4 |
5 | | Date | 127 |Action | 128 |Price | 129 |Investment | 130 |Balance | 131 |
|---|
2 |
3 |
4 |
5 |
7 | 
8 | 
9 | 
10 |
128 |
129 | 2. Moving-average agent, [moving-average-agent.ipynb](agent/2.moving-average-agent.ipynb)
130 |
131 | 
132 |
133 | 3. Signal rolling agent, [signal-rolling-agent.ipynb](agent/3.signal-rolling-agent.ipynb)
134 |
135 | 
136 |
137 | 4. Policy-gradient agent, [policy-gradient-agent.ipynb](agent/4.policy-gradient-agent.ipynb)
138 |
139 | 
140 |
141 | 5. Q-learning agent, [q-learning-agent.ipynb](agent/5.q-learning-agent.ipynb)
142 |
143 | 
144 |
145 | 6. Evolution-strategy agent, [evolution-strategy-agent.ipynb](agent/6.evolution-strategy-agent.ipynb)
146 |
147 | 
148 |
149 | 7. Double Q-learning agent, [double-q-learning-agent.ipynb](agent/7.double-q-learning-agent.ipynb)
150 |
151 | 
152 |
153 | 8. Recurrent Q-learning agent, [recurrent-q-learning-agent.ipynb](agent/8.recurrent-q-learning-agent.ipynb)
154 |
155 | 
156 |
157 | 9. Double Recurrent Q-learning agent, [double-recurrent-q-learning-agent.ipynb](agent/9.double-recurrent-q-learning-agent.ipynb)
158 |
159 | 
160 |
161 | 10. Duel Q-learning agent, [duel-q-learning-agent.ipynb](agent/10.duel-q-learning-agent.ipynb)
162 |
163 |
164 |
165 | 11. Double Duel Q-learning agent, [double-duel-q-learning-agent.ipynb](agent/11.double-duel-q-learning-agent.ipynb)
166 |
167 | 
168 |
169 | 12. Duel Recurrent Q-learning agent, [duel-recurrent-q-learning-agent.ipynb](agent/12.duel-recurrent-q-learning-agent.ipynb)
170 |
171 | 
172 |
173 | 13. Double Duel Recurrent Q-learning agent, [double-duel-recurrent-q-learning-agent.ipynb](agent/13.double-duel-recurrent-q-learning-agent.ipynb)
174 |
175 | 
176 |
177 | 14. Actor-critic agent, [actor-critic-agent.ipynb](agent/14.actor-critic-agent.ipynb)
178 |
179 | 
180 |
181 | 15. Actor-critic Duel agent, [actor-critic-duel-agent.ipynb](agent/14.actor-critic-duel-agent.ipynb)
182 |
183 | 
184 |
185 | 16. Actor-critic Recurrent agent, [actor-critic-recurrent-agent.ipynb](agent/16.actor-critic-recurrent-agent.ipynb)
186 |
187 | 
188 |
189 | 17. Actor-critic Duel Recurrent agent, [actor-critic-duel-recurrent-agent.ipynb](agent/17.actor-critic-duel-recurrent-agent.ipynb)
190 |
191 | 
192 |
193 | 18. Curiosity Q-learning agent, [curiosity-q-learning-agent.ipynb](agent/18.curiosity-q-learning-agent.ipynb)
194 |
195 | 
196 |
197 | 19. Recurrent Curiosity Q-learning agent, [recurrent-curiosity-q-learning.ipynb](agent/19.recurrent-curiosity-q-learning-agent.ipynb)
198 |
199 | 
200 |
201 | 20. Duel Curiosity Q-learning agent, [duel-curiosity-q-learning-agent.ipynb](agent/20.duel-curiosity-q-learning-agent.ipynb)
202 |
203 | 
204 |
205 | 21. Neuro-evolution agent, [neuro-evolution.ipynb](agent/21.neuro-evolution-agent.ipynb)
206 |
207 | 
208 |
209 | 22. Neuro-evolution with Novelty search agent, [neuro-evolution-novelty-search.ipynb](agent/22.neuro-evolution-novelty-search-agent.ipynb)
210 |
211 | 
212 |
213 | 23. ABCD strategy agent, [abcd-strategy.ipynb](agent/23.abcd-strategy-agent.ipynb)
214 |
215 | 
216 |
217 | ### Results free agent
218 |
219 | **This agent able to buy or sell N-units per transaction.**
220 |
221 | evolution strategy agent [evolution-strategy-agent.ipynb](free-agent/evolution-strategy-agent.ipynb)
222 |
223 | ```text
224 | total gained 11037.529911, total investment 110.375299 %
225 | ```
226 |
227 | evolution strategy with bayesian agent [evolution-strategy-bayesian-agent.ipynb](free-agent/evolution-strategy-bayesian-agent.ipynb)
228 |
229 | ```text
230 | total gained 13295.469683, total investment 132.954697 %
231 | ```
232 |
233 | 
234 |
235 | ### Results signal prediction
236 |
237 | _**Not included all, each notebooks already rendered the result.**_
238 |
239 | 1. LSTM Recurrent Neural Network
240 |
241 | 
242 |
243 | 2. LSTM Bidirectional Neural Network
244 |
245 | .png)
246 |
247 | 3. 2-Path LSTM Recurrent Neural Network
248 |
249 | 
250 |
251 | 4. Deep Feed-forward Auto-Encoder Neural Network to reduce dimension + Deep Recurrent Neural Network + ARIMA + Extreme Boosting Gradient Regressor
252 |
253 | 
254 |
255 | 5. LSTM Sequence-to-Sequence Recurrent Neural Network
256 |
257 | 
258 |
259 | 6. LSTM Sequence-to-Sequence with Attention Recurrent Neural Network
260 |
261 | 
262 |
263 | 7. LSTM Sequence-to-Sequence with Attention Bidirectional Recurrent Neural Network
264 |
265 | 
266 |
267 | 8. Encoder-Decoder Feed-forward + LSTM Recurrent Neural Network
268 |
269 | 
270 |
271 | 9. Adaboost + Bagging + Extra Trees + Gradient Boosting + Random Forest + XGB
272 |
273 | 
274 |
275 | ### Results analysis
276 |
277 | 1. Outliers study using K-means, SVM, and Gaussian on TESLA stock
278 |
279 | 
280 |
281 | 2. Overbought-Oversold study on TESLA stock
282 |
283 | 
284 |
285 | 3. Which stock you need to buy?
286 |
287 | 
288 |
289 | ### Results simulation
290 |
291 | 1. Stock market simulation using Monte Carlo
292 |
293 | 
294 |
295 | 2. Stock market simulation using Monte Carlo Markov Chain Metropolis-Hasting
296 |
297 | 
298 |
299 | 3. Portfolio optimization
300 |
301 | 
302 |
--------------------------------------------------------------------------------
/deep-learning/access.py:
--------------------------------------------------------------------------------
1 | # Copyright 2017 Google Inc.
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 | # ==============================================================================
15 | """DNC access modules."""
16 |
17 | from __future__ import absolute_import
18 | from __future__ import division
19 | from __future__ import print_function
20 |
21 | import collections
22 | import sonnet as snt
23 | import tensorflow as tf
24 |
25 | import addressing
26 | import util
27 |
28 | AccessState = collections.namedtuple('AccessState', (
29 | 'memory', 'read_weights', 'write_weights', 'linkage', 'usage'))
30 |
31 |
32 | def _erase_and_write(memory, address, reset_weights, values):
33 | """Module to erase and write in the external memory.
34 |
35 | Erase operation:
36 | M_t'(i) = M_{t-1}(i) * (1 - w_t(i) * e_t)
37 |
38 | Add operation:
39 | M_t(i) = M_t'(i) + w_t(i) * a_t
40 |
41 | where e are the reset_weights, w the write weights and a the values.
42 |
43 | Args:
44 | memory: 3-D tensor of shape `[batch_size, memory_size, word_size]`.
45 | address: 3-D tensor `[batch_size, num_writes, memory_size]`.
46 | reset_weights: 3-D tensor `[batch_size, num_writes, word_size]`.
47 | values: 3-D tensor `[batch_size, num_writes, word_size]`.
48 |
49 | Returns:
50 | 3-D tensor of shape `[batch_size, num_writes, word_size]`.
51 | """
52 | with tf.name_scope('erase_memory', values=[memory, address, reset_weights]):
53 | expand_address = tf.expand_dims(address, 3)
54 | reset_weights = tf.expand_dims(reset_weights, 2)
55 | weighted_resets = expand_address * reset_weights
56 | reset_gate = tf.reduce_prod(1 - weighted_resets, [1])
57 | memory *= reset_gate
58 |
59 | with tf.name_scope('additive_write', values=[memory, address, values]):
60 | add_matrix = tf.matmul(address, values, adjoint_a=True)
61 | memory += add_matrix
62 |
63 | return memory
64 |
65 |
66 | class MemoryAccess(snt.RNNCore):
67 | """Access module of the Differentiable Neural Computer.
68 |
69 | This memory module supports multiple read and write heads. It makes use of:
70 |
71 | * `addressing.TemporalLinkage` to track the temporal ordering of writes in
72 | memory for each write head.
73 | * `addressing.FreenessAllocator` for keeping track of memory usage, where
74 | usage increase when a memory location is written to, and decreases when
75 | memory is read from that the controller says can be freed.
76 |
77 | Write-address selection is done by an interpolation between content-based
78 | lookup and using unused memory.
79 |
80 | Read-address selection is done by an interpolation of content-based lookup
81 | and following the link graph in the forward or backwards read direction.
82 | """
83 |
84 | def __init__(self,
85 | memory_size=128,
86 | word_size=20,
87 | num_reads=1,
88 | num_writes=1,
89 | name='memory_access'):
90 | """Creates a MemoryAccess module.
91 |
92 | Args:
93 | memory_size: The number of memory slots (N in the DNC paper).
94 | word_size: The width of each memory slot (W in the DNC paper)
95 | num_reads: The number of read heads (R in the DNC paper).
96 | num_writes: The number of write heads (fixed at 1 in the paper).
97 | name: The name of the module.
98 | """
99 | super(MemoryAccess, self).__init__(name=name)
100 | self._memory_size = memory_size
101 | self._word_size = word_size
102 | self._num_reads = num_reads
103 | self._num_writes = num_writes
104 |
105 | self._write_content_weights_mod = addressing.CosineWeights(
106 | num_writes, word_size, name='write_content_weights')
107 | self._read_content_weights_mod = addressing.CosineWeights(
108 | num_reads, word_size, name='read_content_weights')
109 |
110 | self._linkage = addressing.TemporalLinkage(memory_size, num_writes)
111 | self._freeness = addressing.Freeness(memory_size)
112 |
113 | def _build(self, inputs, prev_state):
114 | """Connects the MemoryAccess module into the graph.
115 |
116 | Args:
117 | inputs: tensor of shape `[batch_size, input_size]`. This is used to
118 | control this access module.
119 | prev_state: Instance of `AccessState` containing the previous state.
120 |
121 | Returns:
122 | A tuple `(output, next_state)`, where `output` is a tensor of shape
123 | `[batch_size, num_reads, word_size]`, and `next_state` is the new
124 | `AccessState` named tuple at the current time t.
125 | """
126 | inputs = self._read_inputs(inputs)
127 |
128 | # Update usage using inputs['free_gate'] and previous read & write weights.
129 | usage = self._freeness(
130 | write_weights=prev_state.write_weights,
131 | free_gate=inputs['free_gate'],
132 | read_weights=prev_state.read_weights,
133 | prev_usage=prev_state.usage)
134 |
135 | # Write to memory.
136 | write_weights = self._write_weights(inputs, prev_state.memory, usage)
137 | memory = _erase_and_write(
138 | prev_state.memory,
139 | address=write_weights,
140 | reset_weights=inputs['erase_vectors'],
141 | values=inputs['write_vectors'])
142 |
143 | linkage_state = self._linkage(write_weights, prev_state.linkage)
144 |
145 | # Read from memory.
146 | read_weights = self._read_weights(
147 | inputs,
148 | memory=memory,
149 | prev_read_weights=prev_state.read_weights,
150 | link=linkage_state.link)
151 | read_words = tf.matmul(read_weights, memory)
152 |
153 | return (read_words, AccessState(
154 | memory=memory,
155 | read_weights=read_weights,
156 | write_weights=write_weights,
157 | linkage=linkage_state,
158 | usage=usage))
159 |
160 | def _read_inputs(self, inputs):
161 | """Applies transformations to `inputs` to get control for this module."""
162 |
163 | def _linear(first_dim, second_dim, name, activation=None):
164 | """Returns a linear transformation of `inputs`, followed by a reshape."""
165 | linear = snt.Linear(first_dim * second_dim, name=name)(inputs)
166 | if activation is not None:
167 | linear = activation(linear, name=name + '_activation')
168 | return tf.reshape(linear, [-1, first_dim, second_dim])
169 |
170 | # v_t^i - The vectors to write to memory, for each write head `i`.
171 | write_vectors = _linear(self._num_writes, self._word_size, 'write_vectors')
172 |
173 | # e_t^i - Amount to erase the memory by before writing, for each write head.
174 | erase_vectors = _linear(self._num_writes, self._word_size, 'erase_vectors',
175 | tf.sigmoid)
176 |
177 | # f_t^j - Amount that the memory at the locations read from at the previous
178 | # time step can be declared unused, for each read head `j`.
179 | free_gate = tf.sigmoid(
180 | snt.Linear(self._num_reads, name='free_gate')(inputs))
181 |
182 | # g_t^{a, i} - Interpolation between writing to unallocated memory and
183 | # content-based lookup, for each write head `i`. Note: `a` is simply used to
184 | # identify this gate with allocation vs writing (as defined below).
185 | allocation_gate = tf.sigmoid(
186 | snt.Linear(self._num_writes, name='allocation_gate')(inputs))
187 |
188 | # g_t^{w, i} - Overall gating of write amount for each write head.
189 | write_gate = tf.sigmoid(
190 | snt.Linear(self._num_writes, name='write_gate')(inputs))
191 |
192 | # \pi_t^j - Mixing between "backwards" and "forwards" positions (for
193 | # each write head), and content-based lookup, for each read head.
194 | num_read_modes = 1 + 2 * self._num_writes
195 | read_mode = snt.BatchApply(tf.nn.softmax)(
196 | _linear(self._num_reads, num_read_modes, name='read_mode'))
197 |
198 | # Parameters for the (read / write) "weights by content matching" modules.
199 | write_keys = _linear(self._num_writes, self._word_size, 'write_keys')
200 | write_strengths = snt.Linear(self._num_writes, name='write_strengths')(
201 | inputs)
202 |
203 | read_keys = _linear(self._num_reads, self._word_size, 'read_keys')
204 | read_strengths = snt.Linear(self._num_reads, name='read_strengths')(inputs)
205 |
206 | result = {
207 | 'read_content_keys': read_keys,
208 | 'read_content_strengths': read_strengths,
209 | 'write_content_keys': write_keys,
210 | 'write_content_strengths': write_strengths,
211 | 'write_vectors': write_vectors,
212 | 'erase_vectors': erase_vectors,
213 | 'free_gate': free_gate,
214 | 'allocation_gate': allocation_gate,
215 | 'write_gate': write_gate,
216 | 'read_mode': read_mode,
217 | }
218 | return result
219 |
220 | def _write_weights(self, inputs, memory, usage):
221 | """Calculates the memory locations to write to.
222 |
223 | This uses a combination of content-based lookup and finding an unused
224 | location in memory, for each write head.
225 |
226 | Args:
227 | inputs: Collection of inputs to the access module, including controls for
228 | how to chose memory writing, such as the content to look-up and the
229 | weighting between content-based and allocation-based addressing.
230 | memory: A tensor of shape `[batch_size, memory_size, word_size]`
231 | containing the current memory contents.
232 | usage: Current memory usage, which is a tensor of shape `[batch_size,
233 | memory_size]`, used for allocation-based addressing.
234 |
235 | Returns:
236 | tensor of shape `[batch_size, num_writes, memory_size]` indicating where
237 | to write to (if anywhere) for each write head.
238 | """
239 | with tf.name_scope('write_weights', values=[inputs, memory, usage]):
240 | # c_t^{w, i} - The content-based weights for each write head.
