├── LICENSE.txt
├── MNQ 03-22.Last.txt
├── Request.py
├── Strategy.py
├── assets
    ├── avocado.csv
    ├── favicon.ico
    ├── style.css
    └── tickers.csv
├── config.cfg
├── dashboard.py
├── display.py
├── dist
    ├── __init__.py
    ├── __pycache__
    │   └── __init__.cpython-310.pyc
    ├── data
    │   ├── __init__.py
    │   ├── __pycache__
    │   │   ├── __init__.cpython-310.pyc
    │   │   └── random.cpython-310.pyc
    │   ├── crypto.py
    │   ├── forex.py
    │   ├── random.py
    │   ├── stock.py
    │   └── tickers.py
    ├── engine
    │   ├── __init__.py
    │   ├── __pycache__
    │   │   ├── __init__.cpython-310.pyc
    │   │   ├── abstraction.cpython-310.pyc
    │   │   ├── backtest.cpython-310.pyc
    │   │   ├── btv2.cpython-310.pyc
    │   │   └── optimise.cpython-310.pyc
    │   ├── abstraction.py
    │   ├── aliases.py
    │   ├── backtest.py
    │   ├── btv2.py
    │   ├── conversion.py
    │   └── optimise.py
    ├── strategies
    │   ├── __init__.py
    │   ├── __pycache__
    │   │   ├── __init__.cpython-310.pyc
    │   │   ├── examples.cpython-310.pyc
    │   │   └── t.cpython-310.pyc
    │   ├── examples.py
    │   └── t.py
    └── utils
    │   ├── __pycache__
    │       ├── calculators.cpython-310.pyc
    │       ├── listclasses.cpython-310.pyc
    │       └── series.cpython-310.pyc
    │   ├── calculators.py
    │   ├── get_ticker_list.py
    │   ├── listclasses.py
    │   └── series.py
├── main.py
├── pages
    ├── __init__.py
    ├── __pycache__
    │   ├── __init__.cpython-310.pyc
    │   ├── backtest.cpython-310.pyc
    │   └── optimise.cpython-310.pyc
    ├── backtest.py
    └── optimise.py
├── readme.md
├── requirements.txt
├── t.py
└── test.py


/LICENSE.txt:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) [2021] [pyine]
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/Request.py:
--------------------------------------------------------------------------------
 1 | import pandas as pd
 2 | from binance.client import Client
 3 | import configparser
 4 | 
 5 | config = configparser.ConfigParser()
 6 | config.read('config.cfg')
 7 | api = config['BINANCE']
 8 | 
 9 | class request:
10 |     client = Client(api['KEY'], api['SECRET'])
11 |     constants = {
12 |         '1m':client.KLINE_INTERVAL_1MINUTE  ,
13 |         '3m':client.KLINE_INTERVAL_3MINUTE  ,
14 |         '5m':client.KLINE_INTERVAL_5MINUTE  ,
15 |         '15m':client.KLINE_INTERVAL_15MINUTE ,
16 |         '30m':client.KLINE_INTERVAL_30MINUTE ,
17 |         '1h':client.KLINE_INTERVAL_1HOUR    ,
18 |         '2h':client.KLINE_INTERVAL_2HOUR    ,
19 |         '4h':client.KLINE_INTERVAL_4HOUR    ,
20 |         '6h':client.KLINE_INTERVAL_6HOUR    ,
21 |         '8h':client.KLINE_INTERVAL_8HOUR    ,
22 |         '12h':client.KLINE_INTERVAL_12HOUR   ,
23 |         '1d':client.KLINE_INTERVAL_1DAY     ,
24 |         '3d':client.KLINE_INTERVAL_3DAY     ,
25 |         '1w':client.KLINE_INTERVAL_1WEEK    ,
26 |         '1M':client.KLINE_INTERVAL_1MONTH   ,
27 |     }
28 | 
29 |     def __init__(self) -> None:
30 |         pass
31 | 
32 |     def security(symbol, timeframe):
33 |         data = request.client.get_historical_klines(f"{symbol}", request.constants[timeframe])
34 |         d = pd.DataFrame({
35 |             'time':[int(i[0])/1000 for i in data][:-1],
36 |             'open':[float(i[1]) for i in data][:-1],
37 |             'high':[float(i[2]) for i in data][:-1],
38 |             'low':[float(i[3]) for i in data][:-1],
39 |             'close':[float(i[4]) for i in data][:-1],
40 |             'volume':[float(i[5]) for i in data][:-1],
41 |             'hl2':[(float(i[2])+float(i[3]))/2 for i in data][:-1],
42 |             'hlc3':[(float(i[2])+float(i[3])+float(i[4]))/3 for i in data][:-1],
43 |             'ohlc4':[(float(i[1])+float(i[2])+float(i[3])+float(i[4]))/4 for i in data][:-1],
44 |         })
45 |         return d


--------------------------------------------------------------------------------
/Strategy.py:
--------------------------------------------------------------------------------
 1 | import pandas as pd
 2 | import configparser
 3 | from datetime import datetime
 4 | import pandas as pd
 5 | from binance.client import Client
 6 | from Request import request
 7 | 
 8 | class Strategy:
 9 | 
10 |     CONVERSION = {
11 |         't':'time',
12 |         'o':'open',
13 |         'h':'high',
14 |         'l':'low',
15 |         'c':'close',
16 |         'v':'volume',
17 |         't':'time',
18 |         'T':'TIME',
19 |     }
20 |     
21 |     def __init__(self, ticker="BTCUSDT", timeframe="1m", name=''):
22 |         self.data = pd.DataFrame()
23 | 
24 |         self.cache = pd.DataFrame()
25 | 
26 |         self.debug = False
27 | 
28 |         self.ticker = ticker
29 | 
30 |         self.name = name if name else type(self).__name__
31 | 
32 |         self.status = "alive"
33 | 
34 |         self.alerts = []
35 |         
36 |         config = configparser.ConfigParser()
37 |         config.read('config.cfg')
38 |         self.config = config[self.name]
39 |         api = config['BINANCE']
40 |         self.client = Client(api['KEY'], api['SECRET'])
41 | 
42 |     def calculator(func):
43 |         def inner_function(*args, **kwargs):
44 |             try:
45 |                 n = func(*args, **kwargs)
46 |                 return n
47 |             except:
48 |                 pass
49 |         n = inner_function
50 |         if n: return n
51 |         else: pass
52 | 
53 |     def reset_data(self):
54 |         self.data = pd.DataFrame({
55 |             'time':[],
56 |             'open':[],
57 |             'high':[],
58 |             'low':[],
59 |             'close':[],
60 |             'volume':[],
61 |             })
62 |     
63 |     def alertcondition(self, when, title="", message=""):
64 |         cond = when.iloc[-1].bool()
65 |         if cond:
66 |             print(datetime.fromtimestamp(self.data.time.iloc[-1]), self.ticker, message)
67 |         l = []
68 |         for i in range(len(when)):
69 |             if when.iloc[i].bool() == True:
70 |                 l.append([self.data.time.iloc[i], message, self.ticker])
71 |         self.alerts.append(l)
72 | 
73 |     def tick(self):
74 |         return "Tick Success"
75 | 


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/assets/favicon.ico:
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https://raw.githubusercontent.com/TomCallan/pyine/a791c6c9c45075d44a22f47d08b4b27e8ec482c7/assets/favicon.ico


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/assets/style.css:
--------------------------------------------------------------------------------
  1 | body {
  2 |     font-family: "Lato", sans-serif;
  3 |     margin: 0;
  4 |     background-color: #F7F7F7;
  5 | }
  6 | 
  7 | .header {
  8 |     background-color: #222222;
  9 |     height: 288px;
 10 |     padding: 16px 0 0 0;
 11 | }
 12 | 
 13 | .header-emoji {
 14 |     font-size: 48px;
 15 |     margin: 0 auto;
 16 |     text-align: center;
 17 | }
 18 | 
 19 | .header-title {
 20 |     color: #FFFFFF;
 21 |     font-size: 48px;
 22 |     font-weight: bold;
 23 |     text-align: center;
 24 |     margin: 0 auto;
 25 | }
 26 | 
 27 | .header-description {
 28 |     color: #CFCFCF;
 29 |     margin: 16px auto;
 30 |     text-align: center;
 31 | }
 32 | 
 33 | .wrapper {
 34 |     margin-right: auto;
 35 |     margin-left: auto;
 36 |     max-width: 1024px;
 37 |     padding-right: 10px;
 38 |     padding-left: 10px;
 39 |     margin-top: 32px;
 40 | }
 41 | 
 42 | .card {
 43 |     margin-bottom: 24px;
 44 |     box-shadow: 0 4px 6px 0 rgba(0, 0, 0, 0.18);
 45 | }
 46 | 
 47 | .menu {
 48 |     height: 112px;
 49 |     width: 912px;
 50 |     display: flex;
 51 |     justify-content: space-evenly;
 52 |     padding-top: 24px;
 53 |     margin: -80px auto 0 auto;
 54 |     background-color: #FFFFFF;
 55 |     box-shadow: 0 4px 6px 0 rgba(0, 0, 0, 0.18);
 56 | }
 57 | 
 58 | .menu2 {
 59 |     height: 112px;
 60 |     width: 912px;
 61 |     display: flex;
 62 |     justify-content: space-evenly;
 63 |     padding-top: 24px;
 64 |     margin: 0px auto 0 auto;
 65 |     background-color: #FFFFFF;
 66 |     box-shadow: 0 4px 6px 0 rgba(0, 0, 0, 0.18);
 67 |     display: 'none';
 68 | }
 69 | 
 70 | .menu3 {
 71 |     height: 100px;
 72 |     width: 912px;
 73 |     display: flex;
 74 |     justify-content: space-evenly;
 75 |     padding-top: 50px;
 76 |     padding-bottom: 0px;
 77 |     margin: 0px auto 0 auto;
 78 |     margin-bottom: 40px;
 79 |     background-color: #FFFFFF;
 80 |     box-shadow: 0 4px 6px 0 rgba(0, 0, 0, 0.18);
 81 |     display: 'none';
 82 | }
 83 | 
 84 | .Select-control {
 85 |     width: 256px;
 86 |     height: 48px;
 87 | }
 88 | 
 89 | .Select--single > .Select-control .Select-value, .Select-placeholder {
 90 |     line-height: 48px;
 91 | }
 92 | 
 93 | .Select--multi .Select-value-label {
 94 |     line-height: 32px;
 95 | }
 96 | 
 97 | .menu-title {
 98 |     margin-bottom: 6px;
 99 |     font-weight: bold;
100 |     color: #079A82;
101 | }
102 | 
103 | .input {
104 |     width: 246px;
105 |     height: 43px;
106 |     border: 1px solid lightgray;
107 |     margin-top: 1px;
108 |     border-radius:4px;
109 |     padding-left: 10px;
110 | }
111 | 
112 | .output {
113 |     width: 236px;
114 |     height: 43px;
115 |     border: 1px solid lightgray;
116 |     margin-top: 1px;
117 |     border-radius:4px;
118 |     padding-left: 10px;
119 |     padding-right: 10px;
120 | }
121 | 
122 | .stats {
123 |     justify-content: space-evenly;
124 | }


