | 3/5/2010,6.37 1133 | 3/8/2010,6.27 1134 | 3/9/2010,6.23 1135 | 3/10/2010,6.16 1136 | 3/11/2010,6.15 1137 | 3/12/2010,6.11 1138 | 3/15/2010,6.12 1139 | 3/16/2010,6.16 1140 | 3/17/2010,6.11 1141 | 3/18/2010,6.02 1142 | 3/19/2010,5.98 1143 | 3/22/2010,6.02 1144 | 3/23/2010,6 1145 | 3/24/2010,5.85 1146 | 3/25/2010,5.78 1147 | 3/26/2010,5.8 1148 | 3/29/2010,5.79 1149 | 3/30/2010,5.77 1150 | 3/31/2010,5.84 1151 | 4/1/2010,5.82 1152 | 4/5/2010,5.65 1153 | 4/6/2010,5.65 1154 | 4/7/2010,5.72 1155 | 4/8/2010,5.7 1156 | 4/9/2010,5.68 1157 | 4/12/2010,5.68 1158 | 4/13/2010,5.66 1159 | 4/14/2010,5.57 1160 | 4/15/2010,5.52 1161 | 4/16/2010,5.57 1162 | 4/19/2010,5.59 1163 | 4/20/2010,5.54 1164 | 4/21/2010,5.55 1165 | 4/22/2010,5.5 1166 | 4/23/2010,5.44 1167 | 4/26/2010,5.42 1168 | 4/27/2010,5.55 1169 | 4/28/2010,5.51 1170 | 4/29/2010,5.54 1171 | 4/30/2010,5.61 1172 | 5/3/2010,5.57 1173 | 5/4/2010,5.68 1174 | 5/5/2010,5.91 1175 | 5/6/2010,6.26 1176 | 5/7/2010,6.47 1177 | 5/10/2010,6.25 1178 | 5/11/2010,6.34 1179 | 5/12/2010,6.18 1180 | 5/13/2010,6.14 1181 | 5/14/2010,6.33 1182 | 5/17/2010,6.36 1183 | 5/18/2010,6.46 1184 | 5/19/2010,6.59 1185 | 5/20/2010,6.92 1186 | 5/21/2010,7.02 1187 | 5/24/2010,6.97 1188 | 5/25/2010,7.24 1189 | 5/26/2010,7.07 1190 | 5/27/2010,6.88 1191 | 5/28/2010,6.9 1192 | 5/31/2010,6.98 1193 | 6/1/2010,7.04 1194 | 6/2/2010,7.04 1195 | 6/3/2010,6.93 1196 | 6/4/2010,7.14 1197 | 6/7/2010,7.18 1198 | 6/8/2010,7.27 1199 | 6/9/2010,7.26 1200 | 6/10/2010,7.19 1201 | 6/11/2010,7.27 1202 | 6/14/2010,7.16 1203 | 6/15/2010,7.03 1204 | 6/16/2010,6.97 1205 | 6/17/2010,6.91 1206 | 6/18/2010,6.82 1207 | 6/21/2010,6.68 1208 | 6/22/2010,6.75 1209 | 6/23/2010,6.82 1210 | 6/24/2010,6.89 1211 | 6/25/2010,6.9 1212 | 6/28/2010,6.93 1213 | 6/29/2010,7.06 1214 | 6/30/2010,7.13 1215 | 7/1/2010,7.17 1216 | 7/2/2010,7.13 1217 | 7/5/2010,7.13 1218 | 7/6/2010,7.14 1219 | 7/7/2010,7.1 1220 | 7/8/2010,6.98 1221 | 7/9/2010,6.88 1222 | 7/12/2010,6.85 1223 | 7/13/2010,6.7 1224 | 7/14/2010,6.68 1225 | 7/15/2010,6.73 1226 | 7/16/2010,6.77 1227 | 7/19/2010,6.77 1228 | 7/20/2010,6.79 1229 | 7/21/2010,6.75 1230 | 7/22/2010,6.67 1231 | 7/23/2010,6.59 1232 | 7/26/2010,6.54 1233 | 7/27/2010,6.43 1234 | 7/28/2010,6.47 1235 | 7/29/2010,6.48 1236 | 7/30/2010,6.57 1237 | 7/31/2010,6.59 1238 | 8/2/2010,6.54 1239 | 8/3/2010,6.55 1240 | 8/4/2010,6.49 1241 | 8/5/2010,6.51 1242 | 8/6/2010,6.57 1243 | 8/9/2010,6.54 1244 | 8/10/2010,6.6 1245 | 8/11/2010,6.78 1246 | 8/12/2010,6.83 1247 | 8/13/2010,6.87 1248 | 8/16/2010,6.91 1249 | 8/17/2010,6.82 1250 | 8/18/2010,6.78 1251 | 8/19/2010,6.82 1252 | 8/20/2010,6.8 1253 | 8/23/2010,6.82 1254 | 8/24/2010,6.93 1255 | 8/25/2010,6.92 1256 | 8/26/2010,6.93 1257 | 8/27/2010,6.81 1258 | 8/30/2010,6.89 1259 | 8/31/2010,6.92 1260 | 9/1/2010,6.8 1261 | 9/2/2010,6.72 1262 | 9/3/2010,6.62 1263 | 9/6/2010,6.62 1264 | 9/7/2010,6.68 1265 | 9/8/2010,6.59 1266 | 9/9/2010,6.47 1267 | 9/10/2010,6.37 1268 | 9/13/2010,6.36 1269 | 9/14/2010,6.36 1270 | 9/15/2010,6.31 1271 | 9/16/2010,6.25 1272 | 9/17/2010,6.24 1273 | 9/20/2010,6.25 1274 | 9/21/2010,6.32 1275 | 9/22/2010,6.35 1276 | 9/23/2010,6.37 1277 | 9/24/2010,6.32 1278 | 9/27/2010,6.36 1279 | 9/28/2010,6.36 1280 | 9/29/2010,6.29 1281 | 9/30/2010,6.26 1282 | 10/1/2010,6.22 1283 | 10/4/2010,6.23 1284 | 10/5/2010,6.18 1285 | 10/6/2010,6.15 1286 | 10/7/2010,6.13 1287 | 10/8/2010,6.12 1288 | 10/11/2010,6.11 1289 | 10/12/2010,6.08 1290 | 10/13/2010,6.02 1291 | 10/14/2010,5.97 1292 | 10/15/2010,5.95 1293 | 10/18/2010,6.02 1294 | 10/19/2010,6.04 1295 | 10/20/2010,6.06 1296 | 10/21/2010,6 1297 | 10/22/2010,5.96 1298 | 10/25/2010,5.9 1299 | 10/26/2010,5.79 1300 | 10/27/2010,5.73 1301 | 10/28/2010,5.77 1302 | 10/29/2010,5.82 1303 | 10/31/2010,5.93 1304 | 11/1/2010,5.96 1305 | 11/2/2010,5.94 1306 | 11/3/2010,5.92 1307 | 11/4/2010,5.89 1308 | 11/5/2010,5.79 1309 | 11/8/2010,5.76 1310 | 11/9/2010,5.64 1311 | 11/10/2010,5.75 1312 | 11/11/2010,5.75 1313 | 11/12/2010,5.75 1314 | 11/15/2010,5.67 1315 | 11/16/2010,5.89 1316 | 11/17/2010,5.89 1317 | 11/18/2010,5.8 1318 | 11/19/2010,5.81 1319 | 11/22/2010,5.9 1320 | 11/23/2010,6.04 1321 | 11/24/2010,5.93 1322 | 11/25/2010,5.93 1323 | 11/26/2010,5.94 1324 | 11/29/2010,6.03 1325 | 11/30/2010,6.22 1326 | 12/1/2010,6.02 1327 | 12/2/2010,5.93 1328 | 12/3/2010,5.92 1329 | 12/6/2010,5.95 1330 | 12/7/2010,5.69 1331 | 12/8/2010,5.62 1332 | 12/9/2010,5.6 1333 | 12/10/2010,5.54 1334 | 12/13/2010,5.58 1335 | 12/14/2010,5.42 1336 | 12/15/2010,5.4 1337 | 12/16/2010,5.45 1338 | 12/17/2010,5.54 1339 | 12/20/2010,5.52 1340 | 12/21/2010,5.5 1341 | 12/22/2010,5.45 1342 | 12/23/2010,5.37 1343 | 12/24/2010,5.37 1344 | 12/27/2010,5.4 1345 | 12/28/2010,5.28 1346 | 12/29/2010,5.4 1347 | 12/30/2010,5.32 1348 | 12/31/2010,5.41 1349 | 1/3/2011,5.32 1350 | 1/4/2011,5.27 1351 | 1/5/2011,5.11 1352 | 1/6/2011,5.13 1353 | 1/7/2011,5.23 1354 | 1/10/2011,5.28 1355 | 1/11/2011,5.22 1356 | 1/12/2011,5.17 1357 | 1/13/2011,5.18 1358 | 1/14/2011,5.12 1359 | 1/17/2011,5.12 1360 | 1/18/2011,5.1 1361 | 1/19/2011,5.11 1362 | 1/20/2011,5.03 1363 | 1/21/2011,5.05 1364 | 1/24/2011,5.03 1365 | 1/25/2011,5.06 1366 | 1/26/2011,4.98 1367 | 1/27/2011,4.99 1368 | 1/28/2011,5.03 1369 | 1/31/2011,5.08 1370 | 2/1/2011,4.99 1371 | 2/2/2011,4.89 1372 | 2/3/2011,4.83 1373 | 2/4/2011,4.68 1374 | 2/7/2011,4.64 1375 | 2/8/2011,4.53 1376 | 2/9/2011,4.6 1377 | 2/10/2011,4.55 1378 | 2/11/2011,4.59 1379 | 2/14/2011,4.58 1380 | 2/15/2011,4.57 1381 | 2/16/2011,4.54 1382 | 2/17/2011,4.56 1383 | 2/18/2011,4.53 1384 | 2/21/2011,4.52 1385 | 2/22/2011,4.66 1386 | 2/23/2011,4.66 1387 | 2/24/2011,4.73 1388 | 2/25/2011,4.72 1389 | 2/28/2011,4.78 1390 | 3/1/2011,4.76 1391 | 3/2/2011,4.72 1392 | 3/3/2011,4.6 1393 | 3/4/2011,4.69 1394 | 3/7/2011,4.69 1395 | 3/8/2011,4.64 1396 | 3/9/2011,4.71 1397 | 3/10/2011,4.85 1398 | 3/11/2011,4.88 1399 | 3/14/2011,4.93 1400 | 3/15/2011,5.09 1401 | 3/16/2011,5.16 1402 | 3/17/2011,5.1 1403 | 3/18/2011,5.02 1404 | 3/21/2011,4.93 1405 | 3/22/2011,4.91 1406 | 3/23/2011,4.91 1407 | 3/24/2011,4.84 1408 | 3/25/2011,4.79 1409 | 3/28/2011,4.76 1410 | 3/29/2011,4.73 1411 | 3/30/2011,4.76 1412 | 3/31/2011,4.77 1413 | 4/1/2011,4.72 1414 | 4/4/2011,4.72 1415 | 4/5/2011,4.65 1416 | 4/6/2011,4.57 1417 | 4/7/2011,4.56 1418 | 4/8/2011,4.53 1419 | 4/11/2011,4.53 1420 | 4/12/2011,4.63 1421 | 4/13/2011,4.65 1422 | 4/14/2011,4.6 1423 | 4/15/2011,4.68 1424 | 4/18/2011,4.74 1425 | 4/19/2011,4.75 1426 | 4/20/2011,4.66 1427 | 4/21/2011,4.65 1428 | 4/25/2011,4.69 1429 | 4/26/2011,4.71 1430 | 4/27/2011,4.67 1431 | 4/28/2011,4.73 1432 | 4/29/2011,4.71 1433 | 4/30/2011,4.76 1434 | 5/2/2011,4.74 1435 | 5/3/2011,4.76 1436 | 5/4/2011,4.76 1437 | 5/5/2011,4.8 1438 | 5/6/2011,4.81 1439 | 5/9/2011,4.82 1440 | 5/10/2011,4.76 1441 | 5/11/2011,4.79 1442 | 5/12/2011,4.77 1443 | 5/13/2011,4.8 1444 | 5/16/2011,4.79 1445 | 5/17/2011,4.82 1446 | 5/18/2011,4.79 1447 | 5/19/2011,4.8 1448 | 5/20/2011,4.82 1449 | 5/23/2011,4.87 1450 | 5/24/2011,4.89 1451 | 5/25/2011,4.92 1452 | 5/26/2011,5.01 1453 | 5/27/2011,5.01 1454 | 5/30/2011,5.01 1455 | 5/31/2011,5.09 1456 | 6/1/2011,5.15 1457 | 6/2/2011,5.15 1458 | 6/3/2011,5.24 1459 | 6/6/2011,5.25 1460 | 6/7/2011,5.28 1461 | 6/8/2011,5.38 1462 | 6/9/2011,5.38 1463 | 6/10/2011,5.43 1464 | 6/13/2011,5.47 1465 | 6/14/2011,5.37 1466 | 6/15/2011,5.52 1467 | 6/16/2011,5.65 1468 | 6/17/2011,5.64 1469 | 6/20/2011,5.67 1470 | 6/21/2011,5.65 1471 | 6/22/2011,5.62 1472 | 6/23/2011,5.75 1473 | 6/24/2011,5.8 1474 | 6/27/2011,5.78 1475 | 6/28/2011,5.65 1476 | 6/29/2011,5.53 1477 | 6/30/2011,5.42 1478 | 7/1/2011,5.34 1479 | 7/4/2011,5.34 1480 | 7/5/2011,5.37 1481 | 7/6/2011,5.41 1482 | 7/7/2011,5.27 1483 | 7/8/2011,5.39 1484 | 7/11/2011,5.56 1485 | 7/12/2011,5.6 1486 | 7/13/2011,5.57 1487 | 7/14/2011,5.49 1488 | 7/15/2011,5.51 1489 | 7/18/2011,5.54 1490 | 7/19/2011,5.54 1491 | 7/20/2011,5.46 1492 | 7/21/2011,5.36 1493 | 7/22/2011,5.35 1494 | 7/25/2011,5.33 1495 | 7/26/2011,5.35 1496 | 7/27/2011,5.32 1497 | 7/28/2011,5.37 1498 | 7/29/2011,5.51 1499 | 7/31/2011,5.58 1500 | 8/1/2011,5.63 1501 | 8/2/2011,5.8 1502 | 8/3/2011,5.87 1503 | 8/4/2011,6.16 1504 | 8/5/2011,6.24 1505 | 8/8/2011,6.84 1506 | 8/9/2011,7.19 1507 | 8/10/2011,7.3 1508 | 8/11/2011,7.39 1509 | 8/12/2011,7.3 1510 | 8/15/2011,7.1 1511 | 8/16/2011,7.11 1512 | 8/17/2011,7.08 1513 | 8/18/2011,7.23 1514 | 8/19/2011,7.3 1515 | 8/22/2011,7.32 1516 | 8/23/2011,7.46 1517 | 8/24/2011,7.45 1518 | 8/25/2011,7.43 1519 | 8/26/2011,7.5 1520 | 8/29/2011,7.39 1521 | 8/30/2011,7.39 1522 | 8/31/2011,7.3 1523 | 9/1/2011,7.26 1524 | 9/2/2011,7.33 1525 | 9/5/2011,7.34 1526 | 9/6/2011,7.54 1527 | 9/7/2011,7.41 1528 | 9/8/2011,7.42 1529 | 9/9/2011,7.51 1530 | 9/12/2011,7.64 1531 | 9/13/2011,7.62 1532 | 9/14/2011,7.55 1533 | 9/15/2011,7.49 1534 | 9/16/2011,7.46 1535 | 9/19/2011,7.61 1536 | 9/20/2011,7.59 1537 | 9/21/2011,7.61 1538 | 9/22/2011,7.95 1539 | 9/23/2011,8.01 1540 | 9/26/2011,8 1541 | 9/27/2011,7.92 1542 | 9/28/2011,8.03 1543 | 9/29/2011,8.16 1544 | 9/30/2011,8.41 1545 | 10/3/2011,8.72 1546 | 10/4/2011,9.1 1547 | 10/5/2011,8.98 1548 | 10/6/2011,8.72 1549 | 10/7/2011,8.55 1550 | 10/10/2011,8.56 1551 | 10/11/2011,8.34 1552 | 10/12/2011,8.07 1553 | 10/13/2011,8.05 1554 | 10/14/2011,7.89 1555 | 10/17/2011,7.88 1556 | 10/18/2011,7.87 1557 | 10/19/2011,7.7 1558 | 10/20/2011,7.64 1559 | 10/21/2011,7.46 1560 | 10/24/2011,7.31 1561 | 10/25/2011,7.29 1562 | 10/26/2011,7.2 1563 | 10/27/2011,6.83 1564 | 10/28/2011,6.85 1565 | 10/31/2011,7.07 1566 | 11/1/2011,7.42 1567 | 11/2/2011,7.35 1568 | 11/3/2011,7.25 1569 | 11/4/2011,7.26 1570 | 11/7/2011,7.29 1571 | 11/8/2011,7.23 1572 | 11/9/2011,7.48 1573 | 11/10/2011,7.46 1574 | 11/11/2011,7.46 1575 | 11/14/2011,7.44 1576 | 11/15/2011,7.49 1577 | 11/16/2011,7.54 1578 | 11/17/2011,7.62 1579 | 11/18/2011,7.61 1580 | 11/21/2011,7.79 1581 | 11/22/2011,7.9 1582 | 11/23/2011,8.03 1583 | 11/24/2011,8.03 1584 | 11/25/2011,8 1585 | 11/28/2011,7.95 1586 | 11/29/2011,7.95 1587 | 11/30/2011,7.79 1588 | 12/1/2011,7.69 1589 | 12/2/2011,7.65 1590 | 12/5/2011,7.56 1591 | 12/6/2011,7.5 1592 | 12/7/2011,7.54 1593 | 12/8/2011,7.56 1594 | 12/9/2011,7.53 1595 | 12/12/2011,7.6 1596 | 12/13/2011,7.6 1597 | 12/14/2011,7.63 1598 | 12/15/2011,7.62 1599 | 12/16/2011,7.65 1600 | 12/19/2011,7.65 1601 | 12/20/2011,7.54 1602 | 12/21/2011,7.49 1603 | 12/22/2011,7.45 1604 | 12/23/2011,7.37 1605 | 12/27/2011,7.37 1606 | 12/28/2011,7.4 1607 | 12/29/2011,7.36 1608 | 12/30/2011,7.38 1609 | 12/31/2011,7.23 1610 | 1/3/2012,7.06 1611 | 1/4/2012,7 1612 | 1/5/2012,7 1613 | 1/6/2012,7 1614 | 1/9/2012,6.99 1615 | 1/10/2012,6.92 1616 | 1/11/2012,6.98 1617 | 1/12/2012,6.93 1618 | 1/13/2012,7.02 1619 | 1/16/2012,6.98 1620 | 1/17/2012,6.99 1621 | 1/18/2012,6.93 1622 | 1/19/2012,6.77 1623 | 1/20/2012,6.69 1624 | 1/23/2012,6.62 1625 | 1/24/2012,6.62 1626 | 1/25/2012,6.63 1627 | 1/26/2012,6.58 1628 | 1/27/2012,6.57 1629 | 1/30/2012,6.65 1630 | 1/31/2012,6.61 1631 | 2/1/2012,6.54 1632 | 2/2/2012,6.55 1633 | 2/3/2012,6.42 1634 | 2/6/2012,6.44 1635 | 2/7/2012,6.36 1636 | 2/8/2012,6.29 1637 | 2/9/2012,6.26 1638 | 2/10/2012,6.35 1639 | 2/13/2012,6.27 1640 | 2/14/2012,6.27 1641 | 2/15/2012,6.27 1642 | 2/16/2012,6.26 1643 | 2/17/2012,6.2 1644 | 2/20/2012,6.2 1645 | 2/21/2012,6.14 1646 | 2/22/2012,6.15 1647 | 2/23/2012,6.11 1648 | 2/24/2012,6.01 1649 | 2/27/2012,6.05 1650 | 2/28/2012,6.01 1651 | 2/29/2012,5.98 1652 | 3/1/2012,5.94 1653 | 3/2/2012,5.97 1654 | 3/5/2012,6.01 1655 | 3/6/2012,6.25 1656 | 3/7/2012,6.18 1657 | 3/8/2012,6.11 1658 | 3/9/2012,6.09 1659 | 3/12/2012,6.06 1660 | 3/13/2012,5.97 1661 | 3/14/2012,5.83 1662 | 3/15/2012,5.87 1663 | 3/16/2012,5.86 1664 | 3/19/2012,5.79 1665 | 3/20/2012,5.8 1666 | 3/21/2012,5.85 1667 | 3/22/2012,5.91 1668 | 3/23/2012,5.93 1669 | 3/26/2012,5.91 1670 | 3/27/2012,5.93 1671 | 3/28/2012,5.93 1672 | 3/29/2012,6.02 1673 | 3/30/2012,5.95 1674 | 3/31/2012,5.99 1675 | 4/2/2012,5.99 1676 | 4/3/2012,5.91 1677 | 4/4/2012,5.99 1678 | 4/5/2012,6.05 1679 | 4/9/2012,6.24 1680 | 4/10/2012,6.32 1681 | 4/11/2012,6.3 1682 | 4/12/2012,6.24 1683 | 4/13/2012,6.26 1684 | 4/16/2012,6.23 1685 | 4/17/2012,6.16 1686 | 4/18/2012,6.16 1687 | 4/19/2012,6.17 1688 | 4/20/2012,6.14 1689 | 4/23/2012,6.2 1690 | 4/24/2012,6.14 1691 | 4/25/2012,6.05 1692 | 4/26/2012,6.06 1693 | 4/27/2012,6.02 1694 | 4/30/2012,6.04 1695 | 5/1/2012,5.96 1696 | 5/2/2012,5.96 1697 | 5/3/2012,5.92 1698 | 5/4/2012,5.94 1699 | 5/7/2012,5.95 1700 | 5/8/2012,6 1701 | 5/9/2012,6.04 1702 | 5/10/2012,6 1703 | 5/11/2012,6.02 1704 | 5/14/2012,6.11 1705 | 5/15/2012,6.15 1706 | 5/16/2012,6.22 1707 | 5/17/2012,6.44 1708 | 5/18/2012,6.52 1709 | 5/21/2012,6.63 1710 | 5/22/2012,6.55 1711 | 5/23/2012,6.66 1712 | 5/24/2012,6.62 1713 | 5/25/2012,6.63 1714 | 5/28/2012,6.63 1715 | 5/29/2012,6.59 1716 | 5/30/2012,6.71 1717 | 5/31/2012,6.96 1718 | 6/1/2012,7.16 1719 | 6/4/2012,7.17 1720 | 6/5/2012,7.23 1721 | 6/6/2012,7.06 1722 | 6/7/2012,6.95 1723 | 6/8/2012,6.95 1724 | 6/11/2012,6.9 1725 | 6/12/2012,6.9 1726 | 6/13/2012,6.91 1727 | 6/14/2012,6.85 1728 | 6/15/2012,6.84 1729 | 6/18/2012,6.81 1730 | 6/19/2012,6.65 1731 | 6/20/2012,6.54 1732 | 6/21/2012,6.52 1733 | 6/22/2012,6.52 1734 | 6/25/2012,6.6 1735 | 6/26/2012,6.57 1736 | 6/27/2012,6.52 1737 | 6/28/2012,6.52 1738 | 6/29/2012,6.36 1739 | 6/30/2012,6.44 1740 | 7/2/2012,6.45 1741 | 7/3/2012,6.39 1742 | 7/4/2012,6.38 1743 | 7/5/2012,6.4 1744 | 7/6/2012,6.44 1745 | 7/9/2012,6.44 1746 | 7/10/2012,6.4 1747 | 7/11/2012,6.37 1748 | 7/12/2012,6.41 1749 | 7/13/2012,6.41 1750 | 7/16/2012,6.39 1751 | 7/17/2012,6.36 1752 | 7/18/2012,6.33 1753 | 7/19/2012,6.25 1754 | 7/20/2012,6.28 1755 | 7/23/2012,6.38 1756 | 7/24/2012,6.4 1757 | 7/25/2012,6.4 1758 | 7/26/2012,6.35 1759 | 7/27/2012,6.22 1760 | 7/30/2012,6.2 1761 | 7/31/2012,6.16 1762 | 8/1/2012,6.1 1763 | 8/2/2012,6.13 1764 | 8/3/2012,6.01 1765 | 8/6/2012,6 1766 | 8/7/2012,5.91 1767 | 8/8/2012,5.89 1768 | 8/9/2012,5.91 1769 | 8/10/2012,5.98 1770 | 8/13/2012,5.96 1771 | 8/14/2012,5.92 1772 | 8/15/2012,5.88 1773 | 8/16/2012,5.89 1774 | 8/17/2012,5.89 1775 | 8/20/2012,5.86 1776 | 8/21/2012,5.83 1777 | 8/22/2012,5.88 1778 | 8/23/2012,5.89 1779 | 8/24/2012,5.87 1780 | 8/27/2012,5.87 1781 | 8/28/2012,5.88 1782 | 8/29/2012,5.84 1783 | 8/30/2012,5.86 1784 | 8/31/2012,5.98 1785 | 9/3/2012,5.98 1786 | 9/4/2012,5.94 1787 | 9/5/2012,5.91 1788 | 9/6/2012,5.8 1789 | 9/7/2012,5.74 1790 | 9/10/2012,5.68 1791 | 9/11/2012,5.64 1792 | 9/12/2012,5.51 1793 | 9/13/2012,5.5 1794 | 9/14/2012,5.3 1795 | 9/17/2012,5.32 1796 | 9/18/2012,5.33 1797 | 9/19/2012,5.34 1798 | 9/20/2012,5.38 1799 | 9/21/2012,5.42 1800 | 9/24/2012,5.5 1801 | 9/25/2012,5.56 1802 | 9/26/2012,5.8 1803 | 9/27/2012,5.73 1804 | 9/28/2012,5.72 1805 | 9/30/2012,5.74 1806 | 10/1/2012,5.71 1807 | 10/2/2012,5.72 1808 | 10/3/2012,5.68 1809 | 10/4/2012,5.62 1810 | 10/5/2012,5.55 1811 | 10/8/2012,5.54 1812 | 10/9/2012,5.56 1813 | 10/10/2012,5.61 1814 | 10/11/2012,5.57 1815 | 10/12/2012,5.56 1816 | 10/15/2012,5.48 1817 | 10/16/2012,5.4 1818 | 10/17/2012,5.27 1819 | 10/18/2012,5.24 1820 | 10/19/2012,5.31 1821 | 10/22/2012,5.28 1822 | 10/23/2012,5.41 1823 | 10/24/2012,5.39 1824 | 10/25/2012,5.33 1825 | 10/26/2012,5.41 1826 | 10/29/2012,5.46 1827 | 10/31/2012,5.63 1828 | 11/1/2012,5.57 1829 | 11/2/2012,5.54 1830 | 11/5/2012,5.57 1831 | 11/6/2012,5.49 1832 | 11/7/2012,5.63 1833 | 11/8/2012,5.67 1834 | 11/9/2012,5.77 1835 | 11/12/2012,5.77 1836 | 11/13/2012,5.82 1837 | 11/14/2012,5.84 1838 | 11/15/2012,5.94 1839 | 11/16/2012,5.98 1840 | 11/19/2012,5.85 1841 | 11/20/2012,5.79 1842 | 11/21/2012,5.72 1843 | 11/22/2012,5.72 1844 | 11/23/2012,5.71 1845 | 11/26/2012,5.68 1846 | 11/27/2012,5.65 1847 | 11/28/2012,5.66 1848 | 11/29/2012,5.58 1849 | 11/30/2012,5.65 1850 | 12/3/2012,5.6 1851 | 12/4/2012,5.58 1852 | 12/5/2012,5.51 1853 | 12/6/2012,5.48 1854 | 12/7/2012,5.42 1855 | 12/10/2012,5.41 1856 | 12/11/2012,5.35 1857 | 12/12/2012,5.29 1858 | 12/13/2012,5.27 1859 | 12/14/2012,5.28 1860 | 12/17/2012,5.31 1861 | 12/18/2012,5.19 1862 | 12/19/2012,5.19 1863 | 12/20/2012,5.19 1864 | 12/21/2012,5.26 1865 | 12/24/2012,5.24 1866 | 12/26/2012,5.24 1867 | 12/27/2012,5.28 1868 | 12/28/2012,5.3 1869 | 12/31/2012,5.34 1870 | 1/2/2013,5.16 1871 | 1/3/2013,5.06 1872 | 1/4/2013,5.04 1873 | 1/7/2013,5.02 1874 | 1/8/2013,5.02 1875 | 1/9/2013,4.99 1876 | 1/10/2013,4.94 1877 | 1/11/2013,4.93 1878 | 1/14/2013,4.91 1879 | 1/15/2013,4.96 1880 | 1/16/2013,4.95 1881 | 1/17/2013,4.88 1882 | 1/18/2013,4.89 1883 | 1/21/2013,4.88 1884 | 1/22/2013,4.88 1885 | 1/23/2013,4.85 1886 | 1/24/2013,4.82 1887 | 1/25/2013,4.73 1888 | 1/28/2013,4.72 1889 | 1/29/2013,4.78 1890 | 1/30/2013,4.84 1891 | 1/31/2013,4.95 1892 | 2/1/2013,4.94 1893 | 2/4/2013,5.01 1894 | 2/5/2013,5.01 1895 | 2/6/2013,5.04 1896 | 2/7/2013,5.08 1897 | 2/8/2013,5.08 