241 | write_content_weights = self._write_content_weights_mod(
242 | memory, inputs['write_content_keys'],
243 | inputs['write_content_strengths'])
244 |
245 | # a_t^i - The allocation weights for each write head.
246 | write_allocation_weights = self._freeness.write_allocation_weights(
247 | usage=usage,
248 | write_gates=(inputs['allocation_gate'] * inputs['write_gate']),
249 | num_writes=self._num_writes)
250 |
251 | # Expands gates over memory locations.
252 | allocation_gate = tf.expand_dims(inputs['allocation_gate'], -1)
253 | write_gate = tf.expand_dims(inputs['write_gate'], -1)
254 |
255 | # w_t^{w, i} - The write weightings for each write head.
256 | return write_gate * (allocation_gate * write_allocation_weights +
257 | (1 - allocation_gate) * write_content_weights)
258 |
259 | def _read_weights(self, inputs, memory, prev_read_weights, link):
260 | """Calculates read weights for each read head.
261 |
262 | The read weights are a combination of following the link graphs in the
263 | forward or backward directions from the previous read position, and doing
264 | content-based lookup. The interpolation between these different modes is
265 | done by `inputs['read_mode']`.
266 |
267 | Args:
268 | inputs: Controls for this access module. This contains the content-based
269 | keys to lookup, and the weightings for the different read modes.
270 | memory: A tensor of shape `[batch_size, memory_size, word_size]`
271 | containing the current memory contents to do content-based lookup.
272 | prev_read_weights: A tensor of shape `[batch_size, num_reads,
273 | memory_size]` containing the previous read locations.
274 | link: A tensor of shape `[batch_size, num_writes, memory_size,
275 | memory_size]` containing the temporal write transition graphs.
276 |
277 | Returns:
278 | A tensor of shape `[batch_size, num_reads, memory_size]` containing the
279 | read weights for each read head.
280 | """
281 | with tf.name_scope(
282 | 'read_weights', values=[inputs, memory, prev_read_weights, link]):
283 | # c_t^{r, i} - The content weightings for each read head.
284 | content_weights = self._read_content_weights_mod(
285 | memory, inputs['read_content_keys'], inputs['read_content_strengths'])
286 |
287 | # Calculates f_t^i and b_t^i.
288 | forward_weights = self._linkage.directional_read_weights(
289 | link, prev_read_weights, forward=True)
290 | backward_weights = self._linkage.directional_read_weights(
291 | link, prev_read_weights, forward=False)
292 |
293 | backward_mode = inputs['read_mode'][:, :, :self._num_writes]
294 | forward_mode = (
295 | inputs['read_mode'][:, :, self._num_writes:2 * self._num_writes])
296 | content_mode = inputs['read_mode'][:, :, 2 * self._num_writes]
297 |
298 | read_weights = (
299 | tf.expand_dims(content_mode, 2) * content_weights + tf.reduce_sum(
300 | tf.expand_dims(forward_mode, 3) * forward_weights, 2) +
301 | tf.reduce_sum(tf.expand_dims(backward_mode, 3) * backward_weights, 2))
302 |
303 | return read_weights
304 |
305 | @property
306 | def state_size(self):
307 | """Returns a tuple of the shape of the state tensors."""
308 | return AccessState(
309 | memory=tf.TensorShape([self._memory_size, self._word_size]),
310 | read_weights=tf.TensorShape([self._num_reads, self._memory_size]),
311 | write_weights=tf.TensorShape([self._num_writes, self._memory_size]),
312 | linkage=self._linkage.state_size,
313 | usage=self._freeness.state_size)
314 |
315 | @property
316 | def output_size(self):
317 | """Returns the output shape."""
318 | return tf.TensorShape([self._num_reads, self._word_size])
319 |
--------------------------------------------------------------------------------
/realtime-agent/app.py:
--------------------------------------------------------------------------------
1 | from flask import Flask, request, jsonify
2 | import numpy as np
3 | import pickle
4 | import json
5 | from sklearn.preprocessing import MinMaxScaler
6 | import pandas as pd
7 | from datetime import datetime
8 |
9 | app = Flask(__name__)
10 |
11 | window_size = 20
12 | skip = 1
13 | layer_size = 500
14 | output_size = 3
15 |
16 | def softmax(z):
17 | assert len(z.shape) == 2
18 | s = np.max(z, axis=1)
19 | s = s[:, np.newaxis]
20 | e_x = np.exp(z - s)
21 | div = np.sum(e_x, axis=1)
22 | div = div[:, np.newaxis]
23 | return e_x / div
24 |
25 | def get_state(parameters, t, window_size = 20):
26 | outside = []
27 | d = t - window_size + 1
28 | for parameter in parameters:
29 | block = (
30 | parameter[d : t + 1]
31 | if d >= 0
32 | else -d * [parameter[0]] + parameter[0 : t + 1]
33 | )
34 | res = []
35 | for i in range(window_size - 1):
36 | res.append(block[i + 1] - block[i])
37 | for i in range(1, window_size, 1):
38 | res.append(block[i] - block[0])
39 | outside.append(res)
40 | return np.array(outside).reshape((1, -1))
41 |
42 |
43 | class Deep_Evolution_Strategy:
44 |
45 | inputs = None
46 |
47 | def __init__(
48 | self, weights, reward_function, population_size, sigma, learning_rate
49 | ):
50 | self.weights = weights
51 | self.reward_function = reward_function
52 | self.population_size = population_size
53 | self.sigma = sigma
54 | self.learning_rate = learning_rate
55 |
56 | def _get_weight_from_population(self, weights, population):
57 | weights_population = []
58 | for index, i in enumerate(population):
59 | jittered = self.sigma * i
60 | weights_population.append(weights[index] + jittered)
61 | return weights_population
62 |
63 | def get_weights(self):
64 | return self.weights
65 |
66 | def train(self, epoch = 100, print_every = 1):
67 | lasttime = time.time()
68 | for i in range(epoch):
69 | population = []
70 | rewards = np.zeros(self.population_size)
71 | for k in range(self.population_size):
72 | x = []
73 | for w in self.weights:
74 | x.append(np.random.randn(*w.shape))
75 | population.append(x)
76 | for k in range(self.population_size):
77 | weights_population = self._get_weight_from_population(
78 | self.weights, population[k]
79 | )
80 | rewards[k] = self.reward_function(weights_population)
81 | rewards = (rewards - np.mean(rewards)) / (np.std(rewards) + 1e-7)
82 | for index, w in enumerate(self.weights):
83 | A = np.array([p[index] for p in population])
84 | self.weights[index] = (
85 | w
86 | + self.learning_rate
87 | / (self.population_size * self.sigma)
88 | * np.dot(A.T, rewards).T
89 | )
90 | if (i + 1) % print_every == 0:
91 | print(
92 | 'iter %d. reward: %f'
93 | % (i + 1, self.reward_function(self.weights))
94 | )
95 | print('time taken to train:', time.time() - lasttime, 'seconds')
96 |
97 | class Model:
98 |
99 | DROPOUT = 0.9
100 | def __init__(self, input_size, layer_size, output_size):
101 | self.weights = [
102 | np.random.normal(scale = 0.05, size = (input_size, layer_size)),
103 | np.random.normal(scale = 0.05, size = (layer_size, layer_size)),
104 | np.random.normal(scale = 0.05, size = (layer_size, output_size)),
105 | np.zeros((1, layer_size)),
106 | np.zeros((1, layer_size)),
107 | ]
108 |
109 | def predict(self, inputs):
110 | feed = np.dot(inputs, self.weights[0]) + self.weights[-2]
111 | feed = np.dot(feed, self.weights[1]) + self.weights[-1]
112 | decision = np.dot(feed, self.weights[2])
113 | return decision
114 |
115 | def get_weights(self):
116 | return self.weights
117 |
118 | def set_weights(self, weights):
119 | self.weights = weights
120 |
121 |
122 | class Agent:
123 |
124 | POPULATION_SIZE = 15
125 | SIGMA = 0.1
126 | LEARNING_RATE = 0.03
127 |
128 | def __init__(self, model, timeseries, skip, initial_money, real_trend, minmax):
129 | self.model = model
130 | self.timeseries = timeseries
131 | self.skip = skip
132 | self.real_trend = real_trend
133 | self.initial_money = initial_money
134 | self.es = Deep_Evolution_Strategy(
135 | self.model.get_weights(),
136 | self.get_reward,
137 | self.POPULATION_SIZE,
138 | self.SIGMA,
139 | self.LEARNING_RATE,
140 | )
141 | self.minmax = minmax
142 | self._initiate()
143 |
144 | def _initiate(self):
145 | # i assume first index is the close value
146 | self.trend = self.timeseries[0]
147 | self._mean = np.mean(self.trend)
148 | self._std = np.std(self.trend)
149 | self._inventory = []
150 | self._capital = self.initial_money
151 | self._queue = []
152 | self._scaled_capital = self.minmax.transform([[self._capital, 2]])[0, 0]
153 |
154 | def reset_capital(self, capital):
155 | if capital:
156 | self._capital = capital
157 | self._scaled_capital = self.minmax.transform([[self._capital, 2]])[0, 0]
158 | self._queue = []
159 | self._inventory = []
160 |
161 | def trade(self, data):
162 | """
163 | you need to make sure the data is [close, volume]
164 | """
165 | scaled_data = self.minmax.transform([data])[0]
166 | real_close = data[0]
167 | close = scaled_data[0]
168 | if len(self._queue) >= window_size:
169 | self._queue.pop(0)
170 | self._queue.append(scaled_data)
171 | if len(self._queue) < window_size:
172 | return {
173 | 'status': 'data not enough to trade',
174 | 'action': 'fail',
175 | 'balance': self._capital,
176 | 'timestamp': str(datetime.now()),
177 | }
178 | state = self.get_state(
179 | window_size - 1,
180 | self._inventory,
181 | self._scaled_capital,
182 | timeseries = np.array(self._queue).T.tolist(),
183 | )
184 | action, prob = self.act_softmax(state)
185 | print(prob)
186 | if action == 1 and self._scaled_capital >= close:
187 | self._inventory.append(close)
188 | self._scaled_capital -= close
189 | self._capital -= real_close
190 | return {
191 | 'status': 'buy 1 unit, cost %f' % (real_close),
192 | 'action': 'buy',
193 | 'balance': self._capital,
194 | 'timestamp': str(datetime.now()),
195 | }
196 | elif action == 2 and len(self._inventory):
197 | bought_price = self._inventory.pop(0)
198 | self._scaled_capital += close
199 | self._capital += real_close
200 | scaled_bought_price = self.minmax.inverse_transform(
201 | [[bought_price, 2]]
202 | )[0, 0]
203 | try:
204 | invest = (
205 | (real_close - scaled_bought_price) / scaled_bought_price
206 | ) * 100
207 | except:
208 | invest = 0
209 | return {
210 | 'status': 'sell 1 unit, price %f' % (real_close),
211 | 'investment': invest,
212 | 'gain': real_close - scaled_bought_price,
213 | 'balance': self._capital,
214 | 'action': 'sell',
215 | 'timestamp': str(datetime.now()),
216 | }
217 | else:
218 | return {
219 | 'status': 'do nothing',
220 | 'action': 'nothing',
221 | 'balance': self._capital,
222 | 'timestamp': str(datetime.now()),
223 | }
224 |
225 | def change_data(self, timeseries, skip, initial_money, real_trend, minmax):
226 | self.timeseries = timeseries
227 | self.skip = skip
228 | self.initial_money = initial_money
229 | self.real_trend = real_trend
230 | self.minmax = minmax
231 | self._initiate()
232 |
233 | def act(self, sequence):
234 | decision = self.model.predict(np.array(sequence))
235 |
236 | return np.argmax(decision[0])
237 |
238 | def act_softmax(self, sequence):
239 | decision = self.model.predict(np.array(sequence))
240 |
241 | return np.argmax(decision[0]), softmax(decision)[0]
242 |
243 | def get_state(self, t, inventory, capital, timeseries):
244 | state = get_state(timeseries, t)
245 | len_inventory = len(inventory)
246 | if len_inventory:
247 | mean_inventory = np.mean(inventory)
248 | else:
249 | mean_inventory = 0
250 | z_inventory = (mean_inventory - self._mean) / self._std
251 | z_capital = (capital - self._mean) / self._std
252 | concat_parameters = np.concatenate(
253 | [state, [[len_inventory, z_inventory, z_capital]]], axis = 1
254 | )
255 | return concat_parameters
256 |
257 | def get_reward(self, weights):
258 | initial_money = self._scaled_capital
259 | starting_money = initial_money
260 | invests = []
261 | self.model.weights = weights
262 | inventory = []
263 | state = self.get_state(0, inventory, starting_money, self.timeseries)
264 |
265 | for t in range(0, len(self.trend) - 1, self.skip):
266 | action = self.act(state)
267 | if action == 1 and starting_money >= self.trend[t]:
268 | inventory.append(self.trend[t])
269 | starting_money -= self.trend[t]
270 |
271 | elif action == 2 and len(inventory):
272 | bought_price = inventory.pop(0)
273 | starting_money += self.trend[t]
274 | invest = ((self.trend[t] - bought_price) / bought_price) * 100
275 | invests.append(invest)
276 |
277 | state = self.get_state(
278 | t + 1, inventory, starting_money, self.timeseries
279 | )
280 | invests = np.mean(invests)
281 | if np.isnan(invests):
282 | invests = 0
283 | score = (starting_money - initial_money) / initial_money * 100
284 | return invests * 0.7 + score * 0.3
285 |
286 | def fit(self, iterations, checkpoint):
287 | self.es.train(iterations, print_every = checkpoint)
288 |
289 | def buy(self):
290 | initial_money = self._scaled_capital
291 | starting_money = initial_money
292 |
293 | real_initial_money = self.initial_money
294 | real_starting_money = self.initial_money