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/assets/tickers.csv:
--------------------------------------------------------------------------------
  1 | No,Ticker,MarketCap,PE,FwdPE,PEG,PS,PB,PC,PFCF,EPSthisY,EPSnextY,EPSpast5Y,EPSnext5Y,Salespast5Y,Price,Change,Volume
  2 | 21,AJG,32.43B,34.68,22.30,2.99,3.95,3.77,11.86,27.90,19.40%,13.54%,15.30%,11.60%,5.40%,154.90,1.01%,"306,055"
  3 | 22,AKAM,18.25B,30.40,18.66,2.53,5.37,3.93,9.52,17.49,16.10%,4.62%,13.60%,12.00%,7.80%,110.98,0.30%,"1,020,693"
  4 | 23,ALB,27.23B,120.47,37.04,4.04,8.22,4.68,45.76,-,-29.90%,52.08%,5.40%,29.83%,2.10%,241.27,5.97%,"574,457"
  5 | 24,ALGN,41.70B,52.14,32.18,1.21,10.55,11.35,-,46.58,305.50%,25.59%,66.20%,43.25%,23.90%,520.48,2.93%,"355,953"
  6 | 25,ALK,7.37B,15.23,8.80,0.78,1.19,2.02,2.31,15.74,-273.30%,124.27%,-29.50%,19.43%,-8.60%,59.70,4.72%,"1,610,254"
  7 | 26,ALL,35.75B,7.36,9.62,-,0.71,1.48,51.81,8.04,20.10%,33.28%,27.20%,-4.00%,3.00%,124.10,-0.56%,"978,810"
  8 | 27,ALLE,10.78B,23.24,20.68,2.99,3.73,12.29,21.39,27.71,-20.50%,12.37%,16.30%,7.77%,5.60%,117.91,-0.35%,"728,937"
  9 | 28,AMAT,123.60B,20.56,14.76,1.24,5.36,9.67,22.64,31.40,63.40%,9.07%,33.00%,16.54%,16.30%,138.61,5.12%,"4,252,804"
 10 | 29,AMCR,17.56B,18.78,13.61,2.70,1.29,3.94,28.05,173.85,55.60%,6.78%,23.80%,6.95%,6.40%,11.82,2.16%,"3,048,927"
 11 | 30,AMD,152.29B,44.39,23.94,1.29,9.27,18.43,42.21,47.29,24.70%,17.71%,44.60%,34.37%,30.90%,120.04,5.05%,"97,613,191"
 12 | 31,AME,31.19B,30.61,22.44,-,5.62,4.59,86.94,31.06,0.50%,6.70%,9.10%,-1.20%,2.70%,132.21,1.58%,"322,250"
 13 | 32,AMGN,126.67B,21.76,11.68,3.05,4.88,15.48,9.80,25.31,-4.40%,9.00%,6.30%,7.13%,3.30%,223.14,-0.50%,"1,187,366"
 14 | 33,AMP,34.99B,13.05,10.16,0.49,2.60,6.14,4.48,167.42,-12.30%,15.31%,7.60%,26.39%,-0.40%,308.12,2.38%,"257,563"
 15 | 34,AMT,109.23B,42.64,43.77,2.66,12.09,19.70,33.33,60.25,-10.60%,-7.77%,21.90%,16.01%,11.00%,234.29,0.00%,"905,955"
 16 | 35,AMZN,1637.94B,47.95,42.78,1.38,3.49,11.43,17.05,-,54.90%,50.94%,67.60%,34.80%,28.10%,3117.33,0.45%,"1,707,044"
 17 | 36,ANET,39.66B,49.89,35.43,2.62,14.31,9.77,11.71,43.37,-24.90%,24.85%,36.70%,19.02%,22.60%,131.15,6.78%,"4,836,716"
 18 | 37,ANSS,28.88B,59.65,40.01,5.33,15.41,6.38,26.71,48.76,-5.00%,9.50%,12.50%,11.18%,12.30%,323.91,2.14%,"174,710"
 19 | 38,ANTM,110.09B,17.96,13.77,1.40,0.79,3.02,20.05,23.17,-2.60%,13.22%,13.90%,12.86%,9.00%,447.78,0.86%,"337,027"
 20 | 39,AON,62.51B,50.22,19.21,3.53,5.13,28.56,8.53,26.49,32.50%,10.57%,14.50%,14.21%,3.10%,283.25,1.20%,"414,519"
 21 | 40,AOS,11.48B,23.57,18.68,2.95,3.24,5.98,16.76,32.69,-4.40%,7.44%,6.10%,8.00%,2.70%,72.81,2.22%,"465,014"
 22 | 41,APA,11.44B,20.26,5.30,-,1.66,-,30.35,3.99,-36.40%,47.72%,14.80%,-,-7.40%,32.21,0.22%,"4,658,502"
 23 | 42,APD,55.75B,25.59,20.81,2.28,5.10,3.91,15.14,-,6.60%,13.61%,12.60%,11.20%,6.60%,248.49,2.05%,"671,210"
 24 | 43,APH,46.56B,30.02,24.92,2.86,4.28,7.15,37.50,55.89,28.20%,9.69%,14.00%,10.50%,11.60%,76.83,2.02%,"1,127,367"
 25 | 44,APTV,37.48B,70.27,22.03,1.42,2.40,4.43,11.94,61.34,-70.30%,39.85%,-8.60%,49.34%,4.90%,143.37,4.95%,"1,341,081"
 26 | 45,ARE,31.15B,48.78,43.01,487.83,14.73,1.74,86.20,-,-36.50%,11.75%,31.40%,0.10%,18.10%,186.49,1.56%,"270,018"
 27 | 46,ATO,14.26B,20.20,17.95,2.79,4.07,1.71,54.00,-,4.80%,7.11%,9.00%,7.25%,6.80%,105.88,-0.09%,"426,075"
 28 | 47,ATVI,63.44B,23.64,18.87,1.44,7.21,3.74,6.34,25.52,44.90%,21.12%,18.80%,16.45%,11.60%,81.61,0.13%,"4,258,450"
 29 | 48,AVB,33.46B,31.05,51.38,12.23,15.07,3.08,103.82,129.60,4.70%,14.33%,1.30%,2.54%,4.40%,240.90,1.15%,"206,620"
 30 | 49,AVGO,246.35B,38.54,16.04,2.62,8.97,9.57,20.25,34.65,137.10%,9.19%,40.00%,14.74%,15.70%,601.08,3.89%,"1,153,555"
 31 | 50,AVY,15.32B,20.57,17.01,2.65,1.82,8.38,73.92,24.91,85.10%,10.74%,17.50%,7.77%,3.20%,186.10,2.38%,"186,000"
 32 | 51,AWK,27.04B,35.42,33.19,4.32,6.93,3.92,386.34,-,13.50%,5.02%,8.10%,8.20%,3.60%,147.09,-0.64%,"926,017"
 33 | 52,AXP,151.86B,19.25,16.94,0.56,3.54,6.19,5.56,18.17,-52.90%,17.14%,-5.70%,34.57%,2.20%,197.66,2.76%,"2,037,846"
 34 | 53,AZO,39.51B,18.64,16.39,1.33,2.61,-,41.11,13.67,32.30%,10.56%,18.50%,14.00%,6.60%,1934.43,0.51%,"85,426"
 35 | 54,BA,126.17B,-,29.39,-,2.03,-,7.77,-,65.80%,124.18%,-23.80%,20.17%,-7.80%,218.60,4.08%,"7,708,444"
 36 | 55,BAC,397.24B,13.32,12.51,0.56,8.33,1.61,0.45,-,-32.00%,16.25%,7.40%,23.89%,0.80%,47.94,1.09%,"26,516,469"
 37 | 56,BAX,43.70B,35.86,19.59,3.21,3.51,4.87,13.41,44.55,37.10%,20.83%,24.40%,11.17%,3.20%,85.81,0.42%,"845,513"
 38 | 57,BBWI,15.02B,11.58,11.51,0.67,1.55,-,10.43,48.62,326.50%,6.29%,-6.60%,17.36%,-0.50%,55.73,1.27%,"1,440,297"
 39 | 58,BBY,24.19B,9.76,10.83,1.04,0.46,5.80,-,35.05,18.90%,-7.26%,24.30%,9.40%,3.60%,102.51,1.86%,"853,603"
 40 | 59,BDX,77.13B,46.48,19.24,5.11,3.87,3.17,40.36,46.77,152.40%,8.08%,8.80%,9.10%,10.20%,271.31,0.90%,"385,888"
 41 | 60,BEN,15.64B,8.03,7.94,2.19,1.81,1.29,3.44,33.27,124.60%,1.11%,4.00%,3.67%,4.90%,31.15,2.47%,"717,077"
 42 | 61,BF-B,31.01B,41.59,34.80,3.93,8.56,10.88,28.90,67.41,9.10%,14.26%,-2.10%,10.59%,2.30%,66.41,0.06%,"488,048"
 43 | 62,BIIB,32.27B,20.60,13.18,-,2.94,2.88,8.49,8.91,-58.10%,5.38%,-9.30%,-9.20%,-0.80%,216.27,1.01%,"298,207"
 44 | 63,BIO,18.46B,4.43,38.86,0.25,6.31,1.21,13.80,31.47,116.60%,7.97%,101.00%,17.80%,4.70%,621.77,0.13%,"142,518"
 45 | 64,BK,51.69B,15.54,10.65,1.23,17.12,1.33,0.26,-,-15.10%,21.21%,7.20%,12.65%,4.30%,62.37,1.46%,"2,355,086"
 46 | 65,BKNG,108.60B,283.92,25.62,-,11.78,18.85,8.93,63.99,-98.90%,132.14%,-52.20%,-,-5.90%,2627.19,3.20%,"260,603"
 47 | 66,BKR,27.86B,-,16.64,-,1.36,1.44,6.44,57.56,2200.00%,35.36%,-27.10%,50.90%,5.60%,28.68,0.51%,"3,119,138"
 48 | 67,BLK,116.36B,19.90,16.02,1.57,6.01,3.14,15.81,74.88,12.10%,11.60%,10.00%,12.66%,7.30%,782.51,2.92%,"263,468"
 49 | 68,BLL,29.96B,34.82,19.51,2.36,2.17,8.12,20.72,141.34,1.10%,16.13%,11.10%,14.78%,8.10%,92.38,0.10%,"446,584"
 50 | 69,BMY,144.82B,21.42,8.06,4.28,3.12,4.09,8.54,13.36,178.00%,6.38%,3.30%,5.00%,19.00%,67.55,1.11%,"9,588,881"
 51 | 70,BR,17.13B,31.70,20.53,2.69,3.19,9.66,60.91,110.78,17.60%,9.65%,12.90%,11.80%,11.50%,147.26,1.67%,"438,115"
 52 | 71,BRK-B,763.70B,-,24.63,-,2.84,0.00,-,-,28.40%,8.50%,-,23.30%,-,315.82,0.49%,"1,574,553"
 53 | 72,BRO,19.24B,32.15,25.85,2.43,6.51,4.44,20.08,31.28,20.10%,9.11%,14.70%,13.22%,9.50%,66.83,1.29%,"429,798"
 54 | 73,BSX,61.79B,62.29,21.34,3.86,5.20,3.70,31.74,33.33,-119.10%,13.36%,14.60%,16.15%,5.80%,43.99,2.95%,"3,833,305"
 55 | 74,BWA,10.41B,13.28,9.19,0.44,0.69,1.53,6.91,10.70,-37.10%,21.10%,-1.80%,30.25%,4.80%,45.22,5.75%,"2,001,167"
 56 | 75,BXP,17.94B,36.90,33.21,5.27,6.21,3.20,17.90,51.40,68.00%,14.65%,8.30%,7.00%,2.10%,120.48,3.02%,"395,069"
 57 | 76,C,132.56B,6.59,8.17,0.97,2.63,0.73,0.13,9.46,-41.10%,7.41%,-2.70%,6.83%,-0.20%,67.29,1.24%,"7,885,918"
 58 | 77,CAG,16.57B,15.50,13.25,9.34,1.48,1.95,241.17,105.13,54.90%,8.78%,59.30%,1.66%,5.20%,35.37,0.18%,"1,383,564"
 59 | 78,CAH,14.56B,27.36,8.83,5.36,0.08,14.61,4.61,26.42,116.50%,11.82%,-13.60%,5.10%,6.00%,53.48,2.28%,"1,044,539"
 60 | 79,CARR,39.71B,23.96,17.51,2.00,1.93,5.73,13.29,26.90,-17.00%,12.05%,-,12.01%,-,45.70,2.03%,"2,369,792"
 61 | 80,CAT,109.11B,16.88,13.88,0.80,2.14,6.53,-,23.30,-49.00%,18.01%,4.90%,20.97%,-2.30%,203.79,1.95%,"1,305,576"
 62 | 81,CB,88.98B,10.49,12.38,0.35,2.17,1.48,54.92,8.99,-19.70%,10.38%,-2.00%,29.79%,13.50%,203.79,0.85%,"810,444"
 63 | 82,CBOE,12.95B,24.49,18.73,5.21,3.70,3.68,30.89,8.87,28.20%,5.49%,11.70%,4.70%,40.10%,120.81,0.19%,"237,710"
 64 | 83,CBRE,33.74B,22.87,17.23,2.08,1.29,4.14,12.19,17.10,-41.00%,6.94%,6.40%,11.00%,17.00%,99.96,1.79%,"540,216"
 65 | 84,CCI,74.22B,62.69,40.20,5.06,11.71,8.50,207.89,-,31.50%,7.61%,10.30%,12.40%,9.80%,166.79,-0.47%,"988,843"
 66 | 85,CCL,25.24B,-,11.34,-,13.22,1.99,2.76,-,35.90%,750.00%,-33.70%,9.95%,-35.00%,22.69,6.23%,"23,958,474"
 67 | 86,CDAY,11.32B,-,111.92,-,11.06,4.74,29.89,-,-105.20%,64.91%,47.30%,12.50%,4.00%,71.12,1.68%,"651,562"
 68 | 87,CDNS,41.14B,57.27,39.88,3.15,13.83,14.75,40.58,43.78,-40.10%,13.40%,21.20%,18.20%,9.50%,145.61,2.48%,"489,014"
 69 | 88,CDW,24.52B,25.03,17.02,1.91,1.18,28.87,100.03,29.78,9.20%,11.46%,18.30%,13.10%,7.30%,184.41,4.72%,"608,535"
 70 | 89,CE,17.26B,9.05,9.58,-,2.02,4.00,31.62,17.51,1.20%,1.97%,22.50%,-2.22%,9.60%,158.63,2.89%,"211,370"
 71 | 90,CERN,26.85B,53.51,24.78,3.96,4.70,7.07,34.33,-,53.10%,12.23%,10.40%,13.52%,4.50%,92.10,0.47%,"985,316"
 72 | 91,CF,14.73B,51.82,6.44,0.83,2.89,5.23,19.46,15.71,-33.80%,142.93%,-13.10%,62.70%,-0.90%,72.70,1.74%,"2,382,343"
 73 | 92,CFG,23.09B,10.40,10.57,-,4.76,1.07,1.46,-,-41.70%,19.55%,7.50%,-2.76%,6.80%,55.06,2.61%,"1,830,071"
 74 | 93,CHD,23.81B,29.43,28.05,3.76,4.59,6.81,132.26,62.37,27.60%,8.52%,15.20%,7.83%,7.60%,97.25,-0.33%,"752,313"
 75 | 94,CHRW,11.70B,14.16,15.35,1.15,0.51,6.03,57.77,-,-11.20%,-7.63%,1.20%,12.30%,3.80%,89.96,0.84%,"474,043"
 76 | 95,CHTR,105.33B,24.49,15.98,0.76,2.04,7.60,175.25,12.24,58.90%,23.39%,8.90%,32.03%,12.20%,610.57,0.43%,"1,783,408"
 77 | 96,CI,75.56B,9.46,8.97,0.85,0.44,1.59,21.69,16.26,70.90%,11.67%,23.40%,11.15%,33.40%,227.41,0.96%,"1,119,564"
 78 | 97,CINF,19.48B,7.69,23.12,0.53,2.16,1.63,17.95,13.12,-38.10%,-10.68%,14.40%,14.39%,7.90%,120.91,1.20%,"335,736"
 79 | 98,CL,66.96B,31.06,22.07,4.68,3.84,113.23,63.29,67.23,14.10%,8.23%,15.60%,6.63%,0.50%,78.91,-0.44%,"2,193,169"
 80 | 99,CLX,17.27B,71.80,24.00,-,2.44,56.28,89.93,1015.70,-24.20%,37.23%,2.50%,-3.53%,5.00%,142.95,-0.00%,"519,079"
 81 | 100,CMA,13.04B,11.76,12.66,-,6.86,1.76,0.55,-,-56.50%,25.68%,3.80%,-10.70%,3.20%,100.47,2.63%,"327,152"
 82 | 101,CMCSA,220.74B,15.59,11.90,1.09,1.90,2.25,25.34,14.30,33.50%,12.17%,11.30%,14.31%,7.60%,48.12,1.51%,"9,119,243"
 83 | 102,CME,87.03B,32.56,29.69,4.22,18.56,3.14,55.45,-,-0.60%,8.21%,9.70%,7.71%,8.00%,239.21,0.02%,"788,067"
 84 | 103,CMG,44.46B,68.27,37.68,2.35,5.89,19.14,41.31,52.96,82.90%,31.16%,97.10%,29.02%,14.10%,1572.09,0.52%,"122,173"
 85 | 104,CMI,31.40B,15.04,10.92,1.40,1.31,3.70,9.85,44.04,21.60%,14.65%,12.20%,10.72%,6.50%,222.94,1.59%,"385,721"
 86 | 105,CMS,17.90B,24.21,19.96,3.72,2.44,2.82,39.59,-,4.00%,8.92%,4.00%,6.50%,2.80%,62.24,-0.24%,"589,788"
 87 | 106,CNC,48.33B,36.14,12.98,3.38,0.38,1.81,3.60,16.88,-0.60%,16.82%,16.60%,10.69%,37.30%,83.72,2.09%,"934,874"
 88 | 107,CNP,17.06B,19.44,19.15,10.80,2.11,2.02,16.34,-,-229.10%,-5.83%,2.10%,1.80%,0.10%,27.09,0.69%,"1,587,613"
 89 | 108,COF,66.67B,5.78,8.06,0.13,2.59,1.18,2.50,5.55,-53.00%,-4.36%,-5.80%,45.90%,4.90%,159.45,2.78%,"913,166"
 90 | 109,COO,19.72B,6.61,24.08,0.66,6.75,2.77,205.59,37.72,8.70%,13.10%,60.30%,10.00%,8.20%,397.28,1.52%,"64,868"
 91 | 110,COP,118.67B,15.09,11.66,8.50,2.59,2.77,11.29,55.79,-139.20%,-9.72%,6.80%,1.78%,-8.60%,89.36,-2.39%,"4,934,152"
 92 | 111,COST,228.51B,43.59,35.95,4.37,1.13,12.17,16.96,7371.26,25.00%,9.32%,16.20%,9.98%,10.50%,514.39,1.55%,"649,938"
 93 | 112,CPB,13.00B,13.96,15.18,6.17,1.55,4.11,188.36,30.51,69.70%,3.98%,12.80%,2.27%,1.30%,44.27,0.55%,"799,177"
 94 | 113,CPRT,30.82B,29.63,26.56,1.33,10.59,7.67,23.74,46.40,32.90%,7.24%,28.60%,22.30%,16.20%,126.28,2.89%,"458,015"
 95 | 114,CRL,16.95B,42.40,28.24,2.72,4.95,6.80,79.41,37.51,41.90%,12.90%,17.90%,15.56%,16.50%,311.82,-4.77%,"690,139"
 96 | 115,CRM,212.86B,112.36,43.65,11.22,8.52,3.55,22.67,38.75,-4.90%,1.05%,129.30%,10.02%,26.10%,211.84,2.64%,"2,809,510"
 97 | 116,CSCO,228.33B,19.77,14.44,3.03,4.50,5.25,9.78,28.76,-5.20%,7.60%,3.40%,6.53%,0.20%,54.18,1.88%,"8,645,175"
 98 | 117,CSX,76.63B,20.23,17.36,1.23,6.12,5.77,-,36.90,-13.70%,8.74%,12.50%,16.46%,-2.20%,34.68,2.24%,"8,570,579"
 99 | 118,CTAS,39.06B,34.58,30.93,2.91,5.26,10.78,345.04,42.01,26.30%,9.43%,20.60%,11.90%,8.20%,376.37,1.58%,"174,731"
100 | 119,CTLT,18.11B,30.39,23.68,1.92,4.04,3.86,19.79,-,174.00%,11.47%,28.60%,15.80%,16.70%,99.74,0.77%,"507,115"
101 | 120,CTRA,18.02B,26.58,6.82,0.36,10.72,3.99,236.19,60.41,-69.30%,16.56%,30.70%,74.49%,1.60%,22.92,-1.31%,"3,152,939"
102 | 121,CTSH,46.81B,21.29,16.95,1.85,2.53,3.92,19.40,27.60,-21.80%,11.72%,-0.60%,11.49%,6.00%,88.79,2.96%,"1,414,508"
103 | 122,CTVA,37.03B,20.92,17.55,0.93,2.37,1.46,8.15,21.07,149.40%,16.46%,29.80%,22.39%,2.40%,50.97,0.15%,"1,291,182"
104 | 123,CTXS,12.74B,41.87,17.66,6.44,3.96,31.76,28.32,36.77,-20.50%,11.77%,24.40%,6.50%,4.10%,102.07,0.11%,"1,878,210"
105 | 124,CVS,136.59B,17.29,11.48,3.01,0.47,1.81,10.91,10.41,8.80%,8.15%,3.90%,5.74%,10.50%,103.08,0.08%,"2,602,094"
106 | 125,CVX,258.20B,16.80,14.82,-,1.66,1.93,42.80,-,-291.90%,-11.97%,-26.20%,-4.90%,-6.10%,134.48,-1.60%,"8,096,052"
107 | 126,CZR,17.93B,-,76.70,-,2.12,3.55,-,113.51,72.90%,135.80%,-49.90%,27.50%,37.00%,84.74,4.32%,"993,287"
108 | 127,D,63.12B,24.79,17.99,3.62,4.64,2.60,350.66,-,119.90%,6.19%,-11.90%,6.85%,3.90%,78.84,0.11%,"1,007,789"
109 | 128,DAL,27.86B,101.13,7.35,7.60,0.93,10.26,2.11,-,-366.80%,187.94%,-40.40%,13.31%,-15.90%,44.47,5.97%,"10,552,576"
110 | 129,DD,41.64B,24.75,14.39,1.80,2.50,1.55,-,19.83,-314.70%,15.34%,-17.30%,13.73%,-16.00%,81.56,2.82%,"776,926"
111 | 130,DE,119.50B,20.39,15.37,1.59,2.72,6.50,14.91,20.47,118.60%,13.46%,31.60%,12.84%,10.50%,394.89,1.97%,"804,807"
112 | 131,DFS,36.57B,7.43,8.83,0.13,3.43,3.03,2.88,6.98,-60.40%,0.26%,-6.90%,56.42%,6.90%,128.15,3.21%,"873,172"
113 | 132,DG,46.82B,19.64,17.90,2.97,1.38,7.54,95.81,38.17,60.00%,10.18%,21.90%,6.62%,10.60%,200.15,-0.23%,"808,752"
114 | 133,DGX,16.15B,8.38,15.37,-,1.50,2.51,16.36,8.66,70.70%,-6.26%,16.60%,-10.24%,4.70%,131.36,0.82%,"607,862"
115 | 134,DHI,29.67B,6.65,4.97,0.61,1.03,1.88,12.15,142.78,78.00%,5.98%,37.00%,10.95%,18.00%,84.63,2.03%,"1,345,459"
116 | 135,DHR,200.80B,32.07,24.72,1.90,6.82,4.83,78.68,32.47,49.80%,5.01%,14.60%,16.87%,9.10%,271.39,-0.04%,"1,192,280"
117 | 136,DIS,279.59B,87.65,26.85,2.03,3.83,3.05,19.36,188.53,170.70%,29.54%,-28.00%,43.17%,3.90%,154.62,2.50%,"7,595,733"
118 | 137,DISCA,15.11B,15.70,9.20,3.18,1.27,1.28,4.85,7.26,-37.10%,16.12%,11.60%,4.93%,10.80%,30.35,3.18%,"2,233,650"
119 | 138,DISCK,-,19.62,9.19,0.98,-,1.66,-,-,-15.30%,17.70%,-,20.00%,-,30.20,2.98%,"1,627,357"
120 | 139,DISH,16.72B,7.43,11.05,-,0.93,1.09,3.19,5.50,15.90%,-22.53%,11.90%,-,0.30%,32.08,3.60%,"785,556"
121 | 140,DLR,39.75B,57.54,89.33,2.48,9.08,2.33,342.64,-,-57.40%,-39.60%,-8.50%,23.19%,17.20%,137.45,0.96%,"770,981"
122 | 141,DLTR,30.92B,23.12,18.35,1.55,1.19,4.25,44.09,87.50,62.90%,34.31%,34.90%,14.90%,10.50%,138.26,0.95%,"960,549"
123 | 142,DOV,23.75B,20.83,17.03,1.44,3.00,5.96,32.13,31.69,1.90%,9.92%,4.70%,14.50%,-0.80%,163.20,1.27%,"267,681"
124 | 143,DOW,44.65B,7.26,9.23,0.13,0.81,2.47,-,7.07,411.70%,-1.38%,7.80%,56.83%,2.70%,61.91,1.78%,"2,413,903"
125 | 144,DPZ,15.93B,32.73,28.22,2.69,3.64,-,34.47,32.73,29.70%,12.01%,29.00%,12.16%,13.20%,431.36,0.15%,"161,988"
126 | 145,DRE,21.05B,24.28,56.76,4.05,19.04,3.48,2126.68,-,-31.60%,11.61%,8.50%,6.00%,4.60%,54.58,0.06%,"633,779"
127 | 146,DRI,18.63B,20.49,16.97,0.68,2.17,7.29,24.96,39.28,75.60%,12.00%,11.50%,30.10%,0.70%,146.62,2.23%,"394,468"
128 | 147,DTE,22.43B,29.34,18.52,4.89,1.65,2.57,800.99,10.50,-24.90%,5.86%,-3.30%,6.00%,7.10%,117.21,1.00%,"846,758"
129 | 148,DUK,76.93B,20.25,17.34,5.47,3.07,1.62,-,-,-66.40%,5.45%,-14.80%,3.70%,1.30%,99.79,-0.16%,"1,502,755"
130 | 149,DVA,11.56B,12.81,11.19,0.96,1.00,10.36,10.78,10.29,39.30%,23.47%,38.60%,13.37%,-3.50%,116.62,2.61%,"315,143"
131 | 150,DVN,34.14B,30.23,9.48,1.21,3.83,3.93,14.71,12.41,3855.60%,64.25%,26.40%,25.00%,-18.20%,51.29,-1.85%,"7,356,207"
132 | 151,DXC,9.20B,-,8.40,-,0.55,1.92,3.15,13.15,97.10%,19.05%,-27.90%,29.10%,20.10%,37.38,1.89%,"565,450"
133 | 152,DXCM,41.49B,76.52,85.94,4.14,17.89,18.47,15.38,412.79,362.20%,37.79%,55.20%,18.50%,36.80%,415.92,2.19%,"318,862"
134 | 153,EA,37.76B,60.04,17.68,2.59,5.80,4.96,12.52,25.76,-72.20%,9.09%,-3.90%,23.16%,5.10%,133.98,0.43%,"739,889"
135 | 154,EBAY,36.69B,20.73,12.89,1.66,3.44,3.44,2.52,17.11,99.90%,13.74%,17.30%,12.49%,3.60%,59.59,2.42%,"1,615,725"
136 | 155,ECL,53.25B,46.66,32.98,2.69,4.28,7.56,59.30,55.77,-36.60%,16.86%,0.30%,17.33%,-2.70%,182.68,-0.13%,"1,208,682"
137 | 156,ED,29.29B,24.78,18.53,12.39,2.22,1.46,443.75,19.08,-19.50%,5.96%,-4.10%,2.00%,-0.50%,82.00,-1.23%,"535,082"
138 | 157,EFX,27.72B,36.68,21.67,2.70,5.63,7.61,13.69,49.38,228.40%,16.52%,3.60%,13.60%,9.20%,222.43,0.66%,"609,224"
139 | 158,EIX,22.94B,29.96,13.18,5.16,1.56,1.68,43.78,-,-47.50%,2.17%,-8.00%,5.80%,3.30%,60.21,0.25%,"1,080,284"
140 | 159,EL,114.36B,34.33,35.07,2.27,6.45,17.62,24.84,61.52,318.10%,13.76%,21.40%,15.09%,7.60%,309.54,1.87%,"459,104"
141 | 160,EMN,16.32B,19.20,11.42,1.30,1.56,2.67,22.76,17.66,-36.10%,8.91%,-9.20%,14.81%,-2.60%,123.36,2.21%,"388,757"
142 | 161,EMR,57.07B,20.49,17.20,1.96,3.08,5.45,12.08,38.02,18.10%,8.93%,9.30%,10.46%,4.70%,95.00,1.10%,"1,413,000"
143 | 162,ENPH,20.61B,140.97,36.38,9.04,14.91,29.92,14.78,81.11,-22.90%,28.03%,31.30%,15.60%,16.70%,154.25,7.17%,"1,867,212"
144 | 163,EOG,64.03B,21.93,10.64,0.30,4.12,3.03,14.92,12.69,-122.20%,23.49%,33.90%,73.84%,4.80%,110.64,-2.45%,"2,401,277"
145 | 164,EPAM,26.79B,59.37,38.34,2.08,7.94,10.36,21.15,71.70,23.70%,27.07%,28.10%,28.50%,23.80%,459.20,7.30%,"467,518"
146 | 165,EQIX,61.72B,140.95,87.65,3.81,9.51,5.69,44.76,-,-30.20%,38.00%,5.40%,37.00%,17.10%,678.70,1.39%,"196,924"
147 | 166,EQR,32.49B,25.10,49.41,3.86,13.18,3.03,818.27,107.04,-5.70%,19.03%,0.80%,6.50%,-1.30%,86.87,1.11%,"640,486"
148 | 167,ES,28.46B,23.88,20.03,3.79,2.96,1.96,322.63,-,26.00%,6.51%,5.10%,6.30%,2.30%,82.39,0.23%,"1,375,912"
149 | 168,ESS,20.65B,42.20,53.27,5.34,14.34,3.46,413.85,90.70,30.20%,13.60%,20.00%,7.90%,4.60%,320.62,1.35%,"117,747"
150 | 169,ETN,62.32B,28.51,18.34,1.53,3.17,3.80,94.42,56.91,-33.60%,10.70%,-3.70%,18.61%,-3.10%,155.58,2.24%,"1,013,211"
151 | 170,ETR,21.13B,16.89,16.48,2.81,1.85,1.87,21.13,15.76,9.60%,6.25%,55.20%,6.00%,-2.60%,104.00,-0.48%,"469,578"
152 | 171,ETSY,18.25B,41.88,39.75,0.93,8.18,33.88,22.34,30.48,272.90%,17.48%,45.80%,44.90%,44.50%,145.70,2.14%,"1,120,182"
153 | 172,EVRG,14.32B,16.19,17.52,3.16,2.58,1.53,566.12,-,-2.70%,-0.81%,5.40%,5.12%,14.80%,61.69,-0.35%,"717,449"
154 | 173,EW,68.27B,45.23,37.01,2.90,13.05,12.12,38.04,64.97,-21.00%,13.67%,11.70%,15.57%,12.00%,110.00,2.10%,"1,123,798"
155 | 174,EXC,41.20B,24.71,18.81,1.54,1.18,1.22,13.93,-,-33.30%,-20.14%,-4.60%,16.00%,2.30%,41.92,-0.68%,"3,872,598"
156 | 175,EXPD,18.57B,15.82,16.74,2.03,1.30,5.31,10.20,31.90,20.20%,-16.14%,11.10%,7.80%,8.90%,108.04,0.97%,"371,115"
157 | 176,EXPE,30.72B,-,18.35,-,4.24,14.73,7.13,9.99,90.50%,39.68%,-24.40%,22.80%,-0.40%,209.26,6.13%,"3,567,676"
158 | 177,EXR,26.26B,36.10,34.82,6.02,17.47,8.69,400.29,73.19,14.70%,5.92%,18.90%,6.00%,11.60%,193.79,-0.22%,"251,763"
159 | 178,F,72.03B,3.94,7.57,0.05,0.53,1.44,1.45,7.87,363.40%,11.83%,31.10%,74.15%,-2.10%,18.05,3.35%,"35,888,460"
160 | 179,FANG,22.74B,67.71,7.36,1.11,4.10,2.06,49.76,7.91,269.40%,58.66%,-27.70%,61.03%,44.50%,127.11,-2.58%,"1,426,314"
161 | 180,FAST,30.41B,32.39,26.65,5.12,5.06,9.81,128.73,-,7.40%,8.89%,13.20%,6.33%,8.70%,52.35,0.83%,"1,104,686"
162 | 181,FB,615.56B,15.79,14.59,0.74,5.22,4.82,12.82,15.74,36.40%,18.20%,31.60%,21.35%,33.70%,217.90,0.09%,"25,622,955"
163 | 182,FBHS,12.22B,16.13,12.41,1.73,1.60,4.03,26.54,23.73,29.10%,11.78%,16.00%,9.30%,5.90%,90.76,1.70%,"551,144"
164 | 183,FCX,63.95B,22.20,13.78,0.77,3.38,4.67,8.34,10.82,344.60%,-17.91%,15.30%,28.90%,-0.60%,43.17,1.68%,"8,933,075"
165 | 184,FDS,15.16B,37.99,29.27,3.92,9.31,13.71,21.39,41.22,7.40%,9.97%,4.80%,9.70%,7.10%,407.96,1.98%,"81,476"
166 | 185,FDX,62.67B,13.24,9.98,0.75,0.70,2.43,9.17,30.71,276.30%,10.66%,23.10%,17.73%,10.80%,233.85,2.36%,"1,059,083"
167 | 186,FE,22.11B,21.72,15.80,-,2.01,2.96,38.31,-,11.20%,6.35%,6.30%,-6.60%,-6.40%,40.76,0.04%,"1,661,416"
168 | 187,FFIV,12.07B,35.54,15.25,2.78,4.53,4.90,14.05,21.48,6.60%,19.44%,-0.20%,12.80%,5.50%,200.37,3.39%,"265,590"
169 | 188,FIS,68.97B,304.64,15.29,21.27,5.10,1.45,13.90,17.67,-61.90%,11.53%,-35.20%,14.32%,13.70%,101.92,-8.59%,"6,138,512"