1898 | 2/11/2013,5.06 1899 | 2/12/2013,5.04 1900 | 2/13/2013,4.97 1901 | 2/14/2013,4.97 1902 | 2/15/2013,4.96 1903 | 2/18/2013,4.95 1904 | 2/19/2013,4.92 1905 | 2/20/2013,4.92 1906 | 2/21/2013,4.99 1907 | 2/22/2013,4.97 1908 | 2/25/2013,4.97 1909 | 2/26/2013,5.02 1910 | 2/27/2013,4.98 1911 | 2/28/2013,4.98 1912 | 3/1/2013,5 1913 | 3/4/2013,4.98 1914 | 3/5/2013,4.92 1915 | 3/6/2013,4.88 1916 | 3/7/2013,4.81 1917 | 3/8/2013,4.76 1918 | 3/11/2013,4.75 1919 | 3/12/2013,4.76 1920 | 3/13/2013,4.75 1921 | 3/14/2013,4.71 1922 | 3/15/2013,4.72 1923 | 3/18/2013,4.77 1924 | 3/19/2013,4.78 1925 | 3/20/2013,4.76 1926 | 3/21/2013,4.76 1927 | 3/22/2013,4.78 1928 | 3/25/2013,4.75 1929 | 3/26/2013,4.78 1930 | 3/27/2013,4.81 1931 | 3/28/2013,4.8 1932 | 3/31/2013,4.86 1933 | 4/1/2013,4.87 1934 | 4/2/2013,4.84 1935 | 4/3/2013,4.87 1936 | 4/4/2013,4.89 1937 | 4/5/2013,4.95 1938 | 4/8/2013,4.9 1939 | 4/9/2013,4.87 1940 | 4/10/2013,4.78 1941 | 4/11/2013,4.73 1942 | 4/12/2013,4.75 1943 | 4/15/2013,4.79 1944 | 4/16/2013,4.78 1945 | 4/17/2013,4.8 1946 | 4/18/2013,4.8 1947 | 4/19/2013,4.78 1948 | 4/22/2013,4.75 1949 | 4/23/2013,4.71 1950 | 4/24/2013,4.66 1951 | 4/25/2013,4.61 1952 | 4/26/2013,4.6 1953 | 4/29/2013,4.53 1954 | 4/30/2013,4.55 1955 | 5/1/2013,4.5 1956 | 5/2/2013,4.45 1957 | 5/3/2013,4.33 1958 | 5/6/2013,4.3 1959 | 5/7/2013,4.24 1960 | 5/8/2013,4.24 1961 | 5/9/2013,4.23 1962 | 5/10/2013,4.23 1963 | 5/13/2013,4.35 1964 | 5/14/2013,4.35 1965 | 5/15/2013,4.36 1966 | 5/16/2013,4.42 1967 | 5/17/2013,4.37 1968 | 5/20/2013,4.34 1969 | 5/21/2013,4.35 1970 | 5/22/2013,4.27 1971 | 5/23/2013,4.42 1972 | 5/24/2013,4.45 1973 | 5/27/2013,4.44 1974 | 5/28/2013,4.35 1975 | 5/29/2013,4.55 1976 | 5/30/2013,4.54 1977 | 5/31/2013,4.62 1978 | 6/3/2013,4.76 1979 | 6/4/2013,4.79 1980 | 6/5/2013,5.03 1981 | 6/6/2013,5.08 1982 | 6/7/2013,4.89 1983 | 6/10/2013,4.86 1984 | 6/11/2013,5.08 1985 | 6/12/2013,5.02 1986 | 6/13/2013,5.11 1987 | 6/14/2013,5.04 1988 | 6/17/2013,4.97 1989 | 6/18/2013,4.96 1990 | 6/19/2013,4.85 1991 | 6/20/2013,5.12 1992 | 6/21/2013,5.09 1993 | 6/24/2013,5.34 1994 | 6/25/2013,5.34 1995 | 6/26/2013,5.29 1996 | 6/27/2013,5.23 1997 | 6/28/2013,5.16 1998 | 6/30/2013,5.21 1999 | 7/1/2013,5.17 2000 | 7/2/2013,5.15 2001 | 7/3/2013,5.15 2002 | 7/4/2013,5.15 2003 | 7/5/2013,5.04 2004 | 7/8/2013,5.11 2005 | 7/9/2013,5.04 2006 | 7/10/2013,4.98 2007 | 7/11/2013,4.9 2008 | 7/12/2013,4.8 2009 | 7/15/2013,4.77 2010 | 7/16/2013,4.72 2011 | 7/17/2013,4.68 2012 | 7/18/2013,4.57 2013 | 7/19/2013,4.56 2014 | 7/22/2013,4.53 2015 | 7/23/2013,4.5 2016 | 7/24/2013,4.55 2017 | 7/25/2013,4.65 2018 | 7/26/2013,4.71 2019 | 7/29/2013,4.69 2020 | 7/30/2013,4.66 2021 | 7/31/2013,4.71 2022 | 8/1/2013,4.63 2023 | 8/2/2013,4.74 2024 | 8/5/2013,4.74 2025 | 8/6/2013,4.76 2026 | 8/7/2013,4.81 2027 | 8/8/2013,4.8 2028 | 8/9/2013,4.8 2029 | 8/12/2013,4.78 2030 | 8/13/2013,4.72 2031 | 8/14/2013,4.69 2032 | 8/15/2013,4.74 2033 | 8/16/2013,4.7 2034 | 8/19/2013,4.71 2035 | 8/20/2013,4.8 2036 | 8/21/2013,4.77 2037 | 8/22/2013,4.73 2038 | 8/23/2013,4.75 2039 | 8/26/2013,4.75 2040 | 8/27/2013,4.82 2041 | 8/28/2013,4.77 2042 | 8/29/2013,4.76 2043 | 9/2/2013,4.78 2044 | 9/3/2013,4.69 2045 | 9/4/2013,4.64 2046 | 9/5/2013,4.59 2047 | 9/6/2013,4.63 2048 | 9/9/2013,4.66 2049 | 9/10/2013,4.6 2050 | 9/11/2013,4.63 2051 | 9/12/2013,4.61 2052 | 9/13/2013,4.6 2053 | 9/16/2013,4.54 2054 | 9/17/2013,4.59 2055 | 9/18/2013,4.67 2056 | 9/19/2013,4.51 2057 | 9/20/2013,4.54 2058 | 9/23/2013,4.6 2059 | 9/24/2013,4.65 2060 | 9/25/2013,4.7 2061 | 9/26/2013,4.69 2062 | 9/27/2013,4.75 2063 | 9/30/2013,4.83 2064 | 10/1/2013,4.78 2065 | 10/2/2013,4.78 2066 | 10/3/2013,4.75 2067 | 10/4/2013,4.7 2068 | 10/7/2013,4.69 2069 | 10/8/2013,4.68 2070 | 10/9/2013,4.67 2071 | 10/10/2013,4.61 2072 | 10/11/2013,4.62 2073 | 10/14/2013,4.6 2074 | 10/15/2013,4.54 2075 | 10/16/2013,4.55 2076 | 10/17/2013,4.53 2077 | 10/18/2013,4.46 2078 | 10/21/2013,4.41 2079 | 10/22/2013,4.44 2080 | 10/23/2013,4.44 2081 | 10/24/2013,4.4 2082 | 10/25/2013,4.42 2083 | 10/28/2013,4.44 2084 | 10/29/2013,4.45 2085 | 10/30/2013,4.43 2086 | 10/31/2013,4.36 2087 | 11/1/2013,4.31 2088 | 11/4/2013,4.33 2089 | 11/5/2013,4.33 2090 | 11/6/2013,4.35 2091 | 11/7/2013,4.34 2092 | 11/8/2013,4.38 2093 | 11/11/2013,4.38 2094 | 11/12/2013,4.35 2095 | 11/13/2013,4.42 2096 | 11/14/2013,4.41 2097 | 11/15/2013,4.38 2098 | 11/18/2013,4.35 2099 | 11/19/2013,4.31 2100 | 11/20/2013,4.29 2101 | 11/21/2013,4.32 2102 | 11/22/2013,4.3 2103 | 11/25/2013,4.27 2104 | 11/26/2013,4.27 2105 | 11/27/2013,4.24 2106 | 11/28/2013,4.24 2107 | 11/29/2013,4.23 2108 | 11/30/2013,4.27 2109 | 12/2/2013,4.19 2110 | 12/3/2013,4.22 2111 | 12/4/2013,4.19 2112 | 12/5/2013,4.16 2113 | 12/6/2013,4.13 2114 | 12/9/2013,4.11 2115 | 12/10/2013,4.15 2116 | 12/11/2013,4.11 2117 | 12/12/2013,4.11 2118 | 12/13/2013,4.12 2119 | 12/16/2013,4.09 2120 | 12/17/2013,4.15 2121 | 12/18/2013,4.14 2122 | 12/19/2013,4.07 2123 | 12/20/2013,4.04 2124 | 12/23/2013,4 2125 | 12/24/2013,3.96 2126 | 12/26/2013,3.96 2127 | 12/27/2013,3.96 2128 | 12/30/2013,3.97 2129 | 12/31/2013,4 2130 | 1/2/2014,4 2131 | 1/3/2014,3.98 2132 | 1/6/2014,3.96 2133 | 1/7/2014,3.92 2134 | 1/8/2014,3.87 2135 | 1/9/2014,3.88 2136 | 1/10/2014,3.95 2137 | 1/13/2014,3.97 2138 | 1/14/2014,3.92 2139 | 1/15/2014,3.87 2140 | 1/16/2014,3.88 2141 | 1/17/2014,3.88 2142 | 1/20/2014,3.88 2143 | 1/21/2014,3.86 2144 | 1/22/2014,3.82 2145 | 1/23/2014,3.92 2146 | 1/24/2014,4.08 2147 | 1/27/2014,4.09 2148 | 1/28/2014,4.08 2149 | 1/29/2014,4.15 2150 | 1/30/2014,4.12 2151 | 1/31/2014,4.21 2152 | 2/3/2014,4.28 2153 | 2/4/2014,4.31 2154 | 2/5/2014,4.28 2155 | 2/6/2014,4.21 2156 | 2/7/2014,4.2 2157 | 2/10/2014,4.16 2158 | 2/11/2014,4.08 2159 | 2/12/2014,4.01 2160 | 2/13/2014,4.07 2161 | 2/14/2014,4.03 2162 | 2/17/2014,4.03 2163 | 2/18/2014,4.01 2164 | 2/19/2014,3.95 2165 | 2/20/2014,3.92 2166 | 2/21/2014,3.9 2167 | 2/24/2014,3.85 2168 | 2/25/2014,3.84 2169 | 2/26/2014,3.84 2170 | 2/27/2014,3.83 2171 | 2/28/2014,3.81 2172 | 3/3/2014,3.87 2173 | 3/4/2014,3.79 2174 | 3/5/2014,3.78 2175 | 3/6/2014,3.78 2176 | 3/7/2014,3.79 2177 | 3/10/2014,3.82 2178 | 3/11/2014,3.82 2179 | 3/12/2014,3.87 2180 | 3/13/2014,3.92 2181 | 3/14/2014,3.96 2182 | 3/17/2014,3.9 2183 | 3/18/2014,3.87 2184 | 3/19/2014,3.74 2185 | 3/20/2014,3.79 2186 | 3/21/2014,3.76 2187 | 3/24/2014,3.75 2188 | 3/25/2014,3.73 2189 | 3/26/2014,3.75 2190 | 3/27/2014,3.77 2191 | 3/28/2014,3.73 2192 | 3/31/2014,3.77 2193 | 4/1/2014,3.73 2194 | 4/2/2014,3.66 2195 | 4/3/2014,3.64 2196 | 4/4/2014,3.68 2197 | 4/7/2014,3.72 2198 | 4/8/2014,3.73 2199 | 4/9/2014,3.74 2200 | 4/10/2014,3.77 2201 | 4/11/2014,3.82 2202 | 4/14/2014,3.76 2203 | 4/15/2014,3.75 2204 | 4/16/2014,3.73 2205 | 4/17/2014,3.68 2206 | 4/21/2014,3.67 2207 | 4/22/2014,3.65 2208 | 4/23/2014,3.68 2209 | 4/24/2014,3.66 2210 | 4/25/2014,3.69 2211 | 4/28/2014,3.68 2212 | 4/29/2014,3.66 2213 | 4/30/2014,3.71 2214 | 5/1/2014,3.75 2215 | 5/2/2014,3.73 2216 | 5/5/2014,3.74 2217 | 5/6/2014,3.72 2218 | 5/7/2014,3.74 2219 | 5/8/2014,3.75 2220 | 5/9/2014,3.74 2221 | 5/12/2014,3.7 2222 | 5/13/2014,3.7 2223 | 5/14/2014,3.73 2224 | 5/15/2014,3.78 2225 | 5/16/2014,3.77 2226 | 5/19/2014,3.76 2227 | 5/20/2014,3.77 2228 | 5/21/2014,3.77 2229 | 5/22/2014,3.78 2230 | 5/23/2014,3.78 2231 | 5/26/2014,3.78 2232 | 5/27/2014,3.76 2233 | 5/28/2014,3.8 2234 | 5/29/2014,3.78 2235 | 5/30/2014,3.75 2236 | 5/31/2014,3.67 2237 | 6/2/2014,3.61 2238 | 6/3/2014,3.59 2239 | 6/4/2014,3.59 2240 | 6/5/2014,3.59 2241 | 6/6/2014,3.53 2242 | 6/9/2014,3.5 2243 | 6/10/2014,3.46 2244 | 6/11/2014,3.46 2245 | 6/12/2014,3.5 2246 | 6/13/2014,3.47 2247 | 6/16/2014,3.43 2248 | 6/17/2014,3.39 2249 | 6/18/2014,3.41 2250 | 6/19/2014,3.39 2251 | 6/20/2014,3.36 2252 | 6/23/2014,3.35 2253 | 6/24/2014,3.37 2254 | 6/25/2014,3.43 2255 | 6/26/2014,3.47 2256 | 6/27/2014,3.48 2257 | 6/30/2014,3.53 2258 | 7/1/2014,3.5 2259 | 7/2/2014,3.46 2260 | 7/3/2014,3.44 2261 | 7/4/2014,3.44 2262 | 7/7/2014,3.44 2263 | 7/8/2014,3.48 2264 | 7/9/2014,3.51 2265 | 7/10/2014,3.62 2266 | 7/11/2014,3.61 2267 | 7/14/2014,3.57 2268 | 7/15/2014,3.6 2269 | 7/16/2014,3.63 2270 | 7/17/2014,3.74 2271 | 7/18/2014,3.78 2272 | 7/21/2014,3.8 2273 | 7/22/2014,3.79 2274 | 7/23/2014,3.77 2275 | 7/24/2014,3.72 2276 | 7/25/2014,3.75 2277 | 7/28/2014,3.74 2278 | 7/29/2014,3.8 2279 | 7/30/2014,3.79 2280 | 7/31/2014,4.04 2281 | 8/1/2014,4.25 2282 | 8/4/2014,4.24 2283 | 8/5/2014,4.17 2284 | 8/6/2014,4.21 2285 | 8/7/2014,4.2 2286 | 8/8/2014,4.2 2287 | 8/11/2014,4.12 2288 | 8/12/2014,4.07 2289 | 8/13/2014,4.03 2290 | 8/14/2014,3.97 2291 | 8/15/2014,3.97 2292 | 8/18/2014,3.89 2293 | 8/19/2014,3.85 2294 | 8/20/2014,3.79 2295 | 8/21/2014,3.81 2296 | 8/22/2014,3.79 2297 | 8/25/2014,3.77 2298 | 8/26/2014,3.78 2299 | 8/27/2014,3.81 2300 | 8/28/2014,3.82 2301 | 8/29/2014,3.8 2302 | 8/31/2014,3.84 2303 | 9/1/2014,3.84 2304 | 9/2/2014,3.8 2305 | 9/3/2014,3.83 2306 | 9/4/2014,3.85 2307 | 9/5/2014,3.93 2308 | 9/8/2014,3.92 2309 | 9/9/2014,3.93 2310 | 9/10/2014,4.01 2311 | 9/11/2014,4.05 2312 | 9/12/2014,4.03 2313 | 9/15/2014,4.06 2314 | 9/16/2014,4.1 2315 | 9/17/2014,4.05 2316 | 9/18/2014,3.98 2317 | 9/19/2014,3.97 2318 | 9/22/2014,4.02 2319 | 9/23/2014,4.13 2320 | 9/24/2014,4.18 2321 | 9/25/2014,4.33 2322 | 9/26/2014,4.4 2323 | 9/29/2014,4.51 2324 | 9/30/2014,4.4 2325 | 10/1/2014,4.45 2326 | 10/2/2014,4.42 2327 | 10/3/2014,4.29 2328 | 10/6/2014,4.26 2329 | 10/7/2014,4.37 2330 | 10/8/2014,4.48 2331 | 10/9/2014,4.52 2332 | 10/10/2014,4.66 2333 | 10/13/2014,4.66 2334 | 10/14/2014,4.83 2335 | 10/15/2014,5.08 2336 | 10/16/2014,4.98 2337 | 10/17/2014,4.68 2338 | 10/20/2014,4.68 2339 | 10/21/2014,4.5 2340 | 10/22/2014,4.44 2341 | 10/23/2014,4.38 2342 | 10/24/2014,4.38 2343 | 10/27/2014,4.41 2344 | 10/28/2014,4.39 2345 | 10/29/2014,4.32 2346 | 10/30/2014,4.35 2347 | 10/31/2014,4.3 2348 | 11/3/2014,4.29 2349 | 11/4/2014,4.35 2350 | 11/5/2014,4.32 2351 | 11/6/2014,4.3 2352 | 11/7/2014,4.36 2353 | 11/10/2014,4.32 2354 | 11/11/2014,4.32 2355 | 11/12/2014,4.33 2356 | 11/13/2014,4.37 2357 | 11/14/2014,4.43 2358 | 11/17/2014,4.46 2359 | 11/18/2014,4.53 2360 | 11/19/2014,4.57 2361 | 11/20/2014,4.61 2362 | 11/21/2014,4.54 2363 | 11/24/2014,4.54 2364 | 11/25/2014,4.54 2365 | 11/26/2014,4.56 2366 | 11/27/2014,4.56 2367 | 11/28/2014,4.64 2368 | 11/30/2014,4.67 2369 | 12/1/2014,4.82 2370 | 12/2/2014,4.82 2371 | 12/3/2014,4.81 2372 | 12/4/2014,4.83 2373 | 12/5/2014,4.77 2374 | 12/8/2014,4.87 2375 | 12/9/2014,5.06 2376 | 12/10/2014,5.21 2377 | 12/11/2014,5.25 2378 | 12/12/2014,5.47 2379 | 12/15/2014,5.52 2380 | 12/16/2014,5.71 2381 | 12/17/2014,5.48 2382 | 12/18/2014,5.15 2383 | 12/19/2014,5.09 2384 | 12/22/2014,5.03 2385 | 12/23/2014,4.94 2386 | 12/24/2014,4.93 2387 | 12/26/2014,4.93 2388 | 12/29/2014,4.96 2389 | 12/30/2014,4.98 2390 | 12/31/2014,5.04 2391 | 1/2/2015,5.08 2392 | 1/5/2015,5.21 2393 | 1/6/2015,5.37 2394 | 1/7/2015,5.31 2395 | 1/8/2015,5.17 2396 | 1/9/2015,5.2 2397 | 1/12/2015,5.27 2398 | 1/13/2015,5.28 2399 | 1/14/2015,5.39 2400 | 1/15/2015,5.42 2401 | 1/19/2015,5.39 2402 | 1/20/2015,5.39 2403 | 1/21/2015,5.36 2404 | 1/22/2015,5.27 2405 | 1/23/2015,5.3 2406 | 1/26/2015,5.26 2407 | 1/27/2015,5.29 2408 | 1/28/2015,5.31 2409 | 1/29/2015,5.28 2410 | 1/30/2015,5.37 2411 | 1/31/2015,5.26 2412 | 2/2/2015,5.26 2413 | 2/3/2015,5.11 2414 | 2/4/2015,5.05 2415 | 2/5/2015,4.99 2416 | 2/6/2015,4.78 2417 | 2/9/2015,4.8 2418 | 2/10/2015,4.75 2419 | 2/11/2015,4.76 2420 | 2/12/2015,4.74 2421 | 2/13/2015,4.71 2422 | 2/16/2015,4.69 2423 | 2/17/2015,4.57 2424 | 2/18/2015,4.62 2425 | 2/19/2015,4.58 2426 | 2/20/2015,4.53 2427 | 2/23/2015,4.56 2428 | 2/24/2015,4.58 2429 | 2/25/2015,4.54 2430 | 2/26/2015,4.43 2431 | 2/27/2015,4.43 2432 | 2/28/2015,4.46 2433 | 3/2/2015,4.38 2434 | 3/3/2015,4.38 2435 | 3/4/2015,4.44 2436 | 3/5/2015,4.46 2437 | 3/6/2015,4.42 2438 | 3/9/2015,4.51 2439 | 3/10/2015,4.66 2440 | 3/11/2015,4.61 2441 | 3/12/2015,4.62 2442 | 3/13/2015,4.68 2443 | 3/16/2015,4.72 2444 | 3/17/2015,4.79 2445 | 3/18/2015,4.91 2446 | 3/19/2015,4.79 2447 | 3/20/2015,4.81 2448 | 3/23/2015,4.82 2449 | 3/24/2015,4.81 2450 | 3/25/2015,4.76 2451 | 3/26/2015,4.74 2452 | 3/27/2015,4.76 2453 | 3/30/2015,4.73 2454 | 3/31/2015,4.82 2455 | 4/1/2015,4.86 2456 | 4/2/2015,4.82 2457 | 4/6/2015,4.8 2458 | 4/7/2015,4.72 2459 | 4/8/2015,4.67 2460 | 4/9/2015,4.62 2461 | 4/10/2015,4.6 2462 | 4/13/2015,4.6 2463 | 4/14/2015,4.62 2464 | 4/15/2015,4.58 2465 | 4/16/2015,4.61 2466 | 4/17/2015,4.66 2467 | 4/20/2015,4.6 2468 | 4/21/2015,4.57 2469 | 4/22/2015,4.53 2470 | 4/23/2015,4.55 2471 | 4/24/2015,4.56 2472 | 4/27/2015,4.55 2473 | 4/28/2015,4.52 2474 | 4/29/2015,4.53 2475 | 4/30/2015,4.59 2476 | 5/1/2015,4.53 2477 | 5/4/2015,4.51 2478 | 5/5/2015,4.48 2479 | 5/6/2015,4.5 2480 | 5/7/2015,4.55 2481 | 5/8/2015,4.53 2482 | 5/11/2015,4.45 2483 | 5/12/2015,4.56 2484 | 5/13/2015,4.51 2485 | 5/14/2015,4.52 2486 | 5/15/2015,4.55 2487 | 5/18/2015,4.49 2488 | 5/19/2015,4.46 2489 | 5/20/2015,4.49 2490 | 5/21/2015,4.51 2491 | 5/22/2015,4.47 2492 | 5/26/2015,4.51 2493 | 5/27/2015,4.48 2494 | 5/28/2015,4.5 2495 | 5/29/2015,4.52 2496 | 5/31/2015,4.58 2497 | 6/1/2015,4.52 2498 | 6/2/2015,4.49 2499 | 6/3/2015,4.46 2500 | 6/4/2015,4.56 2501 | 6/5/2015,4.56 2502 | 6/8/2015,4.61 2503 | 6/9/2015,4.66 2504 | 6/10/2015,4.6 2505 | 6/11/2015,4.62 2506 | 6/12/2015,4.63 2507 | 6/15/2015,4.71 2508 | 6/16/2015,4.77 2509 | 6/17/2015,4.76 2510 | 6/18/2015,4.71 2511 | 6/19/2015,4.73 2512 | 6/22/2015,4.62 2513 | 6/23/2015,4.62 2514 | 6/24/2015,4.66 2515 | 6/25/2015,4.67 2516 | 6/26/2015,4.65 2517 | 6/29/2015,4.91 2518 | 6/30/2015,5 2519 | 7/1/2015,4.88 2520 | 7/2/2015,4.91 2521 | 7/3/2015,4.91 2522 | 7/6/2015,5.07 2523 | 7/7/2015,5.13 2524 | 7/8/2015,5.21 2525 | 7/9/2015,5.11 2526 | 7/10/2015,4.97 2527 | 7/13/2015,4.93 2528 | 7/14/2015,4.94 2529 | 7/15/2015,4.93 2530 | 7/16/2015,4.91 2531 | 7/17/2015,4.95 2532 | 7/20/2015,4.96 2533 | 7/21/2015,5.06 2534 | 7/22/2015,5.16 2535 | 7/23/2015,5.21 2536 | 7/24/2015,5.32 2537 | 7/27/2015,5.49 2538 | 7/28/2015,5.44 2539 | 7/29/2015,5.33 2540 | 7/30/2015,5.26 2541 | 7/31/2015,5.36 2542 | 8/3/2015,5.45 2543 | 8/4/2015,5.41 2544 | 8/5/2015,5.29 2545 | 8/6/2015,5.4 2546 | 8/7/2015,5.52 2547 | 8/10/2015,5.51 2548 | 8/11/2015,5.67 2549 | 8/12/2015,5.79 2550 | 8/13/2015,5.66 2551 | 8/14/2015,5.52 2552 | 8/17/2015,5.58 2553 | 8/18/2015,5.56 2554 | 8/19/2015,5.68 2555 | 8/20/2015,5.75 2556 | 8/21/2015,5.86 2557 | 8/24/2015,6.14 2558 | 8/25/2015,5.9 2559 | 8/26/2015,5.91 2560 | 8/27/2015,5.8 2561 | 8/28/2015,5.72 2562 | 8/31/2015,5.7 2563 | 9/1/2015,5.78 2564 | 9/2/2015,5.73 2565 | 9/3/2015,5.7 2566 | 9/4/2015,5.74 2567 | 9/7/2015,5.74 2568 | 9/8/2015,5.64 2569 | 9/9/2015,5.59 2570 | 9/10/2015,5.58 2571 | 9/11/2015,5.62 2572 | 9/14/2015,5.62 2573 | 9/15/2015,5.54 2574 | 9/16/2015,5.59 2575 | 9/17/2015,5.71 2576 | 9/18/2015,5.8 2577 | 9/21/2015,5.77 2578 | 9/22/2015,5.98 2579 | 9/23/2015,5.98 2580 | 9/24/2015,6.14 2581 | 9/25/2015,6.15 2582 | 9/28/2015,6.48 2583 | 9/29/2015,6.6 2584 | 9/30/2015,6.62 2585 | 10/1/2015,6.67 2586 | 10/2/2015,6.83 2587 | 10/5/2015,6.62 2588 | 10/6/2015,6.52 2589 | 10/7/2015,6.32 2590 | 10/8/2015,6.26 2591 | 10/9/2015,6.13 2592 | 10/12/2015,6.13 2593 | 10/13/2015,6.24 2594 | 10/14/2015,6.31 2595 | 10/15/2015,6.26 2596 | 10/16/2015,6.18 2597 | 10/19/2015,6.16 2598 | 10/20/2015,6.06 2599 | 10/21/2015,6.07 2600 | 10/22/2015,6.1 2601 | 10/23/2015,5.97 2602 | 10/26/2015,6 2603 | 10/27/2015,6.07 2604 | 10/28/2015,5.97 2605 | 10/29/2015,5.89 2606 | 10/30/2015,5.88 2607 | 10/31/2015,5.9 2608 | 11/2/2015,5.84 2609 | 11/3/2015,5.77 2610 | 11/4/2015,5.73 2611 | 11/5/2015,5.8 2612 | 11/6/2015,5.82 2613 | 11/9/2015,5.94 2614 | 11/10/2015,6.02 2615 | 11/11/2015,6.02 2616 | 11/12/2015,6.13 2617 | 11/13/2015,6.24 2618 | 11/16/2015,6.28 2619 | 11/17/2015,6.19 2620 | 11/18/2015,6.2 2621 | 11/19/2015,6.28 2622 | 11/20/2015,6.32 2623 | 11/23/2015,6.35 2624 | 11/24/2015,6.41 2625 | 11/25/2015,6.37 2626 | 11/26/2015,6.37 2627 | 11/27/2015,6.38 2628 | 11/30/2015,6.4 2629 | 12/1/2015,6.4 2630 | 12/2/2015,6.34 2631 | 12/3/2015,6.32 2632 | 12/4/2015,6.37 2633 | 12/7/2015,6.51 2634 | 12/8/2015,6.65 2635 | 12/9/2015,6.72 2636 | 12/10/2015,6.71 2637 | 12/11/2015,7.1 2638 | 12/14/2015,7.33 2639 | 12/15/2015,7.09 2640 | 12/16/2015,6.98 2641 | 12/17/2015,7.01 2642 | 12/18/2015,7.2 2643 | 12/21/2015,7.25 2644 | 12/22/2015,7.15 2645 | 12/23/2015,7.05 2646 | 12/24/2015,7.05 2647 | 12/28/2015,7.07 2648 | 12/29/2015,6.96 2649 | 12/30/2015,6.95 2650 | 12/31/2015,6.95 2651 | 1/4/2016,7.1 2652 | 1/5/2016,7.03 2653 | 1/6/2016,7.11 2654 | 1/7/2016,7.24 2655 | 1/8/2016,7.23 2656 | 1/11/2016,7.31 2657 | 1/12/2016,7.38 2658 | 1/13/2016,7.5 2659 | 1/14/2016,7.57 2660 | 1/15/2016,7.89 2661 | 1/18/2016,7.9 2662 | 1/19/2016,7.88 2663 | 