295 | inventory = []
296 | real_inventory = []
297 | state = self.get_state(0, inventory, starting_money, self.timeseries)
298 | states_sell = []
299 | states_buy = []
300 |
301 | for t in range(0, len(self.trend) - 1, self.skip):
302 | action, prob = self.act_softmax(state)
303 | print(t, prob)
304 |
305 | if action == 1 and starting_money >= self.trend[t] and t < (len(self.trend) - 1 - window_size):
306 | inventory.append(self.trend[t])
307 | real_inventory.append(self.real_trend[t])
308 | real_starting_money -= self.real_trend[t]
309 | starting_money -= self.trend[t]
310 | states_buy.append(t)
311 | print(
312 | 'day %d: buy 1 unit at price %f, total balance %f'
313 | % (t, self.real_trend[t], real_starting_money)
314 | )
315 |
316 | elif action == 2 and len(inventory):
317 | bought_price = inventory.pop(0)
318 | real_bought_price = real_inventory.pop(0)
319 | starting_money += self.trend[t]
320 | real_starting_money += self.real_trend[t]
321 | states_sell.append(t)
322 | try:
323 | invest = (
324 | (self.real_trend[t] - real_bought_price)
325 | / real_bought_price
326 | ) * 100
327 | except:
328 | invest = 0
329 | print(
330 | 'day %d, sell 1 unit at price %f, investment %f %%, total balance %f,'
331 | % (t, self.real_trend[t], invest, real_starting_money)
332 | )
333 | state = self.get_state(
334 | t + 1, inventory, starting_money, self.timeseries
335 | )
336 |
337 | invest = (
338 | (real_starting_money - real_initial_money) / real_initial_money
339 | ) * 100
340 | total_gains = real_starting_money - real_initial_money
341 | return states_buy, states_sell, total_gains, invest
342 |
343 |
344 | with open('model.pkl', 'rb') as fopen:
345 | model = pickle.load(fopen)
346 |
347 | df = pd.read_csv('TWTR.csv')
348 | real_trend = df['Close'].tolist()
349 | parameters = [df['Close'].tolist(), df['Volume'].tolist()]
350 | minmax = MinMaxScaler(feature_range = (100, 200)).fit(np.array(parameters).T)
351 | scaled_parameters = minmax.transform(np.array(parameters).T).T.tolist()
352 | initial_money = np.max(parameters[0]) * 2
353 |
354 | agent = Agent(model = model,
355 | timeseries = scaled_parameters,
356 | skip = skip,
357 | initial_money = initial_money,
358 | real_trend = real_trend,
359 | minmax = minmax)
360 |
361 | @app.route('/', methods = ['GET'])
362 | def hello():
363 | return jsonify({'status': 'OK'})
364 |
365 |
366 | @app.route('/inventory', methods = ['GET'])
367 | def inventory():
368 | return jsonify(agent._inventory)
369 |
370 |
371 | @app.route('/queue', methods = ['GET'])
372 | def queue():
373 | return jsonify(agent._queue)
374 |
375 |
376 | @app.route('/balance', methods = ['GET'])
377 | def balance():
378 | return jsonify(agent._capital)
379 |
380 |
381 | @app.route('/trade', methods = ['GET'])
382 | def trade():
383 | data = json.loads(request.args.get('data'))
384 | return jsonify(agent.trade(data))
385 |
386 |
387 | @app.route('/reset', methods = ['GET'])
388 | def reset():
389 | money = json.loads(request.args.get('money'))
390 | agent.reset_capital(money)
391 | return jsonify(True)
392 |
393 |
394 | if __name__ == '__main__':
395 | app.run(host = '0.0.0.0', port = 8005)
396 |
--------------------------------------------------------------------------------
/dataset/MONDY.csv:
--------------------------------------------------------------------------------
1 | Date,Open,High,Low,Close,Adj Close,Volume
2 | 2018-07-13,56.889999,56.889999,56.889999,56.889999,54.963757,0
3 | 2018-07-16,56.639999,56.639999,56.639999,56.639999,54.722221,320
4 | 2018-07-17,57.730000,57.730000,57.730000,57.730000,55.775318,538
5 | 2018-07-18,57.810001,57.810001,57.810001,57.810001,55.852608,522
6 | 2018-07-19,56.700001,57.279999,52.380001,52.380001,50.606461,2047
7 | 2018-07-20,52.380001,52.380001,52.380001,52.380001,50.606461,0
8 | 2018-07-23,52.380001,52.380001,52.380001,52.380001,50.606461,0
9 | 2018-07-24,57.349998,57.349998,57.290001,57.290001,55.350212,349
10 | 2018-07-25,57.290001,57.290001,57.290001,57.290001,55.350212,0
11 | 2018-07-26,57.310001,57.509998,53.080002,57.509998,55.562763,728
12 | 2018-07-27,57.590000,57.590000,57.590000,57.590000,55.640057,357
13 | 2018-07-30,57.869999,57.869999,57.669998,57.669998,55.717346,294
14 | 2018-07-31,58.549999,58.549999,58.549999,58.549999,56.567551,398
15 | 2018-08-01,58.299999,58.590000,58.299999,58.590000,56.606197,451
16 | 2018-08-02,57.189999,57.189999,57.189999,57.189999,55.253601,294
17 | 2018-08-03,58.496101,58.496101,58.496101,58.496101,56.515476,663
18 | 2018-08-06,58.496101,58.496101,58.496101,58.496101,56.515476,0
19 | 2018-08-07,60.619999,60.619999,60.490002,60.490002,58.441868,638
20 | 2018-08-08,58.000000,58.000000,58.000000,58.000000,56.036175,302
21 | 2018-08-09,60.270000,60.470001,60.270000,60.470001,58.422546,1523
22 | 2018-08-10,58.110001,58.400002,58.110001,58.400002,56.422630,766
23 | 2018-08-13,57.770000,57.770000,56.000000,56.000000,54.103893,457
24 | 2018-08-14,56.950001,57.330002,56.950001,57.330002,55.388863,844
25 | 2018-08-15,57.330002,57.330002,57.330002,57.330002,55.388863,0
26 | 2018-08-16,56.020000,56.049999,55.900002,55.900002,54.007278,839
27 | 2018-08-17,56.439999,56.439999,56.439999,56.439999,54.528992,183
28 | 2018-08-20,56.439999,56.439999,56.439999,56.439999,54.528992,0
29 | 2018-08-21,56.439999,56.439999,56.439999,56.439999,54.528992,0
30 | 2018-08-22,58.380001,58.380001,58.380001,58.380001,56.403309,430
31 | 2018-08-23,57.410000,57.410000,57.410000,57.410000,55.942810,369
32 | 2018-08-24,57.810001,58.009998,55.750000,55.750000,54.325233,2546
33 | 2018-08-27,59.209999,59.209999,55.290001,55.290001,53.876991,657
34 | 2018-08-28,58.720001,58.720001,58.720001,58.720001,57.219334,970
35 | 2018-08-29,59.000000,59.000000,59.000000,59.000000,57.492176,1111
36 | 2018-08-30,57.049999,57.049999,55.709999,55.709999,54.286255,594
37 | 2018-08-31,55.689999,57.970001,55.689999,57.970001,56.488503,823
38 | 2018-09-04,57.869999,58.070000,57.869999,58.070000,56.585945,541
39 | 2018-09-05,58.070000,58.070000,58.070000,58.070000,56.585945,0
40 | 2018-09-06,57.320000,57.320000,57.320000,57.320000,55.855110,1033
41 | 2018-09-07,56.650002,56.650002,53.849998,53.849998,52.473789,411
42 | 2018-09-10,53.849998,53.849998,53.849998,53.849998,52.473789,0
43 | 2018-09-11,54.090000,54.090000,54.090000,54.090000,52.707657,361
44 | 2018-09-12,56.450001,56.650002,54.000000,54.000000,52.619957,915
45 | 2018-09-13,54.759998,57.250000,54.759998,57.250000,55.786900,530
46 | 2018-09-14,56.162498,58.360001,56.162498,58.360001,56.868534,541
47 | 2018-09-17,58.389999,58.590000,58.389999,58.590000,57.092655,422
48 | 2018-09-18,57.919998,58.119999,57.919998,58.119999,56.634666,534
49 | 2018-09-19,58.349998,58.349998,58.349998,58.349998,56.858788,155
50 | 2018-09-20,58.869999,59.070000,58.869999,59.070000,57.560387,355
51 | 2018-09-21,59.119999,59.320000,59.119999,59.320000,57.803997,552
52 | 2018-09-24,59.320000,59.320000,59.320000,59.320000,57.803997,0
53 | 2018-09-25,59.320000,59.320000,59.320000,59.320000,57.803997,0
54 | 2018-09-26,58.689999,58.889999,58.689999,58.889999,57.384987,607
55 | 2018-09-27,58.540001,58.540001,58.540001,58.540001,57.043934,393
56 | 2018-09-28,58.540001,58.540001,58.540001,58.540001,57.043934,0
57 | 2018-10-01,57.830002,57.849998,57.650002,57.650002,56.176678,610
58 | 2018-10-02,57.330002,57.330002,57.330002,57.330002,55.864857,191
59 | 2018-10-03,57.230000,57.230000,57.230000,57.230000,55.767410,628
60 | 2018-10-04,54.630001,54.630001,54.630001,54.630001,53.233860,181
61 | 2018-10-05,54.660000,54.860001,54.660000,54.860001,53.457981,280
62 | 2018-10-08,51.759998,54.430000,51.560001,54.430000,53.038971,884
63 | 2018-10-09,54.430000,54.430000,54.430000,54.430000,53.038971,0
64 | 2018-10-10,47.779999,49.470001,47.779999,47.779999,46.558918,503
65 | 2018-10-11,47.529999,49.630001,46.470001,49.630001,48.361641,3604
66 | 2018-10-12,46.130001,46.130001,46.130001,46.130001,44.951088,2170
67 | 2018-10-15,48.000000,48.349998,48.000000,48.349998,47.114349,934
68 | 2018-10-16,49.500000,49.500000,49.500000,49.500000,48.234962,213
69 | 2018-10-17,49.500000,49.500000,48.790001,48.790001,47.543106,489
70 | 2018-10-18,47.372002,47.372002,47.372002,47.372002,46.161346,275
71 | 2018-10-19,48.990002,48.990002,48.990002,48.990002,47.737999,352
72 | 2018-10-22,46.090000,48.730000,46.090000,48.730000,47.484638,723
73 | 2018-10-23,47.480000,47.480000,45.310001,45.310001,44.152042,341
74 | 2018-10-24,45.310001,45.310001,45.310001,45.310001,44.152042,0
75 | 2018-10-25,47.500000,47.500000,45.910000,45.910000,44.736710,506
76 | 2018-10-26,45.910000,45.910000,45.910000,45.910000,44.736710,0
77 | 2018-10-29,45.910000,45.910000,45.910000,45.910000,44.736710,0
78 | 2018-10-30,45.509998,45.509998,45.509998,45.509998,44.346931,497
79 | 2018-10-31,47.049999,47.049999,46.790001,46.790001,45.594219,591
80 | 2018-11-01,47.049999,47.049999,47.049999,47.049999,45.847572,349
81 | 2018-11-02,47.490002,47.500000,47.490002,47.494999,46.281200,1008
82 | 2018-11-05,48.959999,48.959999,48.959999,48.959999,47.708763,455
83 | 2018-11-06,50.000000,50.000000,47.540001,47.540001,46.325054,963
84 | 2018-11-07,47.790001,47.790001,47.790001,47.790001,46.568665,288
85 | 2018-11-08,47.790001,47.790001,47.790001,47.790001,46.568665,0
86 | 2018-11-09,47.360001,47.360001,47.360001,47.360001,46.149654,268
87 | 2018-11-12,44.029999,46.230000,43.880001,43.880001,42.758591,1785
88 | 2018-11-13,46.689999,46.689999,46.689999,46.689999,45.496773,1146
89 | 2018-11-14,47.779999,47.779999,47.779999,47.779999,46.558918,2250
90 | 2018-11-15,47.700001,47.700001,47.700001,47.700001,46.480965,626
91 | 2018-11-16,47.700001,47.700001,47.700001,47.700001,46.480965,0
92 | 2018-11-19,47.700001,47.700001,47.700001,47.700001,46.480965,0
93 | 2018-11-20,47.700001,47.700001,47.700001,47.700001,46.480965,0
94 | 2018-11-21,45.430000,47.950001,45.430000,47.950001,46.724575,590
95 | 2018-11-23,47.950001,47.950001,47.950001,47.950001,46.724575,0
96 | 2018-11-26,46.470001,46.470001,46.470001,46.470001,45.282398,427
97 | 2018-11-27,44.721401,45.910000,44.721401,45.910000,44.736710,934
98 | 2018-11-28,43.810001,43.810001,43.810001,43.810001,42.690380,1041
99 | 2018-11-29,46.049999,46.049999,46.049999,46.049999,44.873131,640
100 | 2018-11-30,44.520000,44.520000,42.740002,42.740002,41.647724,658
101 | 2018-12-03,46.330002,46.330002,44.650002,46.259998,45.077763,1756
102 | 2018-12-04,44.080002,44.080002,44.080002,44.080002,42.953480,802
103 | 2018-12-06,41.750000,43.169998,41.750000,43.169998,42.066730,1655
104 | 2018-12-07,41.950001,42.450001,41.110001,41.110001,40.059380,2218
105 | 2018-12-10,40.830002,42.189999,39.970001,39.970001,38.948513,1240
106 | 2018-12-11,41.340000,42.549999,40.650002,42.549999,41.462578,22122
107 | 2018-12-12,43.980000,43.990002,43.980000,43.990002,42.865780,681
108 | 2018-12-13,42.230000,42.230000,42.230000,42.230000,41.150757,487
109 | 2018-12-14,42.060001,42.060001,40.150002,40.150002,39.123917,653
110 | 2018-12-17,39.599998,40.709999,39.490002,40.709999,39.669601,12561
111 | 2018-12-18,39.570000,39.570000,39.570000,39.570000,38.558735,659
112 | 2018-12-19,42.330002,42.330002,42.130001,42.130001,41.053314,833
113 | 2018-12-20,39.639999,42.369999,39.639999,42.369999,41.287178,634
114 | 2018-12-21,41.840000,41.840000,41.840000,41.840000,40.770725,682
115 | 2018-12-24,42.380001,42.380001,42.380001,42.380001,41.296925,433
116 | 2018-12-26,42.380001,42.380001,42.380001,42.380001,41.296925,0
117 | 2018-12-27,41.340000,41.340000,41.340000,41.340000,40.283501,437
118 | 2018-12-28,41.340000,41.340000,41.340000,41.340000,40.283501,0
119 | 2018-12-31,44.299999,44.310001,44.189999,44.189999,43.060665,1769
120 | 2019-01-02,43.169998,43.630001,43.169998,43.630001,42.514980,662
121 | 2019-01-03,43.130001,43.130001,43.130001,43.130001,42.027756,303
122 | 2019-01-04,43.584702,43.584702,43.584702,43.584702,42.470837,13482
123 | 2019-01-07,45.169998,45.169998,45.160000,45.160000,44.005875,768
124 | 2019-01-08,45.410000,45.410000,45.410000,45.410000,44.249489,500
125 | 2019-01-09,45.410000,45.410000,45.410000,45.410000,44.249489,0
126 | 2019-01-10,45.410000,45.410000,45.410000,45.410000,44.249489,0
127 | 2019-01-11,46.500000,46.799999,46.500000,46.599998,45.409073,22858
128 | 2019-01-14,46.599998,46.799999,46.599998,46.799999,45.603962,2155
129 | 2019-01-15,46.799999,46.799999,46.799999,46.799999,45.603962,0
130 | 2019-01-16,46.799999,46.799999,46.799999,46.799999,45.603962,269
131 | 2019-01-17,49.349998,49.349998,49.349998,49.349998,48.088795,793
132 | 2019-01-18,49.509998,49.549999,49.509998,49.549999,48.283684,506
133 | 2019-01-22,47.119999,49.980000,47.119999,49.980000,48.702694,5183
134 | 2019-01-23,49.950001,50.099998,47.279999,50.090000,48.809883,2687
135 | 2019-01-24,49.360001,49.570000,49.360001,49.570000,48.303173,7566