170 | 189,FISV,65.81B,49.24,13.20,3.14,4.06,2.05,70.54,19.73,-18.00%,15.03%,-1.30%,15.69%,23.10%,97.04,-0.87%,"2,824,120"
171 | 190,FITB,33.37B,12.93,12.46,-,6.40,1.65,0.88,-,-45.10%,13.72%,-1.80%,-2.98%,6.70%,49.33,2.29%,"1,881,021"
172 | 191,FLT,19.94B,24.50,13.97,1.57,7.04,6.31,15.69,21.23,-18.30%,14.48%,16.10%,15.65%,7.00%,245.70,0.41%,"262,236"
173 | 192,FMC,14.60B,26.10,13.28,3.26,3.12,4.90,42.82,42.93,8.40%,12.70%,38.80%,8.00%,7.20%,117.91,1.87%,"208,267"
174 | 193,FOX,22.74B,13.10,16.49,1.42,1.72,1.93,-,-,-,14.60%,-,9.20%,-,39.08,0.85%,"524,173"
175 | 194,FOXA,23.39B,17.41,11.68,2.90,1.72,2.15,5.50,21.68,122.80%,24.62%,15.90%,6.00%,7.70%,43.02,0.82%,"1,240,530"
176 | 195,FRC,31.49B,22.37,17.97,1.32,7.18,2.57,2.29,-,11.80%,15.80%,12.80%,16.93%,18.30%,173.56,1.04%,"566,933"
177 | 196,FRT,9.48B,39.06,43.28,5.83,10.34,3.78,58.46,131.44,100.70%,20.33%,1.30%,6.70%,3.50%,120.09,1.67%,"182,632"
178 | 197,FTI,2.89B,17.10,37.78,-,0.35,0.86,1.85,4.24,-35.90%,266.70%,-11.63%,-,2.60%,6.68,0.38%,"7,841,989"
179 | 198,FTNT,53.21B,85.43,51.73,4.88,15.92,45.37,17.05,48.01,54.70%,21.07%,129.90%,17.50%,20.80%,318.34,2.58%,"319,337"
180 | 199,FTV,23.50B,39.74,18.91,1.05,4.47,2.51,28.03,-,558.00%,10.90%,9.00%,37.89%,-5.60%,65.81,1.17%,"842,017"
181 | 200,GD,58.03B,18.28,15.13,1.67,1.51,3.33,36.20,28.32,5.00%,15.10%,6.00%,10.95%,4.70%,213.94,1.31%,"337,405"
182 | 201,GE,108.23B,-,18.28,-,1.46,2.83,3.58,1745.61,2450.00%,54.67%,38.20%,7.00%,-8.00%,101.29,4.86%,"3,919,524"
183 | 202,GILD,76.31B,12.38,9.31,165.11,2.79,3.58,13.30,15.44,-97.70%,0.57%,-61.80%,0.07%,-5.40%,61.28,0.27%,"4,994,580"
184 | 203,GIS,40.21B,18.63,17.20,4.03,2.16,4.32,39.38,31.57,6.30%,4.35%,6.40%,4.63%,1.80%,67.10,-0.78%,"1,365,191"
185 | 204,GL,10.59B,14.41,11.36,1.40,2.07,1.23,109.95,8.24,-0.10%,11.62%,10.90%,10.31%,4.70%,105.70,1.61%,"205,520"
186 | 205,GLW,35.76B,34.04,15.38,1.54,2.54,2.90,16.17,38.57,-49.80%,13.63%,-11.70%,22.14%,4.40%,42.18,2.16%,"1,512,438"
187 | 206,GM,72.50B,7.22,6.57,0.47,0.57,1.18,2.53,9.68,54.70%,5.10%,2.20%,15.20%,-3.20%,49.77,2.83%,"8,141,540"
188 | 207,GNRC,17.90B,32.59,23.36,4.07,5.22,9.51,42.24,39.60,37.20%,21.06%,37.40%,8.00%,13.50%,275.00,1.68%,"568,127"
189 | 208,GOOG,1857.57B,26.07,24.10,1.24,7.77,7.35,-,-,84.90%,3.60%,-,21.00%,-,2719.22,0.49%,"697,192"
190 | 209,GOOGL,1849.33B,24.15,20.04,1.15,7.18,7.14,13.24,27.60,91.40%,16.72%,32.10%,21.00%,23.30%,2724.37,0.51%,"751,081"
191 | 210,GPC,18.20B,22.55,17.29,4.90,0.99,5.70,19.80,19.41,-74.60%,9.44%,-24.60%,4.60%,1.60%,129.60,2.00%,"277,464"
192 | 211,GPN,42.30B,44.70,13.21,2.44,4.96,1.64,18.02,20.96,-10.10%,16.75%,-0.90%,18.31%,20.70%,143.81,-2.14%,"1,749,666"
193 | 212,GPS,6.22B,15.49,7.91,3.16,0.38,2.07,5.78,-,-308.80%,43.15%,-24.10%,4.90%,-2.70%,15.37,0.00%,"9,635,091"
194 | 213,GRMN,23.41B,20.61,19.36,2.63,4.74,3.97,11.80,41.53,3.60%,9.67%,16.70%,7.83%,8.20%,120.77,0.01%,"591,214"
195 | 214,GS,123.10B,6.07,8.67,0.51,1.89,1.30,0.58,2.07,17.70%,3.32%,15.30%,11.97%,7.40%,363.58,0.93%,"953,220"
196 | 215,GWW,24.33B,23.38,17.03,1.62,1.87,13.19,74.17,39.95,-16.60%,11.58%,2.30%,14.44%,3.40%,472.77,1.37%,"113,689"
197 | 216,HAL,28.12B,19.84,13.83,0.32,1.84,4.31,9.24,29.56,148.90%,32.88%,17.50%,62.70%,-0.80%,32.40,0.11%,"6,279,159"
198 | 217,HAS,13.12B,27.96,16.10,1.58,2.04,4.33,11.11,16.86,-60.10%,11.99%,-14.60%,17.70%,4.20%,96.69,2.25%,"550,508"
199 | 218,HBAN,22.89B,17.25,10.76,-,5.46,1.33,1.89,28.02,-45.20%,9.95%,-3.00%,-2.15%,11.50%,16.20,3.22%,"2,295,722"
200 | 219,HCA,73.97B,11.07,11.35,0.77,1.26,-,72.03,234.84,8.50%,9.46%,17.00%,14.42%,5.40%,241.77,2.70%,"606,038"
201 | 220,HD,372.14B,23.51,21.70,1.68,2.52,355.11,73.44,71.09,16.50%,4.74%,16.90%,14.00%,8.30%,353.83,0.65%,"1,458,859"
202 | 221,HES,28.18B,52.42,16.75,-,3.77,5.20,11.65,19.02,-641.90%,13.76%,0.90%,-,-6.40%,93.46,-1.34%,"2,096,538"
203 | 222,HIG,24.18B,10.49,8.80,0.90,1.08,1.37,104.22,6.83,-16.20%,16.71%,11.10%,11.71%,5.00%,71.41,2.51%,"680,613"
204 | 223,HII,7.09B,13.40,10.28,19.15,0.74,2.60,11.32,29.20,-21.30%,18.73%,2.10%,0.70%,6.10%,182.26,0.55%,"146,155"
205 | 224,HLT,43.53B,1231.14,36.94,-,8.99,-,33.79,-,-185.00%,85.90%,-24.40%,-,-9.60%,157.44,3.97%,"2,380,408"
206 | 225,HOLX,17.86B,10.56,18.34,6.21,3.25,3.94,12.57,8.19,71.00%,-25.18%,44.20%,1.70%,14.70%,70.44,0.18%,"637,202"
207 | 226,HON,131.79B,23.60,19.42,2.25,3.83,7.22,10.86,52.97,-16.30%,11.53%,2.20%,10.50%,-3.30%,189.48,1.49%,"1,305,034"
208 | 227,HPE,22.01B,6.57,7.69,0.37,0.79,1.11,5.51,8.02,3.10%,8.03%,6.70%,17.77%,-1.70%,17.43,3.35%,"3,178,774"
209 | 228,HPQ,40.36B,6.69,8.31,0.39,0.64,-,9.38,8.25,166.10%,5.33%,28.40%,17.29%,5.60%,37.31,2.18%,"3,632,493"
210 | 229,HRL,25.33B,28.59,22.48,4.03,2.22,3.69,39.90,102.78,-0.10%,7.76%,0.20%,7.10%,3.60%,47.53,0.14%,"861,628"
211 | 230,HSIC,10.53B,17.24,16.38,0.93,0.86,3.05,88.43,14.57,-40.20%,1.09%,-0.30%,18.56%,-1.00%,80.92,6.77%,"990,592"
212 | 231,HST,13.14B,-,102.46,-,6.09,2.09,11.18,-,-182.40%,152.00%,-27.70%,28.40%,-21.30%,18.57,3.57%,"5,009,285"
213 | 232,HSY,41.53B,28.60,24.06,3.23,4.63,11.71,61.48,42.39,11.90%,6.46%,21.30%,8.86%,2.00%,204.34,0.49%,"378,418"
214 | 233,HUM,54.98B,18.51,15.33,1.31,0.66,3.32,12.77,473.98,26.00%,13.42%,24.60%,14.18%,7.30%,421.71,0.49%,"404,692"
215 | 234,HWM,14.46B,58.44,18.46,1.81,2.91,4.15,19.97,1807.37,65.70%,31.95%,23.60%,32.25%,-15.80%,35.18,3.26%,"1,043,057"
216 | 235,IBM,117.45B,25.02,12.31,1.52,2.05,5.25,14.58,-,-59.10%,6.75%,-20.30%,16.50%,-7.60%,130.21,0.05%,"2,067,565"
217 | 236,ICE,70.58B,17.39,20.49,1.75,7.70,3.07,116.28,32.13,90.80%,9.16%,24.60%,9.91%,9.00%,125.62,0.62%,"927,461"
218 | 237,IDXX,43.79B,58.76,45.86,2.43,13.62,56.99,301.61,63.08,37.30%,16.30%,26.70%,24.20%,11.10%,509.30,0.75%,"221,720"
219 | 238,IEX,14.94B,32.60,25.33,2.72,5.40,5.34,18.53,43.31,-11.10%,9.80%,6.40%,12.00%,3.10%,191.94,0.14%,"249,044"
220 | 239,IFF,34.14B,103.71,19.47,18.72,4.22,1.56,50.81,69.62,-20.60%,15.55%,-9.30%,5.54%,11.00%,134.36,2.09%,"326,181"
221 | 240,ILMN,55.72B,65.32,61.74,65.32,12.31,4.73,44.05,62.05,-34.10%,26.99%,7.40%,1.00%,7.90%,340.39,3.32%,"454,597"
222 | 241,INCY,14.64B,15.45,13.97,1.03,4.90,3.87,6.24,25.76,415.00%,31.29%,51.40%,15.00%,22.00%,67.45,2.17%,"1,124,452"
223 | 242,INFO,43.99B,35.90,27.36,3.23,9.44,4.54,150.08,50.37,38.70%,11.02%,46.00%,11.12%,11.20%,109.08,1.19%,"799,141"
224 | 243,INTC,198.70B,9.79,12.77,2.90,2.51,2.03,6.99,8.73,-1.60%,5.28%,18.10%,3.38%,5.90%,48.13,1.16%,"17,689,858"
225 | 244,INTU,155.90B,69.95,38.73,4.02,15.11,14.84,47.97,59.62,9.20%,16.76%,20.00%,17.40%,15.50%,524.34,-0.89%,"1,193,274"
226 | 245,IP,17.92B,13.72,9.82,0.71,0.85,1.89,8.45,-,-81.10%,8.26%,-22.10%,19.20%,-3.20%,46.83,1.30%,"1,151,912"
227 | 246,IPG,14.22B,14.70,12.42,2.63,1.39,4.35,5.71,7.66,-46.80%,6.28%,-4.00%,5.60%,3.50%,36.24,3.31%,"1,794,717"
228 | 247,IPGP,8.22B,30.16,24.84,1.19,5.74,2.86,5.41,30.37,-11.40%,15.72%,-8.10%,25.40%,5.90%,135.88,-7.37%,"700,466"
229 | 248,IQV,46.98B,61.03,23.65,2.72,3.47,7.88,29.85,19.84,49.50%,13.79%,-14.20%,22.47%,14.60%,226.66,-5.52%,"1,765,322"
230 | 249,IR,22.76B,44.50,23.18,2.08,4.34,2.56,11.19,31.12,-111.40%,16.52%,45.70%,21.39%,18.20%,55.17,2.55%,"1,660,143"
231 | 250,IRM,12.74B,19.92,26.41,3.10,2.90,12.99,78.91,-,27.80%,10.20%,15.40%,6.44%,6.60%,44.08,0.99%,"552,734"
232 | 251,ISRG,103.89B,60.32,47.47,3.16,18.19,8.45,23.93,59.85,58.60%,18.04%,17.40%,19.11%,16.10%,288.50,2.62%,"589,619"
233 | 252,IT,23.93B,31.27,34.21,1.45,5.05,72.14,31.26,20.37,15.60%,17.68%,7.50%,21.60%,13.60%,295.14,2.27%,"249,354"
234 | 253,ITW,69.46B,25.75,21.86,2.33,4.81,19.75,34.96,74.37,-14.40%,9.56%,5.20%,11.03%,-1.30%,221.05,0.86%,"472,709"
235 | 254,IVZ,10.79B,7.62,7.14,0.48,1.56,0.96,6.08,10.98,-11.60%,8.20%,-12.90%,15.86%,3.60%,23.47,2.83%,"1,971,972"
236 | 255,J,15.96B,54.80,14.82,4.45,1.13,2.57,-,23.54,17.10%,14.63%,12.50%,12.33%,5.10%,123.21,2.11%,"254,738"
237 | 256,JBHT,20.38B,26.96,20.31,0.96,1.67,6.93,38.48,61.70,-0.60%,10.22%,5.30%,28.04%,9.30%,194.40,0.99%,"246,220"
238 | 257,JCI,48.05B,30.43,16.97,1.58,1.99,2.72,39.81,46.34,150.60%,19.45%,13.90%,19.20%,2.60%,68.06,2.35%,"2,266,097"
239 | 258,JKHY,12.34B,36.53,32.82,2.61,6.62,9.84,424.22,42.03,6.80%,8.29%,5.70%,14.00%,5.40%,169.25,-0.55%,"212,314"
240 | 259,JNJ,440.40B,21.20,15.08,3.31,4.70,6.20,14.21,37.33,-4.20%,4.41%,-0.30%,6.40%,3.30%,167.25,1.00%,"3,062,733"
241 | 260,JNPR,11.17B,44.40,15.00,4.75,2.36,2.50,8.39,34.99,-22.40%,13.56%,-13.50%,9.35%,-1.80%,34.68,2.63%,"1,236,352"
242 | 261,JPM,456.59B,9.94,12.27,0.88,7.89,1.79,0.27,-,-17.20%,11.41%,8.10%,11.30%,4.80%,155.06,1.69%,"5,439,134"
243 | 262,K,21.99B,14.95,15.01,5.43,1.55,6.34,-,66.65,32.90%,4.94%,16.60%,2.75%,0.40%,64.91,0.25%,"1,251,251"
244 | 263,KEY,24.43B,9.90,11.06,-,5.59,1.56,10.75,25.08,-21.90%,8.52%,3.50%,-1.92%,12.30%,26.53,2.41%,"3,118,501"
245 | 264,KEYS,31.10B,34.69,22.18,2.89,6.29,8.11,15.15,27.09,44.10%,8.43%,19.70%,12.00%,11.10%,169.43,2.11%,"453,362"
246 | 265,KHC,41.80B,19.31,13.27,-,1.59,0.85,18.39,33.79,-85.80%,-5.99%,24.70%,-4.17%,7.40%,34.63,0.12%,"3,457,422"
247 | 266,KIM,14.48B,15.41,30.30,3.35,10.61,1.29,29.94,79.02,181.30%,15.81%,2.40%,4.60%,-1.90%,23.88,2.47%,"3,264,827"
248 | 267,KLAC,58.09B,18.79,15.32,0.91,7.11,13.64,20.67,30.01,73.60%,15.60%,24.40%,20.70%,18.30%,384.15,5.20%,"769,521"
249 | 268,KMB,44.11B,24.70,18.61,3.00,2.27,86.52,163.36,213.08,-22.00%,20.18%,-2.20%,8.22%,1.20%,132.29,-0.06%,"547,454"
250 | 269,KMI,38.22B,22.07,15.71,-,2.30,1.27,33.53,19.27,48.90%,3.80%,25.80%,-3.62%,4.90%,17.08,-0.61%,"8,019,831"
251 | 270,KMX,18.29B,15.30,14.82,0.93,0.62,3.52,292.15,-,-15.10%,1.97%,8.30%,16.40%,4.60%,112.93,1.78%,"468,281"
252 | 271,KO,266.84B,26.91,23.04,3.72,6.90,11.81,17.95,103.31,-13.30%,7.60%,1.40%,7.23%,-5.70%,61.10,0.69%,"7,478,575"
253 | 272,KR,32.80B,34.30,13.23,5.21,0.24,3.56,14.33,14.10,60.60%,-1.60%,9.70%,6.58%,3.80%,46.50,1.77%,"2,696,904"
254 | 273,L,15.29B,10.10,-,0.72,1.04,0.86,24.62,7.36,282.60%,-,25.70%,14.03%,2.20%,61.67,0.88%,"274,210"
255 | 274,LDOS,12.09B,16.16,12.75,1.71,0.90,2.99,20.60,27.61,-5.20%,3.18%,5.80%,9.45%,21.10%,84.76,-2.98%,"1,127,655"
256 | 275,LEN,26.65B,6.33,5.30,0.27,0.98,1.31,9.12,12.35,81.30%,7.40%,29.40%,23.70%,19.90%,92.00,1.56%,"738,416"
257 | 276,LH,26.65B,11.19,14.80,-,1.65,2.50,13.09,9.40,90.00%,-4.36%,29.60%,-12.49%,10.00%,265.29,-2.71%,"1,054,983"
258 | 277,LHX,41.63B,24.15,14.94,3.89,2.34,2.25,36.98,24.87,41.10%,8.11%,1.30%,6.20%,24.90%,217.76,-0.94%,"696,341"
259 | 278,LIN,157.65B,40.06,22.44,2.31,5.12,3.41,33.54,55.88,17.40%,10.97%,-2.60%,17.32%,20.40%,302.01,2.90%,"901,530"
260 | 279,LKQ,16.02B,15.62,13.46,0.47,1.25,2.68,39.78,10.85,20.40%,3.36%,8.80%,33.50%,10.10%,55.09,2.45%,"495,350"
261 | 280,LLY,228.22B,38.29,24.40,3.61,8.06,27.42,59.66,85.14,36.90%,12.11%,24.60%,10.60%,4.20%,244.40,4.14%,"1,412,425"
262 | 281,LMT,102.52B,16.99,13.81,2.07,1.53,9.64,28.45,21.54,-7.10%,5.41%,13.50%,8.20%,7.20%,385.12,-0.48%,"1,107,261"
263 | 282,LNC,13.07B,9.60,6.81,0.27,0.68,0.63,5.00,-,-44.70%,22.30%,-12.10%,35.73%,5.00%,72.91,2.78%,"1,526,177"
264 | 283,LNT,14.18B,22.44,20.76,3.68,3.99,2.38,709.17,-,5.90%,4.02%,7.90%,6.10%,1.00%,56.63,-0.41%,"297,955"
265 | 284,LOW,153.24B,19.62,17.46,1.17,1.61,-,-,30.75,41.20%,8.23%,23.20%,16.80%,8.70%,228.90,1.31%,"922,768"
266 | 285,LRCX,82.73B,17.39,14.61,1.09,5.01,12.12,15.52,25.37,78.10%,16.03%,38.80%,15.94%,20.00%,589.04,5.52%,"675,713"
267 | 286,LUMN,10.89B,5.20,8.66,-,0.55,0.94,17.15,4.51,76.80%,-22.39%,-22.20%,-,3.00%,10.06,1.54%,"12,647,043"
268 | 287,LUV,27.47B,28.31,13.89,-,1.74,2.59,1.77,11.86,129.50%,187.93%,-14.20%,-,-4.90%,47.21,4.03%,"4,380,141"
269 | 288,LVS,36.47B,-,19.90,-,8.61,17.70,19.67,-,20.00%,374.85%,-22.10%,-1.75%,-17.80%,47.55,2.90%,"3,403,905"
270 | 289,LW,9.49B,49.57,23.44,3.95,2.44,26.15,15.26,31.69,-13.10%,78.32%,2.40%,12.55%,4.20%,66.78,2.14%,"236,058"
271 | 290,LYB,33.43B,5.83,6.54,3.76,0.81,2.83,17.33,29.35,-55.80%,1.41%,-15.00%,1.55%,-3.20%,102.11,1.96%,"622,290"
272 | 291,LYV,26.61B,-,133.72,-,7.00,-,5.75,34.66,67.00%,130.60%,22.50%,-,-23.80%,118.93,3.18%,"1,134,487"
273 | 292,MA,372.23B,42.71,29.01,1.69,19.71,50.22,47.15,50.89,37.40%,23.99%,18.90%,25.24%,11.90%,382.24,2.16%,"2,723,635"
274 | 293,MAA,24.69B,61.07,53.83,8.72,14.43,4.03,828.37,516.43,-25.90%,14.29%,-13.00%,7.00%,10.00%,209.81,1.07%,"123,365"
275 | 294,MAR,57.38B,121.17,32.68,-,4.95,61.19,74.32,94.21,-121.60%,80.63%,-17.70%,-,-6.10%,179.39,4.70%,"2,761,541"
276 | 295,MAS,13.86B,34.99,12.30,2.27,1.66,-,14.97,23.46,-46.90%,11.28%,1.90%,15.40%,2.60%,58.23,1.71%,"1,169,423"
277 | 296,MCD,190.61B,25.25,22.80,1.95,8.21,-,-,58.35,-21.00%,9.51%,5.60%,12.97%,-5.40%,255.05,0.66%,"970,429"
278 | 297,MCHP,41.58B,37.29,13.82,1.82,6.45,6.81,131.79,23.57,16.00%,14.13%,11.60%,20.50%,20.10%,74.42,4.54%,"1,321,895"
279 | 298,MCK,40.90B,30.23,11.76,2.33,0.16,-,14.85,10.18,-667.60%,-3.70%,-37.30%,12.96%,4.50%,274.52,1.42%,"488,167"
280 | 299,MCO,63.36B,27.45,23.00,2.17,10.19,24.77,27.04,33.14,26.60%,11.03%,15.20%,12.67%,9.00%,330.13,2.06%,"307,948"
281 | 300,MDLZ,91.92B,21.74,20.05,2.63,3.20,3.26,25.92,68.09,23.40%,8.48%,24.00%,8.25%,2.10%,65.98,-0.24%,"2,513,946"
282 | 301,MDT,140.09B,29.46,16.68,2.57,4.41,2.65,13.13,55.63,-26.10%,8.34%,0.80%,11.46%,0.90%,103.71,1.37%,"3,151,263"
283 | 302,MET,58.55B,9.60,8.73,1.91,0.82,0.87,3.09,5.31,-6.20%,11.12%,10.50%,5.02%,2.00%,71.69,2.22%,"1,587,446"
284 | 303,MGM,21.68B,-,30.56,-,3.32,3.13,3.89,-,-152.00%,64.90%,-19.60%,-,-10.90%,44.94,0.64%,"2,800,609"
285 | 304,MHK,10.28B,9.23,8.27,0.42,0.93,1.13,9.11,8.96,-29.90%,12.90%,-2.80%,22.10%,3.40%,149.52,3.96%,"426,221"
286 | 305,MKC,26.78B,35.87,29.44,4.98,4.24,6.09,76.15,143.22,0.80%,7.23%,8.70%,7.20%,7.40%,100.37,-0.03%,"420,614"
287 | 306,MKTX,13.78B,54.72,44.46,3.82,19.71,13.17,31.84,96.95,45.40%,12.39%,25.20%,14.34%,17.90%,381.51,3.02%,"100,388"
288 | 307,MLM,23.50B,32.90,21.46,1.83,4.34,3.62,9.87,40.62,18.50%,22.18%,21.90%,17.97%,6.00%,384.62,4.22%,"229,398"
289 | 308,MMC,77.25B,24.75,20.44,3.21,3.90,7.89,55.26,33.59,15.50%,10.63%,5.70%,7.70%,6.00%,153.42,1.13%,"741,093"
290 | 309,MMM,90.35B,15.62,14.27,2.09,2.56,6.04,18.96,37.17,8.10%,6.92%,4.40%,7.47%,3.30%,157.96,-0.03%,"1,750,442"
291 | 310,MNST,44.23B,28.92,28.10,2.08,8.33,6.99,15.06,33.82,30.00%,13.57%,22.70%,13.92%,11.10%,82.45,-0.15%,"2,353,628"
292 | 311,MO,91.67B,20.37,9.74,3.80,3.47,-,31.00,-,470.60%,6.11%,-2.00%,5.36%,0.60%,50.30,0.42%,"2,721,753"
293 | 312,MOS,16.57B,9.60,5.80,1.37,1.51,1.63,19.66,28.10,160.60%,48.14%,-9.50%,7.00%,-0.50%,45.63,2.26%,"4,122,875"
294 | 313,MPC,47.86B,37.97,15.16,1.26,0.40,1.77,3.62,32.23,-716.80%,5.73%,-39.20%,30.11%,-0.60%,78.92,-0.30%,"2,604,238"
295 | 314,MRK,192.96B,15.72,10.68,1.64,3.96,5.40,-,-,-28.00%,-1.78%,12.20%,9.57%,4.00%,77.74,1.66%,"6,228,084"
296 | 315,MRNA,57.44B,8.75,5.03,0.52,4.86,5.69,6.45,5.04,-26.10%,6.47%,-,16.80%,-,149.66,5.05%,"8,237,499"
297 | 316,MRO,15.92B,-,9.74,-,3.55,1.55,-,11.64,-409.20%,64.05%,6.10%,-2.40%,-8.60%,20.55,-3.11%,"14,712,959"
298 | 317,MS,189.33B,12.77,12.08,1.72,3.10,1.86,1.53,-,24.60%,11.56%,17.30%,7.44%,6.60%,103.70,1.10%,"3,859,462"
299 | 318,MSCI,44.83B,61.29,40.03,4.41,21.94,-,34.90,74.86,6.90%,16.83%,27.50%,13.90%,9.50%,542.64,1.81%,"204,058"
300 | 319,MSFT,2266.60B,31.39,27.37,1.80,12.26,13.84,18.08,52.23,39.70%,15.33%,25.70%,17.40%,13.00%,298.91,1.33%,"14,709,564"
301 | 320,MSI,37.09B,29.83,19.27,2.09,4.54,-,22.44,31.84,10.30%,12.58%,11.40%,14.28%,5.40%,221.17,3.44%,"852,212"
302 | 321,MTB,23.32B,13.87,12.43,2.73,5.79,1.47,0.57,15.55,-27.70%,29.24%,6.70%,5.08%,5.70%,183.55,1.74%,"291,563"
303 | 322,MTCH,32.68B,137.08,34.36,8.57,10.95,-,62.46,40.82,5.00%,27.54%,23.50%,16.00%,21.30%,117.48,3.25%,"743,774"
304 | 323,MTD,34.62B,44.39,33.32,2.49,9.57,205.23,188.48,44.53,10.90%,12.15%,14.80%,17.80%,5.20%,1437.93,1.54%,"53,906"
305 | 324,MU,102.04B,13.90,7.72,0.58,3.44,2.19,10.65,27.07,116.20%,29.77%,84.30%,23.80%,17.40%,94.60,5.27%,"16,451,141"
306 | 325,NCLH,9.28B,-,-,-,54.56,2.71,4.80,-,-466.60%,99.70%,-60.00%,-,-21.70%,22.44,6.40%,"13,862,442"
307 | 326,NDAQ,29.55B,24.38,20.36,2.40,5.02,4.54,60.56,80.75,20.60%,7.31%,17.50%,10.18%,10.60%,174.92,1.74%,"324,719"
308 | 327,NEE,147.96B,41.37,24.83,4.51,8.67,4.01,213.82,32.07,-23.10%,8.06%,0.20%,9.17%,0.60%,75.35,0.57%,"4,555,630"
309 | 328,NEM,48.64B,26.18,20.38,-,3.98,2.26,10.15,34.37,-15.30%,7.31%,-,-,13.60%,63.27,-1.68%,"3,596,290"
310 | 329,NFLX,182.79B,37.14,27.85,2.20,6.16,11.10,30.33,-,81.30%,29.84%,90.50%,16.86%,27.50%,407.10,2.65%,"3,157,282"
311 | 330,NI,11.06B,25.30,19.59,7.19,2.35,2.34,287.17,15.46,-121.70%,6.93%,-18.40%,3.52%,0.10%,28.53,0.42%,"1,942,044"
312 | 331,NKE,231.31B,37.12,29.49,2.33,5.00,15.01,15.32,49.06,123.10%,29.64%,10.50%,15.96%,6.60%,146.01,3.12%,"2,831,410"
313 | 332,NLOK,17.44B,18.84,15.54,1.52,6.34,-,9.79,25.06,29.00%,9.15%,24.10%,12.40%,-6.70%,28.96,-1.76%,"1,916,730"
314 | 333,NLSN,6.61B,18.80,9.92,3.55,1.55,2.08,12.20,11.25,98.60%,5.91%,-15.00%,5.30%,0.40%,18.46,2.84%,"982,828"
315 | 334,NOC,58.33B,8.96,14.46,1.87,1.64,4.75,16.52,49.90,128.80%,8.73%,30.90%,4.80%,7.60%,386.41,-1.07%,"390,631"
316 | 335,NOW,121.22B,511.09,62.09,19.58,20.56,31.26,36.69,67.38,93.40%,26.49%,19.60%,26.10%,33.50%,587.11,1.30%,"529,302"
317 | 336,NRG,9.58B,3.89,11.25,0.10,0.44,2.32,36.97,5.60,-86.70%,-63.53%,16.10%,37.90%,-5.90%,38.86,0.46%,"554,492"
318 | 337,NSC,66.53B,22.46,17.84,1.70,5.97,4.83,79.30,37.87,54.50%,10.04%,16.60%,13.18%,2.40%,275.80,1.30%,"487,341"
319 | 338,NTAP,19.73B,21.30,15.85,2.42,3.26,25.82,4.34,22.73,-8.10%,9.49%,33.20%,8.80%,0.70%,90.21,2.76%,"613,797"
320 | 339,NTRS,25.66B,17.03,13.43,1.29,3.99,2.30,6.12,-,-17.60%,18.15%,6.50%,13.16%,5.20%,125.34,3.15%,"312,750"
321 | 340,NUE,34.44B,9.22,15.80,0.24,1.23,2.54,17.12,33.39,-42.90%,-61.46%,57.10%,37.75%,4.10%,121.63,3.65%,"962,856"
322 | 341,NVDA,654.17B,74.92,47.05,1.90,26.95,25.49,33.90,96.79,52.50%,18.71%,44.90%,39.37%,27.20%,262.92,8.34%,"48,664,252"
323 | 342,NVR,17.77B,15.50,10.23,3.23,1.98,5.88,6.57,16.75,4.10%,8.64%,20.70%,4.80%,7.90%,5032.04,1.09%,"45,522"
324 | 343,NWL,9.54B,17.65,12.12,4.18,0.91,2.61,19.32,13.56,-513.60%,10.12%,-31.30%,4.22%,9.70%,25.86,3.79%,"2,960,492"
325 | 344,NWS,13.30B,27.23,-,-,1.36,1.63,-,-,-,-,-,-,-,23.33,3.23%,"157,596"
326 | 345,NWSA,13.52B,26.71,19.22,1.27,1.35,1.57,6.19,16.49,125.80%,20.60%,14.90%,21.06%,2.40%,23.00,3.25%,"2,038,405"
327 | 346,NXPI,52.69B,27.24,13.51,1.62,4.76,7.35,22.88,26.61,-78.40%,6.77%,-50.40%,16.83%,7.10%,194.13,4.44%,"1,091,044"
328 | 347,O,37.71B,52.88,39.00,9.70,20.75,1.97,72.93,170.78,-17.10%,26.94%,1.10%,5.45%,10.00%,67.54,0.97%,"1,478,379"
329 | 348,ODFL,35.12B,33.06,24.51,1.14,6.68,9.92,62.20,65.96,11.20%,10.85%,19.00%,28.91%,6.20%,297.57,1.23%,"288,113"
330 | 349,OGN,8.65B,6.10,5.99,-,1.10,-,8.58,3.37,-32.90%,-10.92%,-,-5.50%,-,35.12,2.15%,"1,120,495"
331 | 350,OKE,27.41B,19.71,16.63,2.00,2.00,4.81,122.20,-,-53.90%,11.20%,3.50%,9.86%,1.90%,62.58,-0.54%,"1,012,641"
332 | 351,OMC,18.03B,13.28,12.00,1.25,1.26,5.50,-,26.24,45.80%,7.23%,6.00%,10.60%,-1.50%,86.00,1.49%,"785,301"
333 | 352,ORCL,221.51B,22.92,15.03,2.38,5.35,-,9.70,58.71,47.80%,8.87%,17.10%,9.64%,1.80%,79.67,0.91%,"2,935,068"
334 | 353,ORLY,43.89B,21.25,18.22,1.28,3.29,-,97.68,17.23,31.60%,12.08%,20.70%,16.60%,7.80%,675.97,2.26%,"335,013"
335 | 354,OTIS,34.70B,27.61,21.63,2.36,2.43,-,22.17,28.90,38.50%,12.27%,-,11.68%,-,79.50,-0.31%,"1,863,962"
336 | 355,OXY,36.45B,-,11.57,-,1.63,4.23,17.70,5.89,155.00%,63.94%,-8.00%,37.40%,7.30%,39.61,-3.92%,"16,501,244"
337 | 356,PAYC,21.63B,119.30,49.80,4.70,23.22,24.26,93.68,133.78,-20.40%,26.40%,47.10%,25.40%,30.20%,347.30,0.46%,"153,814"
338 | 357,PAYX,43.27B,33.60,30.36,2.72,9.99,13.70,42.75,100.02,-0.40%,7.58%,7.70%,12.37%,6.60%,119.73,1.06%,"681,929"
339 | 358,PBCT,8.91B,14.89,16.91,1.39,5.56,1.16,1.06,10.44,-61.80%,1.83%,-10.80%,10.74%,11.20%,21.12,1.93%,"1,563,441"