1/20/2016,8.27 2664 | 1/21/2016,8.13 2665 | 1/22/2016,7.87 2666 | 1/25/2016,7.85 2667 | 1/26/2016,7.83 2668 | 1/27/2016,7.78 2669 | 1/28/2016,7.75 2670 | 1/29/2016,7.74 2671 | 1/31/2016,7.77 2672 | 2/1/2016,7.79 2673 | 2/2/2016,7.98 2674 | 2/3/2016,8.03 2675 | 2/4/2016,8.03 2676 | 2/5/2016,8.1 2677 | 2/8/2016,8.51 2678 | 2/9/2016,8.62 2679 | 2/10/2016,8.53 2680 | 2/11/2016,8.87 2681 | 2/12/2016,8.64 2682 | 2/15/2016,8.59 2683 | 2/16/2016,8.45 2684 | 2/17/2016,8.21 2685 | 2/18/2016,8.17 2686 | 2/19/2016,8.23 2687 | 2/22/2016,8.09 2688 | 2/23/2016,8.1 2689 | 2/24/2016,8.17 2690 | 2/25/2016,8.08 2691 | 2/26/2016,7.8 2692 | 2/29/2016,7.75 2693 | 3/1/2016,7.46 2694 | 3/2/2016,7.31 2695 | 3/3/2016,7.28 2696 | 3/4/2016,7.08 2697 | 3/7/2016,7.03 2698 | 3/8/2016,7.14 2699 | 3/9/2016,7.15 2700 | 3/10/2016,7.04 2701 | 3/11/2016,6.82 2702 | 3/14/2016,6.74 2703 | 3/15/2016,6.84 2704 | 3/16/2016,6.94 2705 | 3/17/2016,6.82 2706 | 3/18/2016,6.71 2707 | 3/21/2016,6.65 2708 | 3/22/2016,6.69 2709 | 3/23/2016,6.79 2710 | 3/24/2016,6.93 2711 | 3/28/2016,6.99 2712 | 3/29/2016,7.14 2713 | 3/30/2016,7.03 2714 | 3/31/2016,7.05 2715 | 4/1/2016,7.05 2716 | 4/4/2016,7.03 2717 | 4/5/2016,7.13 2718 | 4/6/2016,7.04 2719 | 4/7/2016,7.11 2720 | 4/8/2016,7.03 2721 | 4/11/2016,7 2722 | 4/12/2016,6.87 2723 | 4/13/2016,6.71 2724 | 4/14/2016,6.6 2725 | 4/15/2016,6.62 2726 | 4/18/2016,6.62 2727 | 4/19/2016,6.46 2728 | 4/20/2016,6.31 2729 | 4/21/2016,6.29 2730 | 4/22/2016,6.29 2731 | 4/25/2016,6.32 2732 | 4/26/2016,6.26 2733 | 4/27/2016,6.25 2734 | 4/28/2016,6.19 2735 | 4/29/2016,6.24 2736 | 4/30/2016,6.21 2737 | 5/2/2016,6.16 2738 | 5/3/2016,6.31 2739 | 5/4/2016,6.39 2740 | 5/5/2016,6.42 2741 | 5/6/2016,6.48 2742 | 5/9/2016,6.53 2743 | 5/10/2016,6.46 2744 | 5/11/2016,6.4 2745 | 5/12/2016,6.36 2746 | 5/13/2016,6.41 2747 | 5/16/2016,6.3 2748 | 5/17/2016,6.26 2749 | 5/18/2016,6.16 2750 | 5/19/2016,6.29 2751 | 5/20/2016,6.22 2752 | 5/23/2016,6.21 2753 | 5/24/2016,6.13 2754 | 5/25/2016,6.04 2755 | 5/26/2016,6.08 2756 | 5/27/2016,6.08 2757 | 5/30/2016,6.08 2758 | 5/31/2016,5.97 2759 | 6/1/2016,6.01 2760 | 6/2/2016,6 2761 | 6/3/2016,6.09 2762 | 6/6/2016,6 2763 | 6/7/2016,5.92 2764 | 6/8/2016,5.82 2765 | 6/9/2016,5.86 2766 | 6/10/2016,5.98 2767 | 6/13/2016,6.07 2768 | 6/14/2016,6.19 2769 | 6/15/2016,6.18 2770 | 6/16/2016,6.32 2771 | 6/17/2016,6.21 2772 | 6/20/2016,6 2773 | 6/21/2016,6 2774 | 6/22/2016,5.96 2775 | 6/23/2016,5.83 2776 | 6/24/2016,6.33 2777 | 6/27/2016,6.57 2778 | 6/28/2016,6.48 2779 | 6/29/2016,6.26 2780 | 6/30/2016,6.21 2781 | 7/1/2016,6.12 2782 | 7/4/2016,6.12 2783 | 7/5/2016,6.16 2784 | 7/6/2016,6.14 2785 | 7/7/2016,6.02 2786 | 7/8/2016,5.88 2787 | 7/11/2016,5.66 2788 | 7/12/2016,5.46 2789 | 7/13/2016,5.58 2790 | 7/14/2016,5.44 2791 | 7/15/2016,5.42 2792 | 7/18/2016,5.44 2793 | 7/19/2016,5.45 2794 | 7/20/2016,5.4 2795 | 7/21/2016,5.41 2796 | 7/22/2016,5.39 2797 | 7/25/2016,5.39 2798 | 7/26/2016,5.45 2799 | 7/27/2016,5.51 2800 | 7/28/2016,5.54 2801 | 7/29/2016,5.61 2802 | 7/31/2016,5.69 2803 | 8/1/2016,5.69 2804 | 8/2/2016,5.73 2805 | 8/3/2016,5.72 2806 | 8/4/2016,5.65 2807 | 8/5/2016,5.46 2808 | 8/8/2016,5.42 2809 | 8/9/2016,5.36 2810 | 8/10/2016,5.38 2811 | 8/11/2016,5.31 2812 | 8/12/2016,5.34 2813 | 8/15/2016,5.23 2814 | 8/16/2016,5.17 2815 | 8/17/2016,5.19 2816 | 8/18/2016,5.2 2817 | 8/19/2016,5.15 2818 | 8/22/2016,5.18 2819 | 8/23/2016,5.14 2820 | 8/24/2016,5.13 2821 | 8/25/2016,5.14 2822 | 8/26/2016,5.04 2823 | 8/29/2016,5.1 2824 | 8/30/2016,5.07 2825 | 8/31/2016,5.1 2826 | 9/1/2016,5.12 2827 | 9/2/2016,5.09 2828 | 9/5/2016,5.09 2829 | 9/6/2016,5.09 2830 | 9/7/2016,5.07 2831 | 9/8/2016,4.99 2832 | 9/9/2016,5.1 2833 | 9/12/2016,5.18 2834 | 9/13/2016,5.24 2835 | 9/14/2016,5.26 2836 | 9/15/2016,5.26 2837 | 9/16/2016,5.27 2838 | 9/19/2016,5.25 2839 | 9/20/2016,5.24 2840 | 9/21/2016,5.22 2841 | 9/22/2016,5.09 2842 | 9/23/2016,5.1 2843 | 9/26/2016,5.16 2844 | 9/27/2016,5.18 2845 | 9/28/2016,5.14 2846 | 9/29/2016,5.09 2847 | 9/30/2016,4.97 2848 | 10/3/2016,4.93 2849 | 10/4/2016,4.85 2850 | 10/5/2016,4.78 2851 | 10/6/2016,4.75 2852 | 10/7/2016,4.76 2853 | 10/10/2016,4.76 2854 | 10/11/2016,4.75 2855 | 10/12/2016,4.75 2856 | 10/13/2016,4.82 2857 | 10/14/2016,4.72 2858 | 10/17/2016,4.76 2859 | 10/18/2016,4.72 2860 | 10/19/2016,4.66 2861 | 10/20/2016,4.62 2862 | 10/21/2016,4.62 2863 | 10/24/2016,4.6 2864 | 10/25/2016,4.6 2865 | 10/26/2016,4.66 2866 | 10/27/2016,4.69 2867 | 10/28/2016,4.76 2868 | 10/31/2016,4.91 2869 | 11/1/2016,5.05 2870 | 11/2/2016,5.15 2871 | 11/3/2016,5.15 2872 | 11/4/2016,5.2 2873 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/macro data/EFFR.csv: -------------------------------------------------------------------------------- 1 | DATE,EFFR 2 | 2005-11-07,3.99 3 | 2005-11-08,3.95 4 | 2005-11-09,4.02 5 | 2005-11-10,3.98 6 | 2005-11-11,. 7 | 2005-11-14,4.03 8 | 2005-11-15,3.97 9 | 2005-11-16,3.96 10 | 2005-11-17,3.98 11 | 2005-11-18,4.00 12 | 2005-11-21,4.03 13 | 2005-11-22,3.99 14 | 2005-11-23,4.01 15 | 2005-11-24,. 16 | 2005-11-25,4.03 17 | 2005-11-28,4.01 18 | 2005-11-29,3.99 19 | 2005-11-30,4.03 20 | 2005-12-01,4.03 21 | 2005-12-02,4.00 22 | 2005-12-05,4.02 23 | 2005-12-06,3.97 24 | 2005-12-07,3.98 25 | 2005-12-08,4.09 26 | 2005-12-09,4.16 27 | 2005-12-12,4.24 28 | 2005-12-13,4.23 29 | 2005-12-14,4.26 30 | 2005-12-15,4.29 31 | 2005-12-16,4.25 32 | 2005-12-19,4.25 33 | 2005-12-20,4.30 34 | 2005-12-21,4.08 35 | 2005-12-22,4.25 36 | 2005-12-23,4.21 37 | 2005-12-26,. 38 | 2005-12-27,4.26 39 | 2005-12-28,4.19 40 | 2005-12-29,4.18 41 | 2005-12-30,4.09 42 | 2006-01-02,. 43 | 2006-01-03,4.34 44 | 2006-01-04,4.22 45 | 2006-01-05,4.24 46 | 2006-01-06,4.22 47 | 2006-01-09,4.25 48 | 2006-01-10,4.24 49 | 2006-01-11,4.24 50 | 2006-01-12,4.28 51 | 2006-01-13,4.30 52 | 2006-01-16,. 53 | 2006-01-17,4.32 54 | 2006-01-18,4.24 55 | 2006-01-19,4.23 56 | 2006-01-20,4.24 57 | 2006-01-23,4.26 58 | 2006-01-24,4.28 59 | 2006-01-25,4.36 60 | 2006-01-26,4.37 61 | 2006-01-27,4.42 62 | 2006-01-30,4.48 63 | 2006-01-31,4.47 64 | 2006-02-01,4.47 65 | 2006-02-02,4.48 66 | 2006-02-03,4.51 67 | 2006-02-06,4.51 68 | 2006-02-07,4.47 69 | 2006-02-08,4.48 70 | 2006-02-09,4.52 71 | 2006-02-10,4.51 72 | 2006-02-13,4.44 73 | 2006-02-14,4.45 74 | 2006-02-15,4.50 75 | 2006-02-16,4.48 76 | 2006-02-17,4.48 77 | 2006-02-20,. 78 | 2006-02-21,4.54 79 | 2006-02-22,4.49 80 | 2006-02-23,4.47 81 | 2006-02-24,4.48 82 | 2006-02-27,4.52 83 | 2006-02-28,4.52 84 | 2006-03-01,4.52 85 | 2006-03-02,4.50 86 | 2006-03-03,4.51 87 | 2006-03-06,4.51 88 | 2006-03-07,4.51 89 | 2006-03-08,4.51 90 | 2006-03-09,4.51 91 | 2006-03-10,4.51 92 | 2006-03-13,4.52 93 | 2006-03-14,4.51 94 | 2006-03-15,4.47 95 | 2006-03-16,4.55 96 | 2006-03-17,4.60 97 | 2006-03-20,4.55 98 | 2006-03-21,4.54 99 | 2006-03-22,4.58 100 | 2006-03-23,4.64 101 | 2006-03-24,4.69 102 | 2006-03-27,4.77 103 | 2006-03-28,4.70 104 | 2006-03-29,4.69 105 | 2006-03-30,4.76 106 | 2006-03-31,5.00 107 | 2006-04-03,4.87 108 | 2006-04-04,4.76 109 | 2006-04-05,4.76 110 | 2006-04-06,4.76 111 | 2006-04-07,4.76 112 | 2006-04-10,4.78 113 | 2006-04-11,4.74 114 | 2006-04-12,4.78 115 | 2006-04-13,4.82 116 | 2006-04-14,4.80 117 | 2006-04-17,4.78 118 | 2006-04-18,4.72 119 | 2006-04-19,4.70 120 | 2006-04-20,4.73 121 | 2006-04-21,4.74 122 | 2006-04-24,4.77 123 | 2006-04-25,4.74 124 | 2006-04-26,4.73 125 | 2006-04-27,4.79 126 | 2006-04-28,4.86 127 | 2006-05-01,4.84 128 | 2006-05-02,4.79 129 | 2006-05-03,4.81 130 | 2006-05-04,4.83 131 | 2006-05-05,4.83 132 | 2006-05-08,4.88 133 | 2006-05-09,4.78 134 | 2006-05-10,4.88 135 | 2006-05-11,4.99 136 | 2006-05-12,5.01 137 | 2006-05-15,5.01 138 | 2006-05-16,4.98 139 | 2006-05-17,4.96 140 | 2006-05-18,5.00 141 | 2006-05-19,5.00 142 | 2006-05-22,5.00 143 | 2006-05-23,4.94 144 | 2006-05-24,4.90 145 | 2006-05-25,5.01 146 | 2006-05-26,4.99 147 | 2006-05-29,. 148 | 2006-05-30,5.02 149 | 2006-05-31,5.05 150 | 2006-06-01,5.02 151 | 2006-06-02,4.97 152 | 2006-06-05,5.01 153 | 2006-06-06,4.99 154 | 2006-06-07,4.99 155 | 2006-06-08,5.02 156 | 2006-06-09,5.00 157 | 2006-06-12,5.01 158 | 2006-06-13,5.00 159 | 2006-06-14,5.00 160 | 2006-06-15,5.02 161 | 2006-06-16,4.94 162 | 2006-06-19,4.95 163 | 2006-06-20,4.92 164 | 2006-06-21,4.91 165 | 2006-06-22,4.98 166 | 2006-06-23,4.98 167 | 2006-06-26,5.03 168 | 2006-06-27,5.02 169 | 2006-06-28,5.06 170 | 2006-06-29,5.08 171 | 2006-06-30,5.05 172 | 2006-07-03,5.25 173 | 2006-07-04,. 174 | 2006-07-05,5.25 175 | 2006-07-06,5.24 176 | 2006-07-07,5.22 177 | 2006-07-10,5.24 178 | 2006-07-11,5.25 179 | 2006-07-12,5.27 180 | 2006-07-13,5.26 181 | 2006-07-14,5.26 182 | 2006-07-17,5.28 183 | 2006-07-18,5.22 184 | 2006-07-19,5.23 185 | 2006-07-20,5.24 186 | 2006-07-21,5.23 187 | 2006-07-24,5.24 188 | 2006-07-25,5.24 189 | 2006-07-26,5.24 190 | 2006-07-27,5.27 191 | 2006-07-28,5.26 192 | 2006-07-31,5.31 193 | 2006-08-01,5.27 194 | 2006-08-02,5.25 195 | 2006-08-03,5.27 196 | 2006-08-04,5.25 197 | 2006-08-07,5.24 198 | 2006-08-08,5.26 199 | 2006-08-09,5.25 200 | 2006-08-10,5.24 201 | 2006-08-11,5.24 202 | 2006-08-14,5.26 203 | 2006-08-15,5.24 204 | 2006-08-16,5.17 205 | 2006-08-17,5.20 206 | 2006-08-18,5.25 207 | 2006-08-21,5.24 208 | 2006-08-22,5.24 209 | 2006-08-23,5.25 210 | 2006-08-24,5.25 211 | 2006-08-25,5.25 212 | 2006-08-28,5.25 213 | 2006-08-29,5.23 214 | 2006-08-30,5.25 215 | 2006-08-31,5.31 216 | 2006-09-01,5.25 217 | 2006-09-04,. 218 | 2006-09-05,5.26 219 | 2006-09-06,5.21 220 | 2006-09-07,5.23 221 | 2006-09-08,5.23 222 | 2006-09-11,5.24 223 | 2006-09-12,5.21 224 | 2006-09-13,5.26 225 | 2006-09-14,5.26 226 | 2006-09-15,5.25 227 | 2006-09-18,5.23 228 | 2006-09-19,5.21 229 | 2006-09-20,5.23 230 | 2006-09-21,5.24 231 | 2006-09-22,5.27 232 | 2006-09-25,5.30 233 | 2006-09-26,5.25 234 | 2006-09-27,5.30 235 | 2006-09-28,5.28 236 | 2006-09-29,5.34 237 | 2006-10-02,5.33 238 | 2006-10-03,5.25 239 | 2006-10-04,5.23 240 | 2006-10-05,5.23 241 | 2006-10-06,5.22 242 | 2006-10-09,. 243 | 2006-10-10,5.28 244 | 2006-10-11,5.25 245 | 2006-10-12,5.25 246 | 2006-10-13,5.21 247 | 2006-10-16,5.28 248 | 2006-10-17,5.21 249 | 2006-10-18,5.23 250 | 2006-10-19,5.22 251 | 2006-10-20,5.25 252 | 2006-10-23,5.24 253 | 2006-10-24,5.24 254 | 2006-10-25,5.26 255 | 2006-10-26,5.23 256 | 2006-10-27,5.23 257 | 2006-10-30,5.27 258 | 2006-10-31,5.31 259 | 2006-11-01,5.23 260 | 2006-11-02,5.22 261 | 2006-11-03,5.25 262 | 2006-11-06,. 263 | 2006-11-07,5.22 264 | 2006-11-08,5.22 265 | 2006-11-09,5.23 266 | 2006-11-10,5.23 267 | 2006-11-13,5.27 268 | 2006-11-14,. 269 | 2006-11-15,5.29 270 | 2006-11-16,5.25 271 | 2006-11-17,5.20 272 | 2006-11-20,5.25 273 | 2006-11-21,5.29 274 | 2006-11-22,5.26 275 | 2006-11-23,. 276 | 2006-11-24,5.24 277 | 2006-11-27,5.32 278 | 2006-11-28,5.24 279 | 2006-11-29,5.26 280 | 2006-11-30,5.31 281 | 2006-12-01,5.27 282 | 2006-12-04,5.22 283 | 2006-12-05,5.21 284 | 2006-12-06,5.22 285 | 2006-12-07,5.25 286 | 2006-12-08,5.25 287 | 2006-12-11,5.25 288 | 2006-12-12,5.23 289 | 2006-12-13,5.23 290 | 2006-12-14,5.29 291 | 2006-12-15,5.27 292 | 2006-12-18,5.21 293 | 2006-12-19,5.21 294 | 2006-12-20,5.26 295 | 2006-12-21,5.25 296 | 2006-12-22,5.24 297 | 2006-12-25,. 298 | 2006-12-26,5.29 299 | 2006-12-27,5.17 300 | 2006-12-28,5.25 301 | 2006-12-29,5.17 302 | 2007-01-01,. 303 | 2007-01-02,5.30 304 | 2007-01-03,5.28 305 | 2007-01-04,5.24 306 | 2007-01-05,5.21 307 | 2007-01-08,5.23 308 | 2007-01-09,5.25 309 | 2007-01-10,5.26 310 | 2007-01-11,5.27 311 | 2007-01-12,5.22 312 | 2007-01-15,. 313 | 2007-01-16,5.28 314 | 2007-01-17,5.25 315 | 2007-01-18,5.23 316 | 2007-01-19,5.25 317 | 2007-01-22,5.24 318 | 2007-01-23,5.26 319 | 2007-01-24,5.27 320 | 2007-01-25,5.31 321 | 2007-01-26,5.26 322 | 2007-01-29,5.26 323 | 2007-01-30,5.23 324 | 2007-01-31,5.33 325 | 2007-02-01,5.29 326 | 2007-02-02,5.24 327 | 2007-02-05,5.25 328 | 2007-02-06,5.24 329 | 2007-02-07,5.23 330 | 2007-02-08,5.25 331 | 2007-02-09,5.25 332 | 2007-02-12,5.28 333 | 2007-02-13,5.26 334 | 2007-02-14,5.27 335 | 2007-02-15,5.29 336 | 2007-02-16,5.24 337 | 2007-02-19,. 338 | 2007-02-20,5.27 339 | 2007-02-21,5.23 340 | 2007-02-22,5.26 341 | 2007-02-23,5.24 342 | 2007-02-26,5.30 343 | 2007-02-27,5.27 344 | 2007-02-28,5.41 345 | 2007-03-01,5.31 346 | 2007-03-02,5.23 347 | 2007-03-05,5.27 348 | 2007-03-06,5.22 349 | 2007-03-07,5.24 350 | 2007-03-08,5.24 351 | 2007-03-09,5.24 352 | 2007-03-12,5.25 353 | 2007-03-13,5.25 354 | 2007-03-14,5.27 355 | 2007-03-15,5.29 356 | 2007-03-16,5.25 357 | 2007-03-19,5.26 358 | 2007-03-20,5.26 359 | 2007-03-21,5.26 360 | 2007-03-22,5.27 361 | 2007-03-23,5.24 362 | 2007-03-26,5.28 363 | 2007-03-27,5.25 364 | 2007-03-28,5.27 365 | 2007-03-29,5.29 366 | 2007-03-30,5.30 367 | 2007-04-02,5.25 368 | 2007-04-03,5.20 369 | 2007-04-04,5.21 370 | 2007-04-05,5.30 371 | 2007-04-06,5.30 372 | 2007-04-09,5.28 373 | 2007-04-10,5.26 374 | 2007-04-11,5.24 375 | 2007-04-12,5.27 376 | 2007-04-13,5.25 377 | 2007-04-16,5.29 378 | 2007-04-17,5.20 379 | 2007-04-18,5.19 380 | 2007-04-19,5.23 381 | 2007-04-20,5.25 382 | 2007-04-23,5.23 383 | 2007-04-24,5.20 384 | 2007-04-25,5.19 385 | 2007-04-26,5.24 386 | 2007-04-27,5.24 387 | 2007-04-30,5.29 388 | 2007-05-01,5.26 389 | 2007-05-02,5.21 390 | 2007-05-03,5.24 391 | 2007-05-04,5.24 392 | 2007-05-07,5.24 393 | 2007-05-08,5.21 394 | 2007-05-09,5.21 395 | 2007-05-10,5.25 396 | 2007-05-11,5.27 397 | 2007-05-14,5.26 398 | 2007-05-15,5.29 399 | 2007-05-16,5.25 400 | 2007-05-17,5.25 401 | 2007-05-18,5.24 402 | 2007-05-21,5.24 403 | 2007-05-22,5.23 404 | 2007-05-23,5.25 405 | 2007-05-24,5.24 406 | 2007-05-25,5.29 407 | 2007-05-28,. 408 | 2007-05-29,5.29 409 | 2007-05-30,5.25 410 | 2007-05-31,5.28 411 | 2007-06-01,5.23 412 | 2007-06-04,5.24 413 | 2007-06-05,5.19 414 | 2007-06-06,5.25 415 | 2007-06-07,5.25 416 | 2007-06-08,5.26 417 | 2007-06-11,5.27 418 | 2007-06-12,5.26 419 | 2007-06-13,5.26 420 | 2007-06-14,5.28 421 | 2007-06-15,5.26 422 | 2007-06-18,5.23 423 | 2007-06-19,5.21 424 | 2007-06-20,5.27 425 | 2007-06-21,5.26 426 | 2007-06-22,5.24 427 | 2007-06-25,5.29 428 | 2007-06-26,5.25 429 | 2007-06-27,5.26 430 | 2007-06-28,5.26 431 | 2007-06-29,5.31 432 | 2007-07-02,5.31 433 | 2007-07-03,5.24 434 | 2007-07-04,. 435 | 2007-07-05,5.25 436 | 2007-07-06,5.22 437 | 2007-07-09,5.22 438 | 2007-07-10,5.24 439 | 2007-07-11,5.24 440 | 2007-07-12,5.26 441 | 2007-07-13,5.25 442 | 2007-07-16,5.32 443 | 2007-07-17,5.28 444 | 2007-07-18,5.26 445 | 2007-07-19,5.25 446 | 2007-07-20,5.25 447 | 2007-07-23,5.26 448 | 2007-07-24,5.25 449 | 2007-07-25,5.32 450 | 2007-07-26,5.28 451 | 2007-07-27,5.25 452 | 2007-07-30,5.29 453 | 2007-07-31,5.28 454 | 2007-08-01,5.30 455 | 2007-08-02,5.24 456 | 2007-08-03,5.24 457 | 2007-08-06,5.26 458 | 2007-08-07,5.26 459 | 2007-08-08,5.27 460 | 2007-08-09,5.41 461 | 2007-08-10,4.68 462 | 2007-08-13,4.81 463 | 2007-08-14,4.54 464 | 2007-08-15,4.71 465 | 2007-08-16,4.97 466 | 2007-08-17,4.91 467 | 2007-08-20,5.03 468 | 2007-08-21,4.89 469 | 2007-08-22,4.77 470 | 2007-08-23,4.88 471 | 2007-08-24,5.11 472 | 2007-08-27,5.27 473 | 2007-08-28,5.30 474 | 2007-08-29,5.00 475 | 2007-08-30,5.00 476 | 2007-08-31,4.96 477 | 2007-09-03,. 478 | 2007-09-04,5.22 479 | 2007-09-05,5.18 480 | 2007-09-06,4.98 481 | 2007-09-07,4.86 482 | 2007-09-10,5.07 483 | 2007-09-11,5.06 484 | 2007-09-12,5.18 485 | 2007-09-13,5.09 486 | 2007-09-14,5.25 487 | 2007-09-17,5.33 488 | 2007-09-18,4.92 489 | 2007-09-19,4.74 490 | 2007-09-20,4.77 491 | 2007-09-21,4.76 492 | 2007-09-24,4.74 493 | 2007-09-25,4.82 494 | 2007-09-26,4.88 495 | 2007-09-27,4.93 496 | 2007-09-28,4.58 497 | 2007-10-01,4.92 498 | 2007-10-02,4.78 499 | 2007-10-03,4.68 500 | 2007-10-04,4.74 501 | 2007-10-05,4.77 502 | 2007-10-08,. 503 | 2007-10-09,4.91 504 | 2007-10-10,4.52 505 | 2007-10-11,4.75 506 | 2007-10-12,4.75 507 | 2007-10-15,4.81 508 | 2007-10-16,4.68 509 | 2007-10-17,4.70 510 | 2007-10-18,4.69 511 | 2007-10-19,4.77 512 | 2007-10-22,4.71 513 | 2007-10-23,4.67 514 | 2007-10-24,4.74 515 | 2007-10-25,4.86 516 | 2007-10-26,4.80 517 | 2007-10-29,4.84 518 | 2007-10-30,4.78 519 | 2007-10-31,4.60 520 | 2007-11-01,4.59 521 | 2007-11-02,4.28 522 | 2007-11-05,4.29 523 | 2007-11-06,4.22 524 | 2007-11-07,4.39 525 | 2007-11-08,4.58 526 | 2007-11-09,4.49 527 | 2007-11-12,. 528 | 2007-11-13,4.61 529 | 2007-11-14,4.60 530 | 2007-11-15,4.54 531 | 2007-11-16,4.51 532 | 2007-11-19,4.51 533 | 2007-11-20,4.51 534 | 2007-11-21,4.50 535 | 2007-11-22,. 536 | 2007-11-23,4.56 537 | 2007-11-26,4.62 538 | 2007-11-27,4.39 539 | 2007-11-28,4.53 540 | 2007-11-29,4.55 541 | 2007-11-30,4.66 542 | 2007-12-03,4.52 543 | 2007-12-04,4.50 544 | 2007-12-05,4.31 545 | 2007-12-06,4.49 546 | 2007-12-07,4.41 547 | 2007-12-10,4.46 548 | 2007-12-11,4.29 549 | 2007-12-12,4.28 550 | 2007-12-13,4.30 551 | 2007-12-14,4.24 552 | 2007-12-17,4.31 553 | 2007-12-18,4.16 554 | 2007-12-19,3.98 555 | 2007-12-20,4.37 556 | 2007-12-21,4.28 557 | 2007-12-24,4.00 558 | 2007-12-25,. 