136 | 2019-01-25,48.540001,51.139999,48.540001,51.139999,49.833050,668
137 | 2019-01-28,51.000000,51.000000,51.000000,51.000000,49.696629,1144
138 | 2019-01-29,51.660000,51.660000,51.459999,51.660000,50.339760,562
139 | 2019-01-30,52.110001,52.310001,51.750000,51.750000,50.427460,1681
140 | 2019-01-31,50.669998,50.900002,50.400002,50.900002,49.599186,1109
141 | 2019-02-01,49.794998,49.794998,49.794998,49.794998,48.522423,352
142 | 2019-02-04,51.049999,51.259998,51.049999,51.259998,49.949982,772
143 | 2019-02-05,51.250000,51.250000,51.250000,51.250000,49.940239,5765
144 | 2019-02-06,51.250000,51.250000,51.250000,51.250000,49.940239,0
145 | 2019-02-07,46.560001,46.560001,46.560001,46.560001,45.370098,543
146 | 2019-02-08,49.259998,49.650002,49.259998,49.650002,48.381130,741
147 | 2019-02-11,49.650002,49.650002,49.650002,49.650002,48.381130,0
148 | 2019-02-12,50.029999,50.029999,50.029999,50.029999,48.751415,261
149 | 2019-02-13,50.720001,50.919998,50.720001,50.919998,49.618671,551
150 | 2019-02-14,50.919998,50.919998,50.919998,50.919998,49.618671,0
151 | 2019-02-15,50.919998,50.919998,50.919998,50.919998,49.618671,0
152 | 2019-02-19,50.919998,50.919998,50.919998,50.919998,49.618671,0
153 | 2019-02-20,49.930000,49.930000,49.930000,49.930000,48.653973,339
154 | 2019-02-21,51.230000,51.230000,51.230000,51.230000,49.920750,200
155 | 2019-02-22,51.650002,51.919998,50.404999,51.919998,50.593113,756
156 | 2019-02-25,51.919998,51.919998,51.919998,51.919998,50.593113,0
157 | 2019-02-26,51.209999,52.520000,51.209999,52.520000,51.177784,614
158 | 2019-02-27,50.220001,50.220001,50.220001,50.220001,48.936562,151
159 | 2019-02-28,46.790001,48.320000,46.790001,48.320000,47.085117,460
160 | 2019-03-01,48.320000,48.320000,48.320000,48.320000,47.085117,0
161 | 2019-03-04,48.650002,48.650002,47.430000,47.430000,46.217865,639
162 | 2019-03-05,47.430000,47.430000,47.430000,47.430000,46.217865,0
163 | 2019-03-06,47.430000,47.430000,47.430000,47.430000,46.217865,0
164 | 2019-03-07,49.330002,49.400002,48.029999,49.400002,48.137520,1703
165 | 2019-03-08,49.400002,49.400002,49.400002,49.400002,48.137520,0
166 | 2019-03-11,49.400002,49.400002,49.400002,49.400002,48.137520,0
167 | 2019-03-12,49.400002,49.400002,49.400002,49.400002,48.137520,0
168 | 2019-03-13,49.400002,49.400002,49.400002,49.400002,48.137520,0
169 | 2019-03-14,48.619999,48.619999,48.619999,48.619999,47.377449,238
170 | 2019-03-15,46.810001,48.970001,46.810001,48.970001,47.718510,21435
171 | 2019-03-18,48.639999,49.060001,48.639999,49.060001,47.806210,3681
172 | 2019-03-19,48.395000,49.830002,48.060001,48.060001,46.831764,3475
173 | 2019-03-20,48.139999,49.820000,48.139999,48.750000,47.504128,2702
174 | 2019-03-21,48.549999,48.750000,47.500000,48.750000,47.504128,1842
175 | 2019-03-22,46.450001,46.450001,46.450001,46.450001,45.262909,7506
176 | 2019-03-25,46.910000,46.910000,43.840000,46.759998,45.564983,1482
177 | 2019-03-26,44.930000,46.060001,44.930000,46.060001,44.882877,284
178 | 2019-03-27,46.060001,46.060001,46.060001,46.060001,44.882877,0
179 | 2019-03-28,46.529999,46.529999,46.529999,46.529999,45.340862,369
180 | 2019-03-29,46.529999,46.529999,46.529999,46.529999,45.340862,0
181 | 2019-04-01,48.150002,48.150002,46.880001,46.880001,45.681919,2118
182 | 2019-04-02,46.880001,46.880001,46.880001,46.880001,45.681919,0
183 | 2019-04-03,48.310001,48.310001,47.139999,47.139999,45.935276,841
184 | 2019-04-04,46.549999,46.599998,46.400002,46.400002,45.214188,18054
185 | 2019-04-05,47.755001,48.970001,47.755001,48.970001,47.718510,923
186 | 2019-04-08,48.025002,48.025002,48.025002,48.025002,46.797661,229
187 | 2019-04-09,49.160000,49.160000,48.689999,48.689999,47.445660,407
188 | 2019-04-10,47.200001,47.200001,47.200001,47.200001,45.993744,664
189 | 2019-04-11,45.820000,45.820000,45.820000,45.820000,45.820000,352
190 | 2019-04-12,45.820000,45.820000,45.820000,45.820000,45.820000,0
191 | 2019-04-15,49.500000,49.680000,48.000000,49.680000,49.680000,1399
192 | 2019-04-16,46.689999,46.689999,46.689999,46.689999,46.689999,363
193 | 2019-04-17,45.389999,45.709999,44.827202,45.709999,45.709999,10278
194 | 2019-04-18,47.099998,47.099998,45.904999,45.950001,45.950001,764
195 | 2019-04-22,44.480000,44.480000,44.480000,44.480000,44.480000,299
196 | 2019-04-23,47.209999,47.209999,47.209999,47.209999,47.209999,518
197 | 2019-04-24,44.935001,44.935001,44.935001,44.935001,44.935001,448
198 | 2019-04-25,46.180000,46.180000,46.180000,46.180000,46.180000,383
199 | 2019-04-26,43.700001,45.990002,43.700001,45.990002,45.990002,337
200 | 2019-04-29,45.119999,45.119999,45.119999,45.119999,45.119999,325
201 | 2019-04-30,44.834999,44.834999,44.834999,44.834999,44.834999,371
202 | 2019-05-01,44.500000,44.500000,44.500000,44.500000,44.500000,837
203 | 2019-05-02,45.500000,45.500000,45.500000,45.500000,45.500000,512
204 | 2019-05-03,45.500000,45.500000,45.500000,45.500000,45.500000,336
205 | 2019-05-06,45.500000,45.500000,45.500000,45.500000,45.500000,377
206 | 2019-05-07,44.110001,44.110001,43.500000,43.500000,43.500000,1538
207 | 2019-05-08,42.299999,42.299999,42.299999,42.299999,42.299999,555
208 | 2019-05-09,44.900002,44.900002,43.980000,43.980000,43.980000,557
209 | 2019-05-10,42.779999,45.259998,42.779999,45.259998,45.259998,410
210 | 2019-05-13,44.700001,44.700001,44.700001,44.700001,44.700001,523
211 | 2019-05-14,42.299999,42.299999,42.299999,42.299999,42.299999,485
212 | 2019-05-15,42.259998,42.259998,42.259998,42.259998,42.259998,487
213 | 2019-05-16,42.259998,42.259998,42.259998,42.259998,42.259998,0
214 | 2019-05-17,45.900002,45.900002,45.900002,45.900002,45.900002,210
215 | 2019-05-20,43.500000,44.540001,43.500000,44.540001,44.540001,625
216 | 2019-05-21,44.500000,44.500000,44.500000,44.500000,44.500000,381
217 | 2019-05-22,43.435001,43.930000,43.435001,43.930000,43.930000,325
218 | 2019-05-23,44.500000,44.500000,44.430000,44.430000,44.430000,969
219 | 2019-05-24,43.470001,43.470001,43.299999,43.299999,43.299999,1168
220 | 2019-05-28,43.270000,43.270000,43.270000,43.270000,43.270000,368
221 | 2019-05-29,42.189999,42.189999,42.189999,42.189999,42.189999,490
222 | 2019-05-30,43.669998,43.669998,42.959999,42.959999,42.959999,392
223 | 2019-05-31,42.959999,42.959999,42.959999,42.959999,42.959999,0
224 | 2019-06-03,42.959999,42.959999,42.959999,42.959999,42.959999,0
225 | 2019-06-04,44.070000,44.070000,41.860001,41.860001,41.860001,1808
226 | 2019-06-05,44.000000,44.340000,44.000000,44.340000,44.340000,779
227 | 2019-06-06,41.500000,41.500000,41.500000,41.500000,41.500000,502
228 | 2019-06-07,44.000000,44.500000,44.000000,44.250000,44.250000,4369
229 | 2019-06-10,44.259998,44.259998,44.259998,44.259998,44.259998,2461
230 | 2019-06-11,44.000000,44.099998,44.000000,44.099998,44.099998,3424
231 | 2019-06-12,44.500000,44.500000,44.250000,44.500000,44.500000,1681
232 | 2019-06-13,46.000000,46.000000,45.000000,45.750000,45.750000,1551
233 | 2019-06-14,43.460999,45.189999,43.460999,45.189999,45.189999,6990
234 | 2019-06-17,45.369999,45.369999,44.000000,44.750000,44.750000,1353
235 | 2019-06-18,45.130001,45.130001,44.250000,44.250000,44.250000,734
236 | 2019-06-19,45.750000,46.000000,44.450001,46.000000,46.000000,811
237 | 2019-06-20,45.849998,45.849998,45.849998,45.849998,45.849998,553
238 | 2019-06-21,45.750000,45.799999,45.750000,45.799999,45.799999,2475
239 | 2019-06-24,46.000000,46.000000,46.000000,46.000000,46.000000,719
240 | 2019-06-25,46.369999,46.369999,46.299999,46.299999,46.299999,985
241 | 2019-06-26,46.369999,46.369999,45.759998,45.759998,45.759998,1021
242 | 2019-06-27,45.759998,45.759998,45.759998,45.759998,45.759998,0
243 | 2019-06-28,46.509998,46.509998,46.509998,46.509998,46.509998,6919
244 | 2019-07-01,46.509998,46.509998,46.509998,46.509998,46.509998,0
245 | 2019-07-02,46.310001,46.310001,44.860001,45.584999,45.584999,517
246 | 2019-07-03,46.400002,46.400002,46.400002,46.400002,46.400002,1750
247 | 2019-07-05,46.349998,46.400002,46.349998,46.400002,46.400002,422
248 | 2019-07-08,46.400002,46.400002,46.400002,46.400002,46.400002,0
249 | 2019-07-09,43.779999,43.779999,43.779999,43.779999,43.779999,610
250 | 2019-07-10,44.775002,45.770000,44.700001,45.770000,45.770000,2156
251 | 2019-07-11,42.860001,42.860001,42.860001,42.860001,42.860001,306
252 | 2019-07-12,44.984402,46.509998,44.984402,45.450001,45.450001,492057
253 |
--------------------------------------------------------------------------------
/dataset/FSV.csv:
--------------------------------------------------------------------------------
1 | Date,Open,High,Low,Close,Adj Close,Volume
2 | 2018-05-23,71.050003,71.910004,71.050003,71.620003,71.106422,13000
3 | 2018-05-24,71.870003,71.919998,71.300003,71.449997,70.937630,28000
4 | 2018-05-25,71.760002,71.889999,71.528000,71.879997,71.364548,11900
5 | 2018-05-29,71.510002,71.510002,70.610001,70.800003,70.292305,17400
6 | 2018-05-30,71.419998,71.419998,70.480003,70.720001,70.212875,48300
7 | 2018-05-31,70.730003,70.860001,70.300003,70.389999,69.885231,13700
8 | 2018-06-01,70.489998,70.730003,70.050003,70.430000,69.924950,17700
9 | 2018-06-04,70.500000,70.739998,70.459999,70.639999,70.133446,8400
10 | 2018-06-05,70.919998,71.489998,70.629997,70.980003,70.471008,10800
11 | 2018-06-06,71.120003,72.169998,71.120003,71.790001,71.275200,12000
12 | 2018-06-07,72.250000,72.250000,71.662003,72.120003,71.602829,14900
13 | 2018-06-08,72.349998,72.519997,71.955002,72.419998,71.900681,11200
14 | 2018-06-11,72.620003,73.610001,72.269997,73.449997,72.923286,12500
15 | 2018-06-12,73.323997,73.680000,72.949997,73.510002,72.982864,11300
16 | 2018-06-13,74.290001,74.290001,73.550003,74.160004,73.628197,36400
17 | 2018-06-14,73.919998,74.709999,73.629997,74.250000,73.717560,11100
18 | 2018-06-15,74.370003,74.470001,73.690002,73.739998,73.211212,13000
19 | 2018-06-18,73.440002,74.098999,73.080002,73.980003,73.449493,10000
20 | 2018-06-19,73.220001,73.660004,73.089996,73.309998,72.784302,13000
21 | 2018-06-20,72.930000,74.250000,72.930000,74.089996,73.558701,29200
22 | 2018-06-21,73.739998,74.349998,73.739998,74.099998,73.568634,16900
23 | 2018-06-22,73.720001,74.599998,73.720001,74.269997,73.737419,15300
24 | 2018-06-25,73.879997,74.220001,73.815002,74.029999,73.499138,13500
25 | 2018-06-26,73.540001,74.540001,73.540001,74.339996,73.806908,20500
26 | 2018-06-27,73.959999,74.389999,73.650002,73.849998,73.320427,13900
27 | 2018-06-28,74.629997,75.300003,74.379997,75.059998,74.658226,11700
28 | 2018-06-29,75.050003,76.320000,75.050003,76.040001,75.632980,25700
29 | 2018-07-02,75.000000,77.930000,75.000000,77.930000,77.512863,10500
30 | 2018-07-03,77.129997,77.849998,75.830002,76.160004,75.752335,80400
31 | 2018-07-05,76.129997,77.620003,75.959999,77.050003,76.637581,48400
32 | 2018-07-06,77.680000,77.970001,77.300003,77.559998,77.144836,22800
33 | 2018-07-09,77.550003,78.730003,77.462997,78.370003,77.950508,53800
34 | 2018-07-10,78.665001,79.269997,78.260002,78.309998,77.890823,67100
35 | 2018-07-11,78.599998,78.980003,78.110001,78.629997,78.209114,67700
36 | 2018-07-12,78.809998,80.790001,78.489998,80.680000,80.248138,74400
37 | 2018-07-13,80.570000,80.570000,78.559998,78.820000,78.398102,20300
38 | 2018-07-16,78.849998,78.849998,77.959000,78.250000,77.831154,16000
39 | 2018-07-17,78.349998,78.629997,77.800003,77.940002,77.522812,21700
40 | 2018-07-18,77.290001,78.099998,77.279999,77.940002,77.522812,15200
41 | 2018-07-19,77.870003,78.690002,77.830002,78.055000,77.637192,13500
42 | 2018-07-20,78.070000,79.209999,77.639999,78.959999,78.537346,17800
43 | 2018-07-23,78.949997,78.949997,78.044998,78.519997,78.099701,10700
44 | 2018-07-24,78.550003,78.559998,77.790001,78.480003,78.059921,21600
45 | 2018-07-25,79.190002,85.269997,79.150002,83.959999,83.510582,44800
46 | 2018-07-26,84.949997,86.050003,83.250000,85.099998,84.644478,22700
47 | 2018-07-27,85.320000,85.320000,83.010002,84.050003,83.600105,20200
48 | 2018-07-30,83.040001,83.430000,81.940002,82.269997,81.829620,20900
49 | 2018-07-31,82.459999,83.620003,82.260002,83.180000,82.734756,23700
50 | 2018-08-01,82.540001,83.739998,81.800003,82.889999,82.446312,17800
51 | 2018-08-02,82.879997,83.190002,81.900002,83.120003,82.675087,43100
52 | 2018-08-03,83.379997,83.489998,81.849998,82.190002,81.750053,16700
53 | 2018-08-06,83.800003,83.800003,82.040001,83.010002,82.565674,7200
54 | 2018-08-07,82.849998,82.849998,81.070000,81.330002,80.894661,16600
55 | 2018-08-08,80.930000,82.809998,80.930000,82.570000,82.128021,18100
56 | 2018-08-09,83.040001,83.139999,82.160004,82.209999,81.769951,18500
57 | 2018-08-10,82.199997,83.160004,81.510002,82.440002,81.998726,42100
58 | 2018-08-13,82.449997,84.389999,80.820000,81.720001,81.282578,17100
59 | 2018-08-14,81.540001,82.790001,81.440002,82.269997,81.829620,13000
60 | 2018-08-15,82.260002,82.389999,81.580002,82.139999,81.700325,16500
61 | 2018-08-16,82.199997,82.980003,82.199997,82.480003,82.038513,30500