340 | 359,PCAR,32.34B,17.49,11.70,0.76,1.37,2.85,8.56,24.50,-45.60%,14.15%,-3.70%,23.11%,-0.40%,95.03,2.20%,"586,432"
341 | 360,PEAK,17.16B,150.70,65.24,51.97,9.05,2.66,108.42,-,-20.10%,29.13%,-22.50%,2.90%,-2.30%,32.15,0.17%,"1,539,485"
342 | 361,PEG,32.70B,-,18.58,-,3.61,2.32,18.06,-,12.50%,-3.99%,2.60%,3.30%,-1.60%,64.88,0.17%,"1,578,752"
343 | 362,PENN,8.34B,21.35,18.71,-,1.56,2.45,3.06,9.85,154.60%,31.63%,36.33%,-,4.70%,49.78,4.12%,"1,746,529"
344 | 363,PEP,230.20B,29.65,22.92,3.83,2.90,14.40,38.44,195.75,9.90%,8.38%,5.20%,7.75%,4.80%,166.23,-0.28%,"1,827,047"
345 | 364,PFE,278.53B,12.76,9.39,1.31,3.43,3.69,9.38,-,-36.50%,-24.11%,1.20%,9.77%,-3.10%,49.51,-0.59%,"18,676,933"
346 | 365,PFG,20.33B,11.93,10.91,0.87,1.46,1.24,6.46,9.71,1.70%,3.50%,4.50%,13.73%,4.20%,76.00,2.43%,"536,685"
347 | 366,PG,377.83B,27.70,24.44,3.90,4.82,8.65,32.73,60.34,10.90%,8.56%,9.50%,7.10%,3.10%,157.42,0.44%,"3,451,837"
348 | 367,PGR,62.32B,18.75,17.88,-,1.31,3.44,230.31,12.76,43.90%,27.19%,35.00%,-10.10%,15.40%,106.07,-0.13%,"1,106,827"
349 | 368,PH,39.19B,21.74,15.11,1.91,2.56,4.42,79.98,26.30,44.10%,8.90%,17.80%,11.37%,4.80%,308.52,2.45%,"357,130"
350 | 369,PHM,12.06B,6.38,4.20,0.27,0.87,1.61,6.78,15.39,43.50%,11.17%,33.50%,23.70%,12.70%,49.01,2.49%,"885,582"
351 | 370,PKG,14.05B,16.64,14.10,4.19,1.82,3.84,7.85,21.74,-34.00%,2.42%,1.70%,3.97%,3.00%,148.90,1.28%,"290,111"
352 | 371,PKI,23.33B,22.40,25.29,0.59,4.60,2.98,47.87,17.30,212.40%,2.99%,31.30%,37.90%,12.40%,180.26,-0.48%,"289,948"
353 | 372,PLD,109.11B,36.87,46.67,-,22.93,3.22,196.21,113.73,96.40%,18.49%,11.70%,-6.05%,13.40%,146.37,0.71%,"1,027,903"
354 | 373,PM,165.51B,18.75,15.47,1.67,5.27,-,36.81,45.48,13.00%,11.97%,5.40%,11.22%,3.30%,109.37,0.12%,"3,318,058"
355 | 374,PNC,87.82B,15.60,12.80,-,8.18,1.55,1.04,34.41,-33.50%,14.47%,-3.00%,-3.80%,3.90%,206.85,1.11%,"1,577,360"
356 | 375,PNR,10.01B,17.76,14.74,2.02,2.66,4.18,57.79,20.75,0.50%,6.64%,-0.60%,8.80%,-8.20%,59.89,1.57%,"356,057"
357 | 376,PNW,7.69B,14.87,17.24,148.66,2.05,1.27,299.12,-,20.50%,-24.65%,2.50%,0.10%,0.50%,68.24,-0.23%,"220,035"
358 | 377,POOL,18.37B,30.52,26.70,1.80,3.60,18.35,219.96,80.59,40.20%,11.18%,25.40%,17.00%,10.70%,458.86,1.76%,"141,852"
359 | 378,PPG,36.36B,25.17,16.56,1.52,2.16,5.68,27.88,24.18,-14.90%,19.59%,-1.50%,16.60%,-0.60%,152.28,2.02%,"403,526"
360 | 379,PPL,21.39B,132.48,17.80,-,3.43,1.49,4.49,-,-19.40%,35.81%,-4.40%,-,-0.20%,28.41,0.19%,"1,636,136"
361 | 380,PRU,44.33B,6.39,8.74,1.37,0.69,0.72,2.84,-,-113.60%,11.33%,-16.10%,4.65%,-0.10%,118.21,2.09%,"811,372"
362 | 381,PSA,62.53B,42.51,38.21,2.50,19.23,12.43,65.25,86.91,-13.80%,5.15%,0.70%,17.00%,4.10%,354.29,-0.38%,"168,346"
363 | 382,PSX,38.09B,-,11.49,-,0.40,2.20,13.15,-,-232.00%,3.02%,-26.00%,13.00%,-8.30%,89.12,-1.55%,"1,534,299"
364 | 383,PTC,13.57B,26.60,22.16,2.34,7.39,6.72,-,36.91,258.40%,16.65%,60.00%,11.35%,9.60%,112.39,0.43%,"287,831"
365 | 384,PVH,7.08B,13.96,9.70,-,0.80,1.33,5.45,11.51,-385.30%,7.70%,-34.00%,-6.04%,-2.30%,100.63,3.51%,"513,839"
366 | 385,PWR,14.59B,26.15,16.31,1.66,1.22,3.01,8.60,58.49,12.60%,27.36%,37.80%,15.74%,8.10%,103.66,4.22%,"503,672"
367 | 386,PXD,52.62B,44.03,10.56,-,3.68,2.36,72.58,15.20,-126.30%,64.94%,7.50%,-,19.50%,217.67,-2.85%,"1,952,839"
368 | 387,PYPL,137.25B,32.49,19.73,1.75,5.41,6.17,14.45,25.27,-0.70%,24.10%,25.00%,18.60%,18.50%,115.35,1.08%,"11,177,115"
369 | 388,QCOM,196.76B,18.93,13.12,1.29,5.46,16.38,17.40,44.90,74.00%,6.24%,15.60%,14.68%,7.30%,171.99,4.15%,"4,828,481"
370 | 389,QRVO,14.74B,13.07,9.83,0.90,3.24,3.04,14.91,17.02,125.60%,10.60%,101.40%,14.50%,9.00%,134.65,4.13%,"685,725"
371 | 390,RCL,24.47B,-,13.39,-,15.97,3.26,7.44,-,-402.20%,102.40%,-61.40%,-,-23.30%,85.84,3.73%,"2,228,048"
372 | 391,RE,11.40B,8.23,7.48,-,1.01,1.15,10.67,3.84,-51.60%,15.84%,-11.50%,-,10.10%,300.48,2.51%,"101,015"
373 | 392,REG,11.77B,33.48,30.42,3.68,10.44,1.83,32.74,41.47,-81.40%,10.07%,-27.90%,9.10%,12.30%,67.15,3.05%,"517,082"
374 | 393,REGN,65.54B,8.65,13.22,-,4.08,3.53,11.51,10.04,135.80%,1.22%,56.40%,-,27.00%,629.04,0.88%,"338,972"
375 | 394,RF,23.46B,9.85,10.81,0.39,5.75,1.38,0.85,16.41,-31.50%,9.67%,6.30%,25.10%,3.40%,25.36,3.45%,"4,055,383"
376 | 395,RHI,13.50B,22.30,18.36,1.92,2.09,10.02,21.30,63.26,-30.80%,7.74%,0.10%,11.60%,0.10%,122.46,2.41%,"451,209"
377 | 396,RJF,23.21B,15.10,12.13,1.77,2.22,2.63,2.82,10.92,71.00%,20.07%,22.20%,8.54%,12.40%,112.44,2.70%,"346,086"
378 | 397,RL,9.00B,18.37,13.73,-,1.50,3.29,3.01,14.37,-143.50%,8.25%,-18.30%,-,-9.90%,128.54,4.90%,"637,704"
379 | 398,RMD,34.22B,65.81,33.55,2.58,9.94,10.84,175.95,149.45,-24.10%,13.77%,5.40%,25.50%,11.70%,233.57,-0.02%,"243,335"
380 | 399,ROK,32.23B,31.30,22.33,2.72,4.42,12.43,59.62,119.68,32.10%,11.47%,15.80%,11.52%,3.50%,273.18,1.79%,"281,610"
381 | 400,ROL,15.27B,43.25,36.58,5.27,6.30,13.77,129.77,68.95,28.70%,11.66%,11.40%,8.20%,7.80%,31.07,0.75%,"569,568"
382 | 401,ROP,47.12B,40.91,26.28,5.45,8.16,4.11,133.67,25.42,-46.60%,8.42%,5.60%,7.50%,9.10%,442.97,0.18%,"238,631"
383 | 402,ROST,34.12B,21.03,17.63,-,1.88,8.31,6.49,28.01,-94.80%,11.19%,-37.40%,-,1.00%,95.62,1.44%,"1,338,115"
384 | 403,RSG,39.33B,29.35,23.09,2.62,3.48,4.26,-,41.99,-9.30%,10.64%,7.20%,11.20%,2.20%,118.79,0.18%,"850,129"
385 | 404,RTX,139.74B,36.23,16.14,2.24,2.17,1.97,18.69,415.91,-156.40%,20.88%,-20.20%,16.20%,0.20%,94.53,1.03%,"2,423,825"
386 | 405,SBAC,34.31B,119.62,77.01,-,15.25,-,-,42.46,-83.40%,65.79%,16.60%,-,4.90%,310.81,0.47%,"218,015"
387 | 406,SBNY,21.24B,26.16,13.22,4.14,10.63,2.56,0.73,22.58,-8.00%,28.75%,6.50%,6.32%,11.80%,342.24,3.28%,"258,335"
388 | 407,SBUX,109.54B,25.26,23.95,2.22,3.61,-,27.00,47.73,351.00%,17.17%,13.30%,11.40%,6.40%,95.03,1.47%,"3,715,799"
389 | 408,SCHW,172.84B,31.06,18.17,1.43,9.10,3.49,5.04,29.48,-20.60%,26.54%,15.60%,21.70%,13.20%,89.88,2.44%,"2,892,373"
390 | 409,SEDG,13.84B,94.01,36.00,3.33,7.82,10.51,20.29,114.32,-8.20%,37.18%,9.00%,28.22%,24.40%,259.57,4.15%,"469,478"
391 | 410,SEE,9.48B,21.24,15.28,1.83,1.77,74.48,24.08,25.22,102.00%,16.38%,32.60%,11.60%,2.10%,64.83,2.40%,"307,424"
392 | 411,SHW,72.69B,38.82,24.09,2.77,3.64,26.31,232.02,27.10,33.90%,17.76%,14.70%,14.01%,10.10%,272.73,0.83%,"535,361"
393 | 412,SIVB,37.35B,19.68,15.41,2.46,11.36,2.93,1.74,28.35,5.20%,31.45%,28.10%,8.00%,16.50%,643.20,3.49%,"166,069"
394 | 413,SJM,14.56B,19.66,15.21,12.18,1.84,1.79,93.72,39.30,14.00%,5.46%,6.20%,1.61%,0.50%,136.02,-1.03%,"282,260"
395 | 414,SLB,53.18B,29.84,15.00,0.61,2.32,3.68,16.94,18.92,117.40%,33.33%,25.10%,48.55%,-3.80%,39.97,1.70%,"9,509,920"
396 | 415,SNA,11.43B,14.11,12.99,2.82,2.48,2.80,15.54,14.92,-7.80%,5.37%,7.20%,5.00%,1.90%,215.22,2.14%,"170,608"
397 | 416,SNPS,47.69B,61.25,32.70,4.11,11.34,8.52,30.17,34.09,12.80%,15.50%,22.80%,14.90%,11.70%,302.21,2.46%,"312,491"
398 | 417,SO,68.91B,23.46,18.61,3.78,3.07,2.44,33.16,-,-34.90%,4.46%,2.50%,6.20%,3.10%,65.34,-0.77%,"2,934,442"
399 | 418,SPG,46.67B,20.47,20.63,2.38,9.12,13.78,106.45,34.25,-47.30%,3.67%,-9.40%,8.60%,-2.60%,141.97,1.48%,"696,832"
400 | 419,SPGI,93.87B,30.43,23.68,2.90,11.31,45.11,14.42,33.29,29.40%,10.27%,9.50%,10.50%,7.90%,385.62,1.29%,"664,389"
401 | 420,SRE,43.02B,37.49,15.97,8.72,3.53,1.82,49.28,27.18,9.20%,2.38%,4.00%,4.30%,2.20%,135.30,0.13%,"298,586"
402 | 421,STE,23.02B,77.88,28.01,7.79,5.42,3.43,64.11,89.48,-2.80%,2.16%,24.40%,10.00%,6.80%,230.56,1.77%,"151,683"
403 | 422,STT,36.92B,13.73,9.46,0.96,18.78,1.35,0.25,-,17.60%,23.17%,7.20%,14.29%,0.80%,100.46,1.80%,"525,538"
404 | 423,STX,23.52B,13.33,10.67,0.53,1.96,39.90,23.74,49.11,41.60%,10.92%,45.50%,25.02%,-0.90%,109.75,3.42%,"584,335"
405 | 424,STZ,44.17B,-,20.20,-,5.09,3.92,122.25,33.54,-0.90%,15.66%,12.00%,9.61%,5.60%,221.69,-5.20%,"1,380,991"
406 | 425,SWK,27.08B,17.11,12.21,1.59,1.73,2.48,92.53,39.38,12.70%,10.57%,3.90%,10.77%,3.20%,166.37,1.24%,"501,327"
407 | 426,SWKS,23.38B,16.18,10.45,1.27,4.58,4.17,23.07,25.87,87.00%,11.41%,11.60%,12.70%,9.20%,139.08,3.23%,"556,414"
408 | 427,SYF,23.38B,6.01,7.67,0.17,1.53,1.83,2.80,3.54,222.90%,2.57%,22.10%,35.92%,0.70%,45.01,2.21%,"2,761,966"
409 | 428,SYK,95.90B,48.03,22.86,4.18,5.61,6.66,36.34,46.42,-23.30%,11.80%,2.20%,11.49%,7.60%,259.40,3.57%,"903,074"
410 | 429,SYY,41.79B,53.80,19.83,1.05,0.69,34.31,30.41,-,143.50%,30.25%,-9.10%,51.24%,0.40%,83.75,2.15%,"1,149,389"
411 | 430,T,172.60B,8.71,7.46,2.38,1.02,1.05,8.11,12.60,-139.60%,3.00%,-18.30%,3.66%,3.20%,24.41,1.50%,"18,112,891"
412 | 431,TAP,10.65B,-,12.16,-,1.07,0.81,17.27,11.64,-492.80%,-3.42%,-32.50%,2.87%,22.00%,49.69,0.57%,"338,439"
413 | 432,TDG,35.58B,49.47,29.98,1.91,7.28,-,7.39,46.03,27.50%,33.11%,0.00%,25.90%,8.60%,654.98,3.84%,"136,016"
414 | 433,TDY,19.61B,42.05,21.26,1.81,4.25,2.62,35.54,30.18,-1.20%,9.18%,14.30%,23.27%,6.10%,422.52,1.34%,"48,296"
415 | 434,TECH,16.42B,80.71,45.46,5.38,15.95,9.55,58.86,63.61,-40.40%,14.50%,4.40%,15.00%,13.30%,415.08,0.35%,"137,520"
416 | 435,TEL,48.01B,19.50,17.86,1.88,3.15,4.26,48.89,40.11,968.00%,11.40%,6.20%,10.36%,5.60%,148.04,3.14%,"860,458"
417 | 436,TER,18.99B,20.21,16.56,1.43,5.13,7.27,14.47,31.34,64.50%,39.94%,34.60%,14.16%,13.70%,116.94,4.13%,"952,237"
418 | 437,TFC,85.47B,14.09,11.46,12.93,6.21,1.35,2.69,25.82,-17.10%,14.16%,3.80%,1.09%,19.70%,64.48,2.35%,"1,959,561"
419 | 438,TFX,15.04B,34.66,22.56,3.15,5.45,4.06,31.26,30.00,-27.60%,6.11%,7.60%,11.00%,7.00%,327.15,3.09%,"107,980"
420 | 439,TGT,101.01B,15.35,15.60,1.10,0.98,7.33,17.56,22.46,36.30%,0.89%,10.50%,13.99%,4.90%,207.85,-0.35%,"2,566,037"
421 | 440,TJX,83.39B,31.19,20.26,-,1.83,12.66,12.28,189.27,-97.20%,12.77%,-46.30%,-,0.80%,68.72,1.07%,"3,206,130"
422 | 441,TMO,226.60B,28.84,23.10,2.65,5.78,5.71,-,29.17,73.80%,7.84%,26.50%,10.87%,13.70%,555.53,-1.01%,"697,038"
423 | 442,TMUS,157.59B,52.04,21.32,0.74,1.97,2.29,38.86,754.01,-40.80%,137.63%,23.60%,70.08%,16.40%,126.50,0.79%,"1,334,601"
424 | 443,TPR,11.17B,13.20,9.57,0.94,1.72,3.62,6.78,11.51,211.60%,13.08%,9.60%,14.00%,5.00%,40.67,4.16%,"1,772,811"
425 | 444,TRMB,17.05B,33.89,20.03,3.39,4.66,4.27,33.23,22.77,-24.00%,13.61%,27.00%,10.00%,6.60%,68.14,3.48%,"662,669"
426 | 445,TROW,33.20B,10.98,11.22,0.90,4.33,3.96,9.71,35.93,14.70%,5.05%,16.60%,12.20%,8.10%,147.74,2.50%,"927,588"
427 | 446,TRV,42.18B,11.98,11.82,1.34,1.23,1.49,51.56,6.60,6.00%,12.87%,-0.70%,8.94%,3.60%,171.67,0.53%,"514,883"
428 | 447,TSCO,24.93B,25.31,21.25,1.86,1.96,12.32,22.43,43.49,36.90%,9.04%,16.30%,13.60%,11.30%,220.39,1.13%,"354,320"
429 | 448,TSLA,879.49B,177.93,69.73,8.20,16.34,29.39,49.67,76.71,669.20%,22.06%,48.60%,21.70%,50.40%,917.69,4.79%,"14,097,725"
430 | 449,TSN,34.35B,8.89,11.93,1.19,0.69,1.87,11.62,17.91,48.00%,-5.09%,13.00%,7.50%,5.00%,94.32,-0.59%,"949,565"
431 | 450,TT,36.29B,25.41,19.32,1.35,2.57,5.74,16.81,45.13,48.30%,11.00%,1.60%,18.78%,0.90%,154.48,2.00%,"591,283"
432 | 451,TTWO,19.47B,37.06,26.51,2.53,5.70,5.25,7.90,-,43.60%,28.58%,121.30%,14.63%,19.00%,169.48,1.44%,"773,865"
433 | 452,TWTR,29.53B,-,29.62,-,5.81,3.97,3.98,109.11,-177.30%,30.27%,-12.90%,-,10.90%,36.62,2.59%,"7,516,554"
434 | 453,TXN,155.76B,19.66,17.32,1.97,8.49,11.24,15.99,64.69,38.50%,3.01%,18.90%,10.00%,6.50%,165.88,2.10%,"3,069,580"
435 | 454,TXT,15.31B,20.78,14.52,1.66,1.24,2.54,7.02,11.55,-61.50%,19.39%,-11.60%,12.50%,-2.80%,70.42,2.71%,"434,128"
436 | 455,TYL,19.78B,122.01,57.53,12.20,13.72,8.68,69.79,61.62,28.40%,15.83%,21.50%,10.00%,13.60%,475.64,1.79%,"48,862"
437 | 456,UA,6.83B,15.99,18.89,0.73,1.23,3.64,-,-,338.50%,29.00%,-,21.80%,-,15.64,3.51%,"2,779,171"
438 | 457,UAA,8.55B,18.85,18.68,0.68,1.54,4.08,6.82,15.41,-711.50%,16.60%,-26.00%,27.80%,2.50%,17.86,3.90%,"4,166,034"
439 | 458,UAL,15.93B,-,7.02,-,0.65,2.84,0.82,-,-318.50%,113.10%,-33.70%,-,-16.50%,50.10,6.76%,"12,280,634"
440 | 459,UDR,17.32B,116.94,142.21,-,13.42,5.33,15749.03,90.46,-67.80%,36.65%,-8.80%,-,6.80%,55.24,1.15%,"640,852"
441 | 460,UHS,10.71B,10.65,10.80,1.30,0.86,1.73,56.44,-,20.40%,4.06%,10.20%,8.21%,5.00%,134.68,1.86%,"236,558"
442 | 461,ULTA,20.27B,23.21,20.36,0.37,2.50,9.91,-,24.64,-74.40%,3.82%,-9.00%,62.03%,9.40%,379.07,4.53%,"289,380"
443 | 462,UNH,454.84B,26.23,19.20,1.79,1.58,6.37,21.57,33.46,11.90%,14.17%,21.70%,14.63%,10.40%,476.47,0.44%,"1,402,536"
444 | 463,UNP,156.62B,24.34,18.91,1.45,7.18,10.97,155.69,47.52,26.40%,11.05%,14.50%,16.75%,1.80%,249.29,2.78%,"1,668,741"
445 | 464,UPS,192.25B,14.56,15.85,1.04,1.98,15.46,18.21,42.35,-69.80%,5.25%,-22.00%,14.03%,7.70%,219.31,2.49%,"1,442,685"
446 | 465,URI,23.61B,16.47,10.29,0.77,2.43,3.79,163.98,6.77,56.00%,13.01%,24.20%,21.27%,11.00%,322.02,2.80%,"421,655"
447 | 466,USB,86.78B,11.35,11.05,1.14,6.43,1.80,1.36,14.00,-26.40%,20.59%,-0.70%,9.93%,3.70%,58.71,1.45%,"2,070,174"
448 | 467,V,474.39B,44.77,26.49,2.44,18.62,14.30,29.80,38.49,15.00%,18.99%,13.60%,18.37%,9.80%,228.52,1.41%,"3,912,201"
449 | 468,VFC,24.00B,19.67,16.49,0.44,2.07,6.40,17.99,-,-32.40%,13.36%,-18.70%,44.77%,-3.50%,61.70,3.02%,"2,004,002"
450 | 469,VIAC,22.73B,7.40,9.40,-,0.85,1.10,4.71,52.73,-26.30%,1.75%,3.30%,-6.49%,14.80%,35.62,1.68%,"6,517,884"
451 | 470,VLO,35.84B,-,12.31,-,0.38,2.09,10.25,75.61,-160.10%,4.88%,-19.50%,-13.80%,-5.90%,88.86,-0.95%,"2,148,919"
452 | 471,VMC,24.66B,37.67,29.13,2.06,4.81,3.80,181.69,59.69,-5.40%,26.82%,20.70%,18.25%,7.30%,189.37,2.98%,"340,883"
453 | 472,VNO,7.82B,-,57.14,-,5.06,1.53,3.67,25.89,-111.30%,18.05%,-22.50%,17.33%,-5.10%,43.56,6.92%,"1,538,757"
454 | 473,VRSK,31.20B,44.83,32.07,4.51,10.59,11.40,103.27,40.22,59.60%,13.86%,8.30%,9.95%,9.60%,193.96,1.12%,"230,462"
455 | 474,VRSN,23.56B,30.45,29.60,3.81,17.74,-,19.65,37.40,-2.40%,14.56%,20.20%,8.00%,3.60%,215.85,1.07%,"175,186"
456 | 475,VRTX,59.37B,25.62,15.19,2.17,7.84,5.83,7.89,24.65,-12.50%,7.09%,85.00%,11.80%,34.80%,232.18,0.41%,"618,936"
457 | 476,VTR,20.20B,95.35,-,-,5.42,1.68,140.50,97.32,-0.40%,-85.70%,0.10%,-,2.90%,50.98,1.84%,"1,301,117"
458 | 477,VTRS,18.42B,-,4.02,-,1.07,0.86,21.81,9.12,-6.10%,0.73%,-21.60%,-0.40%,4.80%,15.28,1.70%,"2,838,766"
459 | 478,VZ,219.39B,10.02,9.49,3.47,1.64,2.86,22.08,19.49,-7.60%,2.56%,-0.30%,2.88%,-0.50%,53.51,0.45%,"6,263,639"
460 | 479,WAB,16.73B,36.34,17.97,4.98,2.15,1.62,36.65,19.08,18.10%,14.41%,-11.90%,7.30%,18.00%,90.04,2.93%,"440,682"
461 | 480,WAT,19.83B,28.45,24.46,2.84,7.12,66.12,30.26,30.54,-3.30%,9.15%,8.20%,10.00%,3.00%,321.57,1.11%,"146,350"
462 | 481,WBA,41.32B,6.88,9.21,1.85,0.31,1.56,9.99,16.99,0.60%,2.02%,-9.70%,3.73%,2.50%,48.38,2.15%,"2,409,278"
463 | 482,WDC,16.65B,8.33,5.72,0.45,0.88,1.37,6.58,14.16,416.70%,14.46%,21.60%,18.50%,5.40%,55.42,4.84%,"1,984,780"
464 | 483,WEC,28.52B,21.80,19.59,3.57,3.43,2.59,1096.83,-,5.90%,6.49%,10.10%,6.10%,4.10%,89.51,-0.13%,"1,020,041"
465 | 484,WELL,34.92B,1106.53,87.36,85.12,7.67,2.02,114.88,157.60,-122.00%,13.43%,-16.80%,13.00%,3.60%,81.21,1.93%,"986,577"
466 | 485,WFC,233.59B,11.68,11.95,-,5.88,1.39,0.47,-,-89.80%,23.25%,-36.90%,-,-0.60%,58.65,1.37%,"9,594,959"
467 | 486,WHR,12.18B,6.93,6.99,1.12,0.55,2.45,4.00,9.28,66.50%,3.90%,19.60%,6.20%,1.20%,204.47,3.99%,"388,007"
468 | 487,WM,59.80B,32.98,23.56,2.69,3.33,8.29,515.48,37.56,-9.90%,11.51%,16.30%,12.25%,3.30%,142.52,0.53%,"795,723"
469 | 488,WMB,35.87B,36.33,22.84,18.16,3.79,3.28,167.62,36.68,-75.90%,7.42%,17.30%,2.00%,1.00%,29.95,-0.43%,"3,069,070"
470 | 489,WMT,373.62B,46.90,20.00,5.65,0.65,4.53,23.19,29.29,-8.50%,4.36%,0.80%,8.30%,3.00%,134.38,0.32%,"3,814,134"
471 | 490,WRB,16.15B,16.33,14.40,1.81,1.71,2.49,7.81,10.06,-20.20%,12.37%,1.70%,9.00%,2.30%,90.27,0.87%,"254,447"
472 | 491,WRK,12.11B,14.15,8.82,0.72,0.63,1.04,41.56,16.19,217.50%,10.90%,39.90%,19.63%,5.80%,47.64,4.04%,"1,537,044"
473 | 492,WST,29.03B,47.67,42.36,1.73,10.83,12.91,42.19,101.18,42.50%,6.65%,28.70%,27.60%,8.90%,383.57,-0.03%,"207,136"
474 | 493,WTW,27.94B,13.09,13.83,-,3.10,2.48,12.92,138.29,1.20%,16.47%,8.50%,-,19.60%,223.72,2.22%,"575,213"
475 | 494,WY,30.84B,11.79,23.31,2.36,3.02,2.96,13.26,11.77,160.50%,-27.30%,8.60%,5.00%,7.50%,41.99,2.63%,"2,538,139"
476 | 495,WYNN,10.91B,-,-,-,3.20,-,4.41,-,69.30%,93.00%,-64.60%,-,-12.50%,95.48,3.71%,"2,016,054"
477 | 496,XEL,35.83B,22.43,19.47,3.25,2.67,2.36,56.79,-,5.70%,7.33%,7.60%,6.90%,0.90%,66.03,-0.56%,"2,604,974"
478 | 497,XLNX,53.77B,52.51,44.99,2.79,14.63,13.15,14.52,55.65,-15.90%,7.36%,5.00%,18.83%,7.30%,194.87,0.00%,0
479 | 498,XOM,326.16B,14.65,12.79,2.52,1.16,2.10,68.40,883.89,-265.10%,-5.98%,-27.50%,5.81%,-5.70%,78.07,-1.16%,"16,344,922"
480 | 499,XRAY,11.78B,28.21,16.77,1.09,2.77,2.29,41.92,24.52,-132.30%,10.30%,-17.20%,25.84%,4.60%,56.02,4.63%,"1,126,798"
481 | 500,XYL,16.56B,37.93,26.98,2.02,3.19,5.20,-,33.94,-36.60%,22.97%,-5.60%,18.77%,5.90%,91.30,2.29%,"534,907"
482 | 501,YUM,36.19B,23.30,21.87,1.86,5.50,-,36.16,37.82,-28.80%,13.31%,7.10%,12.52%,-2.50%,122.74,1.10%,"2,426,940"
483 | 502,ZBH,24.98B,57.35,15.86,5.84,3.19,1.92,27.16,20.91,-117.60%,7.43%,-23.70%,9.82%,3.20%,121.77,4.09%,"849,521"
484 | 503,ZBRA,24.07B,27.46,19.25,2.75,4.28,7.64,72.50,23.83,66.10%,12.10%,51.00%,10.00%,9.50%,436.94,2.47%,"308,014"
485 | 504,ZION,11.46B,10.87,12.53,-,5.02,1.58,0.88,66.25,-27.30%,15.75%,20.30%,-,5.20%,74.44,2.87%,"978,333"
486 | 505,ZTS,93.17B,47.31,37.67,3.49,12.23,19.90,28.48,69.58,9.90%,11.67%,38.30%,13.57%,7.00%,197.99,0.79%,"1,947,882"
487 | 505,ZTS,93.17B,47.31,37.67,3.49,12.23,19.90,28.48,69.58,9.90%,11.67%,38.30%,13.57%,7.00%,197.99,0.79%,"1,947,882"
488 | 505,ZTS,93.17B,47.31,37.67,3.49,12.23,19.90,28.48,69.58,9.90%,11.67%,38.30%,13.57%,7.00%,197.99,0.79%,"1,947,882"
489 | 505,ZTS,93.17B,47.31,37.67,3.49,12.23,19.90,28.48,69.58,9.90%,11.67%,38.30%,13.57%,7.00%,197.99,0.79%,"1,947,882"
490 | 1,A,41.93B,34.33,25.55,2.45,6.64,7.55,26.62,39.52,71.00%,10.16%,22.90%,14.00%,8.50%,136.08,0.64%,"1,047,860"
491 | 2,AAL,11.99B,-,8.06,-,0.40,-,0.82,-,-583.80%,200.50%,-29.60%,16.09%,-15.80%,18.67,7.14%,"28,098,806"
492 | 3,AAP,13.97B,22.70,16.89,1.26,1.27,4.41,23.11,21.22,4.40%,11.28%,2.20%,18.00%,0.70%,224.79,0.23%,"1,293,061"
493 | 4,AAPL,2812.90B,28.04,25.72,1.89,7.44,38.47,44.01,32.23,71.40%,6.56%,22.00%,14.85%,11.10%,171.71,1.68%,"36,128,826"
494 | 5,ABBV,254.05B,34.04,11.72,8.30,4.60,18.67,20.74,23.66,-48.50%,-13.83%,-2.80%,4.10%,14.90%,144.07,0.74%,"4,775,198"
495 | 6,ABC,29.59B,18.20,12.11,1.76,0.13,120.84,8.35,16.46,144.40%,7.21%,3.20%,10.34%,7.80%,142.29,1.51%,"482,521"
496 | 7,ABMD,13.77B,100.32,62.90,17.18,13.73,9.22,20.57,56.00,11.40%,5.87%,42.20%,5.84%,20.80%,305.76,5.28%,"209,545"
497 | 8,ABT,221.04B,31.05,23.77,2.36,5.13,6.33,22.81,38.37,24.50%,6.39%,7.80%,13.18%,11.10%,123.84,0.86%,"2,599,786"
498 | 9,ACN,223.32B,33.92,27.69,2.76,4.16,10.13,39.57,45.15,16.00%,11.61%,7.30%,12.28%,7.70%,328.43,0.71%,"1,132,638"
499 | 10,ADBE,233.52B,47.33,29.14,3.08,14.79,15.18,40.28,33.93,-7.60%,17.96%,34.00%,15.35%,21.90%,476.39,0.50%,"1,843,209"
500 | 11,ADI,85.04B,41.77,18.11,2.83,11.62,1.96,43.00,66.33,5.60%,12.61%,4.70%,14.78%,16.40%,160.81,4.44%,"1,741,992"
501 | 12,ADM,42.57B,15.91,14.64,2.41,0.50,1.95,39.31,-,24.80%,0.19%,1.00%,6.60%,-1.00%,76.96,1.10%,"798,787"
502 | 13,ADP,85.57B,31.28,26.61,2.28,5.45,16.79,48.49,62.62,6.80%,11.18%,13.30%,13.71%,5.20%,203.66,0.83%,"470,111"
503 | 14,ADSK,52.41B,38.21,33.42,1.33,12.44,38.99,29.25,37.62,440.10%,35.23%,41.70%,28.84%,8.60%,232.28,2.37%,"692,058"
504 | 15,AEE,21.89B,22.29,21.04,2.82,3.54,2.26,3127.07,21.54,4.50%,5.39%,8.10%,7.90%,-1.00%,85.12,-0.01%,"387,798"
505 | 16,AEP,43.28B,18.45,17.34,3.24,2.65,1.93,27.20,18.60,11.60%,5.97%,3.80%,5.70%,-1.90%,85.78,-0.46%,"1,218,845"
506 | 17,AES,14.84B,28.02,13.14,3.76,1.36,6.24,9.39,-,-85.80%,7.79%,-32.60%,7.45%,-3.00%,21.85,1.82%,"1,263,797"
507 | 18,AFL,42.64B,10.06,11.68,3.18,1.93,1.28,6.87,8.75,50.70%,4.51%,17.90%,3.16%,1.00%,64.87,1.01%,"1,326,842"
508 | 19,AIG,50.17B,9.26,11.10,0.30,1.05,0.78,18.59,16.51,-286.60%,12.44%,-43.90%,30.69%,-5.80%,60.64,2.80%,"1,931,831"
509 | 20,AIZ,9.27B,16.01,11.62,0.94,0.91,1.67,4.57,7.34,35.70%,16.10%,31.00%,17.00%,-1.50%,166.58,2.83%,"253,778"
510 | 