559 | 2007-12-26,4.26 560 | 2007-12-27,4.15 561 | 2007-12-28,4.01 562 | 2007-12-31,3.06 563 | 2008-01-01,. 564 | 2008-01-02,4.11 565 | 2008-01-03,4.25 566 | 2008-01-04,4.18 567 | 2008-01-07,4.27 568 | 2008-01-08,4.27 569 | 2008-01-09,4.26 570 | 2008-01-10,4.26 571 | 2008-01-11,4.23 572 | 2008-01-14,4.24 573 | 2008-01-15,4.24 574 | 2008-01-16,4.22 575 | 2008-01-17,4.23 576 | 2008-01-18,4.17 577 | 2008-01-21,. 578 | 2008-01-22,3.68 579 | 2008-01-23,3.43 580 | 2008-01-24,3.47 581 | 2008-01-25,3.60 582 | 2008-01-28,3.50 583 | 2008-01-29,3.47 584 | 2008-01-30,3.26 585 | 2008-01-31,3.22 586 | 2008-02-01,3.12 587 | 2008-02-04,2.82 588 | 2008-02-05,2.71 589 | 2008-02-06,2.94 590 | 2008-02-07,3.03 591 | 2008-02-08,3.05 592 | 2008-02-11,2.88 593 | 2008-02-12,2.91 594 | 2008-02-13,3.02 595 | 2008-02-14,3.03 596 | 2008-02-15,2.97 597 | 2008-02-18,. 598 | 2008-02-19,2.94 599 | 2008-02-20,3.00 600 | 2008-02-21,3.01 601 | 2008-02-22,2.97 602 | 2008-02-25,3.00 603 | 2008-02-26,2.85 604 | 2008-02-27,2.93 605 | 2008-02-28,3.06 606 | 2008-02-29,3.01 607 | 2008-03-03,3.10 608 | 2008-03-04,2.90 609 | 2008-03-05,2.93 610 | 2008-03-06,2.99 611 | 2008-03-07,2.96 612 | 2008-03-10,2.99 613 | 2008-03-11,2.95 614 | 2008-03-12,2.97 615 | 2008-03-13,2.98 616 | 2008-03-14,2.99 617 | 2008-03-17,2.69 618 | 2008-03-18,2.16 619 | 2008-03-19,2.08 620 | 2008-03-20,2.22 621 | 2008-03-21,2.08 622 | 2008-03-24,2.08 623 | 2008-03-25,2.42 624 | 2008-03-26,2.30 625 | 2008-03-27,2.27 626 | 2008-03-28,2.09 627 | 2008-03-31,2.51 628 | 2008-04-01,2.38 629 | 2008-04-02,2.18 630 | 2008-04-03,2.19 631 | 2008-04-04,2.26 632 | 2008-04-07,2.24 633 | 2008-04-08,2.23 634 | 2008-04-09,2.20 635 | 2008-04-10,2.30 636 | 2008-04-11,2.37 637 | 2008-04-14,2.32 638 | 2008-04-15,2.32 639 | 2008-04-16,2.35 640 | 2008-04-17,2.37 641 | 2008-04-18,2.32 642 | 2008-04-21,2.28 643 | 2008-04-22,1.99 644 | 2008-04-23,2.18 645 | 2008-04-24,2.26 646 | 2008-04-25,2.28 647 | 2008-04-28,2.29 648 | 2008-04-29,2.21 649 | 2008-04-30,2.37 650 | 2008-05-01,2.16 651 | 2008-05-02,1.88 652 | 2008-05-05,1.85 653 | 2008-05-06,1.91 654 | 2008-05-07,2.01 655 | 2008-05-08,1.99 656 | 2008-05-09,1.97 657 | 2008-05-12,1.88 658 | 2008-05-13,1.93 659 | 2008-05-14,2.03 660 | 2008-05-15,2.03 661 | 2008-05-16,1.91 662 | 2008-05-19,1.95 663 | 2008-05-20,1.99 664 | 2008-05-21,2.03 665 | 2008-05-22,2.05 666 | 2008-05-23,1.99 667 | 2008-05-26,. 668 | 2008-05-27,2.23 669 | 2008-05-28,2.08 670 | 2008-05-29,2.01 671 | 2008-05-30,1.98 672 | 2008-06-02,2.06 673 | 2008-06-03,1.95 674 | 2008-06-04,1.98 675 | 2008-06-05,1.98 676 | 2008-06-06,2.01 677 | 2008-06-09,2.02 678 | 2008-06-10,1.96 679 | 2008-06-11,1.95 680 | 2008-06-12,2.01 681 | 2008-06-13,2.02 682 | 2008-06-16,2.06 683 | 2008-06-17,1.87 684 | 2008-06-18,1.84 685 | 2008-06-19,1.94 686 | 2008-06-20,1.99 687 | 2008-06-23,1.98 688 | 2008-06-24,1.93 689 | 2008-06-25,1.97 690 | 2008-06-26,2.05 691 | 2008-06-27,1.99 692 | 2008-06-30,2.47 693 | 2008-07-01,2.11 694 | 2008-07-02,1.95 695 | 2008-07-03,1.92 696 | 2008-07-04,. 697 | 2008-07-07,1.99 698 | 2008-07-08,1.97 699 | 2008-07-09,1.99 700 | 2008-07-10,2.01 701 | 2008-07-11,1.97 702 | 2008-07-14,2.06 703 | 2008-07-15,2.16 704 | 2008-07-16,1.95 705 | 2008-07-17,2.03 706 | 2008-07-18,1.96 707 | 2008-07-21,1.98 708 | 2008-07-22,1.97 709 | 2008-07-23,2.04 710 | 2008-07-24,2.06 711 | 2008-07-25,2.13 712 | 2008-07-28,2.00 713 | 2008-07-29,2.05 714 | 2008-07-30,2.03 715 | 2008-07-31,2.09 716 | 2008-08-01,2.04 717 | 2008-08-04,1.97 718 | 2008-08-05,1.97 719 | 2008-08-06,2.01 720 | 2008-08-07,1.96 721 | 2008-08-08,2.01 722 | 2008-08-11,1.99 723 | 2008-08-12,1.95 724 | 2008-08-13,1.98 725 | 2008-08-14,2.09 726 | 2008-08-15,2.08 727 | 2008-08-18,1.91 728 | 2008-08-19,1.94 729 | 2008-08-20,1.98 730 | 2008-08-21,2.01 731 | 2008-08-22,2.02 732 | 2008-08-25,2.01 733 | 2008-08-26,1.88 734 | 2008-08-27,1.98 735 | 2008-08-28,1.99 736 | 2008-08-29,1.94 737 | 2008-09-01,. 738 | 2008-09-02,1.96 739 | 2008-09-03,2.01 740 | 2008-09-04,1.99 741 | 2008-09-05,1.97 742 | 2008-09-08,1.92 743 | 2008-09-09,1.96 744 | 2008-09-10,2.12 745 | 2008-09-11,2.00 746 | 2008-09-12,2.10 747 | 2008-09-15,2.64 748 | 2008-09-16,1.98 749 | 2008-09-17,2.80 750 | 2008-09-18,2.16 751 | 2008-09-19,1.48 752 | 2008-09-22,1.51 753 | 2008-09-23,1.46 754 | 2008-09-24,1.19 755 | 2008-09-25,1.23 756 | 2008-09-26,1.08 757 | 2008-09-29,1.56 758 | 2008-09-30,2.03 759 | 2008-10-01,1.15 760 | 2008-10-02,0.67 761 | 2008-10-03,1.10 762 | 2008-10-06,1.96 763 | 2008-10-07,2.97 764 | 2008-10-08,2.24 765 | 2008-10-09,1.40 766 | 2008-10-10,0.79 767 | 2008-10-13,. 768 | 2008-10-14,1.10 769 | 2008-10-15,1.04 770 | 2008-10-16,0.83 771 | 2008-10-17,0.60 772 | 2008-10-20,0.70 773 | 2008-10-21,0.67 774 | 2008-10-22,0.81 775 | 2008-10-23,0.93 776 | 2008-10-24,0.95 777 | 2008-10-27,0.92 778 | 2008-10-28,0.67 779 | 2008-10-29,0.36 780 | 2008-10-30,0.30 781 | 2008-10-31,0.22 782 | 2008-11-03,0.23 783 | 2008-11-04,0.23 784 | 2008-11-05,0.23 785 | 2008-11-06,0.23 786 | 2008-11-07,0.27 787 | 2008-11-10,0.29 788 | 2008-11-11,. 789 | 2008-11-12,0.35 790 | 2008-11-13,0.35 791 | 2008-11-14,0.34 792 | 2008-11-17,0.37 793 | 2008-11-18,0.38 794 | 2008-11-19,0.38 795 | 2008-11-20,0.49 796 | 2008-11-21,0.57 797 | 2008-11-24,0.62 798 | 2008-11-25,0.59 799 | 2008-11-26,0.53 800 | 2008-11-27,. 801 | 2008-11-28,0.52 802 | 2008-12-01,0.52 803 | 2008-12-02,0.47 804 | 2008-12-03,0.36 805 | 2008-12-04,0.20 806 | 2008-12-05,0.12 807 | 2008-12-08,0.12 808 | 2008-12-09,0.13 809 | 2008-12-10,0.11 810 | 2008-12-11,0.14 811 | 2008-12-12,0.15 812 | 2008-12-15,0.18 813 | 2008-12-16,0.17 814 | 2008-12-17,0.12 815 | 2008-12-18,0.11 816 | 2008-12-19,0.11 817 | 2008-12-22,0.11 818 | 2008-12-23,0.11 819 | 2008-12-24,0.11 820 | 2008-12-25,. 821 | 2008-12-26,0.09 822 | 2008-12-29,0.10 823 | 2008-12-30,0.09 824 | 2008-12-31,0.14 825 | 2009-01-01,. 826 | 2009-01-02,0.08 827 | 2009-01-05,0.11 828 | 2009-01-06,0.09 829 | 2009-01-07,0.11 830 | 2009-01-08,0.10 831 | 2009-01-09,0.09 832 | 2009-01-12,0.10 833 | 2009-01-13,0.10 834 | 2009-01-14,0.15 835 | 2009-01-15,0.18 836 | 2009-01-16,0.19 837 | 2009-01-19,. 838 | 2009-01-20,0.20 839 | 2009-01-21,0.23 840 | 2009-01-22,0.21 841 | 2009-01-23,0.18 842 | 2009-01-26,0.19 843 | 2009-01-27,0.18 844 | 2009-01-28,0.19 845 | 2009-01-29,0.23 846 | 2009-01-30,0.23 847 | 2009-02-02,0.24 848 | 2009-02-03,0.24 849 | 2009-02-04,0.24 850 | 2009-02-05,0.23 851 | 2009-02-06,0.23 852 | 2009-02-09,0.22 853 | 2009-02-10,0.24 854 | 2009-02-11,0.22 855 | 2009-02-12,0.23 856 | 2009-02-13,0.22 857 | 2009-02-16,. 858 | 2009-02-17,0.25 859 | 2009-02-18,0.23 860 | 2009-02-19,0.21 861 | 2009-02-20,0.20 862 | 2009-02-23,0.19 863 | 2009-02-24,0.21 864 | 2009-02-25,0.21 865 | 2009-02-26,0.22 866 | 2009-02-27,0.22 867 | 2009-03-02,0.22 868 | 2009-03-03,0.20 869 | 2009-03-04,0.21 870 | 2009-03-05,0.20 871 | 2009-03-06,0.20 872 | 2009-03-09,0.20 873 | 2009-03-10,0.20 874 | 2009-03-11,0.19 875 | 2009-03-12,0.18 876 | 2009-03-13,0.15 877 | 2009-03-16,0.20 878 | 2009-03-17,0.20 879 | 2009-03-18,0.18 880 | 2009-03-19,0.17 881 | 2009-03-20,0.18 882 | 2009-03-23,0.17 883 | 2009-03-24,0.17 884 | 2009-03-25,0.17 885 | 2009-03-26,0.16 886 | 2009-03-27,0.15 887 | 2009-03-30,0.16 888 | 2009-03-31,0.16 889 | 2009-04-01,0.16 890 | 2009-04-02,0.16 891 | 2009-04-03,0.13 892 | 2009-04-06,0.14 893 | 2009-04-07,0.14 894 | 2009-04-08,0.14 895 | 2009-04-09,0.14 896 | 2009-04-10,0.15 897 | 2009-04-13,0.13 898 | 2009-04-14,0.16 899 | 2009-04-15,0.16 900 | 2009-04-16,0.15 901 | 2009-04-17,0.13 902 | 2009-04-20,0.14 903 | 2009-04-21,0.15 904 | 2009-04-22,0.15 905 | 2009-04-23,0.17 906 | 2009-04-24,0.16 907 | 2009-04-27,0.17 908 | 2009-04-28,0.16 909 | 2009-04-29,0.18 910 | 2009-04-30,0.20 911 | 2009-05-01,0.22 912 | 2009-05-04,0.22 913 | 2009-05-05,0.20 914 | 2009-05-06,0.18 915 | 2009-05-07,0.18 916 | 2009-05-08,0.17 917 | 2009-05-11,0.17 918 | 2009-05-12,0.16 919 | 2009-05-13,0.16 920 | 2009-05-14,0.16 921 | 2009-05-15,0.17 922 | 2009-05-18,0.16 923 | 2009-05-19,0.15 924 | 2009-05-20,0.14 925 | 2009-05-21,0.17 926 | 2009-05-22,0.17 927 | 2009-05-25,. 928 | 2009-05-26,0.18 929 | 2009-05-27,0.17 930 | 2009-05-28,0.17 931 | 2009-05-29,0.19 932 | 2009-06-01,0.21 933 | 2009-06-02,0.20 934 | 2009-06-03,0.21 935 | 2009-06-04,0.20 936 | 2009-06-05,0.21 937 | 2009-06-08,0.21 938 | 2009-06-09,0.18 939 | 2009-06-10,0.18 940 | 2009-06-11,0.17 941 | 2009-06-12,0.17 942 | 2009-06-15,0.22 943 | 2009-06-16,0.22 944 | 2009-06-17,0.24 945 | 2009-06-18,0.25 946 | 2009-06-19,0.25 947 | 2009-06-22,0.24 948 | 2009-06-23,0.24 949 | 2009-06-24,0.21 950 | 2009-06-25,0.19 951 | 2009-06-26,0.18 952 | 2009-06-29,0.17 953 | 2009-06-30,0.22 954 | 2009-07-01,0.20 955 | 2009-07-02,0.17 956 | 2009-07-03,0.16 957 | 2009-07-06,0.18 958 | 2009-07-07,0.18 959 | 2009-07-08,0.16 960 | 2009-07-09,0.15 961 | 2009-07-10,0.15 962 | 2009-07-13,0.13 963 | 2009-07-14,0.13 964 | 2009-07-15,0.14 965 | 2009-07-16,0.15 966 | 2009-07-17,0.15 967 | 2009-07-20,0.15 968 | 2009-07-21,0.14 969 | 2009-07-22,0.14 970 | 2009-07-23,0.15 971 | 2009-07-24,0.15 972 | 2009-07-27,0.16 973 | 2009-07-28,0.15 974 | 2009-07-29,0.17 975 | 2009-07-30,0.17 976 | 2009-07-31,0.18 977 | 2009-08-03,0.18 978 | 2009-08-04,0.17 979 | 2009-08-05,0.17 980 | 2009-08-06,0.17 981 | 2009-08-07,0.17 982 | 2009-08-10,0.17 983 | 2009-08-11,0.16 984 | 2009-08-12,0.15 985 | 2009-08-13,0.15 986 | 2009-08-14,0.15 987 | 2009-08-17,0.17 988 | 2009-08-18,0.17 989 | 2009-08-19,0.17 990 | 2009-08-20,0.17 991 | 2009-08-21,0.16 992 | 2009-08-24,0.16 993 | 2009-08-25,0.15 994 | 2009-08-26,0.15 995 | 2009-08-27,0.14 996 | 2009-08-28,0.14 997 | 2009-08-31,0.15 998 | 2009-09-01,0.15 999 | 2009-09-02,0.16 1000 | 2009-09-03,0.15 1001 | 2009-09-04,0.15 1002 | 2009-09-07,. 1003 | 2009-09-08,0.15 1004 | 2009-09-09,0.15 1005 | 2009-09-10,0.16 1006 | 2009-09-11,0.15 1007 | 2009-09-14,0.16 1008 | 2009-09-15,0.17 1009 | 2009-09-16,0.17 1010 | 2009-09-17,0.16 1011 | 2009-09-18,0.16 1012 | 2009-09-21,0.15 1013 | 2009-09-22,0.15 1014 | 2009-09-23,0.15 1015 | 2009-09-24,0.14 1016 | 2009-09-25,0.13 1017 | 2009-09-28,0.13 1018 | 2009-09-29,0.11 1019 | 2009-09-30,0.07 1020 | 2009-10-01,0.11 1021 | 2009-10-02,0.13 1022 | 2009-10-05,0.13 1023 | 2009-10-06,0.12 1024 | 2009-10-07,0.13 1025 | 2009-10-08,0.12 1026 | 2009-10-09,0.12 1027 | 2009-10-12,. 1028 | 2009-10-13,0.12 1029 | 2009-10-14,0.12 1030 | 2009-10-15,0.13 1031 | 2009-10-16,0.12 1032 | 2009-10-19,0.12 1033 | 2009-10-20,0.12 1034 | 2009-10-21,0.11 1035 | 2009-10-22,0.11 1036 | 2009-10-23,0.11 1037 | 2009-10-26,0.11 1038 | 2009-10-27,0.11 1039 | 2009-10-28,0.11 1040 | 2009-10-29,0.11 1041 | 2009-10-30,0.11 1042 | 2009-11-02,0.12 1043 | 2009-11-03,0.12 1044 | 2009-11-04,0.13 1045 | 2009-11-05,0.13 1046 | 2009-11-06,0.12 1047 | 2009-11-09,0.12 1048 | 2009-11-10,0.13 1049 | 2009-11-11,. 1050 | 2009-11-12,0.12 1051 | 2009-11-13,0.12 1052 | 2009-11-16,0.12 1053 | 2009-11-17,0.12 1054 | 2009-11-18,0.11 1055 | 2009-11-19,0.11 1056 | 2009-11-20,0.11 1057 | 2009-11-23,0.12 1058 | 2009-11-24,0.12 1059 | 2009-11-25,0.11 1060 | 2009-11-26,. 1061 | 2009-11-27,0.12 1062 | 2009-11-30,0.13 1063 | 2009-12-01,0.13 1064 | 2009-12-02,0.13 1065 | 2009-12-03,0.13 1066 | 2009-12-04,0.12 1067 | 2009-12-07,0.12 1068 | 2009-12-08,0.12 1069 | 2009-12-09,0.12 1070 | 2009-12-10,0.12 1071 | 2009-12-11,0.12 1072 | 2009-12-14,0.12 1073 | 2009-12-15,0.13 1074 | 2009-12-16,0.14 1075 | 2009-12-17,0.13 1076 | 2009-12-18,0.12 1077 | 2009-12-21,0.12 1078 | 2009-12-22,0.12 1079 | 2009-12-23,0.11 1080 | 2009-12-24,0.11 1081 | 2009-12-25,. 1082 | 2009-12-28,0.12 1083 | 2009-12-29,0.12 1084 | 2009-12-30,0.11 1085 | 2009-12-31,0.05 1086 | 2010-01-01,. 1087 | 2010-01-04,0.12 1088 | 2010-01-05,0.12 1089 | 2010-01-06,0.12 1090 | 2010-01-07,0.10 1091 | 2010-01-08,0.11 1092 | 2010-01-11,0.11 1093 | 2010-01-12,0.11 1094 | 2010-01-13,0.11 1095 | 2010-01-14,0.11 1096 | 2010-01-15,0.12 1097 | 2010-01-18,. 1098 | 2010-01-19,0.13 1099 | 2010-01-20,0.13 1100 | 2010-01-21,0.12 1101 | 2010-01-22,0.11 1102 | 2010-01-25,0.12 1103 | 2010-01-26,0.12 1104 | 2010-01-27,0.12 1105 | 2010-01-28,0.12 1106 | 2010-01-29,0.12 1107 | 2010-02-01,0.14 1108 | 2010-02-02,0.14 1109 | 2010-02-03,0.13 1110 | 2010-02-04,0.14 1111 | 2010-02-05,0.13 1112 | 2010-02-08,0.13 1113 | 2010-02-09,0.13 1114 | 2010-02-10,0.12 1115 | 2010-02-11,0.12 1116 | 2010-02-12,0.12 1117 | 2010-02-15,. 1118 | 2010-02-16,0.13 1119 | 2010-02-17,0.12 1120 | 2010-02-18,0.12 1121 | 2010-02-19,0.13 1122 | 2010-02-22,0.12 1123 | 2010-02-23,0.12 1124 | 2010-02-24,0.11 1125 | 2010-02-25,0.12 1126 | 2010-02-26,0.13 1127 | 2010-03-01,0.14 1128 | 2010-03-02,0.14 1129 | 2010-03-03,0.15 1130 | 2010-03-04,0.16 1131 | 2010-03-05,0.17 1132 | 2010-03-08,0.15 1133 | 2010-03-09,0.14 1134 | 2010-03-10,0.14 1135 | 2010-03-11,0.15 1136 | 2010-03-12,0.17 1137 | 2010-03-15,0.20 1138 | 2010-03-16,0.20 1139 | 2010-03-17,0.18 1140 | 2010-03-18,0.18 1141 | 2010-03-19,0.18 1142 | 2010-03-22,0.18 1143 | 2010-03-23,0.17 1144 | 2010-03-24,0.17 1145 | 2010-03-25,0.17 1146 | 2010-03-26,0.17 1147 | 2010-03-29,0.16 1148 | 2010-03-30,0.16 1149 | 2010-03-31,0.09 1150 | 2010-04-01,0.17 1151 | 2010-04-02,0.20 1152 | 2010-04-05,0.20 1153 | 2010-04-06,0.20 1154 | 2010-04-07,0.19 1155 | 2010-04-08,0.19 1156 | 2010-04-09,0.19 1157 | 2010-04-12,0.19 1158 | 2010-04-13,0.20 1159 | 2010-04-14,0.20 1160 | 2010-04-15,0.22 1161 | 2010-04-16,0.21 1162 | 2010-04-19,0.20 1163 | 2010-04-20,0.20 1164 | 2010-04-21,0.20 1165 | 2010-04-22,0.20 1166 | 2010-04-23,0.20 1167 | 2010-04-26,0.20 1168 | 2010-04-27,0.20 1169 | 2010-04-28,0.20 1170 | 2010-04-29,0.19 1171 | 2010-04-30,0.20 1172 | 2010-05-03,0.20 1173 | 2010-05-04,0.21 1174 | 2010-05-05,0.21 1175 | 2010-05-06,0.20 1176 | 2010-05-07,0.20 1177 | 2010-05-10,0.20 1178 | 2010-05-11,0.20 1179 | 2010-05-12,0.20 1180 | 2010-05-13,0.20 1181 | 2010-05-14,0.20 1182 | 2010-05-17,0.21 1183 | 2010-05-18,0.21 1184 | 2010-05-19,0.20 1185 | 2010-05-20,0.20 1186 | 2010-05-21,0.20 1187 | 2010-05-24,0.21 1188 | 2010-05-25,0.21 1189 | 2010-05-26,0.20 1190 | 2010-05-27,0.20 1191 | 2010-05-28,0.19 1192 | 2010-05-31,. 1193 | 2010-06-01,0.20 1194 | 2010-06-02,0.20 1195 | 2010-06-03,0.19 1196 | 2010-06-04,0.19 1197 | 2010-06-07,0.19 1198 | 2010-06-08,0.19 1199 | 2010-06-09,0.18 1200 | 2010-06-10,0.18 1201 | 2010-06-11,0.18 1202 | 2010-06-14,0.18 1203 | 2010-06-15,0.19 1204 | 2010-06-16,0.19 1205 | 2010-06-17,0.19 1206 | 2010-06-18,0.18 1207 | 2010-06-21,0.17 1208 | 2010-06-22,0.18 1209 | 2010-06-23,0.17 1210 | 2010-06-24,0.16 1211 | 2010-06-25,0.16 1212 | 2010-06-28,0.17 1213 | 2010-06-29,0.15 1214 | 2010-06-30,0.09 1215 | 2010-07-01,0.17 1216 | 2010-07-02,0.18 1217 | 2010-07-05,. 1218 | 2010-07-06,0.18 1219 | 2010-07-07,0.18 1220 | 2010-07-08,0.17 1221 | 2010-07-09,0.18 1222 | 2010-07-12,0.17 1223 | 2010-07-13,0.17 1224 | 2010-07-14,0.17 1225 | 2010-07-15,0.19 1226 | 2010-07-16,0.19 1227 | 2010-07-19,0.19 1228 | 2010-07-20,0.18 1229 | 2010-07-21,0.18 1230 | 2010-07-22,0.18 1231 | 2010-07-23,0.19 1232 | 2010-07-26,0.19 1233 | 2010-07-27,0.19 1234 | 2010-07-28,0.20 1235 | 2010-07-29,0.19 1236 | 2010-07-30,0.18 1237 | 2010-08-02,0.19 1238 | 2010-08-03,0.19 1239 | 2010-08-04,0.19 1240 | 2010-08-05,0.19 1241 | 2010-08-06,0.18 1242 | 2010-08-09,0.18 1243 | 2010-08-10,0.18 1244 | 2010-08-11,0.17 1245 | 2010-08-12,0.18 1246 | 2010-08-13,0.19 1247 | 2010-08-16,0.20 1248 | 2010-08-17,0.20 1249 | 2010-08-18,0.19 1250 | 2010-08-19,0.19 1251 | 2010-08-20,0.20 1252 | 2010-08-23,0.19 1253 | 2010-08-24,0.19 1254 | 2010-08-25,0.19 1255 | 2010-08-26,0.19 1256 | 2010-08-27,0.19 1257 | 2010-08-30,0.19 1258 | 2010-08-31,0.21 1259 | 2010-09-01,0.19 1260 | 2010-09-02,0.19 1261 | 2010-09-03,0.19 1262 | 2010-09-06,. 1263 | 2010-09-07,0.20 1264 | 2010-09-08,0.19 1265 | 2010-09-09,0.18 1266 | 2010-09-10,0.18 1267 | 2010-09-13,0.18 1268 | 2010-09-14,0.19 1269 | 2010-09-15,0.21 1270 | 2010-09-16,0.21 1271 | 2010-09-17,0.21 1272 | 2010-09-20,0.21 1273 | 2010-09-21,0.20 1274 | 2010-09-22,0.21 1275 | 2010-09-23,0.20 1276 | 2010-09-24,0.21 1277 | 2010-09-27,0.19 1278 | 2010-09-28,0.19 1279 | 2010-09-29,0.19 1280 | 2010-09-30,0.15 1281 | 2010-10-01,0.20 1282 | 2010-10-04,0.20 1283 | 2010-10-05,0.20 1284 | 2010-10-06,0.19 1285 | 2010-10-07,0.18 1286 | 2010-10-08,0.18 1287 | 2010-10-11,. 1288 | 2010-10-12,0.18 1289 | 2010-10-13,0.18 1290 | 2010-10-14,0.19 1291 | 2010-10-15,0.20 1292 | 2010-10-18,0.19 1293 | 2010-10-19,0.19 1294 | 2010-10-20,0.19 1295 | 2010-10-21,0.19 1296 | 2010-10-22,0.19 1297 | 2010-10-25,0.19 1298 | 2010-10-26,0.19 1299 | 2010-10-27,0.19 1300 | 2010-10-28,0.19 1301 | 2010-10-29,0.20 1302 | 2010-11-01,0.20 1303 | 2010-11-02,0.20 1304 | 2010-11-03,0.20 1305 | 2010-11-04,0.19 1306 | 2010-11-05,0.18 1307 | 2010-11-08,0.18 1308 | 2010-11-09,0.17 1309 | 2010-11-10,0.17 1310 | 2010-11-11,. 