62 | 2018-08-17,82.629997,86.440002,82.629997,85.370003,84.913040,67100
63 | 2018-08-20,86.059998,86.059998,84.620003,85.000000,84.545013,25800
64 | 2018-08-21,85.690002,86.129997,85.129997,86.040001,85.579445,16300
65 | 2018-08-22,86.029999,86.305000,85.620003,86.059998,85.599342,20500
66 | 2018-08-23,86.050003,86.224998,85.550003,85.629997,85.171638,18100
67 | 2018-08-24,86.209999,86.889999,85.750000,86.489998,86.027039,25000
68 | 2018-08-27,87.239998,87.989998,86.269997,87.720001,87.250458,31100
69 | 2018-08-28,88.139999,88.430000,87.230003,87.540001,87.071419,24500
70 | 2018-08-29,87.550003,90.205002,86.860001,87.290001,86.822762,32300
71 | 2018-08-30,87.169998,87.309998,86.169998,86.430000,85.967361,15100
72 | 2018-08-31,86.199997,86.199997,85.250000,85.860001,85.400414,23600
73 | 2018-09-04,86.089996,86.089996,83.879997,85.750000,85.291008,28200
74 | 2018-09-05,85.120003,86.010002,85.120003,85.680000,85.221382,20600
75 | 2018-09-06,86.510002,87.190002,85.709999,87.190002,86.723305,17500
76 | 2018-09-07,86.610001,87.540001,86.430000,86.690002,86.225975,7300
77 | 2018-09-10,87.059998,87.565002,86.674004,87.279999,86.812813,22700
78 | 2018-09-11,87.290001,87.440002,85.440002,85.940002,85.479988,18600
79 | 2018-09-12,86.860001,86.860001,85.680000,86.250000,85.788330,24400
80 | 2018-09-13,86.570000,86.739998,85.279999,85.570000,85.111969,14600
81 | 2018-09-14,85.199997,86.070000,85.183998,85.400002,84.942871,17800
82 | 2018-09-17,84.599998,85.769997,84.580002,85.430000,84.972717,9100
83 | 2018-09-18,85.699997,86.620003,85.570000,86.169998,85.708755,21900
84 | 2018-09-19,86.430000,86.430000,84.739998,84.790001,84.336143,17400
85 | 2018-09-20,85.180000,85.910004,84.860001,85.139999,84.684265,10900
86 | 2018-09-21,85.379997,85.379997,84.339996,84.889999,84.435608,16500
87 | 2018-09-24,84.860001,85.199997,84.629997,84.690002,84.236679,19500
88 | 2018-09-25,84.750000,85.000000,84.538002,84.900002,84.445549,32800
89 | 2018-09-26,84.820000,84.970001,82.639999,83.120003,82.675087,25900
90 | 2018-09-27,83.110001,83.698997,82.699997,83.589996,83.277817,21600
91 | 2018-09-28,83.820000,85.260002,83.820000,84.660004,84.343834,38200
92 | 2018-10-01,85.199997,86.080002,83.709999,84.150002,83.835732,20700
93 | 2018-10-02,84.110001,84.120003,82.855003,83.139999,82.829498,15000
94 | 2018-10-03,83.150002,83.550003,82.580002,83.000000,82.690025,15200
95 | 2018-10-04,83.454002,83.454002,82.010002,82.769997,82.460884,23900
96 | 2018-10-05,82.599998,83.250000,82.010002,82.470001,82.162010,12200
97 | 2018-10-08,82.139999,82.139999,80.879997,80.879997,80.577942,15100
98 | 2018-10-09,80.669998,81.720001,80.620003,80.839996,80.538086,56000
99 | 2018-10-10,80.849998,80.849998,78.449997,78.449997,78.157021,31100
100 | 2018-10-11,78.430000,79.389999,78.184998,78.620003,78.326385,21600
101 | 2018-10-12,79.449997,79.860001,78.315002,78.680000,78.386162,16300
102 | 2018-10-15,78.639999,79.089996,78.000000,78.320000,78.027504,20300
103 | 2018-10-16,79.180000,80.230003,79.000000,79.830002,79.531868,88500
104 | 2018-10-17,79.639999,80.080002,79.135002,79.589996,79.292755,98200
105 | 2018-10-18,78.980003,80.349998,78.980003,79.629997,79.332603,32900
106 | 2018-10-19,80.290001,81.949997,80.269997,81.430000,81.125893,23300
107 | 2018-10-22,81.940002,82.510002,81.370003,81.559998,81.255402,27400
108 | 2018-10-23,81.080002,81.080002,78.089996,78.470001,78.176941,24100
109 | 2018-10-24,77.720001,78.739998,74.750000,75.820000,75.536835,78400
110 | 2018-10-25,76.540001,76.540001,73.989998,74.440002,74.161995,30400
111 | 2018-10-26,73.279999,73.639999,72.059998,72.330002,72.059875,33400
112 | 2018-10-29,72.320000,72.779999,70.970001,71.190002,70.924133,31700
113 | 2018-10-30,70.750000,71.669998,70.750000,71.500000,71.232971,29100
114 | 2018-10-31,72.489998,74.010002,72.099998,73.400002,73.125885,91300
115 | 2018-11-01,74.199997,75.339996,72.790001,75.010002,74.729866,133600
116 | 2018-11-02,75.500000,75.760002,74.720001,75.339996,75.058632,138300
117 | 2018-11-05,75.330002,75.660004,73.900002,74.300003,74.022522,47400
118 | 2018-11-06,74.389999,74.889999,73.949997,74.699997,74.421021,22800
119 | 2018-11-07,75.169998,75.360001,74.540001,74.970001,74.690018,38900
120 | 2018-11-08,75.540001,75.570000,74.949997,75.260002,74.978935,11300
121 | 2018-11-09,75.239998,75.239998,73.894997,74.500000,74.221764,17000
122 | 2018-11-12,74.455002,74.629997,73.964996,74.349998,74.072327,81200
123 | 2018-11-13,74.339996,75.290001,73.760002,74.320000,74.042442,278800
124 | 2018-11-14,74.360001,74.900002,74.360001,74.540001,74.261620,30100
125 | 2018-11-15,74.274002,74.300003,72.379997,72.559998,72.289017,72200
126 | 2018-11-16,72.430000,73.410004,72.040001,73.290001,73.016296,48300
127 | 2018-11-19,73.589996,73.650002,72.849998,73.250000,72.976440,67000
128 | 2018-11-20,72.209999,73.190002,71.910004,72.790001,72.518158,75900
129 | 2018-11-21,72.800003,73.970001,72.419998,73.900002,73.624008,102500
130 | 2018-11-23,73.440002,73.720001,72.000000,73.160004,72.886780,14100
131 | 2018-11-26,73.209999,74.660004,73.209999,74.199997,73.922882,33800
132 | 2018-11-27,74.040001,74.290001,73.610001,74.070000,73.793373,35100
133 | 2018-11-28,74.080002,74.650002,73.709999,74.410004,74.132111,27500
134 | 2018-11-29,74.690002,75.385002,73.860001,74.870003,74.590393,28600
135 | 2018-11-30,74.879997,75.849998,74.669998,75.639999,75.357513,24900
136 | 2018-12-03,76.860001,77.820000,75.639999,77.650002,77.360008,34700
137 | 2018-12-04,77.639999,78.279999,75.764999,76.269997,75.985153,69500
138 | 2018-12-06,75.809998,75.930000,73.790001,75.930000,75.646423,49100
139 | 2018-12-07,75.919998,76.650002,74.209999,74.820000,74.540573,21500
140 | 2018-12-10,74.970001,74.989998,72.800003,73.089996,72.817032,28800
141 | 2018-12-11,73.459999,73.480003,72.599998,72.650002,72.378685,20600
142 | 2018-12-12,73.519997,73.760002,72.800003,72.919998,72.647667,18200
143 | 2018-12-13,72.540001,72.919998,71.529999,71.639999,71.372452,19200
144 | 2018-12-14,71.419998,71.419998,69.870003,70.550003,70.286522,37900
145 | 2018-12-17,69.989998,70.139999,66.930000,67.139999,66.889259,45600
146 | 2018-12-18,67.489998,69.160004,67.400002,68.440002,68.184402,78500
147 | 2018-12-19,68.430000,70.050003,68.080002,68.320000,68.064850,42600
148 | 2018-12-20,68.639999,68.639999,65.339996,65.769997,65.524368,40600
149 | 2018-12-21,65.730003,67.199997,65.029999,65.959999,65.713661,78100
150 | 2018-12-24,65.775002,66.610001,65.529999,66.410004,66.161987,39200
151 | 2018-12-26,67.019997,67.190002,65.279999,66.550003,66.301460,50800
152 | 2018-12-27,65.910004,67.239998,64.870003,67.169998,66.919144,33100
153 | 2018-12-28,67.629997,68.779999,67.589996,68.139999,68.022232,47700
154 | 2018-12-31,68.199997,68.860001,67.849998,68.480003,68.361649,44200
155 | 2019-01-02,68.250000,68.339996,66.834999,67.230003,67.113808,35100
156 | 2019-01-03,67.250000,67.599998,65.550003,66.080002,65.965797,29900
157 | 2019-01-04,66.320000,69.290001,66.320000,69.290001,69.170250,48800
158 | 2019-01-07,69.610001,71.559998,69.344002,71.199997,71.076942,26500
159 | 2019-01-08,71.269997,72.230003,71.269997,71.870003,71.745789,17200
160 | 2019-01-09,71.860001,72.720001,71.230003,72.660004,72.534424,21600
161 | 2019-01-10,73.000000,73.400002,72.349998,73.029999,72.903778,15700
162 | 2019-01-11,73.260002,73.279999,72.199997,72.860001,72.734077,70700
163 | 2019-01-14,72.470001,73.419998,72.139999,73.349998,73.223228,182300
164 | 2019-01-15,74.430000,74.430000,73.239998,73.790001,73.662468,27400
165 | 2019-01-16,74.250000,74.480003,73.622002,74.239998,74.111687,18200
166 | 2019-01-17,74.599998,75.680000,74.485001,75.430000,75.299637,34700
167 | 2019-01-18,75.510002,76.769997,75.360001,76.379997,76.247993,24100
168 | 2019-01-22,75.330002,76.790001,74.370003,76.790001,76.657288,60400
169 | 2019-01-23,77.239998,77.970001,77.190002,77.739998,77.605637,35000
170 | 2019-01-24,77.940002,78.760002,77.940002,78.589996,78.454170,11100
171 | 2019-01-25,78.839996,80.720001,78.839996,80.459999,80.320938,37300
172 | 2019-01-28,80.360001,81.190002,79.834999,80.589996,80.450714,29600
173 | 2019-01-29,80.580002,81.830002,80.360001,80.769997,80.630402,25600
174 | 2019-01-30,81.139999,81.209999,80.004997,80.940002,80.800117,21300
175 | 2019-01-31,80.980003,81.949997,80.779999,81.279999,81.139526,37200
176 | 2019-02-01,81.279999,82.029999,80.980003,81.709999,81.568779,64700
177 | 2019-02-04,81.720001,82.330002,81.430000,82.190002,82.047951,49500
178 | 2019-02-05,81.889999,83.769997,81.889999,83.480003,83.335724,23100
179 | 2019-02-06,83.750000,84.760002,83.019997,83.779999,83.635201,57900
180 | 2019-02-07,83.400002,84.849998,83.000000,83.889999,83.745010,46100
181 | 2019-02-08,84.160004,84.870003,83.809998,84.709999,84.563599,57000
182 | 2019-02-11,85.059998,85.300003,84.419998,84.769997,84.623489,57500
183 | 2019-02-12,85.440002,87.440002,85.254997,87.129997,86.979408,44700
184 | 2019-02-13,87.610001,89.169998,87.610001,88.629997,88.476822,34300
185 | 2019-02-14,88.239998,88.389999,87.019997,87.839996,87.688179,28100
186 | 2019-02-15,87.910004,87.910004,87.110001,87.260002,87.109192,43200
187 | 2019-02-19,87.650002,87.650002,86.040001,86.800003,86.649986,47400
188 | 2019-02-20,86.410004,87.839996,86.220001,87.620003,87.468567,34100
189 | 2019-02-21,87.779999,87.900002,87.150002,87.580002,87.428635,23300
190 | 2019-02-22,88.029999,88.400002,87.459999,88.290001,88.137413,29600
191 | 2019-02-25,88.519997,88.930000,87.059998,87.110001,86.959450,19700
192 | 2019-02-26,87.120003,87.910004,86.720001,87.639999,87.488533,29600
193 | 2019-02-27,87.589996,87.589996,86.584999,87.199997,87.049286,18400
194 | 2019-02-28,86.949997,87.059998,86.379997,86.839996,86.689911,32800
195 | 2019-03-01,87.150002,87.150002,85.660004,86.500000,86.350502,38600
196 | 2019-03-04,86.410004,87.510002,86.160004,87.019997,86.869598,32900
197 | 2019-03-05,86.900002,88.070000,86.820000,87.940002,87.788017,23600
198 | 2019-03-06,87.489998,87.489998,86.639999,87.059998,86.909531,25500
199 | 2019-03-07,87.410004,87.410004,86.040001,86.779999,86.630020,34000
200 | 2019-03-08,86.540001,86.750000,85.199997,85.570000,85.422112,24000
201 | 2019-03-11,85.949997,86.980003,85.010002,86.739998,86.590088,24100
202 | 2019-03-12,86.889999,86.889999,85.900002,86.650002,86.500244,13500
203 | 2019-03-13,86.720001,87.099998,83.680000,84.260002,84.114372,62500
204 | 2019-03-14,84.320000,85.510002,83.959999,85.269997,85.122627,51900
205 | 2019-03-15,85.150002,85.550003,83.910004,84.400002,84.254135,34300
206 | 2019-03-18,84.879997,85.230003,83.699997,84.260002,84.114372,32700
207 | 2019-03-19,84.849998,85.059998,83.980003,83.980003,83.834862,21700
208 | 2019-03-20,83.690002,84.330002,83.220001,83.970001,83.824875,43400
209 | 2019-03-21,84.050003,85.440002,83.940002,85.370003,85.222458,26700
210 | 2019-03-22,84.910004,85.150002,84.019997,84.019997,83.874786,30500
211 | 2019-03-25,83.900002,85.269997,83.400002,85.220001,85.072716,34400
212 | 2019-03-26,85.820000,86.019997,84.849998,85.809998,85.661690,31200
213 | 2019-03-27,85.029999,86.970001,85.029999,86.790001,86.639999,28800
214 | 2019-03-28,86.800003,88.084999,86.650002,87.699997,87.699997,22400
215 | 2019-03-29,88.419998,89.669998,87.699997,89.339996,89.339996,40500
216 | 2019-04-01,89.360001,89.949997,88.199997,89.620003,89.620003,42500
217 | 2019-04-02,89.919998,89.919998,88.300003,88.720001,88.720001,27600
218 | 2019-04-03,89.320000,89.320000,88.260002,88.449997,88.449997,25100
219 | 2019-04-04,88.889999,88.889999,87.930000,88.190002,88.190002,29400
220 | 2019-04-05,88.285004,88.430000,87.629997,88.070000,88.070000,23700
221 | 2019-04-08,88.070000,88.495003,87.199997,87.739998,87.739998,18700
222 | 2019-04-09,87.930000,88.360001,87.830002,88.070000,88.070000,24700
223 | 2019-04-10,88.430000,89.660004,88.120003,89.209999,89.209999,20900
224 | 2019-04-11,89.529999,89.529999,88.139999,88.300003,88.300003,21000
225 | 2019-04-12,88.139999,89.639999,88.092003,89.589996,89.589996,18500
226 | 2019-04-15,89.129997,89.779999,89.129997,89.389999,89.389999,20700
227 | 2019-04-16,89.639999,89.879997,88.139999,88.209999,88.209999,17200
228 | 2019-04-17,88.830002,88.830002,85.410004,86.480003,86.480003,53800
229 | 2019-04-18,86.470001,87.470001,85.800003,87.050003,87.050003,17400
230 | 2019-04-22,86.589996,87.849998,86.589996,87.419998,87.419998,14500
231 | 2019-04-23,86.830002,88.110001,86.639999,88.110001,88.110001,21200
232 | 2019-04-24,83.769997,87.589996,83.769997,87.269997,87.269997,34800
233 | 2019-04-25,87.070000,87.839996,86.925003,87.669998,87.669998,18500
234 | 2019-04-26,87.650002,87.769997,86.699997,86.970001,86.970001,22500
235 | 2019-04-29,86.550003,86.669998,83.019997,86.360001,86.360001,22800
236 | 2019-04-30,87.014000,87.349998,86.410004,87.220001,87.220001,33700
237 | 2019-05-01,88.141998,88.141998,86.985001,87.129997,87.129997,43100