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/config.cfg:
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1 | [BINANCE]
2 | KEY = 
3 | SECRET = 


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/dashboard.py:
--------------------------------------------------------------------------------
 1 | # home page, background ticker loading and such
 2 | 
 3 | from dash import Dash, dcc, html, Input, Output, callback
 4 | from pages import backtest, optimise
 5 | 
 6 | 
 7 | app = Dash(__name__, suppress_callback_exceptions=True)
 8 | server = app.server
 9 | 
10 | app.layout = html.Div([
11 |     dcc.Location(id='url', refresh=False),
12 |     html.Div(id='page-content',
13 |         children=[
14 |             html.Div(
15 |                 children=[
16 |                     html.H1(
17 |                         children="pyine dashboard", className="header-title"
18 |                     ),
19 |                     html.P(
20 |                         children="Analyse & optimise your trading strategies, powered by pyine",
21 |                         className="header-description",
22 |                     ),
23 |                 ],
24 |                 className="header",
25 |             ),
26 |             html.Div(
27 |             children=[
28 |                 html.Div(
29 |                     children=[
30 |                         html.Div(children="Backtester", className="menu-title"),
31 |                         html.Button('', id='submit-val', n_clicks=0),
32 |                     ]
33 |                 ),
34 |                 html.Div(
35 |                     children=[
36 |                         html.Div(children="Optimiser", className="menu-title"),
37 |                         html.Button('', id='optimiser', n_clicks=0),
38 |                     ]
39 |                 ),
40 |             ],
41 |             className="menu",
42 |         ),
43 |         ],
44 |     ),
45 | ])
46 | 
47 | 
48 | @callback(Output('page-content', 'children'),
49 |               Input('url', 'pathname'))
50 | def display_page(pathname):
51 |     if pathname == '/optimiser':
52 |         return optimise.layout
53 |     elif pathname == '/backtester':
54 |         return backtest.layout
55 |     else:
56 |         return app.layout
57 | 
58 | if __name__ == '__main__':
59 |     app.run_server(debug=True)