1311 | 2010-11-12,0.19 1312 | 2010-11-15,0.21 1313 | 2010-11-16,0.21 1314 | 2010-11-17,0.20 1315 | 2010-11-18,0.20 1316 | 2010-11-19,0.21 1317 | 2010-11-22,0.19 1318 | 2010-11-23,0.20 1319 | 2010-11-24,0.20 1320 | 2010-11-25,. 1321 | 2010-11-26,0.20 1322 | 2010-11-29,0.20 1323 | 2010-11-30,0.20 1324 | 2010-12-01,0.20 1325 | 2010-12-02,0.19 1326 | 2010-12-03,0.18 1327 | 2010-12-06,0.18 1328 | 2010-12-07,0.17 1329 | 2010-12-08,0.17 1330 | 2010-12-09,0.16 1331 | 2010-12-10,0.16 1332 | 2010-12-13,0.17 1333 | 2010-12-14,0.19 1334 | 2010-12-15,0.20 1335 | 2010-12-16,0.20 1336 | 2010-12-17,0.20 1337 | 2010-12-20,0.21 1338 | 2010-12-21,0.20 1339 | 2010-12-22,0.19 1340 | 2010-12-23,0.19 1341 | 2010-12-24,0.19 1342 | 2010-12-27,0.19 1343 | 2010-12-28,0.18 1344 | 2010-12-29,0.18 1345 | 2010-12-30,0.19 1346 | 2010-12-31,0.13 1347 | 2011-01-03,0.19 1348 | 2011-01-04,0.18 1349 | 2011-01-05,0.18 1350 | 2011-01-06,0.17 1351 | 2011-01-07,0.17 1352 | 2011-01-10,0.17 1353 | 2011-01-11,0.17 1354 | 2011-01-12,0.16 1355 | 2011-01-13,0.16 1356 | 2011-01-14,0.16 1357 | 2011-01-17,. 1358 | 2011-01-18,0.19 1359 | 2011-01-19,0.18 1360 | 2011-01-20,0.18 1361 | 2011-01-21,0.17 1362 | 2011-01-24,0.18 1363 | 2011-01-25,0.17 1364 | 2011-01-26,0.17 1365 | 2011-01-27,0.17 1366 | 2011-01-28,0.17 1367 | 2011-01-31,0.17 1368 | 2011-02-01,0.18 1369 | 2011-02-02,0.18 1370 | 2011-02-03,0.17 1371 | 2011-02-04,0.17 1372 | 2011-02-07,0.17 1373 | 2011-02-08,0.16 1374 | 2011-02-09,0.15 1375 | 2011-02-10,0.15 1376 | 2011-02-11,0.15 1377 | 2011-02-14,0.15 1378 | 2011-02-15,0.16 1379 | 2011-02-16,0.15 1380 | 2011-02-17,0.15 1381 | 2011-02-18,0.15 1382 | 2011-02-21,. 1383 | 2011-02-22,0.15 1384 | 2011-02-23,0.15 1385 | 2011-02-24,0.15 1386 | 2011-02-25,0.15 1387 | 2011-02-28,0.16 1388 | 2011-03-01,0.15 1389 | 2011-03-02,0.16 1390 | 2011-03-03,0.15 1391 | 2011-03-04,0.15 1392 | 2011-03-07,0.14 1393 | 2011-03-08,0.14 1394 | 2011-03-09,0.14 1395 | 2011-03-10,0.14 1396 | 2011-03-11,0.13 1397 | 2011-03-14,0.14 1398 | 2011-03-15,0.14 1399 | 2011-03-16,0.14 1400 | 2011-03-17,0.14 1401 | 2011-03-18,0.15 1402 | 2011-03-21,0.14 1403 | 2011-03-22,0.14 1404 | 2011-03-23,0.14 1405 | 2011-03-24,0.13 1406 | 2011-03-25,0.13 1407 | 2011-03-28,0.13 1408 | 2011-03-29,0.13 1409 | 2011-03-30,0.13 1410 | 2011-03-31,0.10 1411 | 2011-04-01,0.11 1412 | 2011-04-04,0.09 1413 | 2011-04-05,0.09 1414 | 2011-04-06,0.10 1415 | 2011-04-07,0.10 1416 | 2011-04-08,0.09 1417 | 2011-04-11,0.09 1418 | 2011-04-12,0.08 1419 | 2011-04-13,0.08 1420 | 2011-04-14,0.09 1421 | 2011-04-15,0.12 1422 | 2011-04-18,0.10 1423 | 2011-04-19,. 1424 | 2011-04-20,0.10 1425 | 2011-04-21,0.10 1426 | 2011-04-22,0.10 1427 | 2011-04-25,0.10 1428 | 2011-04-26,0.09 1429 | 2011-04-27,0.09 1430 | 2011-04-28,0.09 1431 | 2011-04-29,0.09 1432 | 2011-05-02,0.09 1433 | 2011-05-03,0.09 1434 | 2011-05-04,0.09 1435 | 2011-05-05,0.09 1436 | 2011-05-06,0.09 1437 | 2011-05-09,0.09 1438 | 2011-05-10,0.09 1439 | 2011-05-11,0.09 1440 | 2011-05-12,0.09 1441 | 2011-05-13,0.09 1442 | 2011-05-16,0.10 1443 | 2011-05-17,0.09 1444 | 2011-05-18,0.10 1445 | 2011-05-19,0.09 1446 | 2011-05-20,0.10 1447 | 2011-05-23,0.10 1448 | 2011-05-24,0.10 1449 | 2011-05-25,0.09 1450 | 2011-05-26,0.09 1451 | 2011-05-27,0.10 1452 | 2011-05-30,. 1453 | 2011-05-31,0.10 1454 | 2011-06-01,0.10 1455 | 2011-06-02,0.10 1456 | 2011-06-03,0.11 1457 | 2011-06-06,0.10 1458 | 2011-06-07,0.09 1459 | 2011-06-08,0.09 1460 | 2011-06-09,0.09 1461 | 2011-06-10,0.09 1462 | 2011-06-13,0.10 1463 | 2011-06-14,0.10 1464 | 2011-06-15,0.10 1465 | 2011-06-16,0.10 1466 | 2011-06-17,0.10 1467 | 2011-06-20,0.09 1468 | 2011-06-21,0.09 1469 | 2011-06-22,0.09 1470 | 2011-06-23,0.08 1471 | 2011-06-24,0.08 1472 | 2011-06-27,0.08 1473 | 2011-06-28,0.08 1474 | 2011-06-29,0.07 1475 | 2011-06-30,0.07 1476 | 2011-07-01,0.08 1477 | 2011-07-04,. 1478 | 2011-07-05,0.08 1479 | 2011-07-06,0.07 1480 | 2011-07-07,0.07 1481 | 2011-07-08,0.07 1482 | 2011-07-11,0.07 1483 | 2011-07-12,0.06 1484 | 2011-07-13,0.06 1485 | 2011-07-14,0.06 1486 | 2011-07-15,0.06 1487 | 2011-07-18,0.06 1488 | 2011-07-19,0.06 1489 | 2011-07-20,0.06 1490 | 2011-07-21,0.06 1491 | 2011-07-22,0.06 1492 | 2011-07-25,0.06 1493 | 2011-07-26,0.06 1494 | 2011-07-27,0.07 1495 | 2011-07-28,0.08 1496 | 2011-07-29,0.11 1497 | 2011-08-01,0.17 1498 | 2011-08-02,0.16 1499 | 2011-08-03,0.12 1500 | 2011-08-04,0.09 1501 | 2011-08-05,0.08 1502 | 2011-08-08,0.11 1503 | 2011-08-09,0.10 1504 | 2011-08-10,0.10 1505 | 2011-08-11,0.09 1506 | 2011-08-12,0.10 1507 | 2011-08-15,0.10 1508 | 2011-08-16,0.09 1509 | 2011-08-17,0.09 1510 | 2011-08-18,0.09 1511 | 2011-08-19,0.09 1512 | 2011-08-22,0.09 1513 | 2011-08-23,0.08 1514 | 2011-08-24,0.08 1515 | 2011-08-25,0.08 1516 | 2011-08-26,0.09 1517 | 2011-08-29,0.09 1518 | 2011-08-30,0.08 1519 | 2011-08-31,0.08 1520 | 2011-09-01,0.08 1521 | 2011-09-02,0.08 1522 | 2011-09-05,. 1523 | 2011-09-06,0.09 1524 | 2011-09-07,0.09 1525 | 2011-09-08,0.09 1526 | 2011-09-09,0.09 1527 | 2011-09-12,0.09 1528 | 2011-09-13,0.09 1529 | 2011-09-14,0.08 1530 | 2011-09-15,0.09 1531 | 2011-09-16,0.09 1532 | 2011-09-19,0.09 1533 | 2011-09-20,0.09 1534 | 2011-09-21,0.08 1535 | 2011-09-22,0.08 1536 | 2011-09-23,0.08 1537 | 2011-09-26,0.08 1538 | 2011-09-27,0.08 1539 | 2011-09-28,0.08 1540 | 2011-09-29,0.08 1541 | 2011-09-30,0.06 1542 | 2011-10-03,0.08 1543 | 2011-10-04,0.07 1544 | 2011-10-05,0.07 1545 | 2011-10-06,0.07 1546 | 2011-10-07,0.07 1547 | 2011-10-10,. 1548 | 2011-10-11,0.07 1549 | 2011-10-12,0.07 1550 | 2011-10-13,0.07 1551 | 2011-10-14,0.07 1552 | 2011-10-17,0.07 1553 | 2011-10-18,0.07 1554 | 2011-10-19,0.07 1555 | 2011-10-20,0.07 1556 | 2011-10-21,0.07 1557 | 2011-10-24,0.07 1558 | 2011-10-25,0.07 1559 | 2011-10-26,0.08 1560 | 2011-10-27,0.07 1561 | 2011-10-28,0.07 1562 | 2011-10-31,0.09 1563 | 2011-11-01,0.08 1564 | 2011-11-02,0.08 1565 | 2011-11-03,0.09 1566 | 2011-11-04,0.08 1567 | 2011-11-07,0.08 1568 | 2011-11-08,0.08 1569 | 2011-11-09,0.08 1570 | 2011-11-10,0.08 1571 | 2011-11-11,. 1572 | 2011-11-14,0.08 1573 | 2011-11-15,0.09 1574 | 2011-11-16,0.08 1575 | 2011-11-17,0.08 1576 | 2011-11-18,0.08 1577 | 2011-11-21,0.08 1578 | 2011-11-22,0.08 1579 | 2011-11-23,0.09 1580 | 2011-11-24,. 1581 | 2011-11-25,0.07 1582 | 2011-11-28,0.08 1583 | 2011-11-29,0.08 1584 | 2011-11-30,0.10 1585 | 2011-12-01,0.08 1586 | 2011-12-02,0.08 1587 | 2011-12-05,0.08 1588 | 2011-12-06,0.08 1589 | 2011-12-07,0.08 1590 | 2011-12-08,0.07 1591 | 2011-12-09,0.07 1592 | 2011-12-12,0.07 1593 | 2011-12-13,0.07 1594 | 2011-12-14,0.07 1595 | 2011-12-15,0.07 1596 | 2011-12-16,0.07 1597 | 2011-12-19,0.07 1598 | 2011-12-20,0.07 1599 | 2011-12-21,0.07 1600 | 2011-12-22,0.07 1601 | 2011-12-23,0.08 1602 | 2011-12-26,. 1603 | 2011-12-27,0.07 1604 | 2011-12-28,0.07 1605 | 2011-12-29,0.07 1606 | 2011-12-30,0.04 1607 | 2012-01-02,. 1608 | 2012-01-03,0.07 1609 | 2012-01-04,0.07 1610 | 2012-01-05,0.07 1611 | 2012-01-06,0.07 1612 | 2012-01-09,0.08 1613 | 2012-01-10,0.08 1614 | 2012-01-11,0.08 1615 | 2012-01-12,0.08 1616 | 2012-01-13,0.09 1617 | 2012-01-16,. 1618 | 2012-01-17,0.09 1619 | 2012-01-18,0.09 1620 | 2012-01-19,0.10 1621 | 2012-01-20,0.09 1622 | 2012-01-23,0.09 1623 | 2012-01-24,0.09 1624 | 2012-01-25,0.08 1625 | 2012-01-26,0.08 1626 | 2012-01-27,0.09 1627 | 2012-01-30,0.09 1628 | 2012-01-31,0.11 1629 | 2012-02-01,0.11 1630 | 2012-02-02,0.11 1631 | 2012-02-03,0.11 1632 | 2012-02-06,0.11 1633 | 2012-02-07,0.11 1634 | 2012-02-08,0.11 1635 | 2012-02-09,0.11 1636 | 2012-02-10,0.12 1637 | 2012-02-13,0.12 1638 | 2012-02-14,0.12 1639 | 2012-02-15,0.12 1640 | 2012-02-16,0.11 1641 | 2012-02-17,0.09 1642 | 2012-02-20,. 1643 | 2012-02-21,0.10 1644 | 2012-02-22,0.08 1645 | 2012-02-23,0.08 1646 | 2012-02-24,0.09 1647 | 2012-02-27,0.10 1648 | 2012-02-28,0.10 1649 | 2012-02-29,0.10 1650 | 2012-03-01,0.11 1651 | 2012-03-02,0.11 1652 | 2012-03-05,0.11 1653 | 2012-03-06,0.11 1654 | 2012-03-07,0.11 1655 | 2012-03-08,0.11 1656 | 2012-03-09,0.12 1657 | 2012-03-12,0.12 1658 | 2012-03-13,0.12 1659 | 2012-03-14,0.13 1660 | 2012-03-15,0.14 1661 | 2012-03-16,0.15 1662 | 2012-03-19,0.15 1663 | 2012-03-20,0.15 1664 | 2012-03-21,0.15 1665 | 2012-03-22,0.14 1666 | 2012-03-23,0.14 1667 | 2012-03-26,0.14 1668 | 2012-03-27,0.14 1669 | 2012-03-28,0.13 1670 | 2012-03-29,0.13 1671 | 2012-03-30,0.09 1672 | 2012-04-02,0.15 1673 | 2012-04-03,0.15 1674 | 2012-04-04,0.15 1675 | 2012-04-05,0.15 1676 | 2012-04-06,0.12 1677 | 2012-04-09,0.16 1678 | 2012-04-10,0.15 1679 | 2012-04-11,0.16 1680 | 2012-04-12,0.15 1681 | 2012-04-13,0.15 1682 | 2012-04-16,0.15 1683 | 2012-04-17,0.16 1684 | 2012-04-18,0.15 1685 | 2012-04-19,0.13 1686 | 2012-04-20,0.12 1687 | 2012-04-23,0.13 1688 | 2012-04-24,0.14 1689 | 2012-04-25,0.15 1690 | 2012-04-26,0.14 1691 | 2012-04-27,0.13 1692 | 2012-04-30,0.16 1693 | 2012-05-01,0.16 1694 | 2012-05-02,0.15 1695 | 2012-05-03,0.15 1696 | 2012-05-04,0.16 1697 | 2012-05-07,0.16 1698 | 2012-05-08,0.16 1699 | 2012-05-09,0.15 1700 | 2012-05-10,0.15 1701 | 2012-05-11,0.15 1702 | 2012-05-14,0.16 1703 | 2012-05-15,0.16 1704 | 2012-05-16,0.16 1705 | 2012-05-17,0.16 1706 | 2012-05-18,0.16 1707 | 2012-05-21,0.16 1708 | 2012-05-22,0.16 1709 | 2012-05-23,0.15 1710 | 2012-05-24,0.15 1711 | 2012-05-25,0.15 1712 | 2012-05-28,. 1713 | 2012-05-29,0.16 1714 | 2012-05-30,0.16 1715 | 2012-05-31,0.16 1716 | 2012-06-01,0.16 1717 | 2012-06-04,0.17 1718 | 2012-06-05,0.17 1719 | 2012-06-06,0.16 1720 | 2012-06-07,0.16 1721 | 2012-06-08,0.17 1722 | 2012-06-11,0.17 1723 | 2012-06-12,0.16 1724 | 2012-06-13,0.17 1725 | 2012-06-14,0.17 1726 | 2012-06-15,0.18 1727 | 2012-06-18,0.17 1728 | 2012-06-19,0.17 1729 | 2012-06-20,0.16 1730 | 2012-06-21,0.17 1731 | 2012-06-22,0.17 1732 | 2012-06-25,0.17 1733 | 2012-06-26,0.16 1734 | 2012-06-27,0.15 1735 | 2012-06-28,0.15 1736 | 2012-06-29,0.09 1737 | 2012-07-02,0.18 1738 | 2012-07-03,0.17 1739 | 2012-07-04,. 1740 | 2012-07-05,0.17 1741 | 2012-07-06,0.17 1742 | 2012-07-09,0.17 1743 | 2012-07-10,0.17 1744 | 2012-07-11,0.17 1745 | 2012-07-12,0.18 1746 | 2012-07-13,0.19 1747 | 2012-07-16,0.18 1748 | 2012-07-17,0.17 1749 | 2012-07-18,0.16 1750 | 2012-07-19,0.13 1751 | 2012-07-20,0.13 1752 | 2012-07-23,0.14 1753 | 2012-07-24,0.15 1754 | 2012-07-25,0.15 1755 | 2012-07-26,0.14 1756 | 2012-07-27,0.14 1757 | 2012-07-30,0.14 1758 | 2012-07-31,0.13 1759 | 2012-08-01,0.14 1760 | 2012-08-02,0.14 1761 | 2012-08-03,0.14 1762 | 2012-08-06,0.14 1763 | 2012-08-07,0.13 1764 | 2012-08-08,0.13 1765 | 2012-08-09,0.13 1766 | 2012-08-10,0.13 1767 | 2012-08-13,0.13 1768 | 2012-08-14,0.13 1769 | 2012-08-15,0.13 1770 | 2012-08-16,0.13 1771 | 2012-08-17,0.13 1772 | 2012-08-20,0.13 1773 | 2012-08-21,0.13 1774 | 2012-08-22,0.13 1775 | 2012-08-23,0.13 1776 | 2012-08-24,0.13 1777 | 2012-08-27,0.13 1778 | 2012-08-28,0.13 1779 | 2012-08-29,0.13 1780 | 2012-08-30,0.14 1781 | 2012-08-31,0.13 1782 | 2012-09-03,. 1783 | 2012-09-04,0.14 1784 | 2012-09-05,0.16 1785 | 2012-09-06,0.16 1786 | 2012-09-07,0.15 1787 | 2012-09-10,0.15 1788 | 2012-09-11,0.15 1789 | 2012-09-12,0.15 1790 | 2012-09-13,0.15 1791 | 2012-09-14,0.16 1792 | 2012-09-17,0.16 1793 | 2012-09-18,0.16 1794 | 2012-09-19,0.15 1795 | 2012-09-20,0.16 1796 | 2012-09-21,0.15 1797 | 2012-09-24,0.16 1798 | 2012-09-25,0.15 1799 | 2012-09-26,0.15 1800 | 2012-09-27,0.14 1801 | 2012-09-28,0.09 1802 | 2012-10-01,0.15 1803 | 2012-10-02,0.16 1804 | 2012-10-03,0.16 1805 | 2012-10-04,0.15 1806 | 2012-10-05,0.15 1807 | 2012-10-08,. 1808 | 2012-10-09,0.16 1809 | 2012-10-10,0.16 1810 | 2012-10-11,0.16 1811 | 2012-10-12,0.16 1812 | 2012-10-15,0.16 1813 | 2012-10-16,0.16 1814 | 2012-10-17,0.15 1815 | 2012-10-18,0.15 1816 | 2012-10-19,0.16 1817 | 2012-10-22,0.15 1818 | 2012-10-23,0.15 1819 | 2012-10-24,0.17 1820 | 2012-10-25,0.16 1821 | 2012-10-26,0.16 1822 | 2012-10-29,0.17 1823 | 2012-10-30,0.17 1824 | 2012-10-31,0.18 1825 | 2012-11-01,0.17 1826 | 2012-11-02,0.16 1827 | 2012-11-05,0.17 1828 | 2012-11-06,0.16 1829 | 2012-11-07,0.16 1830 | 2012-11-08,0.16 1831 | 2012-11-09,0.16 1832 | 2012-11-12,. 1833 | 2012-11-13,0.16 1834 | 2012-11-14,0.16 1835 | 2012-11-15,0.16 1836 | 2012-11-16,0.16 1837 | 2012-11-19,0.16 1838 | 2012-11-20,0.16 1839 | 2012-11-21,0.16 1840 | 2012-11-22,. 1841 | 2012-11-23,0.16 1842 | 2012-11-26,0.16 1843 | 2012-11-27,0.16 1844 | 2012-11-28,0.16 1845 | 2012-11-29,0.16 1846 | 2012-11-30,0.16 1847 | 2012-12-03,0.16 1848 | 2012-12-04,0.17 1849 | 2012-12-05,0.16 1850 | 2012-12-06,0.16 1851 | 2012-12-07,0.16 1852 | 2012-12-10,0.16 1853 | 2012-12-11,0.17 1854 | 2012-12-12,0.17 1855 | 2012-12-13,0.16 1856 | 2012-12-14,0.17 1857 | 2012-12-17,0.16 1858 | 2012-12-18,0.17 1859 | 2012-12-19,0.17 1860 | 2012-12-20,0.17 1861 | 2012-12-21,0.17 1862 | 2012-12-24,0.18 1863 | 2012-12-25,. 1864 | 2012-12-26,0.17 1865 | 2012-12-27,0.17 1866 | 2012-12-28,0.17 1867 | 2012-12-31,0.09 1868 | 2013-01-01,. 1869 | 2013-01-02,0.17 1870 | 2013-01-03,0.17 1871 | 2013-01-04,0.16 1872 | 2013-01-07,0.16 1873 | 2013-01-08,0.15 1874 | 2013-01-09,0.14 1875 | 2013-01-10,0.14 1876 | 2013-01-11,0.14 1877 | 2013-01-14,0.14 1878 | 2013-01-15,0.15 1879 | 2013-01-16,0.14 1880 | 2013-01-17,0.14 1881 | 2013-01-18,0.14 1882 | 2013-01-21,. 1883 | 2013-01-22,0.14 1884 | 2013-01-23,0.13 1885 | 2013-01-24,0.15 1886 | 2013-01-25,0.14 1887 | 2013-01-28,0.14 1888 | 2013-01-29,0.12 1889 | 2013-01-30,0.12 1890 | 2013-01-31,0.15 1891 | 2013-02-01,0.14 1892 | 2013-02-04,0.13 1893 | 2013-02-05,0.13 1894 | 2013-02-06,0.13 1895 | 2013-02-07,0.13 1896 | 2013-02-08,0.14 1897 | 2013-02-11,0.14 1898 | 2013-02-12,0.13 1899 | 2013-02-13,0.14 1900 | 2013-02-14,0.14 1901 | 2013-02-15,0.16 1902 | 2013-02-18,. 1903 | 2013-02-19,0.15 1904 | 2013-02-20,0.15 1905 | 2013-02-21,0.16 1906 | 2013-02-22,0.16 1907 | 2013-02-25,0.15 1908 | 2013-02-26,0.14 1909 | 2013-02-27,0.14 1910 | 2013-02-28,0.14 1911 | 2013-03-01,0.14 1912 | 2013-03-04,0.16 1913 | 2013-03-05,0.15 1914 | 2013-03-06,0.15 1915 | 2013-03-07,0.16 1916 | 2013-03-08,0.15 1917 | 2013-03-11,0.16 1918 | 2013-03-12,0.15 1919 | 2013-03-13,0.14 1920 | 2013-03-14,0.15 1921 | 2013-03-15,0.16 1922 | 2013-03-18,0.16 1923 | 2013-03-19,0.15 1924 | 2013-03-20,0.15 1925 | 2013-03-21,0.16 1926 | 2013-03-22,0.15 1927 | 2013-03-25,0.15 1928 | 2013-03-26,0.14 1929 | 2013-03-27,0.12 1930 | 2013-03-28,0.13 1931 | 2013-03-29,0.09 1932 | 2013-04-01,0.16 1933 | 2013-04-02,0.15 1934 | 2013-04-03,0.14 1935 | 2013-04-04,0.14 1936 | 2013-04-05,0.15 1937 | 2013-04-08,0.15 1938 | 2013-04-09,0.15 1939 | 2013-04-10,0.15 1940 | 2013-04-11,0.15 1941 | 2013-04-12,0.15 1942 | 2013-04-15,0.15 1943 | 2013-04-16,0.15 1944 | 2013-04-17,0.15 1945 | 2013-04-18,0.15 1946 | 2013-04-19,0.15 1947 | 2013-04-22,0.15 1948 | 2013-04-23,0.14 1949 | 2013-04-24,0.13 1950 | 2013-04-25,0.13 1951 | 2013-04-26,0.13 1952 | 2013-04-29,0.13 1953 | 2013-04-30,0.14 1954 | 2013-05-01,0.14 1955 | 2013-05-02,0.15 1956 | 2013-05-03,0.14 1957 | 2013-05-06,0.14 1958 | 2013-05-07,0.12 1959 | 2013-05-08,0.12 1960 | 2013-05-09,0.12 1961 | 2013-05-10,0.12 1962 | 2013-05-13,0.12 1963 | 2013-05-14,0.11 1964 | 2013-05-15,0.12 1965 | 2013-05-16,0.11 1966 | 2013-05-17,0.10 1967 | 2013-05-20,0.10 1968 | 2013-05-21,0.09 1969 | 2013-05-22,0.08 1970 | 2013-05-23,0.08 1971 | 2013-05-24,0.09 1972 | 2013-05-27,. 1973 | 2013-05-28,0.09 1974 | 2013-05-29,0.08 1975 | 2013-05-30,0.08 1976 | 2013-05-31,0.09 1977 | 2013-06-03,0.10 1978 | 2013-06-04,0.11 1979 | 2013-06-05,0.09 1980 | 2013-06-06,0.10 1981 | 2013-06-07,0.09 1982 | 2013-06-10,0.09 1983 | 2013-06-11,0.09 1984 | 2013-06-12,0.08 1985 | 2013-06-13,0.09 1986 | 2013-06-14,0.10 1987 | 2013-06-17,0.11 1988 | 2013-06-18,0.12 1989 | 2013-06-19,0.10 1990 | 2013-06-20,0.10 1991 | 2013-06-21,0.10 1992 | 2013-06-24,0.10 1993 | 2013-06-25,0.09 1994 | 2013-06-26,0.09 1995 | 2013-06-27,0.09 1996 | 2013-06-28,0.07 1997 | 2013-07-01,0.10 1998 | 2013-07-02,0.10 1999 | 2013-07-03,0.10 2000 | 2013-07-04,. 2001 | 2013-07-05,0.10 2002 | 2013-07-08,0.10 2003 | 2013-07-09,0.10 2004 | 2013-07-10,0.09 2005 | 2013-07-11,0.09 2006 | 2013-07-12,0.09 2007 | 2013-07-15,0.09 2008 | 2013-07-16,0.09 2009 | 2013-07-17,0.09 2010 | 2013-07-18,0.09 2011 | 2013-07-19,0.09 2012 | 2013-07-22,0.09 2013 | 2013-07-23,0.09 2014 | 2013-07-24,0.09 2015 | 2013-07-25,0.09 2016 | 2013-07-26,0.09 2017 | 2013-07-29,0.08 2018 | 2013-07-30,0.09 2019 | 2013-07-31,0.09 2020 | 2013-08-01,0.08 2021 | 2013-08-02,0.09 2022 | 2013-08-05,0.08 2023 | 2013-08-06,0.09 2024 | 2013-08-07,0.09 2025 | 2013-08-08,0.09 2026 | 2013-08-09,0.08 2027 | 2013-08-12,0.08 2028 | 2013-08-13,0.08 2029 | 2013-08-14,0.09 2030 | 2013-08-15,0.08 2031 | 2013-08-16,0.09 2032 | 2013-08-19,0.09 2033 | 2013-08-20,0.09 2034 | 2013-08-21,0.08 2035 | 2013-08-22,0.09 2036 | 2013-08-23,0.08 2037 | 2013-08-26,0.08 2038 | 2013-08-27,0.07 2039 | 2013-08-28,0.07 2040 | 2013-08-29,0.08 2041 | 2013-08-30,0.07 2042 | 2013-09-02,. 