238 | 2019-05-02,87.180000,87.474998,86.610001,87.379997,87.379997,26600
239 | 2019-05-03,87.449997,88.120003,87.449997,87.940002,87.940002,35600
240 | 2019-05-06,86.970001,87.800003,86.970001,87.620003,87.620003,28600
241 | 2019-05-07,86.419998,86.699997,85.970001,86.599998,86.599998,29300
242 | 2019-05-08,87.010002,87.010002,85.930000,86.379997,86.379997,50800
243 | 2019-05-09,85.919998,86.150002,85.476997,85.790001,85.790001,37400
244 | 2019-05-10,86.070000,86.889999,85.510002,86.889999,86.889999,63800
245 | 2019-05-13,86.309998,86.455002,85.169998,86.040001,86.040001,24400
246 | 2019-05-14,85.800003,86.370003,85.610001,86.070000,86.070000,34400
247 | 2019-05-15,86.489998,87.680000,85.690002,86.970001,86.970001,46700
248 | 2019-05-16,87.730003,89.209999,87.540001,89.010002,89.010002,51300
249 | 2019-05-17,89.029999,89.519997,87.110001,87.790001,87.790001,29900
250 | 2019-05-20,85.930000,89.010002,85.930000,86.620003,86.620003,19000
251 | 2019-05-21,87.959999,88.010002,86.089996,86.290001,86.290001,51600
252 | 2019-05-22,86.269997,86.480003,85.260002,86.129997,86.129997,49400
253 | 2019-05-23,88.639999,93.860001,88.014999,93.500000,93.500000,115185
254 |
--------------------------------------------------------------------------------
/realtime-agent/FSV.csv:
--------------------------------------------------------------------------------
1 | Date,Open,High,Low,Close,Adj Close,Volume
2 | 2018-05-23,71.050003,71.910004,71.050003,71.620003,71.106422,13000
3 | 2018-05-24,71.870003,71.919998,71.300003,71.449997,70.937630,28000
4 | 2018-05-25,71.760002,71.889999,71.528000,71.879997,71.364548,11900
5 | 2018-05-29,71.510002,71.510002,70.610001,70.800003,70.292305,17400
6 | 2018-05-30,71.419998,71.419998,70.480003,70.720001,70.212875,48300
7 | 2018-05-31,70.730003,70.860001,70.300003,70.389999,69.885231,13700
8 | 2018-06-01,70.489998,70.730003,70.050003,70.430000,69.924950,17700
9 | 2018-06-04,70.500000,70.739998,70.459999,70.639999,70.133446,8400
10 | 2018-06-05,70.919998,71.489998,70.629997,70.980003,70.471008,10800
11 | 2018-06-06,71.120003,72.169998,71.120003,71.790001,71.275200,12000
12 | 2018-06-07,72.250000,72.250000,71.662003,72.120003,71.602829,14900
13 | 2018-06-08,72.349998,72.519997,71.955002,72.419998,71.900681,11200
14 | 2018-06-11,72.620003,73.610001,72.269997,73.449997,72.923286,12500
15 | 2018-06-12,73.323997,73.680000,72.949997,73.510002,72.982864,11300
16 | 2018-06-13,74.290001,74.290001,73.550003,74.160004,73.628197,36400
17 | 2018-06-14,73.919998,74.709999,73.629997,74.250000,73.717560,11100
18 | 2018-06-15,74.370003,74.470001,73.690002,73.739998,73.211212,13000
19 | 2018-06-18,73.440002,74.098999,73.080002,73.980003,73.449493,10000
20 | 2018-06-19,73.220001,73.660004,73.089996,73.309998,72.784302,13000
21 | 2018-06-20,72.930000,74.250000,72.930000,74.089996,73.558701,29200
22 | 2018-06-21,73.739998,74.349998,73.739998,74.099998,73.568634,16900
23 | 2018-06-22,73.720001,74.599998,73.720001,74.269997,73.737419,15300
24 | 2018-06-25,73.879997,74.220001,73.815002,74.029999,73.499138,13500
25 | 2018-06-26,73.540001,74.540001,73.540001,74.339996,73.806908,20500
26 | 2018-06-27,73.959999,74.389999,73.650002,73.849998,73.320427,13900
27 | 2018-06-28,74.629997,75.300003,74.379997,75.059998,74.658226,11700
28 | 2018-06-29,75.050003,76.320000,75.050003,76.040001,75.632980,25700
29 | 2018-07-02,75.000000,77.930000,75.000000,77.930000,77.512863,10500
30 | 2018-07-03,77.129997,77.849998,75.830002,76.160004,75.752335,80400
31 | 2018-07-05,76.129997,77.620003,75.959999,77.050003,76.637581,48400
32 | 2018-07-06,77.680000,77.970001,77.300003,77.559998,77.144836,22800
33 | 2018-07-09,77.550003,78.730003,77.462997,78.370003,77.950508,53800
34 | 2018-07-10,78.665001,79.269997,78.260002,78.309998,77.890823,67100
35 | 2018-07-11,78.599998,78.980003,78.110001,78.629997,78.209114,67700
36 | 2018-07-12,78.809998,80.790001,78.489998,80.680000,80.248138,74400
37 | 2018-07-13,80.570000,80.570000,78.559998,78.820000,78.398102,20300
38 | 2018-07-16,78.849998,78.849998,77.959000,78.250000,77.831154,16000
39 | 2018-07-17,78.349998,78.629997,77.800003,77.940002,77.522812,21700
40 | 2018-07-18,77.290001,78.099998,77.279999,77.940002,77.522812,15200
41 | 2018-07-19,77.870003,78.690002,77.830002,78.055000,77.637192,13500
42 | 2018-07-20,78.070000,79.209999,77.639999,78.959999,78.537346,17800
43 | 2018-07-23,78.949997,78.949997,78.044998,78.519997,78.099701,10700
44 | 2018-07-24,78.550003,78.559998,77.790001,78.480003,78.059921,21600
45 | 2018-07-25,79.190002,85.269997,79.150002,83.959999,83.510582,44800
46 | 2018-07-26,84.949997,86.050003,83.250000,85.099998,84.644478,22700
47 | 2018-07-27,85.320000,85.320000,83.010002,84.050003,83.600105,20200
48 | 2018-07-30,83.040001,83.430000,81.940002,82.269997,81.829620,20900
49 | 2018-07-31,82.459999,83.620003,82.260002,83.180000,82.734756,23700
50 | 2018-08-01,82.540001,83.739998,81.800003,82.889999,82.446312,17800
51 | 2018-08-02,82.879997,83.190002,81.900002,83.120003,82.675087,43100
52 | 2018-08-03,83.379997,83.489998,81.849998,82.190002,81.750053,16700
53 | 2018-08-06,83.800003,83.800003,82.040001,83.010002,82.565674,7200
54 | 2018-08-07,82.849998,82.849998,81.070000,81.330002,80.894661,16600
55 | 2018-08-08,80.930000,82.809998,80.930000,82.570000,82.128021,18100
56 | 2018-08-09,83.040001,83.139999,82.160004,82.209999,81.769951,18500
57 | 2018-08-10,82.199997,83.160004,81.510002,82.440002,81.998726,42100
58 | 2018-08-13,82.449997,84.389999,80.820000,81.720001,81.282578,17100
59 | 2018-08-14,81.540001,82.790001,81.440002,82.269997,81.829620,13000
60 | 2018-08-15,82.260002,82.389999,81.580002,82.139999,81.700325,16500
61 | 2018-08-16,82.199997,82.980003,82.199997,82.480003,82.038513,30500
62 | 2018-08-17,82.629997,86.440002,82.629997,85.370003,84.913040,67100
63 | 2018-08-20,86.059998,86.059998,84.620003,85.000000,84.545013,25800
64 | 2018-08-21,85.690002,86.129997,85.129997,86.040001,85.579445,16300
65 | 2018-08-22,86.029999,86.305000,85.620003,86.059998,85.599342,20500
66 | 2018-08-23,86.050003,86.224998,85.550003,85.629997,85.171638,18100
67 | 2018-08-24,86.209999,86.889999,85.750000,86.489998,86.027039,25000
68 | 2018-08-27,87.239998,87.989998,86.269997,87.720001,87.250458,31100
69 | 2018-08-28,88.139999,88.430000,87.230003,87.540001,87.071419,24500
70 | 2018-08-29,87.550003,90.205002,86.860001,87.290001,86.822762,32300
71 | 2018-08-30,87.169998,87.309998,86.169998,86.430000,85.967361,15100
72 | 2018-08-31,86.199997,86.199997,85.250000,85.860001,85.400414,23600
73 | 2018-09-04,86.089996,86.089996,83.879997,85.750000,85.291008,28200
74 | 2018-09-05,85.120003,86.010002,85.120003,85.680000,85.221382,20600
75 | 2018-09-06,86.510002,87.190002,85.709999,87.190002,86.723305,17500
76 | 2018-09-07,86.610001,87.540001,86.430000,86.690002,86.225975,7300
77 | 2018-09-10,87.059998,87.565002,86.674004,87.279999,86.812813,22700
78 | 2018-09-11,87.290001,87.440002,85.440002,85.940002,85.479988,18600
79 | 2018-09-12,86.860001,86.860001,85.680000,86.250000,85.788330,24400
80 | 2018-09-13,86.570000,86.739998,85.279999,85.570000,85.111969,14600
81 | 2018-09-14,85.199997,86.070000,85.183998,85.400002,84.942871,17800
82 | 2018-09-17,84.599998,85.769997,84.580002,85.430000,84.972717,9100
83 | 2018-09-18,85.699997,86.620003,85.570000,86.169998,85.708755,21900
84 | 2018-09-19,86.430000,86.430000,84.739998,84.790001,84.336143,17400
85 | 2018-09-20,85.180000,85.910004,84.860001,85.139999,84.684265,10900
86 | 2018-09-21,85.379997,85.379997,84.339996,84.889999,84.435608,16500
87 | 2018-09-24,84.860001,85.199997,84.629997,84.690002,84.236679,19500
88 | 2018-09-25,84.750000,85.000000,84.538002,84.900002,84.445549,32800
89 | 2018-09-26,84.820000,84.970001,82.639999,83.120003,82.675087,25900
90 | 2018-09-27,83.110001,83.698997,82.699997,83.589996,83.277817,21600
91 | 2018-09-28,83.820000,85.260002,83.820000,84.660004,84.343834,38200
92 | 2018-10-01,85.199997,86.080002,83.709999,84.150002,83.835732,20700
93 | 2018-10-02,84.110001,84.120003,82.855003,83.139999,82.829498,15000
94 | 2018-10-03,83.150002,83.550003,82.580002,83.000000,82.690025,15200
95 | 2018-10-04,83.454002,83.454002,82.010002,82.769997,82.460884,23900
96 | 2018-10-05,82.599998,83.250000,82.010002,82.470001,82.162010,12200
97 | 2018-10-08,82.139999,82.139999,80.879997,80.879997,80.577942,15100
98 | 2018-10-09,80.669998,81.720001,80.620003,80.839996,80.538086,56000
99 | 2018-10-10,80.849998,80.849998,78.449997,78.449997,78.157021,31100
100 | 2018-10-11,78.430000,79.389999,78.184998,78.620003,78.326385,21600
101 | 2018-10-12,79.449997,79.860001,78.315002,78.680000,78.386162,16300
102 | 2018-10-15,78.639999,79.089996,78.000000,78.320000,78.027504,20300
103 | 2018-10-16,79.180000,80.230003,79.000000,79.830002,79.531868,88500
104 | 2018-10-17,79.639999,80.080002,79.135002,79.589996,79.292755,98200
105 | 2018-10-18,78.980003,80.349998,78.980003,79.629997,79.332603,32900
106 | 2018-10-19,80.290001,81.949997,80.269997,81.430000,81.125893,23300
107 | 2018-10-22,81.940002,82.510002,81.370003,81.559998,81.255402,27400
108 | 2018-10-23,81.080002,81.080002,78.089996,78.470001,78.176941,24100
109 | 2018-10-24,77.720001,78.739998,74.750000,75.820000,75.536835,78400
110 | 2018-10-25,76.540001,76.540001,73.989998,74.440002,74.161995,30400
111 | 2018-10-26,73.279999,73.639999,72.059998,72.330002,72.059875,33400
112 | 2018-10-29,72.320000,72.779999,70.970001,71.190002,70.924133,31700
113 | 2018-10-30,70.750000,71.669998,70.750000,71.500000,71.232971,29100
114 | 2018-10-31,72.489998,74.010002,72.099998,73.400002,73.125885,91300
115 | 2018-11-01,74.199997,75.339996,72.790001,75.010002,74.729866,133600
116 | 2018-11-02,75.500000,75.760002,74.720001,75.339996,75.058632,138300
117 | 2018-11-05,75.330002,75.660004,73.900002,74.300003,74.022522,47400
118 | 2018-11-06,74.389999,74.889999,73.949997,74.699997,74.421021,22800
119 | 2018-11-07,75.169998,75.360001,74.540001,74.970001,74.690018,38900
120 | 2018-11-08,75.540001,75.570000,74.949997,75.260002,74.978935,11300
121 | 2018-11-09,75.239998,75.239998,73.894997,74.500000,74.221764,17000
122 | 2018-11-12,74.455002,74.629997,73.964996,74.349998,74.072327,81200
123 | 2018-11-13,74.339996,75.290001,73.760002,74.320000,74.042442,278800
124 | 2018-11-14,74.360001,74.900002,74.360001,74.540001,74.261620,30100
125 | 2018-11-15,74.274002,74.300003,72.379997,72.559998,72.289017,72200
126 | 2018-11-16,72.430000,73.410004,72.040001,73.290001,73.016296,48300
127 | 2018-11-19,73.589996,73.650002,72.849998,73.250000,72.976440,67000
128 | 2018-11-20,72.209999,73.190002,71.910004,72.790001,72.518158,75900
129 | 2018-11-21,72.800003,73.970001,72.419998,73.900002,73.624008,102500
130 | 2018-11-23,73.440002,73.720001,72.000000,73.160004,72.886780,14100
131 | 2018-11-26,73.209999,74.660004,73.209999,74.199997,73.922882,33800
132 | 2018-11-27,74.040001,74.290001,73.610001,74.070000,73.793373,35100
133 | 2018-11-28,74.080002,74.650002,73.709999,74.410004,74.132111,27500
134 | 2018-11-29,74.690002,75.385002,73.860001,74.870003,74.590393,28600
135 | 2018-11-30,74.879997,75.849998,74.669998,75.639999,75.357513,24900
136 | 2018-12-03,76.860001,77.820000,75.639999,77.650002,77.360008,34700
137 | 2018-12-04,77.639999,78.279999,75.764999,76.269997,75.985153,69500
138 | 2018-12-06,75.809998,75.930000,73.790001,75.930000,75.646423,49100
139 | 2018-12-07,75.919998,76.650002,74.209999,74.820000,74.540573,21500
140 | 2018-12-10,74.970001,74.989998,72.800003,73.089996,72.817032,28800
141 | 2018-12-11,73.459999,73.480003,72.599998,72.650002,72.378685,20600
142 | 2018-12-12,73.519997,73.760002,72.800003,72.919998,72.647667,18200
143 | 2018-12-13,72.540001,72.919998,71.529999,71.639999,71.372452,19200
144 | 2018-12-14,71.419998,71.419998,69.870003,70.550003,70.286522,37900
145 | 2018-12-17,69.989998,70.139999,66.930000,67.139999,66.889259,45600
146 | 2018-12-18,67.489998,69.160004,67.400002,68.440002,68.184402,78500
147 | 2018-12-19,68.430000,70.050003,68.080002,68.320000,68.064850,42600
148 | 2018-12-20,68.639999,68.639999,65.339996,65.769997,65.524368,40600
149 | 2018-12-21,65.730003,67.199997,65.029999,65.959999,65.713661,78100
150 | 2018-12-24,65.775002,66.610001,65.529999,66.410004,66.161987,39200
151 | 2018-12-26,67.019997,67.190002,65.279999,66.550003,66.301460,50800
152 | 2018-12-27,65.910004,67.239998,64.870003,67.169998,66.919144,33100
153 | 2018-12-28,67.629997,68.779999,67.589996,68.139999,68.022232,47700
154 | 2018-12-31,68.199997,68.860001,67.849998,68.480003,68.361649,44200
155 | 2019-01-02,68.250000,68.339996,66.834999,67.230003,67.113808,35100
156 | 2019-01-03,67.250000,67.599998,65.550003,66.080002,65.965797,29900
157 | 2019-01-04,66.320000,69.290001,66.320000,69.290001,69.170250,48800
158 | 2019-01-07,69.610001,71.559998,69.344002,71.199997,71.076942,26500