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/display.py:
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  1 | import dash
  2 | from dash import * 
  3 | import pandas as pd
  4 | import numpy as np
  5 | from dash.dependencies import Output, Input
  6 | from dist import strategies
  7 | from pyfinviz.screener import Screener
  8 | 
  9 | from dist import data
 10 | from dist.engine import optimise, backtest, abstraction
 11 | from dist.data import *
 12 | from dist.strategies import examples
 13 | from dist.utils import listclasses
 14 | 
 15 | from threading import Thread
 16 | 
 17 | import yfinance as yf
 18 | 
 19 | t = []
 20 | 
 21 | options = [Screener.IndexOption.SANDP_500]
 22 | screener = Screener(filter_options=options, view_option=Screener.ViewOption.VALUATION, pages=[x for x in range(1, 30)])
 23 | k = screener.data_frames
 24 | l = pd.concat([k[i] for i in k])
 25 | 
 26 | f = listclasses.get_file_list('dist/strategies')
 27 | h = listclasses.get_classes('dist/strategies', f)
 28 | g = h[0]
 29 | 
 30 | external_stylesheets = [
 31 |     {
 32 |         "href": "https://fonts.googleapis.com/css2?"
 33 |         "family=Lato:wght@400;700&display=swap",
 34 |         "rel": "stylesheet",
 35 |     },
 36 | ]
 37 | app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
 38 | app.title = "pyine"
 39 | 
 40 | 
 41 | app.layout = html.Div(
 42 |     children=[
 43 |         html.Div(
 44 |             children=[
 45 |                 html.H1(
 46 |                     children="pyine dashboard", className="header-title"
 47 |                 ),
 48 |                 html.P(
 49 |                     children="Analyse & optimise your trading strategies, powered by pyine",
 50 |                     className="header-description",
 51 |                 ),
 52 |             ],
 53 |             className="header",
 54 |         ),
 55 |         html.Div(
 56 |             children=[
 57 |                 html.Div(
 58 |                     children=[
 59 |                         html.Div(children="Ticker", className="menu-title"),
 60 |                         dcc.Dropdown(
 61 |                             id="ticker-filter",
 62 |                             options=[
 63 |                                 {"label": ticker, "value": ticker}
 64 |                                 for ticker in np.sort(list(l['Ticker']))
 65 |                             ],
 66 |                             value="AAPL",
 67 |                             clearable=False,
 68 |                             className="dropdown",
 69 |                         ),
 70 |                     ]
 71 |                 ),
 72 |                 html.Div(
 73 |                     children=[
 74 |                         html.Div(children="Interval", className="menu-title"),
 75 |                         dcc.Dropdown(
 76 |                             id="interval-filter",
 77 |                             options=[
 78 |                                 {"label": interval, "value": interval}
 79 |                                 for interval in ['1m','2m','5m','15m','30m','60m','90m','1h','1d','5d','1wk','1mo','3mo']],
 80 |                             value='5m',
 81 |                             clearable=False,
 82 |                             className="dropdown",
 83 |                         ),
 84 |                     ]
 85 |                 ),
 86 |                 html.Div(
 87 |                     children=[
 88 |                         html.Div(children="Strategy", className="menu-title"),
 89 |                         dcc.Dropdown(
 90 |                             id="strategy-filter",
 91 |                             options=[
 92 |                                 {"label": strategy, "value": strategy}
 93 |                                 for strategy in g
 94 |                             ],
 95 |                             value = g[0],
 96 |                             clearable=False,
 97 |                             className="dropdown",
 98 |                         ),
 99 |                     ],
100 |                 ),
101 |             ],
102 |             className="menu",
103 |         ),
104 |         html.Div(
105 |             children=[
106 |                 html.Div(
107 |                     children=dcc.Graph(
108 |                         id="price-chart", config={"displayModeBar": False},
109 |                     ),
110 |                     className="card",
111 |                 ),
112 |             ],
113 |             className="wrapper",
114 |         ),
115 |     ]
116 | )
117 | 
118 | 
119 | @app.callback(
120 |     [Output("price-chart", "figure"),],
121 |     [
122 |        Input("ticker-filter", "value"),
123 |        Input("interval-filter", "value"),
124 |        Input("strategy-filter", "value"),
125 |     ],
126 | )
127 | def update_charts(ticker, interval, strategy):
128 |     strategy = eval(h[-1][strategy])
129 | 
130 |     ## data abstraction
131 |     #p = abstraction.piston()
132 |     #spark = p.spark(interval)
133 |     #data = yf.download(ticker, period="5d", interval=spark)
134 |     #data = p.crank(data, interval)
135 | 
136 |     data = pd.read_csv('MNQ 03-22.Last.txt', sep=";", header=None)
137 |     data.columns = ["Time", "Open", "High", "Low", "Close", "Volume"]
138 |     l = [True for i in range(len(data['Close']))]
139 |     data['ABS'] = l
140 | 
141 |     ## backtest
142 |     bt = backtest.piston(strategy, data)
143 |     bt.run({'tp':3, 'sl':2})
144 |     
145 |     price_chart_figure = {
146 |         "data": [
147 |             {
148 |                 "x": [str(i) for i in range(len(bt.balance_history))],
149 |                 "y": [i for i in bt.balance_history],
150 |                 "type": "lines",
151 |                 "hovertemplate": "$%{y:.2f}<extra></extra>",
152 |             },
153 |         ],
154 |         "layout": {
155 |             "title": {
156 |                 "text": "Average Price of Avocados",
157 |                 "x": 0.05,
158 |                 "xanchor": "left",
159 |             },
160 |             "xaxis": {"fixedrange": True},
161 |             "yaxis": {"tickprefix": "$", "fixedrange": True},
162 |             "colorway": ["#17B897"],
163 |         },
164 |     }
165 | 
166 |     return [price_chart_figure]
167 | 
168 | 
169 | if __name__ == "__main__":
170 |     app.run_server(debug=True)