2043 | 2013-09-03,0.09 2044 | 2013-09-04,0.08 2045 | 2013-09-05,0.08 2046 | 2013-09-06,0.08 2047 | 2013-09-09,0.08 2048 | 2013-09-10,0.08 2049 | 2013-09-11,0.08 2050 | 2013-09-12,0.08 2051 | 2013-09-13,0.08 2052 | 2013-09-16,0.08 2053 | 2013-09-17,0.08 2054 | 2013-09-18,0.08 2055 | 2013-09-19,0.09 2056 | 2013-09-20,0.08 2057 | 2013-09-23,0.09 2058 | 2013-09-24,0.09 2059 | 2013-09-25,0.08 2060 | 2013-09-26,0.08 2061 | 2013-09-27,0.08 2062 | 2013-09-30,0.06 2063 | 2013-10-01,0.08 2064 | 2013-10-02,0.07 2065 | 2013-10-03,0.08 2066 | 2013-10-04,0.08 2067 | 2013-10-07,0.08 2068 | 2013-10-08,0.08 2069 | 2013-10-09,0.09 2070 | 2013-10-10,0.09 2071 | 2013-10-11,0.10 2072 | 2013-10-14,. 2073 | 2013-10-15,0.10 2074 | 2013-10-16,0.11 2075 | 2013-10-17,0.10 2076 | 2013-10-18,0.10 2077 | 2013-10-21,0.09 2078 | 2013-10-22,0.08 2079 | 2013-10-23,0.08 2080 | 2013-10-24,0.08 2081 | 2013-10-25,0.08 2082 | 2013-10-28,0.08 2083 | 2013-10-29,0.08 2084 | 2013-10-30,0.08 2085 | 2013-10-31,0.07 2086 | 2013-11-01,0.08 2087 | 2013-11-04,0.08 2088 | 2013-11-05,0.08 2089 | 2013-11-06,0.08 2090 | 2013-11-07,0.08 2091 | 2013-11-08,0.08 2092 | 2013-11-11,. 2093 | 2013-11-12,0.08 2094 | 2013-11-13,0.08 2095 | 2013-11-14,0.09 2096 | 2013-11-15,0.09 2097 | 2013-11-18,0.09 2098 | 2013-11-19,0.09 2099 | 2013-11-20,0.09 2100 | 2013-11-21,0.09 2101 | 2013-11-22,0.09 2102 | 2013-11-25,0.09 2103 | 2013-11-26,0.09 2104 | 2013-11-27,0.09 2105 | 2013-11-28,. 2106 | 2013-11-29,0.07 2107 | 2013-12-02,0.09 2108 | 2013-12-03,0.09 2109 | 2013-12-04,0.09 2110 | 2013-12-05,0.09 2111 | 2013-12-06,0.09 2112 | 2013-12-09,0.09 2113 | 2013-12-10,0.09 2114 | 2013-12-11,0.08 2115 | 2013-12-12,0.09 2116 | 2013-12-13,0.08 2117 | 2013-12-16,0.09 2118 | 2013-12-17,0.09 2119 | 2013-12-18,0.09 2120 | 2013-12-19,0.09 2121 | 2013-12-20,0.09 2122 | 2013-12-23,0.09 2123 | 2013-12-24,0.08 2124 | 2013-12-25,. 2125 | 2013-12-26,0.08 2126 | 2013-12-27,0.08 2127 | 2013-12-30,0.08 2128 | 2013-12-31,0.07 2129 | 2014-01-01,. 2130 | 2014-01-02,0.08 2131 | 2014-01-03,0.08 2132 | 2014-01-06,0.08 2133 | 2014-01-07,0.07 2134 | 2014-01-08,0.07 2135 | 2014-01-09,0.07 2136 | 2014-01-10,0.07 2137 | 2014-01-13,0.07 2138 | 2014-01-14,0.07 2139 | 2014-01-15,0.07 2140 | 2014-01-16,0.07 2141 | 2014-01-17,0.07 2142 | 2014-01-20,. 2143 | 2014-01-21,0.07 2144 | 2014-01-22,0.07 2145 | 2014-01-23,0.07 2146 | 2014-01-24,0.07 2147 | 2014-01-27,0.07 2148 | 2014-01-28,0.07 2149 | 2014-01-29,0.07 2150 | 2014-01-30,0.07 2151 | 2014-01-31,0.07 2152 | 2014-02-03,0.07 2153 | 2014-02-04,0.07 2154 | 2014-02-05,0.07 2155 | 2014-02-06,0.07 2156 | 2014-02-07,0.06 2157 | 2014-02-10,0.07 2158 | 2014-02-11,0.06 2159 | 2014-02-12,0.07 2160 | 2014-02-13,0.06 2161 | 2014-02-14,0.06 2162 | 2014-02-17,. 2163 | 2014-02-18,0.07 2164 | 2014-02-19,0.07 2165 | 2014-02-20,0.07 2166 | 2014-02-21,0.07 2167 | 2014-02-24,0.07 2168 | 2014-02-25,0.07 2169 | 2014-02-26,0.07 2170 | 2014-02-27,0.07 2171 | 2014-02-28,0.06 2172 | 2014-03-03,0.07 2173 | 2014-03-04,0.07 2174 | 2014-03-05,0.08 2175 | 2014-03-06,0.08 2176 | 2014-03-07,0.08 2177 | 2014-03-10,0.08 2178 | 2014-03-11,0.08 2179 | 2014-03-12,0.08 2180 | 2014-03-13,0.08 2181 | 2014-03-14,0.08 2182 | 2014-03-17,0.08 2183 | 2014-03-18,0.08 2184 | 2014-03-19,0.08 2185 | 2014-03-20,0.08 2186 | 2014-03-21,0.08 2187 | 2014-03-24,0.09 2188 | 2014-03-25,0.09 2189 | 2014-03-26,0.08 2190 | 2014-03-27,0.08 2191 | 2014-03-28,0.08 2192 | 2014-03-31,0.06 2193 | 2014-04-01,0.08 2194 | 2014-04-02,0.09 2195 | 2014-04-03,0.08 2196 | 2014-04-04,0.08 2197 | 2014-04-07,0.09 2198 | 2014-04-08,0.08 2199 | 2014-04-09,0.08 2200 | 2014-04-10,0.08 2201 | 2014-04-11,0.09 2202 | 2014-04-14,0.09 2203 | 2014-04-15,0.10 2204 | 2014-04-16,0.09 2205 | 2014-04-17,0.09 2206 | 2014-04-18,0.10 2207 | 2014-04-21,0.10 2208 | 2014-04-22,0.10 2209 | 2014-04-23,0.10 2210 | 2014-04-24,0.10 2211 | 2014-04-25,0.09 2212 | 2014-04-28,0.09 2213 | 2014-04-29,0.10 2214 | 2014-04-30,0.09 2215 | 2014-05-01,0.09 2216 | 2014-05-02,0.09 2217 | 2014-05-05,0.09 2218 | 2014-05-06,0.09 2219 | 2014-05-07,0.08 2220 | 2014-05-08,0.08 2221 | 2014-05-09,0.08 2222 | 2014-05-12,0.08 2223 | 2014-05-13,0.09 2224 | 2014-05-14,0.08 2225 | 2014-05-15,0.09 2226 | 2014-05-16,0.09 2227 | 2014-05-19,0.09 2228 | 2014-05-20,0.09 2229 | 2014-05-21,0.09 2230 | 2014-05-22,0.09 2231 | 2014-05-23,0.09 2232 | 2014-05-26,. 2233 | 2014-05-27,0.09 2234 | 2014-05-28,0.09 2235 | 2014-05-29,0.09 2236 | 2014-05-30,0.08 2237 | 2014-06-02,0.09 2238 | 2014-06-03,0.10 2239 | 2014-06-04,0.09 2240 | 2014-06-05,0.09 2241 | 2014-06-06,0.09 2242 | 2014-06-09,0.09 2243 | 2014-06-10,0.09 2244 | 2014-06-11,0.09 2245 | 2014-06-12,0.09 2246 | 2014-06-13,0.10 2247 | 2014-06-16,0.10 2248 | 2014-06-17,0.10 2249 | 2014-06-18,0.10 2250 | 2014-06-19,0.10 2251 | 2014-06-20,0.10 2252 | 2014-06-23,0.10 2253 | 2014-06-24,0.10 2254 | 2014-06-25,0.10 2255 | 2014-06-26,0.10 2256 | 2014-06-27,0.10 2257 | 2014-06-30,0.09 2258 | 2014-07-01,0.10 2259 | 2014-07-02,0.10 2260 | 2014-07-03,0.09 2261 | 2014-07-04,. 2262 | 2014-07-07,0.10 2263 | 2014-07-08,0.09 2264 | 2014-07-09,0.09 2265 | 2014-07-10,0.09 2266 | 2014-07-11,0.09 2267 | 2014-07-14,0.09 2268 | 2014-07-15,0.09 2269 | 2014-07-16,0.09 2270 | 2014-07-17,0.09 2271 | 2014-07-18,0.09 2272 | 2014-07-21,0.10 2273 | 2014-07-22,0.09 2274 | 2014-07-23,0.09 2275 | 2014-07-24,0.09 2276 | 2014-07-25,0.09 2277 | 2014-07-28,0.09 2278 | 2014-07-29,0.09 2279 | 2014-07-30,0.09 2280 | 2014-07-31,0.08 2281 | 2014-08-01,0.09 2282 | 2014-08-04,0.09 2283 | 2014-08-05,0.09 2284 | 2014-08-06,0.09 2285 | 2014-08-07,0.09 2286 | 2014-08-08,0.09 2287 | 2014-08-11,0.09 2288 | 2014-08-12,0.09 2289 | 2014-08-13,0.09 2290 | 2014-08-14,0.09 2291 | 2014-08-15,0.09 2292 | 2014-08-18,0.09 2293 | 2014-08-19,0.09 2294 | 2014-08-20,0.09 2295 | 2014-08-21,0.09 2296 | 2014-08-22,0.09 2297 | 2014-08-25,0.09 2298 | 2014-08-26,0.09 2299 | 2014-08-27,0.09 2300 | 2014-08-28,0.09 2301 | 2014-08-29,0.07 2302 | 2014-09-01,. 2303 | 2014-09-02,0.09 2304 | 2014-09-03,0.09 2305 | 2014-09-04,0.09 2306 | 2014-09-05,0.09 2307 | 2014-09-08,0.09 2308 | 2014-09-09,0.09 2309 | 2014-09-10,0.09 2310 | 2014-09-11,0.09 2311 | 2014-09-12,0.09 2312 | 2014-09-15,0.09 2313 | 2014-09-16,0.09 2314 | 2014-09-17,0.09 2315 | 2014-09-18,0.09 2316 | 2014-09-19,0.09 2317 | 2014-09-22,0.09 2318 | 2014-09-23,0.09 2319 | 2014-09-24,0.09 2320 | 2014-09-25,0.09 2321 | 2014-09-26,0.09 2322 | 2014-09-29,0.08 2323 | 2014-09-30,0.07 2324 | 2014-10-01,0.09 2325 | 2014-10-02,0.09 2326 | 2014-10-03,0.09 2327 | 2014-10-06,0.09 2328 | 2014-10-07,0.09 2329 | 2014-10-08,0.09 2330 | 2014-10-09,0.08 2331 | 2014-10-10,0.09 2332 | 2014-10-13,. 2333 | 2014-10-14,0.09 2334 | 2014-10-15,0.09 2335 | 2014-10-16,0.09 2336 | 2014-10-17,0.09 2337 | 2014-10-20,0.09 2338 | 2014-10-21,0.09 2339 | 2014-10-22,0.09 2340 | 2014-10-23,0.09 2341 | 2014-10-24,0.09 2342 | 2014-10-27,0.09 2343 | 2014-10-28,0.09 2344 | 2014-10-29,0.09 2345 | 2014-10-30,0.09 2346 | 2014-10-31,0.07 2347 | 2014-11-03,0.09 2348 | 2014-11-04,0.10 2349 | 2014-11-05,0.09 2350 | 2014-11-06,0.09 2351 | 2014-11-07,0.09 2352 | 2014-11-10,0.09 2353 | 2014-11-11,. 2354 | 2014-11-12,0.09 2355 | 2014-11-13,0.09 2356 | 2014-11-14,0.09 2357 | 2014-11-17,0.10 2358 | 2014-11-18,0.11 2359 | 2014-11-19,0.10 2360 | 2014-11-20,0.10 2361 | 2014-11-21,0.10 2362 | 2014-11-24,0.10 2363 | 2014-11-25,0.10 2364 | 2014-11-26,0.10 2365 | 2014-11-27,. 2366 | 2014-11-28,0.08 2367 | 2014-12-01,0.13 2368 | 2014-12-02,0.12 2369 | 2014-12-03,0.12 2370 | 2014-12-04,0.12 2371 | 2014-12-05,0.12 2372 | 2014-12-08,0.12 2373 | 2014-12-09,0.12 2374 | 2014-12-10,0.12 2375 | 2014-12-11,0.12 2376 | 2014-12-12,0.12 2377 | 2014-12-15,0.11 2378 | 2014-12-16,0.12 2379 | 2014-12-17,0.13 2380 | 2014-12-18,0.13 2381 | 2014-12-19,0.13 2382 | 2014-12-22,0.13 2383 | 2014-12-23,0.13 2384 | 2014-12-24,0.13 2385 | 2014-12-25,. 2386 | 2014-12-26,0.13 2387 | 2014-12-29,0.13 2388 | 2014-12-30,0.13 2389 | 2014-12-31,0.06 2390 | 2015-01-01,. 2391 | 2015-01-02,0.12 2392 | 2015-01-05,0.12 2393 | 2015-01-06,0.12 2394 | 2015-01-07,0.12 2395 | 2015-01-08,0.12 2396 | 2015-01-09,0.12 2397 | 2015-01-12,0.12 2398 | 2015-01-13,0.12 2399 | 2015-01-14,0.12 2400 | 2015-01-15,0.12 2401 | 2015-01-16,0.13 2402 | 2015-01-19,. 2403 | 2015-01-20,0.12 2404 | 2015-01-21,0.12 2405 | 2015-01-22,0.12 2406 | 2015-01-23,0.12 2407 | 2015-01-26,0.12 2408 | 2015-01-27,0.11 2409 | 2015-01-28,0.12 2410 | 2015-01-29,0.11 2411 | 2015-01-30,0.06 2412 | 2015-02-02,0.12 2413 | 2015-02-03,0.12 2414 | 2015-02-04,0.11 2415 | 2015-02-05,0.12 2416 | 2015-02-06,0.11 2417 | 2015-02-09,0.12 2418 | 2015-02-10,0.12 2419 | 2015-02-11,0.12 2420 | 2015-02-12,0.12 2421 | 2015-02-13,0.12 2422 | 2015-02-16,. 2423 | 2015-02-17,0.12 2424 | 2015-02-18,0.12 2425 | 2015-02-19,0.12 2426 | 2015-02-20,0.12 2427 | 2015-02-23,0.11 2428 | 2015-02-24,0.11 2429 | 2015-02-25,0.11 2430 | 2015-02-26,0.11 2431 | 2015-02-27,0.06 2432 | 2015-03-02,0.12 2433 | 2015-03-03,0.12 2434 | 2015-03-04,0.11 2435 | 2015-03-05,0.11 2436 | 2015-03-06,0.12 2437 | 2015-03-09,0.12 2438 | 2015-03-10,0.12 2439 | 2015-03-11,0.11 2440 | 2015-03-12,0.11 2441 | 2015-03-13,0.11 2442 | 2015-03-16,0.12 2443 | 2015-03-17,0.12 2444 | 2015-03-18,0.11 2445 | 2015-03-19,0.12 2446 | 2015-03-20,0.12 2447 | 2015-03-23,0.12 2448 | 2015-03-24,0.11 2449 | 2015-03-25,0.12 2450 | 2015-03-26,0.11 2451 | 2015-03-27,0.12 2452 | 2015-03-30,0.12 2453 | 2015-03-31,0.06 2454 | 2015-04-01,0.12 2455 | 2015-04-02,0.12 2456 | 2015-04-03,0.12 2457 | 2015-04-06,0.13 2458 | 2015-04-07,0.12 2459 | 2015-04-08,0.12 2460 | 2015-04-09,0.12 2461 | 2015-04-10,0.12 2462 | 2015-04-13,0.13 2463 | 2015-04-14,0.13 2464 | 2015-04-15,0.13 2465 | 2015-04-16,0.13 2466 | 2015-04-17,0.13 2467 | 2015-04-20,0.13 2468 | 2015-04-21,0.13 2469 | 2015-04-22,0.13 2470 | 2015-04-23,0.13 2471 | 2015-04-24,0.13 2472 | 2015-04-27,0.13 2473 | 2015-04-28,0.13 2474 | 2015-04-29,0.13 2475 | 2015-04-30,0.08 2476 | 2015-05-01,0.13 2477 | 2015-05-04,0.13 2478 | 2015-05-05,0.13 2479 | 2015-05-06,0.13 2480 | 2015-05-07,0.13 2481 | 2015-05-08,0.13 2482 | 2015-05-11,0.13 2483 | 2015-05-12,0.13 2484 | 2015-05-13,0.13 2485 | 2015-05-14,0.13 2486 | 2015-05-15,0.13 2487 | 2015-05-18,0.13 2488 | 2015-05-19,0.12 2489 | 2015-05-20,0.12 2490 | 2015-05-21,0.12 2491 | 2015-05-22,0.13 2492 | 2015-05-25,. 2493 | 2015-05-26,0.12 2494 | 2015-05-27,0.12 2495 | 2015-05-28,0.12 2496 | 2015-05-29,0.08 2497 | 2015-06-01,0.12 2498 | 2015-06-02,0.12 2499 | 2015-06-03,0.13 2500 | 2015-06-04,0.13 2501 | 2015-06-05,0.13 2502 | 2015-06-08,0.13 2503 | 2015-06-09,0.13 2504 | 2015-06-10,0.13 2505 | 2015-06-11,0.13 2506 | 2015-06-12,0.13 2507 | 2015-06-15,0.13 2508 | 2015-06-16,0.14 2509 | 2015-06-17,0.14 2510 | 2015-06-18,0.14 2511 | 2015-06-19,0.13 2512 | 2015-06-22,0.13 2513 | 2015-06-23,0.13 2514 | 2015-06-24,0.13 2515 | 2015-06-25,0.13 2516 | 2015-06-26,0.13 2517 | 2015-06-29,0.14 2518 | 2015-06-30,0.08 2519 | 2015-07-01,0.13 2520 | 2015-07-02,0.13 2521 | 2015-07-03,0.13 2522 | 2015-07-06,0.13 2523 | 2015-07-07,0.13 2524 | 2015-07-08,0.13 2525 | 2015-07-09,0.13 2526 | 2015-07-10,0.13 2527 | 2015-07-13,0.13 2528 | 2015-07-14,0.13 2529 | 2015-07-15,0.13 2530 | 2015-07-16,0.14 2531 | 2015-07-17,0.13 2532 | 2015-07-20,0.14 2533 | 2015-07-21,0.13 2534 | 2015-07-22,0.13 2535 | 2015-07-23,0.13 2536 | 2015-07-24,0.13 2537 | 2015-07-27,0.14 2538 | 2015-07-28,0.14 2539 | 2015-07-29,0.14 2540 | 2015-07-30,0.14 2541 | 2015-07-31,0.08 2542 | 2015-08-03,0.14 2543 | 2015-08-04,0.14 2544 | 2015-08-05,0.14 2545 | 2015-08-06,0.14 2546 | 2015-08-07,0.14 2547 | 2015-08-10,0.14 2548 | 2015-08-11,0.15 2549 | 2015-08-12,0.15 2550 | 2015-08-13,0.15 2551 | 2015-08-14,0.14 2552 | 2015-08-17,0.15 2553 | 2015-08-18,0.15 2554 | 2015-08-19,0.15 2555 | 2015-08-20,0.15 2556 | 2015-08-21,0.15 2557 | 2015-08-24,0.15 2558 | 2015-08-25,0.15 2559 | 2015-08-26,0.14 2560 | 2015-08-27,0.14 2561 | 2015-08-28,0.14 2562 | 2015-08-31,0.08 2563 | 2015-09-01,0.14 2564 | 2015-09-02,0.14 2565 | 2015-09-03,0.14 2566 | 2015-09-04,0.14 2567 | 2015-09-07,. 2568 | 2015-09-08,0.14 2569 | 2015-09-09,0.14 2570 | 2015-09-10,0.14 2571 | 2015-09-11,0.14 2572 | 2015-09-14,0.14 2573 | 2015-09-15,0.14 2574 | 2015-09-16,0.14 2575 | 2015-09-17,0.14 2576 | 2015-09-18,0.14 2577 | 2015-09-21,0.14 2578 | 2015-09-22,0.14 2579 | 2015-09-23,0.14 2580 | 2015-09-24,0.14 2581 | 2015-09-25,0.13 2582 | 2015-09-28,0.13 2583 | 2015-09-29,0.13 2584 | 2015-09-30,0.07 2585 | 2015-10-01,0.13 2586 | 2015-10-02,0.13 2587 | 2015-10-05,0.13 2588 | 2015-10-06,0.13 2589 | 2015-10-07,0.13 2590 | 2015-10-08,0.13 2591 | 2015-10-09,0.13 2592 | 2015-10-12,. 2593 | 2015-10-13,0.13 2594 | 2015-10-14,0.13 2595 | 2015-10-15,0.13 2596 | 2015-10-16,0.13 2597 | 2015-10-19,0.13 2598 | 2015-10-20,0.13 2599 | 2015-10-21,0.13 2600 | 2015-10-22,0.12 2601 | 2015-10-23,0.12 2602 | 2015-10-26,0.12 2603 | 2015-10-27,0.12 2604 | 2015-10-28,0.12 2605 | 2015-10-29,0.12 2606 | 2015-10-30,0.07 2607 | 2015-11-02,0.12 2608 | 2015-11-03,0.12 2609 | 2015-11-04,0.12 2610 | 2015-11-05,0.12 2611 | 2015-11-06,0.12 2612 | 2015-11-09,0.12 2613 | 2015-11-10,0.12 2614 | 2015-11-11,. 2615 | 2015-11-12,0.12 2616 | 2015-11-13,0.12 2617 | 2015-11-16,0.13 2618 | 2015-11-17,0.13 2619 | 2015-11-18,0.12 2620 | 2015-11-19,0.12 2621 | 2015-11-20,0.12 2622 | 2015-11-23,0.12 2623 | 2015-11-24,0.12 2624 | 2015-11-25,0.12 2625 | 2015-11-26,. 2626 | 2015-11-27,0.12 2627 | 2015-11-30,0.08 2628 | 2015-12-01,0.13 2629 | 2015-12-02,0.13 2630 | 2015-12-03,0.13 2631 | 2015-12-04,0.13 2632 | 2015-12-07,0.13 2633 | 2015-12-08,0.13 2634 | 2015-12-09,0.14 2635 | 2015-12-10,0.14 2636 | 2015-12-11,0.14 2637 | 2015-12-14,0.15 2638 | 2015-12-15,0.15 2639 | 2015-12-16,0.15 2640 | 2015-12-17,0.37 2641 | 2015-12-18,0.37 2642 | 2015-12-21,0.36 2643 | 2015-12-22,0.36 2644 | 2015-12-23,0.36 2645 | 2015-12-24,0.36 2646 | 2015-12-25,. 2647 | 2015-12-28,0.36 2648 | 2015-12-29,0.36 2649 | 2015-12-30,0.35 2650 | 2015-12-31,0.20 2651 | 2016-01-01,. 2652 | 2016-01-04,0.36 2653 | 2016-01-05,0.36 2654 | 2016-01-06,0.36 2655 | 2016-01-07,0.36 2656 | 2016-01-08,0.36 2657 | 2016-01-11,0.36 2658 | 2016-01-12,0.36 2659 | 2016-01-13,0.36 2660 | 2016-01-14,0.36 2661 | 2016-01-15,0.36 2662 | 2016-01-18,. 2663 | 2016-01-19,0.36 2664 | 2016-01-20,0.37 2665 | 2016-01-21,0.37 2666 | 2016-01-22,0.38 2667 | 2016-01-25,0.38 2668 | 2016-01-26,0.38 2669 | 2016-01-27,0.38 2670 | 2016-01-28,0.38 2671 | 2016-01-29,0.29 2672 | 2016-02-01,0.38 2673 | 2016-02-02,0.38 2674 | 2016-02-03,0.38 2675 | 2016-02-04,0.38 2676 | 2016-02-05,0.38 2677 | 2016-02-08,0.38 2678 | 2016-02-09,0.38 2679 | 2016-02-10,0.38 2680 | 2016-02-11,0.38 2681 | 2016-02-12,0.38 2682 | 2016-02-15,. 2683 | 2016-02-16,0.38 2684 | 2016-02-17,0.37 2685 | 2016-02-18,0.38 2686 | 2016-02-19,0.38 2687 | 2016-02-22,0.38 2688 | 2016-02-23,0.38 2689 | 2016-02-24,0.38 2690 | 2016-02-25,0.37 2691 | 2016-02-26,0.37 2692 | 2016-02-29,0.29 2693 | 2016-03-01,0.36 2694 | 2016-03-02,0.37 2695 | 2016-03-03,0.37 2696 | 2016-03-04,0.36 2697 | 2016-03-07,0.36 2698 | 2016-03-08,0.36 2699 | 2016-03-09,0.36 2700 | 2016-03-10,0.36 2701 | 2016-03-11,0.36 2702 | 2016-03-14,0.36 2703 | 2016-03-15,0.37 2704 | 2016-03-16,0.37 2705 | 2016-03-17,0.37 2706 | 2016-03-18,0.37 2707 | 2016-03-21,0.37 2708 | 2016-03-22,0.37 2709 | 2016-03-23,0.37 2710 | 2016-03-24,0.37 2711 | 2016-03-25,0.37 2712 | 2016-03-28,0.37 2713 | 2016-03-29,0.37 2714 | 2016-03-30,0.37 2715 | 2016-03-31,0.25 2716 | 2016-04-01,0.37 2717 | 2016-04-04,0.37 2718 | 2016-04-05,0.37 2719 | 2016-04-06,0.37 2720 | 2016-04-07,0.37 2721 | 2016-04-08,0.37 2722 | 2016-04-11,0.37 2723 | 2016-04-12,0.37 2724 | 2016-04-13,0.37 2725 | 2016-04-14,0.37 2726 | 2016-04-15,0.37 2727 | 2016-04-18,0.37 2728 | 2016-04-19,0.37 2729 | 2016-04-20,0.37 2730 | 2016-04-21,0.37 2731 | 2016-04-22,0.37 2732 | 2016-04-25,0.37 2733 | 2016-04-26,0.37 2734 | 2016-04-27,0.37 2735 | 2016-04-28,0.37 2736 | 2016-04-29,0.30 2737 | 2016-05-02,0.37 2738 | 2016-05-03,0.37 2739 | 2016-05-04,0.37 2740 | 2016-05-05,0.37 2741 | 2016-05-06,0.37 2742 | 2016-05-09,0.37 2743 | 2016-05-10,0.37 2744 | 2016-05-11,0.37 2745 | 2016-05-12,0.37 2746 | 2016-05-13,0.37 2747 | 2016-05-16,0.37 2748 | 2016-05-17,0.37 2749 | 2016-05-18,0.37 2750 | 2016-05-19,0.37 2751 | 2016-05-20,0.37 2752 | 2016-05-23,0.37 2753 | 2016-05-24,0.37 2754 | 2016-05-25,0.37 2755 | 2016-05-26,0.37 2756 | 2016-05-27,0.37 2757 | 2016-05-30,. 