159 | 2019-01-08,71.269997,72.230003,71.269997,71.870003,71.745789,17200
160 | 2019-01-09,71.860001,72.720001,71.230003,72.660004,72.534424,21600
161 | 2019-01-10,73.000000,73.400002,72.349998,73.029999,72.903778,15700
162 | 2019-01-11,73.260002,73.279999,72.199997,72.860001,72.734077,70700
163 | 2019-01-14,72.470001,73.419998,72.139999,73.349998,73.223228,182300
164 | 2019-01-15,74.430000,74.430000,73.239998,73.790001,73.662468,27400
165 | 2019-01-16,74.250000,74.480003,73.622002,74.239998,74.111687,18200
166 | 2019-01-17,74.599998,75.680000,74.485001,75.430000,75.299637,34700
167 | 2019-01-18,75.510002,76.769997,75.360001,76.379997,76.247993,24100
168 | 2019-01-22,75.330002,76.790001,74.370003,76.790001,76.657288,60400
169 | 2019-01-23,77.239998,77.970001,77.190002,77.739998,77.605637,35000
170 | 2019-01-24,77.940002,78.760002,77.940002,78.589996,78.454170,11100
171 | 2019-01-25,78.839996,80.720001,78.839996,80.459999,80.320938,37300
172 | 2019-01-28,80.360001,81.190002,79.834999,80.589996,80.450714,29600
173 | 2019-01-29,80.580002,81.830002,80.360001,80.769997,80.630402,25600
174 | 2019-01-30,81.139999,81.209999,80.004997,80.940002,80.800117,21300
175 | 2019-01-31,80.980003,81.949997,80.779999,81.279999,81.139526,37200
176 | 2019-02-01,81.279999,82.029999,80.980003,81.709999,81.568779,64700
177 | 2019-02-04,81.720001,82.330002,81.430000,82.190002,82.047951,49500
178 | 2019-02-05,81.889999,83.769997,81.889999,83.480003,83.335724,23100
179 | 2019-02-06,83.750000,84.760002,83.019997,83.779999,83.635201,57900
180 | 2019-02-07,83.400002,84.849998,83.000000,83.889999,83.745010,46100
181 | 2019-02-08,84.160004,84.870003,83.809998,84.709999,84.563599,57000
182 | 2019-02-11,85.059998,85.300003,84.419998,84.769997,84.623489,57500
183 | 2019-02-12,85.440002,87.440002,85.254997,87.129997,86.979408,44700
184 | 2019-02-13,87.610001,89.169998,87.610001,88.629997,88.476822,34300
185 | 2019-02-14,88.239998,88.389999,87.019997,87.839996,87.688179,28100
186 | 2019-02-15,87.910004,87.910004,87.110001,87.260002,87.109192,43200
187 | 2019-02-19,87.650002,87.650002,86.040001,86.800003,86.649986,47400
188 | 2019-02-20,86.410004,87.839996,86.220001,87.620003,87.468567,34100
189 | 2019-02-21,87.779999,87.900002,87.150002,87.580002,87.428635,23300
190 | 2019-02-22,88.029999,88.400002,87.459999,88.290001,88.137413,29600
191 | 2019-02-25,88.519997,88.930000,87.059998,87.110001,86.959450,19700
192 | 2019-02-26,87.120003,87.910004,86.720001,87.639999,87.488533,29600
193 | 2019-02-27,87.589996,87.589996,86.584999,87.199997,87.049286,18400
194 | 2019-02-28,86.949997,87.059998,86.379997,86.839996,86.689911,32800
195 | 2019-03-01,87.150002,87.150002,85.660004,86.500000,86.350502,38600
196 | 2019-03-04,86.410004,87.510002,86.160004,87.019997,86.869598,32900
197 | 2019-03-05,86.900002,88.070000,86.820000,87.940002,87.788017,23600
198 | 2019-03-06,87.489998,87.489998,86.639999,87.059998,86.909531,25500
199 | 2019-03-07,87.410004,87.410004,86.040001,86.779999,86.630020,34000
200 | 2019-03-08,86.540001,86.750000,85.199997,85.570000,85.422112,24000
201 | 2019-03-11,85.949997,86.980003,85.010002,86.739998,86.590088,24100
202 | 2019-03-12,86.889999,86.889999,85.900002,86.650002,86.500244,13500
203 | 2019-03-13,86.720001,87.099998,83.680000,84.260002,84.114372,62500
204 | 2019-03-14,84.320000,85.510002,83.959999,85.269997,85.122627,51900
205 | 2019-03-15,85.150002,85.550003,83.910004,84.400002,84.254135,34300
206 | 2019-03-18,84.879997,85.230003,83.699997,84.260002,84.114372,32700
207 | 2019-03-19,84.849998,85.059998,83.980003,83.980003,83.834862,21700
208 | 2019-03-20,83.690002,84.330002,83.220001,83.970001,83.824875,43400
209 | 2019-03-21,84.050003,85.440002,83.940002,85.370003,85.222458,26700
210 | 2019-03-22,84.910004,85.150002,84.019997,84.019997,83.874786,30500
211 | 2019-03-25,83.900002,85.269997,83.400002,85.220001,85.072716,34400
212 | 2019-03-26,85.820000,86.019997,84.849998,85.809998,85.661690,31200
213 | 2019-03-27,85.029999,86.970001,85.029999,86.790001,86.639999,28800
214 | 2019-03-28,86.800003,88.084999,86.650002,87.699997,87.699997,22400
215 | 2019-03-29,88.419998,89.669998,87.699997,89.339996,89.339996,40500
216 | 2019-04-01,89.360001,89.949997,88.199997,89.620003,89.620003,42500
217 | 2019-04-02,89.919998,89.919998,88.300003,88.720001,88.720001,27600
218 | 2019-04-03,89.320000,89.320000,88.260002,88.449997,88.449997,25100
219 | 2019-04-04,88.889999,88.889999,87.930000,88.190002,88.190002,29400
220 | 2019-04-05,88.285004,88.430000,87.629997,88.070000,88.070000,23700
221 | 2019-04-08,88.070000,88.495003,87.199997,87.739998,87.739998,18700
222 | 2019-04-09,87.930000,88.360001,87.830002,88.070000,88.070000,24700
223 | 2019-04-10,88.430000,89.660004,88.120003,89.209999,89.209999,20900
224 | 2019-04-11,89.529999,89.529999,88.139999,88.300003,88.300003,21000
225 | 2019-04-12,88.139999,89.639999,88.092003,89.589996,89.589996,18500
226 | 2019-04-15,89.129997,89.779999,89.129997,89.389999,89.389999,20700
227 | 2019-04-16,89.639999,89.879997,88.139999,88.209999,88.209999,17200
228 | 2019-04-17,88.830002,88.830002,85.410004,86.480003,86.480003,53800
229 | 2019-04-18,86.470001,87.470001,85.800003,87.050003,87.050003,17400
230 | 2019-04-22,86.589996,87.849998,86.589996,87.419998,87.419998,14500
231 | 2019-04-23,86.830002,88.110001,86.639999,88.110001,88.110001,21200
232 | 2019-04-24,83.769997,87.589996,83.769997,87.269997,87.269997,34800
233 | 2019-04-25,87.070000,87.839996,86.925003,87.669998,87.669998,18500
234 | 2019-04-26,87.650002,87.769997,86.699997,86.970001,86.970001,22500
235 | 2019-04-29,86.550003,86.669998,83.019997,86.360001,86.360001,22800
236 | 2019-04-30,87.014000,87.349998,86.410004,87.220001,87.220001,33700
237 | 2019-05-01,88.141998,88.141998,86.985001,87.129997,87.129997,43100
238 | 2019-05-02,87.180000,87.474998,86.610001,87.379997,87.379997,26600
239 | 2019-05-03,87.449997,88.120003,87.449997,87.940002,87.940002,35600
240 | 2019-05-06,86.970001,87.800003,86.970001,87.620003,87.620003,28600
241 | 2019-05-07,86.419998,86.699997,85.970001,86.599998,86.599998,29300
242 | 2019-05-08,87.010002,87.010002,85.930000,86.379997,86.379997,50800
243 | 2019-05-09,85.919998,86.150002,85.476997,85.790001,85.790001,37400
244 | 2019-05-10,86.070000,86.889999,85.510002,86.889999,86.889999,63800
245 | 2019-05-13,86.309998,86.455002,85.169998,86.040001,86.040001,24400
246 | 2019-05-14,85.800003,86.370003,85.610001,86.070000,86.070000,34400
247 | 2019-05-15,86.489998,87.680000,85.690002,86.970001,86.970001,46700
248 | 2019-05-16,87.730003,89.209999,87.540001,89.010002,89.010002,51300
249 | 2019-05-17,89.029999,89.519997,87.110001,87.790001,87.790001,29900
250 | 2019-05-20,85.930000,89.010002,85.930000,86.620003,86.620003,19000
251 | 2019-05-21,87.959999,88.010002,86.089996,86.290001,86.290001,51600
252 | 2019-05-22,86.269997,86.480003,85.260002,86.129997,86.129997,49400
253 | 2019-05-23,88.639999,93.860001,88.014999,93.500000,93.500000,115185
254 |
--------------------------------------------------------------------------------
/dataset/INFY.csv:
--------------------------------------------------------------------------------
1 | Date,Open,High,Low,Close,Adj Close,Volume
2 | 2018-07-13,9.560000,9.815000,9.550000,9.710000,9.423450,27224000
3 | 2018-07-16,9.865000,9.885000,9.770000,9.800000,9.510794,14771800
4 | 2018-07-17,9.785000,9.970000,9.760000,9.950000,9.656367,12135400
5 | 2018-07-18,9.880000,9.910000,9.830000,9.840000,9.549613,5833800
6 | 2018-07-19,9.720000,9.905000,9.720000,9.855000,9.564170,14995000
7 | 2018-07-20,9.950000,10.075000,9.945000,10.005000,9.709743,10394600
8 | 2018-07-23,10.025000,10.090000,9.995000,10.075000,9.777678,6873400
9 | 2018-07-24,10.175000,10.210000,10.130000,10.195000,9.894136,8553200
10 | 2018-07-25,10.220000,10.340000,10.205000,10.290000,9.986332,7539200
11 | 2018-07-26,10.255000,10.300000,10.220000,10.270000,9.966924,9587400
12 | 2018-07-27,10.300000,10.315000,10.115000,10.170000,9.869875,8674800
13 | 2018-07-30,10.100000,10.150000,9.940000,9.970000,9.675777,14123200
14 | 2018-07-31,10.055000,10.105000,10.035000,10.090000,9.792234,16554000
15 | 2018-08-01,10.125000,10.180000,10.100000,10.175000,9.874727,9094000
16 | 2018-08-02,10.090000,10.220000,10.060000,10.190000,9.889283,14119600
17 | 2018-08-03,10.175000,10.275000,10.130000,10.270000,9.966924,8424400
18 | 2018-08-06,10.215000,10.305000,10.160000,10.295000,9.991185,6577600
19 | 2018-08-07,10.325000,10.330000,10.150000,10.300000,9.996037,9157800
20 | 2018-08-08,10.300000,10.430000,10.265000,10.375000,10.068825,7491200
21 | 2018-08-09,10.425000,10.490000,10.410000,10.450000,10.141611,5629600
22 | 2018-08-10,10.355000,10.420000,10.335000,10.400000,10.093086,4435400
23 | 2018-08-13,10.435000,10.475000,10.395000,10.410000,10.102792,4827600
24 | 2018-08-14,10.405000,10.475000,10.385000,10.450000,10.141611,5472800
25 | 2018-08-15,10.390000,10.450000,10.300000,10.435000,10.127054,6000200
26 | 2018-08-16,10.500000,10.520000,10.455000,10.495000,10.185283,6288200
27 | 2018-08-17,10.490000,10.570000,10.465000,10.540000,10.228956,7209600
28 | 2018-08-20,10.250000,10.390000,10.145000,10.250000,9.947514,12304800
29 | 2018-08-21,10.295000,10.375000,10.225000,10.245000,9.942661,8231200
30 | 2018-08-22,10.245000,10.285000,10.205000,10.250000,9.947514,10869000
31 | 2018-08-23,10.300000,10.365000,10.180000,10.190000,9.889283,11189200
32 | 2018-08-24,10.215000,10.215000,10.090000,10.150000,9.850465,7687000
33 | 2018-08-27,10.325000,10.390000,10.260000,10.270000,9.966924,7388600
34 | 2018-08-28,10.350000,10.355000,10.305000,10.325000,10.020301,7254000
35 | 2018-08-29,10.220000,10.265000,10.160000,10.175000,9.874727,12943200
36 | 2018-08-30,10.180000,10.255000,10.135000,10.230000,9.928103,9159000
37 | 2018-08-31,10.310000,10.400000,10.300000,10.385000,10.078529,6992200
38 | 2018-09-04,10.430000,10.460000,10.280000,10.380000,10.073677,12184400
39 | 2018-09-05,10.190000,10.380000,10.170000,10.355000,10.049415,12774400
40 | 2018-09-06,10.295000,10.405000,10.285000,10.400000,10.093086,7225000
41 | 2018-09-07,10.390000,10.535000,10.365000,10.425000,10.117350,10373600
42 | 2018-09-10,10.380000,10.480000,10.300000,10.350000,10.044563,8940600
43 | 2018-09-11,10.360000,10.555000,10.350000,10.485000,10.175577,8671800
44 | 2018-09-12,10.570000,10.650000,10.530000,10.550000,10.238660,4392500
45 | 2018-09-13,10.600000,10.640000,10.470000,10.610000,10.296889,9522300
46 | 2018-09-14,10.520000,10.540000,10.270000,10.320000,10.015448,10702000
47 | 2018-09-17,10.210000,10.290000,10.200000,10.250000,9.947514,7260000
48 | 2018-09-18,10.180000,10.180000,10.080000,10.140000,9.840760,6657600
49 | 2018-09-19,10.200000,10.230000,9.990000,10.010000,9.714596,11042600
50 | 2018-09-20,10.080000,10.100000,9.970000,10.070000,9.772825,9811500
51 | 2018-09-21,10.040000,10.040000,9.890000,9.930000,9.636957,7935600
52 | 2018-09-24,10.040000,10.070000,9.930000,9.950000,9.656367,12798900
53 | 2018-09-25,10.060000,10.190000,10.030000,10.150000,9.850465,10763500
54 | 2018-09-26,10.060000,10.200000,10.030000,10.060000,9.763121,6388300
55 | 2018-09-27,10.100000,10.200000,10.070000,10.100000,9.801940,8822100
56 | 2018-09-28,10.220000,10.250000,10.120000,10.170000,9.869875,9329800
57 | 2018-10-01,10.340000,10.390000,10.300000,10.370000,10.063972,7440100
58 | 2018-10-02,10.320000,10.320000,10.200000,10.270000,9.966924,9053800
59 | 2018-10-03,10.120000,10.150000,10.010000,10.040000,9.743711,10073600
60 | 2018-10-04,9.810000,10.020000,9.800000,10.000000,9.704891,14905600
61 | 2018-10-05,10.020000,10.190000,10.010000,10.170000,9.869875,8296800
62 | 2018-10-08,9.970000,10.070000,9.920000,10.030000,9.734005,9091600
63 | 2018-10-09,9.970000,10.040000,9.930000,10.020000,9.724301,8825600
64 | 2018-10-10,9.810000,9.840000,9.630000,9.740000,9.452564,23251500
65 | 2018-10-11,9.530000,9.680000,9.460000,9.520000,9.239058,18729300
66 | 2018-10-12,9.650000,9.760000,9.570000,9.740000,9.452564,11524500
67 | 2018-10-15,9.850000,9.960000,9.790000,9.910000,9.617547,17032800
68 | 2018-10-16,9.950000,10.520000,9.910000,10.220000,9.918399,27500700
69 | 2018-10-17,10.060000,10.060000,9.740000,9.800000,9.510794,20694700
70 | 2018-10-18,9.780000,9.780000,9.350000,9.540000,9.258466,21337000
71 | 2018-10-19,9.600000,9.760000,9.540000,9.580000,9.297286,8651900
72 | 2018-10-22,9.570000,9.580000,9.400000,9.480000,9.200236,9586300
73 | 2018-10-23,9.240000,9.420000,9.220000,9.400000,9.122598,10275200
74 | 2018-10-24,9.300000,9.370000,9.050000,9.060000,8.792632,11702500
75 | 2018-10-25,9.080000,9.200000,9.050000,9.110000,8.934843,9126200
76 | 2018-10-26,8.990000,9.050000,8.850000,9.020000,8.846575,8647400
77 | 2018-10-29,9.080000,9.100000,8.880000,8.970000,8.797536,9618300
78 | 2018-10-30,9.160000,9.320000,9.100000,9.190000,9.013305,13429500
79 | 2018-10-31,9.450000,9.540000,9.410000,9.470000,9.287922,9089200