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/dist/data/crypto.py:
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/dist/data/forex.py:
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/dist/data/random.py:
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1 | import random
2 | 
3 | def data(i):
4 |     return [random.randint(0,100) for x in range(i)]
5 |     


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/dist/data/stock.py:
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 1 | class abstract:
 2 |     def __init__(self, abstraction):
 3 |         self.conversion
 4 |         self.valid = ['1m','2m','5m','15m','30m','60m','90m','1h','1d','5d','1wk','1mo','3mo']
 5 |         self.abstraction = abstraction
 6 |     
 7 |     def _nz(self, x):
 8 |         return 0 if x <= 0 else x
 9 | 
10 |     def _ab(self, interval):
11 |         t = self.valid.index(interval)
12 |         return self.valid[self._nz(t-self.abstraction)]
13 | 
14 |     def download(self, ticker):
15 |         pass


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/dist/data/tickers.py:
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1 | tickers = 


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/dist/engine/abstraction.py:
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 1 | from datetime import datetime
 2 | from numpy import invert
 3 | 
 4 | import yfinance as yf
 5 | 
 6 | class piston:
 7 |     def __init__(self, abstraction=1):
 8 |         self.conversion = {
 9 |             '1m':60,
10 |             '2m':120,
11 |             '5m':300,
12 |             '15m':900,
13 |             '30m':1800,
14 |             '60m':3600,
15 |             '90m':5400,
16 |             '1h':3600,
17 |             '1d':86400,
18 |             '5d':432000,
19 |             '1wk':604800,
20 |             '1mo':2592000,
21 |             '3mo':7776000,
22 |         }
23 |         
24 |         self.valid = ['1m','2m','5m','15m','30m','60m','90m','1h','1d','5d','1wk','1mo','3mo']
25 |         self.abstraction = abstraction
26 | 
27 |         self.data = {}
28 |     
29 |     def crank(self, d, interval):
30 |         r = list(d.index.values)
31 |         l = lambda x: True if datetime.timestamp(datetime.utcfromtimestamp(x.tolist()/1e9)) % self.conversion[interval] == 0 else False
32 |         d['ABS'] = [True if l(r[i]) else False for i in range(len(list(d.index.values)))]
33 |         return d
34 | 
35 |     def _nz(self, x):
36 |         return 0 if x <= 0 else x
37 | 
38 |     def _ab(self, interval):
39 |         t = self.valid.index(interval)
40 |         return self.valid[self._nz(t-self.abstraction)]
41 | 
42 |     def spark(self, interval='5m'):
43 |         return self._ab(interval)
44 | 
45 | 


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/dist/engine/aliases.py:
--------------------------------------------------------------------------------
1 | assignment= {
2 |     '==': 'TEQUAL',
3 | }


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/dist/engine/backtest.py:
--------------------------------------------------------------------------------
 1 | #from data import *
 2 | import random
 3 | import math
 4 | 
 5 | from numpy import NaN
 6 | 
 7 | 
 8 | class cylinder:
 9 |     def __init__(self, strategy):
10 |         self.strategy = strategy
11 |         self.contract = {'O':'', 'C':'', 'R':0}
12 |         self.state = 'NEW'
13 |         self.res = ''
14 | 
15 |     def prime(self, data, hist, ABS=True):
16 |         if ABS:
17 |             x = self.strategy.A(data, hist)
18 |             if x:
19 |                 self.contract = {'O':data, 'C':'', 'R':0, 'D':x}
20 |                 self.state = 'PRIMED'
21 | 
22 |     def rotate(self, data, O, params={}):
23 |         x = self.strategy.B(data, O, self.contract)
24 |         if x:
25 |             self.state = 'CLOSED'
26 |             self.res = x
27 |             self.contract['C'] = data
28 |             if self.contract['D'] == 1:
29 |                 self.contract['R'] = data['Close'] - self.contract['O']['Close']
30 |             elif self.contract['D'] == -1:
31 |                 self.contract['R'] = self.contract['O']['Close'] - data['Close']
32 |             return True
33 | 
34 | class piston:
35 |     def __init__(self, strategy, data, balance = 100, target='Close'):
36 |         self.strategy = strategy
37 |         self.balance = balance
38 |         self.data = data
39 |         self.target = target
40 |         self.history = []
41 |         self.balance_history = []
42 | 
43 |     def value(self, portfolio):
44 |         b = 0
45 |         for i in portfolio:
46 |             b += i['R']
47 |         return b
48 | 
49 |     def run(self, params={}):
50 |         c = cylinder
51 | 
52 |         portfolio = []
53 |         closed = [{'R':0}]
54 | 
55 |         hist = self.data
56 | 
57 |         for row in self.data.iterrows():
58 |             #print(row[1])
59 |             d = row[1]
60 |             ABS = row[1]['ABS']
61 | 
62 |             try:
63 |                 if portfolio[-1].state != 'NEW':
64 |                     portfolio.append(c(self.strategy(params)))
65 |             except:
66 |                 portfolio.append(c(self.strategy(params))) 
67 |             
68 |             #print(balance)
69 |             if d['Close'] > self.balance: pass
70 | 
71 |             for i in portfolio:
72 |                 if i.state == 'NEW':
73 |                     i.prime(d, hist, ABS)
74 |                 elif i.state == 'PRIMED':
75 |                     O = i.contract['O']
76 |                     i.rotate(d, O)
77 |             
78 |         closed = [i.contract for i in portfolio if i.state == 'CLOSED']
79 |         
80 |         self.balance_history.append(self.balance)
81 | 
82 |         for i in closed:
83 |             self.balance += i['R']
84 |             self.balance = round(self.balance, 2)
85 |             i['BAL'] = round(self.balance,2)
86 |             self.history.append(i)
87 |             self.balance_history.append(round(self.balance,2))
88 |             
89 |         return round(self.balance, 2)
90 | 
91 | 
92 | 
93 | #print([i.contract for i in portfolio])
94 | 
95 |     
96 |     


--------------------------------------------------------------------------------
/dist/engine/btv2.py:
--------------------------------------------------------------------------------
  1 | # imports 
  2 | import itertools
  3 | from struct import pack
  4 | from numpy import isin, take
  5 | import pandas_ta as ta
  6 | 
  7 | 
  8 | # strategy builder class
  9 | import functools
 10 | 
 11 | from dist import data
 12 | 
 13 | # util functions
 14 | class Series:
 15 |     def __init__(self, l=[]):
 16 |         self.arr = l
 17 | 
 18 |     def __repr__(self): # return
 19 |         return f"{self.arr[-1]}"
 20 | 
 21 |     def __str__(self): # print        
 22 |         return f"{self.arr[-1]}"
 23 | 
 24 |     def __getitem__(self, item):
 25 |         item += 1
 26 |         if item <= len(self.arr):
 27 |             return self.arr[-item]
 28 |         else:
 29 |             raise IndexError(f"There are only {len(self.arr)} elements in the series")
 30 |     
 31 |     def __len__(self):
 32 |         return len(self.arr)
 33 |     
 34 |     def __add__(self, other):   
 35 |         return self.arr[-1] + float(other)
 36 | 
 37 |     def __sub__(self, other):
 38 |         return self.arr[-1] - float(other)
 39 | 
 40 |     def __mul__(self, other):
 41 |         if isinstance(other, (int, float, Series)):  # Scalar multiplication
 42 |             return self.arr[-1] * float(other)
 43 |         else:
 44 |             raise TypeError("operand must be Series, int, or float")
 45 | 
 46 |     def __truediv__(self, other):
 47 |         if isinstance(other, (int, float, Series)):  # Scalar multiplication
 48 |             return self.arr[-1] / float(other)
 49 |         else:
 50 |             raise TypeError("operand must be Series, int, or float")
 51 | 
 52 |     # __lt__, __le__, __gt__, __ge__, __eq__ and __ne__
 53 |     def __lt__(self, other):
 54 |         if isinstance(other, (int, float)):  # Scalar multiplication
 55 |             return self.arr[-1] < float(other)
 56 |         elif isinstance(other, Series):
 57 |             return self.arr[-1] < other.arr[-1]
 58 |         else:
 59 |             raise TypeError("operand must be Series, int, or float")
 60 | 
 61 |     def __lte__(self, other):
 62 |         if isinstance(other, (int, float)):  # Scalar multiplication
 63 |             return self.arr[-1] <= other
 64 |         elif isinstance(other, Series):
 65 |             return self.arr[-1] <= other.arr[-1]
 66 |         else:
 67 |             raise TypeError("operand must be Series, int, or float")
 68 | 
 69 |     def __gt__(self, other):
 70 |         if isinstance(other, (int, float)):  # Scalar multiplication
 71 |             return self.arr[-1] > float(other)
 72 |         elif isinstance(other, Series):
 73 |             return self.arr[-1] > other.arr[-1]
 74 |         else:
 75 |             raise TypeError("operand must be Series, int, or float")
 76 | 
 77 |     def __ge__(self, other):
 78 |         if isinstance(other, (int, float)):  # Scalar multiplication
 79 |             return self.arr[-1] >= float(other)
 80 |         elif isinstance(other, Series):
 81 |             return self.arr[-1] >= other.arr[-1]
 82 |         else:
 83 |             raise TypeError("operand must be Series, int, or float")
 84 | 
 85 |     def __eq__(self, other):
 86 |         if isinstance(other, (int, float)):  # Scalar multiplication
 87 |             return self.arr[-1] == float(other)
 88 |         elif isinstance(other, Series):
 89 |             return self.arr[-1] == other.arr[-1]
 90 |         else:
 91 |             raise TypeError("operand must be Series, int, or float")
 92 | 
 93 |     def __ne__(self, other):
 94 |         if isinstance(other, (int, float)):  # Scalar multiplication
 95 |             return self.arr[-1] != float(other)
 96 |         elif isinstance(other, Series):
 97 |             return self.arr[-1] != other.arr[-1]
 98 |         else:
 99 |             raise TypeError("operand must be Series, int, or float")
100 | 
101 |     # alternative for :=
102 |     def __iadd__(self, other):
103 |         if isinstance(other, Series):
104 |             self.arr.append(other.arr[-1])
105 |         else:
106 |             self.arr.append(other)
107 |         return Series(self.arr)
108 | 
109 |     def __pow__(self, other):
110 |         if isinstance(other, (int, float)):  # Scalar multiplication
111 |             return self.arr[-1] ** float(other)
112 |         elif isinstance(other, Series):
113 |             return self.arr[-1] ** other.arr[-1]
114 |         else:
115 |             raise TypeError("operand must be Series, int, or float")        
116 | 
117 | 
118 | 
119 | 
120 | 
121 | class engine():
122 |     open = Series([])
123 |     high = Series([])
124 |     low = Series([])
125 |     close = Series([])
126 |     volume = Series([])
127 | 
128 |     
129 |     def __init__(self, strategy, data):
130 |         self.strategy = strategy()
131 |         self.data = data
132 | 
133 |         self.open = {}
134 |         self.closed = {}
135 | 
136 |     def create_order(self, x):
137 |         self.orders[x['id']] = x
138 | 
139 |     def iterate(self, data):
140 |         engine.open += data['Open']
141 |         engine.high += data['High']
142 |         engine.low += data['Low']
143 |         engine.close += data['Close']
144 |         engine.volume += data['Volume']
145 | 
146 |         self.strategy.body(engine.open, engine.high, engine.low, engine.close, engine.volume)
147 | 
148 |     def run(self):
149 |         for row in self.data.iterrows():
150 |             self.iterate(row[1])
151 | 
152 | 
153 | 
154 |     
155 | 
156 | 
157 | class strategy:
158 |     def __init__(self, engine):
159 |         self.engine = engine
160 | 
161 |     def close(self, id, when=True):
162 |         if when:
163 |             if id in self.engine.orders:
164 |                 self.engine.closed[self.engine.index] = self.engine.orders[id]
165 |                 del self.engine.orders[id]
166 |                 self.engine.index += 1
167 | 
168 |     def entry(self, id="", type="long", when=True, stoploss=0, takeprofit=0, qty=1):
169 |         if when:
170 |             if id in self.engine.orders:
171 |                 self.close(id, when=True)
172 |             self.engine.create_order({'id':id, 'type':type, 'stoploss':stoploss, 'takeprofit':takeprofit, 'qty':qty, 'at':engine.close})
173 | 
174 | 
175 | 
176 | 
177 | 
178 | def crossover(a,b):
179 |     if (len(a) < 2) or (len(b) < 2): return
180 |     return (a > b) and (a[1] < b[1])
181 | 
182 | def crossunder(a,b):
183 |     if (len(a) < 2) or (len(b) < 2): return
184 |     return (a < b) and (a[1] > b[1])
185 | 
186 | 
187 | 
188 | # get strategy class
189 | class a:
190 |     def __init__(self):
191 |         self.long_length = 21
192 |         self.short_length = 10
193 | 
194 |     def body(self, open, high, low, close, volume):
195 | 
196 |         long_EMA =  Series(ta.ema(close, self.long_length))
197 |         short_EMA = Series(ta.ema(close, self.short_length))
198 |         print(long_EMA)
199 | 
200 |         strategy.entry(id="long", when=crossover(long_EMA, short_EMA))
201 | 
202 | 
203 | 
204 |         
205 | 


--------------------------------------------------------------------------------
/dist/engine/conversion.py:
--------------------------------------------------------------------------------
1 | import js2py
2 | 
3 | def functions(s):
4 |     l = s.split('=>')
5 |     name = s.split('=>')[0].split('(')[0]
6 |     args = s.split('=>')[0].split('(')[-1].split(')')[0]
7 |     f = l[-1]
8 |     x = "{} = function $({})".format(name, args) + "{return" + f + "}"    
9 |     return x