2758 | 2016-05-31,0.29 2759 | 2016-06-01,0.37 2760 | 2016-06-02,0.37 2761 | 2016-06-03,0.37 2762 | 2016-06-06,0.37 2763 | 2016-06-07,0.37 2764 | 2016-06-08,0.37 2765 | 2016-06-09,0.37 2766 | 2016-06-10,0.37 2767 | 2016-06-13,0.37 2768 | 2016-06-14,0.37 2769 | 2016-06-15,0.37 2770 | 2016-06-16,0.38 2771 | 2016-06-17,0.38 2772 | 2016-06-20,0.38 2773 | 2016-06-21,0.38 2774 | 2016-06-22,0.38 2775 | 2016-06-23,0.39 2776 | 2016-06-24,0.40 2777 | 2016-06-27,0.41 2778 | 2016-06-28,0.41 2779 | 2016-06-29,0.41 2780 | 2016-06-30,0.30 2781 | 2016-07-01,0.41 2782 | 2016-07-04,. 2783 | 2016-07-05,0.40 2784 | 2016-07-06,0.40 2785 | 2016-07-07,0.40 2786 | 2016-07-08,0.40 2787 | 2016-07-11,0.40 2788 | 2016-07-12,0.40 2789 | 2016-07-13,0.40 2790 | 2016-07-14,0.40 2791 | 2016-07-15,0.40 2792 | 2016-07-18,0.40 2793 | 2016-07-19,0.40 2794 | 2016-07-20,0.40 2795 | 2016-07-21,0.40 2796 | 2016-07-22,0.40 2797 | 2016-07-25,0.40 2798 | 2016-07-26,0.40 2799 | 2016-07-27,0.40 2800 | 2016-07-28,0.40 2801 | 2016-07-29,0.30 2802 | 2016-08-01,0.40 2803 | 2016-08-02,0.40 2804 | 2016-08-03,0.40 2805 | 2016-08-04,0.40 2806 | 2016-08-05,0.40 2807 | 2016-08-08,0.4 2808 | 2016-08-09,0.4 2809 | 2016-08-10,0.4 2810 | 2016-08-11,0.4 2811 | 2016-08-12,0.4 2812 | 2016-08-15,0.4 2813 | 2016-08-16,0.4 2814 | 2016-08-17,0.4 2815 | 2016-08-18,0.4 2816 | 2016-08-19,0.4 2817 | 2016-08-22,0.4 2818 | 2016-08-23,0.4 2819 | 2016-08-24,0.4 2820 | 2016-08-25,0.4 2821 | 2016-08-26,0.4 2822 | 2016-08-29,0.4 2823 | 2016-08-30,0.4 2824 | 2016-08-31,0.3 2825 | 2016-09-01,0.4 2826 | 2016-09-02,0.4 2827 | 2016-09-05,. 2828 | 2016-09-06,0.4 2829 | 2016-09-07,0.4 2830 | 2016-09-08,0.4 2831 | 2016-09-09,0.4 2832 | 2016-09-12,0.4 2833 | 2016-09-13,0.4 2834 | 2016-09-14,0.4 2835 | 2016-09-15,0.4 2836 | 2016-09-16,0.4 2837 | 2016-09-19,0.4 2838 | 2016-09-20,0.4 2839 | 2016-09-21,0.4 2840 | 2016-09-22,0.4 2841 | 2016-09-23,0.4 2842 | 2016-09-26,0.4 2843 | 2016-09-27,0.4 2844 | 2016-09-28,0.4 2845 | 2016-09-29,0.4 2846 | 2016-09-30,0.29 2847 | 2016-10-03,0.40 2848 | 2016-10-04,0.40 2849 | 2016-10-05,0.40 2850 | 2016-10-06,0.40 2851 | 2016-10-07,0.40 2852 | 2016-10-10,. 2853 | 2016-10-11,0.41 2854 | 2016-10-12,0.41 2855 | 2016-10-13,0.41 2856 | 2016-10-14,0.41 2857 | 2016-10-17,0.41 2858 | 2016-10-18,0.41 2859 | 2016-10-19,0.41 2860 | 2016-10-20,0.41 2861 | 2016-10-21,0.41 2862 | 2016-10-24,0.41 2863 | 2016-10-25,0.41 2864 | 2016-10-26,0.41 2865 | 2016-10-27,0.41 2866 | 2016-10-28,0.41 2867 | 2016-10-31,0.31 2868 | 2016-11-01,0.41 2869 | 2016-11-02,0.41 2870 | 2016-11-03,0.41 2871 | 2016-11-04,0.41 2872 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/macro data/STLFSI.csv: -------------------------------------------------------------------------------- 1 | DATE,STLFSI 2 | 2005-11-11,-0.507 3 | 2005-11-18,-0.504 4 | 2005-11-25,-0.508 5 | 2005-12-02,-0.481 6 | 2005-12-09,-0.474 7 | 2005-12-16,-0.422 8 | 2005-12-23,-0.478 9 | 2005-12-30,-0.478 10 | 2006-01-06,-0.577 11 | 2006-01-13,-0.659 12 | 2006-01-20,-0.657 13 | 2006-01-27,-0.641 14 | 2006-02-03,-0.637 15 | 2006-02-10,-0.630 16 | 2006-02-17,-0.664 17 | 2006-02-24,-0.734 18 | 2006-03-03,-0.717 19 | 2006-03-10,-0.604 20 | 2006-03-17,-0.619 21 | 2006-03-24,-0.635 22 | 2006-03-31,-0.565 23 | 2006-04-07,-0.546 24 | 2006-04-14,-0.489 25 | 2006-04-21,-0.525 26 | 2006-04-28,-0.538 27 | 2006-05-05,-0.537 28 | 2006-05-12,-0.554 29 | 2006-05-19,-0.467 30 | 2006-05-26,-0.401 31 | 2006-06-02,-0.402 32 | 2006-06-09,-0.384 33 | 2006-06-16,-0.308 34 | 2006-06-23,-0.269 35 | 2006-06-30,-0.295 36 | 2006-07-07,-0.337 37 | 2006-07-14,-0.333 38 | 2006-07-21,-0.332 39 | 2006-07-28,-0.402 40 | 2006-08-04,-0.438 41 | 2006-08-11,-0.485 42 | 2006-08-18,-0.543 43 | 2006-08-25,-0.568 44 | 2006-09-01,-0.554 45 | 2006-09-08,-0.501 46 | 2006-09-15,-0.504 47 | 2006-09-22,-0.502 48 | 2006-09-29,-0.483 49 | 2006-10-06,-0.505 50 | 2006-10-13,-0.558 51 | 2006-10-20,-0.606 52 | 2006-10-27,-0.639 53 | 2006-11-03,-0.635 54 | 2006-11-10,-0.657 55 | 2006-11-17,-0.655 56 | 2006-11-24,-0.657 57 | 2006-12-01,-0.626 58 | 2006-12-08,-0.613 59 | 2006-12-15,-0.615 60 | 2006-12-22,-0.623 61 | 2006-12-29,-0.618 62 | 2007-01-05,-0.618 63 | 2007-01-12,-0.671 64 | 2007-01-19,-0.707 65 | 2007-01-26,-0.724 66 | 2007-02-02,-0.715 67 | 2007-02-09,-0.757 68 | 2007-02-16,-0.767 69 | 2007-02-23,-0.812 70 | 2007-03-02,-0.667 71 | 2007-03-09,-0.649 72 | 2007-03-16,-0.609 73 | 2007-03-23,-0.663 74 | 2007-03-30,-0.636 75 | 2007-04-06,-0.632 76 | 2007-04-13,-0.649 77 | 2007-04-20,-0.664 78 | 2007-04-27,-0.665 79 | 2007-05-04,-0.613 80 | 2007-05-11,-0.628 81 | 2007-05-18,-0.575 82 | 2007-05-25,-0.590 83 | 2007-06-01,-0.531 84 | 2007-06-08,-0.438 85 | 2007-06-15,-0.259 86 | 2007-06-22,-0.311 87 | 2007-06-29,-0.289 88 | 2007-07-06,-0.385 89 | 2007-07-13,-0.359 90 | 2007-07-20,-0.384 91 | 2007-07-27,-0.205 92 | 2007-08-03,-0.032 93 | 2007-08-10,0.154 94 | 2007-08-17,0.694 95 | 2007-08-24,0.947 96 | 2007-08-31,0.735 97 | 2007-09-07,0.830 98 | 2007-09-14,1.011 99 | 2007-09-21,0.665 100 | 2007-09-28,0.547 101 | 2007-10-05,0.457 102 | 2007-10-12,0.283 103 | 2007-10-19,0.332 104 | 2007-10-26,0.339 105 | 2007-11-02,0.262 106 | 2007-11-09,0.576 107 | 2007-11-16,0.718 108 | 2007-11-23,0.941 109 | 2007-11-30,1.220 110 | 2007-12-07,1.299 111 | 2007-12-14,1.351 112 | 2007-12-21,1.227 113 | 2007-12-28,0.985 114 | 2008-01-04,0.845 115 | 2008-01-11,0.770 116 | 2008-01-18,0.554 117 | 2008-01-25,0.894 118 | 2008-02-01,0.695 119 | 2008-02-08,0.710 120 | 2008-02-15,0.671 121 | 2008-02-22,0.757 122 | 2008-02-29,0.853 123 | 2008-03-07,1.219 124 | 2008-03-14,1.269 125 | 2008-03-21,1.426 126 | 2008-03-28,1.172 127 | 2008-04-04,1.079 128 | 2008-04-11,1.070 129 | 2008-04-18,1.265 130 | 2008-04-25,1.219 131 | 2008-05-02,0.982 132 | 2008-05-09,0.731 133 | 2008-05-16,0.615 134 | 2008-05-23,0.539 135 | 2008-05-30,0.621 136 | 2008-06-06,0.704 137 | 2008-06-13,0.848 138 | 2008-06-20,0.846 139 | 2008-06-27,0.963 140 | 2008-07-04,0.968 141 | 2008-07-11,1.039 142 | 2008-07-18,1.280 143 | 2008-07-25,1.158 144 | 2008-08-01,1.122 145 | 2008-08-08,1.070 146 | 2008-08-15,0.991 147 | 2008-08-22,1.042 148 | 2008-08-29,1.040 149 | 2008-09-05,1.118 150 | 2008-09-12,1.276 151 | 2008-09-19,2.451 152 | 2008-09-26,2.821 153 | 2008-10-03,3.961 154 | 2008-10-10,5.249 155 | 2008-10-17,5.546 156 | 2008-10-24,4.708 157 | 2008-10-31,4.925 158 | 2008-11-07,4.137 159 | 2008-11-14,3.938 160 | 2008-11-21,4.553 161 | 2008-11-28,4.605 162 | 2008-12-05,4.606 163 | 2008-12-12,4.481 164 | 2008-12-19,3.941 165 | 2008-12-26,3.538 166 | 2009-01-02,3.471 167 | 2009-01-09,3.019 168 | 2009-01-16,2.678 169 | 2009-01-23,2.933 170 | 2009-01-30,3.119 171 | 2009-02-06,2.781 172 | 2009-02-13,2.722 173 | 2009-02-20,2.845 174 | 2009-02-27,2.989 175 | 2009-03-06,3.211 176 | 2009-03-13,3.152 177 | 2009-03-20,2.898 178 | 2009-03-27,2.707 179 | 2009-04-03,2.546 180 | 2009-04-10,2.449 181 | 2009-04-17,2.257 182 | 2009-04-24,2.242 183 | 2009-05-01,2.100 184 | 2009-05-08,1.801 185 | 2009-05-15,1.638 186 | 2009-05-22,1.449 187 | 2009-05-29,1.498 188 | 2009-06-05,1.420 189 | 2009-06-12,1.296 190 | 2009-06-19,1.295 191 | 2009-06-26,1.228 192 | 2009-07-03,1.074 193 | 2009-07-10,0.996 194 | 2009-07-17,0.942 195 | 2009-07-24,0.809 196 | 2009-07-31,0.691 197 | 2009-08-07,0.573 198 | 2009-08-14,0.542 199 | 2009-08-21,0.486 200 | 2009-08-28,0.385 201 | 2009-09-04,0.386 202 | 2009-09-11,0.213 203 | 2009-09-18,0.109 204 | 2009-09-25,0.012 205 | 2009-10-02,-0.006 206 | 2009-10-09,-0.046 207 | 2009-10-16,-0.069 208 | 2009-10-23,-0.137 209 | 2009-10-30,-0.048 210 | 2009-11-06,-0.053 211 | 2009-11-13,-0.216 212 | 2009-11-20,-0.283 213 | 2009-11-27,-0.324 214 | 2009-12-04,-0.311 215 | 2009-12-11,-0.295 216 | 2009-12-18,-0.350 217 | 2009-12-25,-0.351 218 | 2010-01-01,-0.356 219 | 2010-01-08,-0.431 220 | 2010-01-15,-0.540 221 | 2010-01-22,-0.523 222 | 2010-01-29,-0.454 223 | 2010-02-05,-0.463 224 | 2010-02-12,-0.381 225 | 2010-02-19,-0.435 226 | 2010-02-26,-0.511 227 | 2010-03-05,-0.573 228 | 2010-03-12,-0.651 229 | 2010-03-19,-0.675 230 | 2010-03-26,-0.601 231 | 2010-04-02,-0.596 232 | 2010-04-09,-0.628 233 | 2010-04-16,-0.685 234 | 2010-04-23,-0.721 235 | 2010-04-30,-0.638 236 | 2010-05-07,-0.412 237 | 2010-05-14,-0.323 238 | 2010-05-21,-0.115 239 | 2010-05-28,0.002 240 | 2010-06-04,-0.015 241 | 2010-06-11,0.026 242 | 2010-06-18,-0.131 243 | 2010-06-25,-0.228 244 | 2010-07-02,-0.168 245 | 2010-07-09,-0.246 246 | 2010-07-16,-0.344 247 | 2010-07-23,-0.392 248 | 2010-07-30,-0.490 249 | 2010-08-06,-0.554 250 | 2010-08-13,-0.543 251 | 2010-08-20,-0.522 252 | 2010-08-27,-0.487 253 | 2010-09-03,-0.497 254 | 2010-09-10,-0.550 255 | 2010-09-17,-0.605 256 | 2010-09-24,-0.685 257 | 2010-10-01,-0.733 258 | 2010-10-08,-0.741 259 | 2010-10-15,-0.832 260 | 2010-10-22,-0.800 261 | 2010-10-29,-0.779 262 | 2010-11-05,-0.810 263 | 2010-11-12,-0.812 264 | 2010-11-19,-0.706 265 | 2010-11-26,-0.731 266 | 2010-12-03,-0.662 267 | 2010-12-10,-0.671 268 | 2010-12-17,-0.628 269 | 2010-12-24,-0.720 270 | 2010-12-31,-0.707 271 | 2011-01-07,-0.735 272 | 2011-01-14,-0.813 273 | 2011-01-21,-0.807 274 | 2011-01-28,-0.827 275 | 2011-02-04,-0.790 276 | 2011-02-11,-0.798 277 | 2011-02-18,-0.814 278 | 2011-02-25,-0.789 279 | 2011-03-04,-0.813 280 | 2011-03-11,-0.802 281 | 2011-03-18,-0.704 282 | 2011-03-25,-0.814 283 | 2011-04-01,-0.830 284 | 2011-04-08,-0.858 285 | 2011-04-15,-0.920 286 | 2011-04-22,-0.976 287 | 2011-04-29,-1.007 288 | 2011-05-06,-0.959 289 | 2011-05-13,-0.962 290 | 2011-05-20,-0.975 291 | 2011-05-27,-0.994 292 | 2011-06-03,-0.974 293 | 2011-06-10,-0.931 294 | 2011-06-17,-0.856 295 | 2011-06-24,-0.848 296 | 2011-07-01,-0.853 297 | 2011-07-08,-0.883 298 | 2011-07-15,-0.836 299 | 2011-07-22,-0.875 300 | 2011-07-29,-0.878 301 | 2011-08-05,-0.766 302 | 2011-08-12,-0.362 303 | 2011-08-19,-0.467 304 | 2011-08-26,-0.320 305 | 2011-09-02,-0.430 306 | 2011-09-09,-0.375 307 | 2011-09-16,-0.373 308 | 2011-09-23,-0.314 309 | 2011-09-30,-0.171 310 | 2011-10-07,-0.086 311 | 2011-10-14,-0.234 312 | 2011-10-21,-0.283 313 | 2011-10-28,-0.423 314 | 2011-11-04,-0.390 315 | 2011-11-11,-0.380 316 | 2011-11-18,-0.303 317 | 2011-11-25,-0.263 318 | 2011-12-02,-0.331 319 | 2011-12-09,-0.387 320 | 2011-12-16,-0.437 321 | 2011-12-23,-0.479 322 | 2011-12-30,-0.487 323 | 2012-01-06,-0.534 324 | 2012-01-13,-0.588 325 | 2012-01-20,-0.669 326 | 2012-01-27,-0.706 327 | 2012-02-03,-0.818 328 | 2012-02-10,-0.837 329 | 2012-02-17,-0.859 330 | 2012-02-24,-0.907 331 | 2012-03-02,-0.944 332 | 2012-03-09,-0.917 333 | 2012-03-16,-0.944 334 | 2012-03-23,-0.900 335 | 2012-03-30,-0.961 336 | 2012-04-06,-0.921 337 | 2012-04-13,-0.904 338 | 2012-04-20,-0.957 339 | 2012-04-27,-1.009 340 | 2012-05-04,-1.043 341 | 2012-05-11,-1.046 342 | 2012-05-18,-0.914 343 | 2012-05-25,-0.875 344 | 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2016-05-06,-0.982 550 | 2016-05-13,-1.047 551 | 2016-05-20,-1.033 552 | 2016-05-27,-1.060 553 | 2016-06-03,-1.061 554 | 2016-06-10,-1.081 555 | 2016-06-17,-0.927 556 | 2016-06-24,-0.965 557 | 2016-07-01,-0.985 558 | 2016-07-08,-1.091 559 | 2016-07-15,-1.184 560 | 2016-07-22,-1.193 561 | 2016-07-29,-1.166 562 | 2016-08-05,-1.103 563 | 2016-08-12,-1.125 564 | 2016-08-19,-1.172 565 | 2016-08-26,-1.142 566 | 2016-09-02,-1.144 567 | 2016-09-09,-1.152 568 | 2016-09-16,-1.023 569 | 2016-09-23,-1.058 570 | 2016-09-30,-1.165 571 | 2016-10-07,-1.184 572 | 2016-10-14,-1.140 573 | 2016-10-21,-1.191 574 | 2016-10-28,-1.194 575 | 2016-11-04,-1.042 576 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/macro data/clean data.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Tue Nov 15 15:10:21 2016 4 | 5 | @author: ZFang 6 | """ 7 | 8 | import pandas as pd 9 | import os 10 | 11 | 12 | 13 | os.chdir(r'C:\Users\ZFang\Desktop\TeamCo\machine learning prediction\macro data\\') 14 | df = pd.pandas.read_csv('temp.csv') 15 | 16 | for i in range(len(df['DATE'])): 17 | for j in range(len(df['DATE.3'])): 18 | if df['DATE.3'].iloc[j] == df['DATE'].iloc[i]: 19 | df['New'].iloc[i:i+5] = df['STLFSI'].iloc[j] 20 | print('Pass_%d' %i) 21 | 22 | 23 | df.to_csv('clean data.csv') 24 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/macro data/consolidated data.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/machine learning prediction/macro data/consolidated data.xlsx -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/main_ml.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Mon Nov 7 16:07:34 2016 4 | 5 | @author: ZFang 6 | """ 7 | 8 | 9 | from datetime import datetime 10 | import pandas_datareader.data as wb 11 | import pandas as pd 12 | import numpy as np 13 | from sklearn import svm 14 | 15 | 16 | def cal_return(p): 17 | daily_return = (p['Adj Close'] - p['Adj Close'].shift(1))/p['Adj Close'] 18 | return daily_return 19 | 20 | 21 | def get_etf(stocklist, start): 22 | ''' 23 | Pull the data using Yahoo Fiannce API, given ticker(could be a list) and start date 24 | ''' 25 | start = datetime.strptime(start, '%m/%d/%Y') 26 | # end = datetime.strptime(end, '%m/%d/%Y') 27 | end = datetime.today() 28 | p = wb.DataReader(stocklist,'yahoo',start,end) 29 | p['Return'] = cal_return(p) 30 | return p 31 | 32 | def gen_ind(dataframe, n=10): 33 | ''' 34 | Generate the technical indicator from price 35 | ''' 36 | dataframe['SMA_10'] = dataframe['Adj Close'].rolling(window=n).mean() 37 | mo_arr = dataframe['Adj Close'][9:].values - dataframe['Adj Close'][:-9].values 38 | dataframe['Momentum'] = np.zeros(len(dataframe.index)) 39 | dataframe.ix[9:,'Momentum'] = mo_arr 40 | dataframe['LL'] = dataframe['Adj Close'].rolling(window=n).min() 41 | dataframe['HH'] = dataframe['Adj Close'].rolling(window=n).max() 42 | dataframe['stoch_K'] = 100 * (dataframe['Adj Close']- dataframe['LL'])/(dataframe['HH']- dataframe['LL']) 43 | for i in range(9,len(dataframe.index)): 44 | dataframe.ix[i,'WMA_10'] = (10*dataframe.ix[i,'Adj Close']+9*dataframe.ix[i-1,'Adj Close']+ 45 | 8*dataframe.ix[i-2,'Adj Close']+7*dataframe.ix[i-3,'Adj Close']+ 46 | 6*dataframe.ix[i-4,'Adj Close']+5*dataframe.ix[i-5,'Adj Close']+ 47 | 4*dataframe.ix[i-6,'Adj Close']+3*dataframe.ix[i-7,'Adj Close']+ 48 | 2*dataframe.ix[i-8,'Adj Close']+dataframe.ix[i-9,'Adj Close'])/sum(range(1,11,1)) 49 | dataframe['EMA_12'] = dataframe['Adj Close'].ewm(span=12).mean() 50 | dataframe['EMA_26'] = dataframe['Adj Close'].ewm(span=26).mean() 51 | dataframe['DIFF'] = dataframe['EMA_12'] - dataframe['EMA_26'] 52 | dataframe['MACD'] = np.zeros(len(dataframe.index)) 53 | dataframe['A/D'] = np.zeros(len(dataframe.index)) 54 | for i in range(1,len(dataframe.index)): 55 | dataframe.ix[i,'MACD'] = dataframe.ix[i-1,'MACD'] + 2/(n+1)*(dataframe.ix[i,'DIFF']-dataframe.ix[i-1,'MACD']) 56 | dataframe.ix[i,'A/D'] = (dataframe.ix[i,'High']-dataframe.ix[i-1,'Adj Close'])/(dataframe.ix[i,'High']-dataframe.ix[i,'Low']) 57 | return dataframe 58 | 59 | def gen_op_df(dataframe): 60 | ''' 61 | Generate binary indicator based on technical indicator value 62 | ''' 63 | op_df = pd.DataFrame(np.zeros((len(dataframe),10)), columns=['SMA_10', 'Momentum', 64 | 'stoch_K', 'WMA_10', 'MACD', 'A/D', 'Volume', 'Adj Close', 'Adj Close Value', 'Return']) 65 | op_df.index = dataframe.index 66 | op_df['Adj Close Value'] = dataframe['Adj Close'] 67 | op_df['Return'] = dataframe['Return'] 68 | op_df['Year'] = dataframe.index.year 69 | for i in range(10,len(dataframe.index)-1): 70 | op_df.ix[i,'SMA_10']=1 if (dataframe.ix[i,'Adj Close']>dataframe.ix[i,'SMA_10']) else -1 71 | op_df.ix[i,'WMA_10']=1 if (dataframe.ix[i,'Adj Close']>dataframe.ix[i,'WMA_10']) else -1 72 | op_df.ix[i,'MACD']=1 if (dataframe.ix[i,'MACD']>dataframe.ix[i-1,'MACD']) else -1 73 | op_df.ix[i,'stoch_K']=1 if (dataframe.ix[i,'stoch_K']>dataframe.ix[i-1,'stoch_K']) else -1 74 | op_df.ix[i,'Momentum']=1 if (dataframe.ix[i,'Momentum']>0) else -1 75 | op_df.ix[i,'A/D']=1 if (dataframe.ix[i,'A/D']>dataframe.ix[i-1,'A/D']) else -1 76 | op_df.ix[i,'Volume']=1 if (dataframe.ix[i,'Volume']>dataframe.ix[i-1,'Volume']) else -1 77 | op_df.ix[i,'Adj Close']=1 if (dataframe.ix[i+1,'Adj Close']/dataframe.ix[i,'Adj Close']>1) else -1 78 | # drop first 10 columns due to nan 79 | op_df = op_df[10:] 80 | return op_df 81 | 82 | def tune_para(dataframe, i): 83 | # To apply an classifier on this data, we need to flatten the image, to 84 | # turn the data in a (samples, feature) matrix: 85 | columns = ['SMA_10','Momentum','stoch_K','WMA_10','MACD','A/D','Volume'] 86 | X = dataframe[columns].as_matrix() 87 | y = dataframe['Adj Close'].as_matrix() 88 | X_train = X[i-200:i] 89 | y_train = y[i-200:i] 90 | X_test = X[i:i+1] 91 | y_test = y[i:i+1] 92 | 93 | ### Train four kinds of SVM model 94 | C = 1 # SVM regularization parameter 95 | svc = svm.SVC(cache_size = 1000, kernel='linear', C=C).fit(X_train, y_train) 96 | rbf_svc = svm.SVC(cache_size = 1000, kernel='rbf', gamma=0.7, C=C).fit(X_train, y_train) 97 | poly_svc = svm.SVC(cache_size = 1000, kernel='poly', degree=3, C=C).fit(X_train, y_train) 98 | lin_svc = svm.LinearSVC(loss='squared_hinge', penalty='l1', dual=False, C=C).fit(X_train, y_train) 99 | Y_result = y_test 100 | 101 | 102 | ### Make the prediction 103 | for i, clf in enumerate((svc, lin_svc, rbf_svc, poly_svc)): 104 | pred = clf.predict(X_test) 105 | Y_result = np.vstack((Y_result, np.array(pred))) # append prediction on Y_result 106 | return Y_result.T 107 | 108 | def svm_result(op_df): 109 | result_arr = np.zeros((1,5)) 110 | for i in range(200, len(op_df.index)): 111 | Y_result = tune_para(op_df, i) 112 | result_arr = np.append(result_arr, Y_result, axis=0) 113 | Y_result_df = pd.DataFrame(result_arr, columns = ['True value', 'SVC with linear kernel','LinearSVC (linear kernel)', 'SVC with RBF kernel','SVC with polynomial']) 114 | Y_result_df['Return'] = op_df.ix[199:,'Return'].values 115 | return Y_result_df 116 | 117 | if __name__ == '__main__': 118 | new_file_name = 'appl_op.csv' 119 | price_df = get_etf('AMZN','12/05/2010') 120 | indicator_df = gen_ind(price_df, n=10) 121 | op_df = gen_op_df(indicator_df) 122 | 123 | # Save the file and read it next time 124 | op_df.to_csv(new_file_name, index=True, header=True, index_label='index') 125 | op_df = pd.read_csv(new_file_name, index_col='index') 126 | Y_result_df = svm_result(op_df) 127 | 128 | 129 | ### Calculate the return based on the strategy 130 | Accuracy = pd.DataFrame(np.zeros((2,5)), columns = ['True value','SVC with linear kernel','LinearSVC (linear kernel)', 131 | 'SVC with RBF kernel','SVC with polynomial']) 132 | for i in range(5): 133 | Accuracy.iloc[0,i] = sum(Y_result_df.iloc[:,0]==Y_result_df.iloc[:,i])/len(Y_result_df.iloc[:,0]) 134 | if i==0: 135 | Accuracy.iloc[1,i] = np.prod(1+ Y_result_df['Return'][2:].values) 136 | else: 137 | Accuracy.iloc[1,i] = np.prod(1+ Y_result_df.iloc[1:-1,i].values*Y_result_df['Return'][2:].values) 138 | 139 | 140 | 141 | # bol = 1+ Y_result_df.iloc[1:-1,i] * Y_result_df['Return'].shift(1)[2:] 142 | # bol.prod() 143 | 144 | 145 | 146 | 147 | 148 | 149 | 150 | 151 | 152 | 153 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/paper/A hybrid ARIMA and support vector machines model in stock price forecasting.pdf: 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stock price index movement using artificial neural netwroks and svm, the sample of istanbul stock exchange.