80 | 2018-11-01,9.390000,9.400000,9.210000,9.300000,9.121191,12112500
81 | 2018-11-02,9.340000,9.410000,9.230000,9.250000,9.072152,8302600
82 | 2018-11-05,9.290000,9.470000,9.290000,9.400000,9.219268,9240100
83 | 2018-11-06,9.440000,9.550000,9.390000,9.480000,9.297729,6901300
84 | 2018-11-07,9.620000,9.690000,9.580000,9.610000,9.425230,6291500
85 | 2018-11-08,9.610000,9.650000,9.460000,9.510000,9.327153,5057100
86 | 2018-11-09,9.410000,9.500000,9.370000,9.490000,9.307537,5318600
87 | 2018-11-12,9.420000,9.470000,9.270000,9.340000,9.160421,7691300
88 | 2018-11-13,9.370000,9.460000,9.330000,9.400000,9.219268,5937800
89 | 2018-11-14,9.410000,9.440000,9.160000,9.250000,9.072152,5406400
90 | 2018-11-15,9.270000,9.370000,9.160000,9.330000,9.150614,7020900
91 | 2018-11-16,9.280000,9.370000,9.250000,9.330000,9.150614,4709700
92 | 2018-11-19,9.330000,9.330000,9.210000,9.290000,9.111383,6507000
93 | 2018-11-20,9.180000,9.190000,9.050000,9.090000,8.915228,7108500
94 | 2018-11-21,8.990000,9.100000,8.950000,9.070000,8.895612,7539300
95 | 2018-11-23,9.050000,9.160000,9.050000,9.090000,8.915228,3158400
96 | 2018-11-26,9.070000,9.210000,9.060000,9.180000,9.003497,6051900
97 | 2018-11-27,9.250000,9.310000,9.190000,9.270000,9.091768,5458600
98 | 2018-11-28,9.630000,9.890000,9.560000,9.860000,9.670423,13928900
99 | 2018-11-29,9.790000,9.800000,9.660000,9.680000,9.493885,12415800
100 | 2018-11-30,9.800000,9.860000,9.750000,9.860000,9.670423,10463200
101 | 2018-12-03,9.910000,9.940000,9.860000,9.900000,9.709654,13191200
102 | 2018-12-04,9.940000,10.050000,9.830000,9.850000,9.660616,9518900
103 | 2018-12-06,9.770000,9.860000,9.710000,9.830000,9.641000,17177400
104 | 2018-12-07,9.830000,9.970000,9.650000,9.690000,9.503692,11353200
105 | 2018-12-10,9.550000,9.590000,9.430000,9.570000,9.386000,7731000
106 | 2018-12-11,9.650000,9.770000,9.620000,9.690000,9.503692,7952700
107 | 2018-12-12,9.770000,9.820000,9.660000,9.660000,9.474269,5453300
108 | 2018-12-13,9.930000,9.980000,9.850000,9.870000,9.680231,7971700
109 | 2018-12-14,9.990000,10.010000,9.870000,9.890000,9.699846,7799600
110 | 2018-12-17,9.820000,9.830000,9.540000,9.600000,9.415423,10520400
111 | 2018-12-18,9.680000,9.720000,9.500000,9.540000,9.356576,9742500
112 | 2018-12-19,9.490000,9.580000,9.380000,9.430000,9.248692,8175400
113 | 2018-12-20,9.510000,9.540000,9.140000,9.280000,9.101575,23548800
114 | 2018-12-21,9.210000,9.310000,9.100000,9.100000,8.925036,15286200
115 | 2018-12-24,9.190000,9.240000,9.070000,9.080000,8.905420,8590700
116 | 2018-12-26,9.150000,9.380000,9.120000,9.380000,9.199653,9004200
117 | 2018-12-27,9.300000,9.450000,9.280000,9.450000,9.268306,9856500
118 | 2018-12-28,9.480000,9.500000,9.380000,9.430000,9.248692,6818500
119 | 2018-12-31,9.470000,9.530000,9.390000,9.520000,9.336961,7229400
120 | 2019-01-02,9.500000,9.730000,9.470000,9.610000,9.425230,9818900
121 | 2019-01-03,9.550000,9.590000,9.470000,9.470000,9.287922,9404900
122 | 2019-01-04,9.520000,9.720000,9.500000,9.630000,9.444846,7119000
123 | 2019-01-07,9.700000,9.810000,9.660000,9.710000,9.523308,7732700
124 | 2019-01-08,9.820000,9.850000,9.720000,9.750000,9.562538,9391600
125 | 2019-01-09,9.760000,9.890000,9.740000,9.870000,9.680231,9634300
126 | 2019-01-10,9.780000,9.890000,9.700000,9.880000,9.690039,13956500
127 | 2019-01-11,10.180000,10.680000,10.120000,10.410000,10.209848,40526400
128 | 2019-01-14,10.180000,10.410000,10.130000,10.370000,10.170618,34162200
129 | 2019-01-15,10.570000,10.580000,10.460000,10.490000,10.288310,12153400
130 | 2019-01-16,10.570000,10.640000,10.550000,10.610000,10.406003,12048400
131 | 2019-01-17,10.540000,10.630000,10.500000,10.580000,10.376580,9581000
132 | 2019-01-18,10.600000,10.690000,10.580000,10.670000,10.464850,10168700
133 | 2019-01-22,10.640000,10.680000,10.470000,10.530000,10.327541,10437700
134 | 2019-01-23,10.560000,10.560000,10.430000,10.530000,10.327541,8108100
135 | 2019-01-24,10.530000,10.550000,10.430000,10.430000,10.285139,6627700
136 | 2019-01-25,10.510000,10.580000,10.410000,10.550000,10.403472,8839100
137 | 2019-01-28,10.490000,10.570000,10.440000,10.520000,10.373889,5192200
138 | 2019-01-29,10.490000,10.530000,10.420000,10.480000,10.334444,8271100
139 | 2019-01-30,10.460000,10.630000,10.420000,10.590000,10.442917,7026000
140 | 2019-01-31,10.680000,10.820000,10.680000,10.800000,10.650001,10354900
141 | 2019-02-01,10.850000,10.930000,10.810000,10.900000,10.748610,6651300
142 | 2019-02-04,10.830000,10.880000,10.790000,10.870000,10.719028,7449000
143 | 2019-02-05,10.850000,10.920000,10.830000,10.840000,10.689445,6926300
144 | 2019-02-06,10.910000,10.940000,10.850000,10.900000,10.748610,5478400
145 | 2019-02-07,10.860000,10.930000,10.800000,10.850000,10.699306,7116200
146 | 2019-02-08,10.830000,10.890000,10.810000,10.860000,10.709167,4103300
147 | 2019-02-11,10.860000,10.890000,10.790000,10.820000,10.669722,5929600
148 | 2019-02-12,10.850000,10.860000,10.760000,10.770000,10.620417,6300600
149 | 2019-02-13,10.850000,10.870000,10.770000,10.800000,10.650001,9532300
150 | 2019-02-14,10.650000,10.760000,10.620000,10.760000,10.610556,8443400
151 | 2019-02-15,10.680000,10.780000,10.640000,10.760000,10.610556,9269100
152 | 2019-02-19,10.470000,10.570000,10.380000,10.550000,10.403472,13443300
153 | 2019-02-20,10.620000,10.730000,10.620000,10.700000,10.551389,6693600
154 | 2019-02-21,10.600000,10.620000,10.490000,10.550000,10.403472,6913200
155 | 2019-02-22,10.560000,10.680000,10.550000,10.630000,10.482361,4644600
156 | 2019-02-25,10.830000,10.920000,10.780000,10.810000,10.659862,7781200
157 | 2019-02-26,10.700000,10.760000,10.620000,10.730000,10.580972,6343700
158 | 2019-02-27,10.610000,10.730000,10.570000,10.700000,10.551389,6812900
159 | 2019-02-28,10.690000,10.770000,10.650000,10.720000,10.571112,6815000
160 | 2019-03-01,10.790000,10.870000,10.740000,10.840000,10.689445,8012100
161 | 2019-03-04,10.850000,10.870000,10.660000,10.720000,10.571112,5650900
162 | 2019-03-05,10.720000,10.800000,10.650000,10.770000,10.620417,5576000
163 | 2019-03-06,10.700000,10.750000,10.680000,10.710000,10.561250,6026600
164 | 2019-03-07,10.650000,10.710000,10.480000,10.490000,10.344305,8304200
165 | 2019-03-08,10.410000,10.480000,10.360000,10.470000,10.324583,6145300
166 | 2019-03-11,10.480000,10.570000,10.460000,10.550000,10.403472,5497300
167 | 2019-03-12,10.530000,10.550000,10.460000,10.520000,10.373889,9129600
168 | 2019-03-13,10.530000,10.600000,10.480000,10.550000,10.403472,10809900
169 | 2019-03-14,10.520000,10.610000,10.480000,10.600000,10.452778,5964500
170 | 2019-03-15,10.690000,10.770000,10.690000,10.700000,10.551389,7108200
171 | 2019-03-18,10.700000,10.740000,10.680000,10.720000,10.571112,5828700
172 | 2019-03-19,10.800000,10.910000,10.790000,10.900000,10.748610,7204100
173 | 2019-03-20,10.970000,11.040000,10.880000,10.940000,10.788055,7616300
174 | 2019-03-21,10.940000,11.080000,10.940000,11.060000,10.906389,5108000
175 | 2019-03-22,11.050000,11.120000,10.860000,10.880000,10.728889,8525300
176 | 2019-03-25,10.860000,10.880000,10.770000,10.820000,10.669722,7322400
177 | 2019-03-26,10.860000,10.880000,10.770000,10.820000,10.669722,4427200
178 | 2019-03-27,10.790000,10.830000,10.670000,10.730000,10.580972,5644900
179 | 2019-03-28,10.910000,10.940000,10.830000,10.880000,10.728889,5429900
180 | 2019-03-29,10.930000,11.030000,10.920000,10.930000,10.778194,5862300
181 | 2019-04-01,11.070000,11.160000,11.030000,11.090000,10.935972,5765400
182 | 2019-04-02,11.160000,11.260000,11.100000,11.180000,11.024722,7661600
183 | 2019-04-03,11.200000,11.280000,11.160000,11.200000,11.044444,7516300
184 | 2019-04-04,11.090000,11.150000,11.000000,11.070000,10.916249,5658700
185 | 2019-04-05,11.170000,11.360000,11.150000,11.320000,11.162777,9160300
186 | 2019-04-08,11.280000,11.380000,11.270000,11.310000,11.152917,4759200
187 | 2019-04-09,11.230000,11.260000,11.140000,11.150000,10.995138,15865500
188 | 2019-04-10,11.120000,11.170000,11.040000,11.080000,10.926111,15151400
189 | 2019-04-11,11.050000,11.070000,10.900000,10.970000,10.817639,19697600
190 | 2019-04-12,10.600000,10.710000,10.450000,10.550000,10.403472,27590500
191 | 2019-04-15,10.610000,10.610000,10.500000,10.570000,10.423194,15949200
192 | 2019-04-16,10.560000,10.570000,10.360000,10.370000,10.225972,21431800
193 | 2019-04-17,10.420000,10.460000,10.370000,10.410000,10.265416,10317700
194 | 2019-04-18,10.450000,10.490000,10.340000,10.390000,10.245695,18307000
195 | 2019-04-22,10.440000,10.470000,10.390000,10.450000,10.304861,7392500
196 | 2019-04-23,10.480000,10.640000,10.480000,10.530000,10.383750,13314800
197 | 2019-04-24,10.620000,10.700000,10.560000,10.580000,10.433056,12134700
198 | 2019-04-25,10.570000,10.570000,10.400000,10.520000,10.373889,7030200
199 | 2019-04-26,10.640000,10.680000,10.560000,10.650000,10.502083,5366900
200 | 2019-04-29,10.690000,10.780000,10.660000,10.750000,10.600695,6956900
201 | 2019-04-30,10.820000,10.880000,10.750000,10.760000,10.610556,8432300
202 | 2019-05-01,10.810000,10.880000,10.760000,10.770000,10.620417,9212300
203 | 2019-05-02,10.640000,10.720000,10.470000,10.570000,10.423194,12516500
204 | 2019-05-03,10.560000,10.560000,10.070000,10.330000,10.186527,30580400
205 | 2019-05-06,10.310000,10.520000,10.310000,10.450000,10.304861,13121800
206 | 2019-05-07,10.440000,10.460000,10.290000,10.340000,10.196389,13262100
207 | 2019-05-08,10.420000,10.430000,10.260000,10.390000,10.245695,11854500
208 | 2019-05-09,10.340000,10.360000,10.190000,10.200000,10.058333,18123600
209 | 2019-05-10,10.230000,10.270000,10.110000,10.260000,10.117500,19016300
210 | 2019-05-13,10.170000,10.180000,10.040000,10.110000,9.969583,13309000
211 | 2019-05-14,10.150000,10.290000,10.130000,10.210000,10.068194,5885600
212 | 2019-05-15,10.230000,10.390000,10.190000,10.390000,10.245695,11611400
213 | 2019-05-16,10.480000,10.560000,10.470000,10.510000,10.364028,8502800
214 | 2019-05-17,10.400000,10.440000,10.150000,10.170000,10.028750,12427600
215 | 2019-05-20,10.310000,10.360000,10.150000,10.200000,10.058333,17155700
216 | 2019-05-21,10.200000,10.210000,10.120000,10.180000,10.038611,13841200
217 | 2019-05-22,10.190000,10.320000,10.180000,10.220000,10.078055,8639200
218 | 2019-05-23,10.080000,10.200000,10.010000,10.160000,10.018888,6115600
219 | 2019-05-24,10.270000,10.350000,10.230000,10.230000,10.087916,10594200
220 | 2019-05-28,10.400000,10.450000,10.300000,10.300000,10.156944,13101000
221 | 2019-05-29,10.330000,10.340000,10.230000,10.270000,10.127361,9885000
222 | 2019-05-30,10.380000,10.600000,10.370000,10.570000,10.423194,9560600
223 | 2019-05-31,10.500000,10.530000,10.410000,10.470000,10.324583,8501000
224 | 2019-06-03,10.560000,10.630000,10.410000,10.450000,10.304861,16517600
225 | 2019-06-04,10.500000,10.600000,10.420000,10.580000,10.433056,8956200
226 | 2019-06-05,10.560000,10.570000,10.430000,10.440000,10.294999,7705300
227 | 2019-06-06,10.460000,10.580000,10.460000,10.530000,10.383750,5068500
228 | 2019-06-07,10.520000,10.680000,10.520000,10.630000,10.482361,4587400
229 | 2019-06-10,10.760000,10.810000,10.730000,10.780000,10.630278,6059100
230 | 2019-06-11,10.840000,10.850000,10.720000,10.840000,10.689445,6582600
231 | 2019-06-12,10.820000,10.900000,10.770000,10.800000,10.650001,7234800
232 | 2019-06-13,10.630000,10.700000,10.540000,10.620000,10.620000,11253600
233 | 2019-06-14,10.590000,10.670000,10.570000,10.600000,10.600000,4910900
234 | 2019-06-17,10.520000,10.650000,10.470000,10.600000,10.600000,5351000
235 | 2019-06-18,10.790000,10.830000,10.740000,10.750000,10.750000,9545700
236 | 2019-06-19,10.780000,10.800000,10.590000,10.600000,10.600000,17172400
237 | 2019-06-20,10.790000,10.800000,10.680000,10.770000,10.770000,14996300
238 | 2019-06-21,10.720000,10.790000,10.680000,10.720000,10.720000,8959000
239 | 2019-06-24,10.720000,10.770000,10.650000,10.680000,10.680000,6824800
240 | 2019-06-25,10.700000,10.700000,10.610000,10.650000,10.650000,8018600
241 | 2019-06-26,10.660000,10.680000,10.600000,10.660000,10.660000,4425400
242 | 2019-06-27,10.590000,10.670000,10.520000,10.620000,10.620000,7636900
243 | 2019-06-28,10.640000,10.710000,10.630000,10.700000,10.700000,6315300
244 | 2019-07-01,10.700000,10.700000,10.620000,10.700000,10.700000,8902200
245 | 2019-07-02,10.730000,10.790000,10.720000,10.760000,10.760000,7007200
246 | 2019-07-03,10.690000,10.770000,10.670000,10.740000,10.740000,6879500
247 | 2019-07-05,10.570000,10.700000,10.540000,10.690000,10.690000,18833300
248 | 2019-07-08,10.600000,10.620000,10.550000,10.560000,10.560000,13564300
249 | 2019-07-09,10.540000,10.550000,10.370000,10.420000,10.420000,23515700
250 | 2019-07-10,10.550000,10.610000,10.440000,10.480000,10.480000,14954300
251 | 2019-07-11,10.570000,10.720000,10.530000,10.720000,10.720000,15798500
252 | 2019-07-12,11.340000,11.560000,11.270000,11.400000,11.400000,41385700
253 |
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