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/machine learning prediction/paper/Predicting direction of stock price index movement using artificial neural netwroks and svm, the sample of istanbul stock exchange.pdf -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/paper/Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/machine learning prediction/paper/Predicting stock and stock price index movement using Trend 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kernels.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/machine learning prediction/paper/The connection between regularization operators and support vector kernels.pdf -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/paper/Tutorial on Support Vector Machine (SVM) .pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/machine learning prediction/paper/Tutorial on Support Vector Machine (SVM) .pdf -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/paper/Using support vector machine with a hybrid feature selection method to the stock trend prediction.pdf: 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| 5 | @author: ZFang 6 | """ 7 | 8 | import pandas as pd 9 | import os 10 | import numpy as np 11 | from sklearn import svm 12 | import matplotlib.pyplot as plt 13 | import random 14 | from datetime import datetime 15 | from sklearn.neural_network import MLPClassifier 16 | from sklearn.model_selection import GridSearchCV 17 | from sklearn.model_selection import train_test_split, TimeSeriesSplit 18 | from sklearn.metrics import classification_report, accuracy_score, precision_score, recall_score 19 | from datetime import datetime 20 | import pandas_datareader.data as wb 21 | 22 | def get_etf(stocklist): 23 | start = datetime(2011,9,19) 24 | end = datetime(2016,12,1) 25 | p = wb.DataReader(stocklist,'yahoo',start,end) 26 | return_df = p['Adj Close'] 27 | return return_df 28 | 29 | 30 | def gen_df(dataframe): 31 | n = 10 32 | dataframe['SMA_10'] = dataframe['Adj Close'].rolling(window=n).mean() 33 | mo_arr = dataframe['Adj Close'][9:].values - dataframe['Adj Close'][:-9].values 34 | dataframe['Momentum'] = np.zeros(len(dataframe.index)) 35 | dataframe.loc[9:,'Momentum'] = mo_arr 36 | dataframe['LL'] = dataframe['Adj Close'].rolling(window=n).min() 37 | dataframe['HH'] = dataframe['Adj Close'].rolling(window=n).max() 38 | dataframe['stoch_K'] = 100 * (dataframe['Adj Close']- dataframe['LL'])/(dataframe['HH']- dataframe['LL']) 39 | for i in range(9,len(dataframe.index)): 40 | dataframe.loc[i,'WMA_10'] = (10*dataframe.loc[i,'Adj Close']+9*dataframe.loc[i-1,'Adj Close']+ 41 | 8*dataframe.loc[i-2,'Adj Close']+7*dataframe.loc[i-3,'Adj Close']+ 42 | 6*dataframe.loc[i-4,'Adj Close']+5*dataframe.loc[i-5,'Adj Close']+ 43 | 4*dataframe.loc[i-6,'Adj Close']+3*dataframe.loc[i-7,'Adj Close']+ 44 | 2*dataframe.loc[i-8,'Adj Close']+dataframe.loc[i-9,'Adj Close'])/sum(range(1,11,1)) 45 | dataframe['EMA_12'] = dataframe['Adj Close'].ewm(span=12).mean() 46 | dataframe['EMA_26'] = dataframe['Adj Close'].ewm(span=26).mean() 47 | dataframe['DIFF'] = dataframe['EMA_12'] - dataframe['EMA_26'] 48 | dataframe['MACD'] = np.zeros(len(dataframe.index)) 49 | dataframe['A/D'] = np.zeros(len(dataframe.index)) 50 | for i in range(1,len(dataframe.index)): 51 | dataframe.loc[i,'MACD'] = dataframe.loc[i-1,'MACD'] + 2/(n+1)*(dataframe.loc[i,'DIFF']-dataframe.loc[i-1,'MACD']) 52 | dataframe.loc[i,'A/D'] = (dataframe.loc[i,'High']-dataframe.loc[i-1,'Adj Close'])/(dataframe.loc[i,'High']-dataframe.loc[i,'Low']) 53 | 54 | return dataframe 55 | 56 | 57 | def gen_op_df(dataframe): 58 | op_df = pd.DataFrame(np.zeros((len(dataframe),10)), columns=['Date', 'SMA_10', 'Momentum', 59 | 'stoch_K', 'WMA_10', 'MACD', 'A/D', 'Volume', 'Adj Close', 'Adj Close Value']) 60 | op_df['Date'] = dataframe['Date'] 61 | op_df['Adj Close Value'] = dataframe['Adj Close'] 62 | op_df['Year'] = [datetime.strptime(i, '%m/%d/%Y').year for i in op_df['Date'].values] 63 | for i in range(10,len(dataframe.index)-1): 64 | op_df.loc[i,'SMA_10']=1 if (dataframe.loc[i,'Adj Close']>dataframe.loc[i,'SMA_10']) else 0 65 | op_df.loc[i,'WMA_10']=1 if (dataframe.loc[i,'Adj Close']>dataframe.loc[i,'WMA_10']) else 0 66 | op_df.loc[i,'MACD']=1 if (dataframe.loc[i,'MACD']>dataframe.loc[i-1,'MACD']) else 0 67 | op_df.loc[i,'stoch_K']=1 if (dataframe.loc[i,'stoch_K']>dataframe.loc[i-1,'stoch_K']) else 0 68 | op_df.loc[i,'Momentum']=1 if (dataframe.loc[i,'Momentum']>0) else 0 69 | op_df.loc[i,'A/D']=1 if (dataframe.loc[i,'A/D']>dataframe.loc[i-1,'A/D']) else 0 70 | op_df.loc[i,'Volume']=1 if (dataframe.loc[i,'Volume']>dataframe.loc[i-1,'Volume']) else 0 71 | op_df.loc[i,'Adj Close']=1 if (dataframe.loc[i+1,'Adj Close']/dataframe.loc[i,'Adj Close']>1) else 0 72 | # drop first 10 columns due to nan 73 | op_df = op_df[10:] 74 | op_df.index = range(len(op_df)) 75 | return op_df 76 | 77 | 78 | def tune_para(dataframe, i): 79 | 80 | # To apply an classifier on this data, we need to flatten the image, to 81 | # turn the data in a (samples, feature) matrix: 82 | columns = ['SMA_10','Momentum','stoch_K', 'WMA_10', 'MACD','A/D' , 'Volume'] 83 | X = dataframe[columns].as_matrix() 84 | y = dataframe['Adj Close'].as_matrix() 85 | 86 | X_train = X[i-200:i] 87 | y_train = y[i-200:i] 88 | X_test = X[i:i+1] 89 | y_test = y[i:i+1] 90 | 91 | 92 | ### Train four kinds of SVM model 93 | C = 1 # SVM regularization parameter 94 | svc = svm.SVC(cache_size = 1000, kernel='linear', C=C).fit(X_train, y_train) 95 | rbf_svc = svm.SVC(cache_size = 1000, kernel='rbf', gamma=0.7, C=C).fit(X_train, y_train) 96 | poly_svc = svm.SVC(cache_size = 1000, kernel='poly', degree=3, C=C).fit(X_train, y_train) 97 | lin_svc = svm.LinearSVC(loss='squared_hinge', penalty='l1', dual=False, C=C).fit(X_train, y_train) 98 | Y_result = y_test 99 | 100 | 101 | ### Make the prediction 102 | for i, clf in enumerate((svc, lin_svc, rbf_svc, poly_svc)): 103 | pred = clf.predict(X_test) 104 | Y_result = np.vstack((Y_result, np.array(pred))) # append prediction on Y_result 105 | return Y_result.T 106 | 107 | 108 | 109 | 110 | 111 | def para_svm(dataframe): 112 | ### Training and Testing Set 113 | random.seed(0) 114 | sample_index = random.sample(list(dataframe.index),int(1*len(dataframe.index))) 115 | para_index = random.sample(sample_index, int(0.5*len(sample_index))) 116 | op_df_train = dataframe.ix[para_index] 117 | op_df_holdout = dataframe.drop(para_index) 118 | columns = ['SMA_10','Momentum','stoch_K', 'WMA_10', 'MACD','A/D' , 'Volume'] 119 | X = op_df_train[columns].as_matrix() 120 | Y = op_df_train['Adj Close'].as_matrix() 121 | 122 | 123 | ### Train four kinds of SVM model 124 | C = 1 # SVM regularization parameter 125 | svc = svm.SVC(cache_size = 1000, kernel='linear', C=C).fit(X, Y) 126 | rbf_svc = svm.SVC(cache_size = 1000, kernel='rbf', gamma=0.7, C=C).fit(X, Y) 127 | poly_svc = svm.SVC(cache_size = 1000, kernel='poly', degree=3, C=C).fit(X, Y) 128 | lin_svc = svm.LinearSVC(loss='squared_hinge', penalty='l1', dual=False, C=C).fit(X, Y) 129 | 130 | X_holdout = op_df_holdout[columns].as_matrix() 131 | Y_holdout = op_df_holdout['Adj Close'].as_matrix() 132 | Z = pd.DataFrame(np.zeros((1,4)), columns = ['SVC with linear kernel','LinearSVC (linear kernel)', 133 | 'SVC with RBF kernel','SVC with polynomial']) 134 | Y_result = Y_holdout 135 | 136 | 137 | ### Make the prediction 138 | for i, clf in enumerate((svc, lin_svc, rbf_svc, poly_svc)): 139 | pred = clf.predict(X_holdout) 140 | Y_result = np.vstack((Y_result, np.array(pred))) # append prediction on Y_result 141 | Z.iloc[0,i] = sum(pred==Y_holdout)/len(pred) 142 | Y_result = Y_result.T 143 | return Z, Y_result 144 | 145 | 146 | def para_ann(dataframe): 147 | ### Training and Testing Set 148 | random.seed(0) 149 | sample_index = random.sample(list(dataframe.index),int(1*len(dataframe.index))) 150 | para_index = random.sample(sample_index, int(0.5*len(sample_index))) 151 | op_df_train = dataframe.ix[para_index] 152 | op_df_holdout = dataframe.drop(para_index) 153 | columns = ['SMA_10','Momentum','stoch_K', 'WMA_10', 'MACD','A/D' , 'Volume'] 154 | X = op_df_train[columns].as_matrix() 155 | Y = op_df_train['Adj Close'].as_matrix() 156 | 157 | ### ANN model 158 | lbfgs_ann = MLPClassifier(solver='lbfgs', alpha=1e-5,hidden_layer_sizes=(5, 2), random_state=1).fit(X,Y) 159 | X_holdout = op_df_holdout[columns].as_matrix() 160 | Y_holdout = op_df_holdout['Adj Close'].as_matrix() 161 | Z = pd.DataFrame(np.zeros((1,1)), columns = ['ANN with backpropagation']) 162 | Y_result = Y_holdout 163 | 164 | pred = lbfgs_ann.predict(X_holdout) 165 | Y_result = np.vstack((Y_result, np.array(pred))) 166 | Z.iloc[0,0] = sum(pred==Y_holdout)/len(pred) 167 | Y_result = Y_result.T 168 | return Z, Y_result 169 | 170 | 171 | 172 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/proj_main.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Fri Nov 11 12:19:14 2016 4 | 5 | @author: ZFang 6 | """ 7 | 8 | # -*- coding: utf-8 -*- 9 | 10 | import pandas as pd 11 | import os 12 | import numpy as np 13 | from sklearn import svm 14 | import matplotlib.pyplot as plt 15 | import random 16 | from datetime import datetime 17 | import proj_func as f 18 | 19 | 20 | if __name__ == '__main__': 21 | ### file path 22 | os.chdir(r'C:\Users\ZFang\Desktop\TeamCo\machine learning prediction\\') 23 | file_name = 'appl.csv' 24 | new_file_name = 'appl_op.csv' 25 | orig_df = pd.read_csv(file_name) 26 | 27 | ### Generate the columns, calculate the technical indactors 28 | ra_df = f.gen_df(orig_df) 29 | 30 | ### Generate opinion dataframe, which use (-1,1) to measure the upward and downward trend 31 | # op_df = f.gen_op_df(ra_df) 32 | # op_df.to_csv(new_file_name, index=True, header=True, index_label='index') 33 | 34 | op_df = pd.read_csv(new_file_name, index_col='index') 35 | 36 | result_arr = np.zeros((1,5)) 37 | accuracy_df_ann =pd.DataFrame(np.zeros((1,1)), columns = ['ANN with backpropagation']) 38 | 39 | 40 | for i in range(201, len(op_df.index)): 41 | Y_result = f.tune_para(op_df, i) 42 | result_arr = np.append(result_arr, Y_result, axis=0) 43 | Y_result_df = pd.DataFrame(result_arr, columns = ['True value', 'SVC with linear kernel','LinearSVC (linear kernel)', 'SVC with RBF kernel','SVC with polynomial']) 44 | 45 | # Calculate Accuracy 46 | Accuracy = pd.DataFrame(np.zeros((1,4)), columns = ['SVC with linear kernel','LinearSVC (linear kernel)', 47 | 'SVC with RBF kernel','SVC with polynomial']) 48 | for i in range(4): 49 | Accuracy.iloc[0,i] = sum(Y_result_df.iloc[:,0] == Y_result_df.iloc[:,i])/len(Y_result_df.iloc[:,0]) 50 | 51 | 52 | ''' 53 | j = 0 54 | for i in set(op_df['Year']): 55 | print("Year_%s" %i) 56 | yr_df = op_df[op_df['Year']==i] 57 | X_train, y_train, accuracy, precision, recall = f.tune_para(yr_df) 58 | result_df_svm.iloc[j,] = [accuracy, precision, recall] 59 | j += 1 60 | 61 | 62 | for i in set(op_df['Year']): 63 | yr_df = op_df[op_df['Year']==i] 64 | Z, Y_result = f.para_ann(yr_df) 65 | accuracy_df_ann = accuracy_df_ann.append(Z, ignore_index=True) 66 | 67 | 68 | ### Output 69 | writer = pd.ExcelWriter('result.xlsx', engine = 'xlsxwriter') 70 | pd.DataFrame(Y_result, columns = ['True value','SVC with linear kernel','LinearSVC (linear kernel)', 71 | 'SVC with RBF kernel','SVC with polynomial']).to_excel(writer, '%s' %'result') 72 | writer.save() 73 | 74 | ''' 75 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/result.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fzn0728/svm/e8a28c97e44577dd4a539503a5ffbd7865086ebc/Desktop/TeamCo/machine learning prediction/result.xlsx -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/svm_sample.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Mon Nov 7 13:57:04 2016 4 | 5 | @author: ZFang 6 | """ 7 | 8 | print(__doc__) 9 | 10 | import numpy as np 11 | import matplotlib.pyplot as plt 12 | from sklearn import svm, datasets 13 | 14 | 15 | iris = datasets.load_iris() 16 | X = iris.data[:,:2] 17 | 18 | y = iris.target 19 | 20 | h = .02 # step size in the mesh 21 | 22 | ## We create oan instance of SVM and fit out data. We do not scale our 23 | ## data since we want to plot the support vectors 24 | 25 | C = 1.0 # SVM regularization parameter 26 | svc = svm.SVC(kernel='linear', C=C).fit(X,y) 27 | rbf_svc = svm.SVC(kernel='rbf',gamma=0.7, C=C).fit(X,y) 28 | poly_svc = svm.SVC(kernel='poly', degree=3, C=C).fit(X,y) 29 | lin_svc = svm.LinearSVC(C=C).fit(X,y) 30 | 31 | # create a mesh to plot in 32 | x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1 33 | y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1 34 | 35 | xx,yy = np.meshgrid(np.arange(x_min, x_max, h), 36 | np.arange(y_min, y_max, h)) 37 | 38 | # title for the plots 39 | titles = ['SVC with linear kernel', 40 | 'LinearSVC (linear kernel)', 41 | 'SVC with RBF kernel', 42 | 'SVC with polynomial (degree 3) kernel'] 43 | 44 | for i, clf in enumerate((svc, lin_svc, rbf_svc, poly_svc)): 45 | plt.subplot(2,2,i+1) 46 | plt.subplots_adjust(wspace=0.4, hspace=0.4) 47 | 48 | Z = clf.predict(np.c_[xx.ravel(), yy.ravel()]) 49 | 50 | # Put the result into a color plot 51 | Z = Z.reshape(xx.shape) 52 | plt.contourf(xx,yy,Z,cmap=plt.cm.RdYlGn, alpha=0.8) 53 | 54 | # plot also the training poits 55 | plt.scatter(X[:, 0],X[:, 1],c=y, cmap=plt.cm.RdYlGn) 56 | plt.xlabel('Sepal length') 57 | plt.ylabel('Sepal width') 58 | plt.xlim(xx.min(), xx.max()) 59 | plt.ylim(yy.min(), yy.max()) 60 | plt.xticks(()) 61 | plt.yticks(()) 62 | plt.title(titles[i]) 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | -------------------------------------------------------------------------------- /Desktop/TeamCo/machine learning prediction/timeseriesslplit_sample.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | Created on Wed Nov 16 14:05:04 2016 4 | 5 | @author: ZFang 6 | """ 7 | import numpy as np 8 | from sklearn.model_selection import TimeSeriesSplit 9 | X = np.array([[1, 1], [1, 2], [2, 3], [4, 4]]) 10 | y = np.array([2, 3, 4, 5]) 11 | tscv = TimeSeriesSplit(n_splits=2) 12 | for train_index, test_index in tscv.split(X): 13 | print("TRAIN:", train_index, "TEST:", test_index) 14 | X_train, X_test = X[train_index], X[test_index] 15 | y_train, y_test = y[train_index], y[test_index] -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # svm 2 | SVM for stock/index prediction 3 | --------------------------------------------------------------------------------