--------------------------------------------------------------------------------
/dist/engine/optimise.py:
--------------------------------------------------------------------------------
  1 | import itertools
  2 | from itertools import permutations, islice
  3 | from os import X_OK
  4 | import threading
  5 | import math
  6 | import random
  7 | import tqdm
  8 | 
  9 | try:
 10 |     import backtest as bt
 11 | except:
 12 |     import dist.engine.backtest as bt
 13 | 
 14 | 
 15 | 
 16 | class piston():
 17 |     def __init__(self, strategy, params={}):
 18 |         self.strategy = strategy
 19 |         s_params = strategy().params
 20 |         
 21 |         l = [i for i in params]
 22 |         for i in l:
 23 |             s_params[i] = params[i]
 24 | 
 25 |         self.params = s_params
 26 | 
 27 |         for i in self.params:
 28 |             if not isinstance(self.params[i], list):
 29 |                 self.params[i] = [self.params[i]]
 30 |             if len(self.params[i]) < 3:
 31 |                 self.params[i] = self._util(self.params[i])
 32 | 
 33 |         for i in self.params:
 34 |             self.params[i] = self._a(self.params[i])
 35 |         
 36 |         self.basis = [i for i in self.params]
 37 |         self.d = {}
 38 |         for i in self.basis:
 39 |             self.d[i] = self.basis.index(i)
 40 |         self.par = list(itertools.product(*[self.params[i] for i in self.params]))
 41 |             
 42 |         self.results = []
 43 | 
 44 |     def _util(self, l):
 45 |         x = l[0]
 46 |         return [x,x,x]
 47 | 
 48 |     def _a(self, l):
 49 |         x = l[0]
 50 |         y = l[1]
 51 |         z = l[2]
 52 |         l = [i for i in range(x, y+1, z)]
 53 |         return l
 54 | 
 55 |     def cp(self, lsts):
 56 |         return list(itertools.product(*lsts))
 57 | 
 58 |     def chunks(self, l, n):
 59 |         out = []
 60 |         a = len(l)
 61 |         n = a if n > a else n
 62 |         x = math.floor(a/n)
 63 |         ##print(x)
 64 |         for i in range(n-1):
 65 |             out.append(l[i*x:(i+1)*x])
 66 |             ##print(out)
 67 |         out.append(l[(n-1)*x:])
 68 |         return out
 69 | 
 70 |     def check_engine(self):
 71 |         d = [i for i in self.results if type(i) is dict]
 72 |         srt = sorted(d, key=lambda x: x['result'])
 73 |         return srt, srt[-1]['result']
 74 | 
 75 |     def motor(self, data, q, status=False):
 76 |         ##print('#####', q)
 77 |         if status:
 78 |             for params in tqdm.tqdm(q):
 79 |                 ##print(params)
 80 |                 BT = bt.piston(self.strategy, data, balance = 100)
 81 |                 res = BT.run(params=params[1])
 82 |                 results = {}
 83 |                 results['result'] = res
 84 |                 results['hist'] = BT.balance_history
 85 |                 results['param'] = params
 86 |                 self.results.append(results)
 87 |         else:
 88 |             for params in q:
 89 |                 #print(params)
 90 |                 BT = bt.piston(self.strategy, data, balance = 100)
 91 |                 res = BT.run(params)
 92 |                 results = {}
 93 |                 results['result'] = res
 94 |                 results['hist'] = BT.balance_history
 95 |                 results['param'] = params
 96 |                 self.results.append(results)
 97 | 
 98 | 
 99 |     def crank(self, data=[], num_threads=4, status=False):
100 |         g = []
101 |         k = self.d
102 |         for b in range(len(self.par)):
103 |             p = {}
104 |             ##print(b)
105 |             j = self.par[b]
106 |             ##print(j)
107 |             for i in k:
108 |                 ##print(j[i])
109 |                 p[i] = j[k[i]]
110 |             ##print(p)
111 |             g.append(p)
112 | 
113 |         ##print(g)
114 |         param = self.chunks(g, 4)
115 |         ##print(param)
116 | 
117 |         oil = [threading.Thread(target=self.motor, args=(data, i, status)) for i in param]
118 |         ##print(len(oil))
119 | 
120 |         for spark in oil:
121 |             spark.start()
122 |         for spark in oil:
123 |             spark.join()
124 | 
125 |         return self.check_engine()
126 | 
127 | 
128 | 


--------------------------------------------------------------------------------
/dist/strategies/__init__.py:
--------------------------------------------------------------------------------
1 | import os
2 | 
3 | l = [i.name.split('.')[0] for i in os.scandir('dist/strategies') if '__' not in i.name]
4 | 
5 | for i in l:
6 |     exec('from .{} import *'.format(i))
7 | 


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/dist/strategies/examples.py:
--------------------------------------------------------------------------------
 1 | import pandas_ta as ta
 2 | 
 3 | from dist.utils.calculators import *
 4 | 
 5 | 
 6 | class s:
 7 |     def __init__(self, params):
 8 |         self.params = params
 9 |         self.src = 'Close'
10 | 
11 |     def A(self, data):
12 |         if data[self.src] >= 17: return True
13 |     
14 |     def B(self, data, O, params={}):
15 |         a = data[self.src]
16 |         O = O['Close']
17 |         tp = O + self.params['tp']
18 |         sl = O - self.params['sl']
19 |         #print(a, tp)
20 |         if a >= tp:
21 |             return 'PROFIT'
22 |         elif a <= sl:
23 |             return 'STOP'
24 | 


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/dist/strategies/t.py:
--------------------------------------------------------------------------------
1 | class a:
2 |     pass


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/dist/utils/calculators.py:
--------------------------------------------------------------------------------
 1 | def crossover(a,b):
 2 |     if a[len(a)-1] > b[len(b)-1] and a[len(a)-2] < b[len(b)-2]:
 3 |         return True
 4 | 
 5 | 
 6 | def mktbuy():
 7 |     return 1
 8 | 
 9 | def mktsell():
10 |     return -1


--------------------------------------------------------------------------------
/dist/utils/get_ticker_list.py:
--------------------------------------------------------------------------------
 1 | from pyfinviz.screener import Screener
 2 | import pandas as pd
 3 | 
 4 | def SANDP500():
 5 |     options = [Screener.IndexOption.SANDP_500]
 6 |     screener = Screener(filter_options=options, view_option=Screener.ViewOption.VALUATION, pages=[x for x in range(1, 30)])
 7 |     k = screener.data_frames
 8 |     l = pd.concat([k[i] for i in k])
 9 |     l.to_csv('assets/tickers.csv', encoding='utf-8', index=False)
10 | 
11 | 
12 | 


--------------------------------------------------------------------------------
/dist/utils/listclasses.py:
--------------------------------------------------------------------------------
 1 | import ast
 2 | import os
 3 |  
 4 | def get_file_list(path):
 5 |     directories = os.listdir( path )
 6 |     return [file for file in directories if '__' not in file]
 7 | 
 8 | def show_info(functionNode):
 9 |     print("Function name:", functionNode.name)
10 |     print("Args:")
11 |     for arg in functionNode.args.args:
12 |         #import pdb; pdb.set_trace()
13 |         print("\tParameter name:", arg.arg)
14 | 
15 | def get_classes(path, l):
16 |     c = []
17 |     d = {}
18 |     for i in l:
19 |         with open(path+'/{}'.format(i)) as file:
20 |             node = ast.parse(file.read())
21 |         classes = [n for n in node.body if isinstance(n, ast.ClassDef)]
22 |         for class_ in classes:
23 |             c.append(class_.name)
24 |             d[class_.name] = i.strip('.py')+'.{}'.format(class_.name)
25 |     return c, d
26 | 


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/dist/utils/series.py:
--------------------------------------------------------------------------------
 1 | class Series:
 2 |     def __init__(self, l=[]):
 3 |         self.arr = l
 4 | 
 5 |     def __repr__(self): # return
 6 |         return f"{self.arr[-1]}"
 7 | 
 8 |     def __str__(self): # print        
 9 |         return f"{self.arr[-1]}"
10 | 
11 |     def __getitem__(self, item):
12 |         item += 1
13 |         if item <= len(self.arr):
14 |             return self.arr[-item]
15 |         else:
16 |             raise IndexError(f"There are only {len(self.arr)} elements in the series")
17 | 


--------------------------------------------------------------------------------
/main.py:
--------------------------------------------------------------------------------
 1 | import random
 2 | from dist import data
 3 | from dist.engine import optimise, backtest, abstraction
 4 | from dist.data import *
 5 | from dist.strategies import examples
 6 | 
 7 | import yfinance as yf
 8 | 
 9 | strategy = examples.MovingAverageCrossover
10 | 
11 | ## data abstraction
12 | p = abstraction.piston()
13 | interval = '15m'
14 | spark = p.spark(interval)
15 | data = yf.download("TSLA", period="5d", interval=spark)
16 | data = p.crank(data, interval)
17 | 
18 | ## backtest
19 | bt = backtest.piston(strategy, data)
20 | backtest_result = bt.run({'tp':3, 'sl':2})
21 | 
22 | opp  = [backtest.piston(strategy, data).__class__(strategy,data).run({'tp':i+1, 'sl':2}) for i in range(3)]
23 | 
24 | ## optimise
25 | op = optimise.piston(strategy, {'tp':[1,3,1]})
26 | optimise_result = op.crank(data, num_threads=4, status=False)
27 | 


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/pages/backtest.py:
--------------------------------------------------------------------------------
  1 | import dash
  2 | from dash import * 
  3 | from dash.dependencies import Output, Input
  4 | 
  5 | import math
  6 | import json 
  7 | import pandas as pd
  8 | import numpy as np
  9 | 
 10 | from dist import strategies
 11 | from dist import data
 12 | from dist.engine import backtest, abstraction
 13 | from dist.utils import listclasses
 14 | from dist.strategies import *
 15 | 
 16 | import yfinance as yf
 17 | 
 18 | 
 19 | l = pd.read_csv('assets/tickers.csv')
 20 | 
 21 | f = listclasses.get_file_list('dist/strategies')
 22 | h = listclasses.get_classes('dist/strategies', f)
 23 | g = h[0]
 24 | 
 25 | d = {}
 26 | 
 27 | external_stylesheets = [
 28 |     {
 29 |         "href": "https://fonts.googleapis.com/css2?"
 30 |         "family=Lato:wght@400;700&display=swap",
 31 |         "rel": "stylesheet",
 32 |     },
 33 | ]
 34 | 
 35 | layout = html.Div(
 36 |     children=[
 37 |         html.Div(
 38 |             children=[
 39 |                 html.H1(
 40 |                     children="backtester", className="header-title"
 41 |                 ),
 42 |                 html.P(
 43 |                     children="Analyse & optimise your trading strategies, powered by pyine",
 44 |                     className="header-description",
 45 |                 ),
 46 |             ],
 47 |             className="header",
 48 |         ),
 49 |         html.Div(
 50 |             children=[
 51 |                 html.Div(
 52 |                     children=[
 53 |                         html.Div(children="Ticker", className="menu-title"),
 54 |                         dcc.Dropdown(
 55 |                             id="ticker-filter",
 56 |                             options=[
 57 |                                 {"label": ticker, "value": ticker}
 58 |                                 for ticker in np.sort(list(l['Ticker']))
 59 |                             ],
 60 |                             value="AAPL",
 61 |                             clearable=False,
 62 |                             className="dropdown",
 63 |                         ),
 64 |                     ]
 65 |                 ),
 66 |                 html.Div(
 67 |                     children=[
 68 |                         html.Div(children="Interval", className="menu-title"),
 69 |                         dcc.Dropdown(
 70 |                             id="interval-filter",
 71 |                             options=[
 72 |                                 {"label": interval, "value": interval}
 73 |                                 for interval in ['1m','2m','5m','15m','30m','60m','90m','1h','1d','5d','1wk','1mo','3mo']],
 74 |                             value='5m',
 75 |                             clearable=False,
 76 |                             className="dropdown",
 77 |                         ),
 78 |                     ]
 79 |                 ),
 80 |                 html.Div(
 81 |                     children=[
 82 |                         html.Div(children="Strategy", className="menu-title"),
 83 |                         dcc.Dropdown(
 84 |                             id="strategy-filter",
 85 |                             options=[
 86 |                                 {"label": strategy, "value": strategy}
 87 |                                 for strategy in g
 88 |                             ],
 89 |                             value = g[0],
 90 |                             clearable=False,
 91 |                             className="dropdown",
 92 |                         ),
 93 |                     ],
 94 |                 ),
 95 |             ],
 96 |             className="menu",
 97 |         ),
 98 | 
 99 |         html.Div(
100 |             children=[
101 |                 html.Div(
102 |                     children=[
103 |                         html.Div(children="Parameters", className="menu-title"),
104 |                         dcc.Dropdown(
105 |                             id="param-filter",
106 |                             className="dropdown"
107 |                         ),
108 |                     ],
109 |                 ),
110 |                 html.Div(
111 |                     children=[
112 |                         html.Div(children="Input", className="menu-title"),
113 |                         dcc.Input(
114 |                             id="param-input",
115 |                             className="input",
116 |                             debounce=True,
117 |                         ),
118 |                     ],
119 |                 ),
120 |                 html.Div(
121 |                     children=[
122 |                         html.Div(children="Out", className="menu-title"),
123 |                         html.Div(
124 |                             html.P(
125 |                                 id="params-output",
126 |                             ),
127 |                             className="output"
128 |                         ),
129 |                     ],
130 |                 ),
131 |             ],
132 |             className="menu2",
133 |         ),
134 | 
135 |         html.Div(
136 |             children=[
137 |                 html.Div(
138 |                     children=dcc.Graph(
139 |                         id="price-chart", config={"displayModeBar": False},
140 |                     ),
141 |                     className="card",
142 |                 ),
143 |                 html.Div(
144 |                     children=[
145 |                         html.Div(
146 |                             html.P(
147 |                                 id="profit",
148 |                             ),
149 |                             className="output card stats"
150 |                         ),
151 |                         html.Div(
152 |                             html.P(
153 |                                 id="drawdown",
154 |                             ),
155 |                             className="output card stats"
156 |                         ),
157 |                         html.Div(
158 |                             html.P(
159 |                                 id="sharpe",
160 |                             ),
161 |                             className="output card stats"
162 |                         ),
163 |                     ],
164 |                 className="menu3",
165 |                 ),
166 |             ],
167 |             className="wrapper",
168 |         ),
169 |     ]
170 | )
171 | 
172 | 
173 | @callback(
174 |     [Output("param-filter", "options")],
175 |     [
176 |         Input("strategy-filter", "value")
177 |     ]
178 | )
179 | def update_params(strat):
180 |     global d
181 |     d = {}
182 |     strategy = eval(h[-1][strat])()
183 |     params = [i for i in strategy.params]
184 |     fig = [{"label":i, "value":i} for i in params]
185 |     return [fig]
186 | 
187 | 
188 | 
189 | @callback(
190 |     [Output("price-chart", "figure"), Output("param-input", "value"), Output("params-output", "children"), Output("profit", "children"), Output("drawdown", "children"), Output("sharpe", "children")],
191 |     [
192 |        Input("ticker-filter", "value"),
193 |        Input("interval-filter", "value"),
194 |        Input("strategy-filter", "value"),
195 |        Input("param-filter", "value"),
196 |        Input("param-input", "value"),
197 |     ],
198 | )
199 | def update_charts(ticker, interval, strat, param, paramval):
200 |     global d
201 | 
202 |     strategy = eval(h[-1][strat])
203 |     strat = strategy()
204 | 
205 |     if paramval and param: d[param] = paramval
206 |     
207 |     params = strat.params
208 | 
209 |     for param in d:
210 |         params[param] = d[param]
211 |     
212 |     print(params)
213 | 
214 |     strat = ''
215 | 
216 |     ## data abstraction
217 |     p = abstraction.piston()
218 |     spark = p.spark(interval)
219 |     data = yf.download(ticker, period="5d", interval=spark)
220 |     data = p.crank(data, interval)
221 | 
222 |     ## backtest
223 |     bt = backtest.piston(strategy, data)
224 |     out = bt.run(params)
225 |     
226 |     drawdown=abs(min(bt.balance_history))
227 |     profit=out
228 |     sharpe=0
229 | 
230 | 
231 |     price_chart_figure = {
232 |         "data": [
233 |             {
234 |                 "x": [str(i) for i in range(len(bt.balance_history))],
235 |                 "y": [i for i in bt.balance_history],
236 |                 "type": "lines",
237 |                 "hovertemplate": "$%{y:.2f}<extra></extra>",
238 |             },
239 |         ],
240 |         "layout": {
241 |             "xaxis": {"fixedrange": True},
242 |             "yaxis": {"tickprefix": "$", "fixedrange": True},
243 |             "colorway": ["#17B897"],
244 |         },
245 |     }
246 | 
247 |     return [price_chart_figure, '', ["{} : {} | ".format(i, d[i]) for i in d] if d else '',["Total Profit : {}".format(profit)],["Max Drawdown : {}".format(drawdown)],["Sharpe Ratio : {}".format(sharpe)]]
248 | 


--------------------------------------------------------------------------------
/pages/optimise.py:
--------------------------------------------------------------------------------
  1 | import dash
  2 | from dash import * 
  3 | from dash.dependencies import Output, Input
  4 | 
  5 | import math
  6 | import json 
  7 | import pandas as pd
  8 | import numpy as np
  9 | 
 10 | from dist import strategies
 11 | from dist import data
 12 | from dist.engine import backtest, optimise, abstraction
 13 | from dist.utils import listclasses
 14 | from dist.strategies import *
 15 | 
 16 | import yfinance as yf
 17 | 
 18 | 
 19 | l = pd.read_csv('assets/tickers.csv')
 20 | 
 21 | f = listclasses.get_file_list('dist/strategies')
 22 | h = listclasses.get_classes('dist/strategies', f)
 23 | g = h[0]
 24 | 
 25 | d = {}
 26 | 
 27 | external_stylesheets = [
 28 |     {
 29 |         "href": "https://fonts.googleapis.com/css2?"
 30 |         "family=Lato:wght@400;700&display=swap",
 31 |         "rel": "stylesheet",
 32 |     },
 33 | ]
 34 | 
 35 | layout = html.Div(
 36 |     children=[
 37 |         html.Div(
 38 |             children=[
 39 |                 html.H1(
 40 |                     children="optimiser", className="header-title"
 41 |                 ),
 42 |                 html.P(
 43 |                     children="Analyse & optimise your trading strategies, powered by pyine",
 44 |                     className="header-description",
 45 |                 ),
 46 |             ],
 47 |             className="header",
 48 |         ),
 49 |         html.Div(
 50 |             children=[
 51 |                 html.Div(
 52 |                     children=[
 53 |                         html.Div(children="Ticker", className="menu-title"),
 54 |                         dcc.Dropdown(
 55 |                             id="o-ticker-filter",
 56 |                             options=[
 57 |                                 {"label": ticker, "value": ticker}
 58 |                                 for ticker in np.sort(list(l['Ticker']))
 59 |                             ],
 60 |                             value="AAPL",
 61 |                             clearable=False,
 62 |                             className="dropdown",
 63 |                         ),
 64 |                     ]
 65 |                 ),
 66 |                 html.Div(
 67 |                     children=[
 68 |                         html.Div(children="Interval", className="menu-title"),
 69 |                         dcc.Dropdown(
 70 |                             id="o-interval-filter",
 71 |                             options=[
 72 |                                 {"label": interval, "value": interval}
 73 |                                 for interval in ['1m','2m','5m','15m','30m','60m','90m','1h','1d','5d','1wk','1mo','3mo']],
 74 |                             value='5m',
 75 |                             clearable=False,
 76 |                             className="dropdown",
 77 |                         ),
 78 |                     ]
 79 |                 ),
 80 |                 html.Div(
 81 |                     children=[
 82 |                         html.Div(children="Strategy", className="menu-title"),
 83 |                         dcc.Dropdown(
 84 |                             id="o-strategy-filter",
 85 |                             options=[
 86 |                                 {"label": strategy, "value": strategy}
 87 |                                 for strategy in g
 88 |                             ],
 89 |                             value = g[0],
 90 |                             clearable=False,
 91 |                             className="dropdown",
 92 |                         ),
 93 |                     ],
 94 |                 ),
 95 |             ],
 96 |             className="menu",
 97 |         ),
 98 | 
 99 |         html.Div(
100 |             children=[
101 |                 html.Div(
102 |                     children=[
103 |                         html.Div(children="Parameters", className="menu-title"),
104 |                         dcc.Dropdown(
105 |                             id="o-param-filter",
106 |                             className="dropdown"
107 |                         ),
108 |                     ],
109 |                 ),
110 |                 html.Div(
111 |                     children=[
112 |                         html.Div(children="Input", className="menu-title"),
113 |                         dcc.Input(
114 |                             id="o-param-input",
115 |                             className="input",
116 |                             debounce=True,
117 |                         ),
118 |                     ],
119 |                 ),
120 |                 html.Div(
121 |                     children=[
122 |                         html.Div(children="Out", className="menu-title"),
123 |                         html.Div(
124 |                             html.P(
125 |                                 id="o-params-output",
126 |                             ),
127 |                             className="output"
128 |                         ),
129 |                     ],
130 |                 ),
131 |             ],
132 |             className="menu2",
133 |         ),
134 | 
135 |         html.Div(
136 |             children=[
137 |                 html.Div(
138 |                     children=dcc.Graph(
139 |                         id="o-price-chart", config={"displayModeBar": False},
140 |                     ),
141 |                     className="card",
142 |                 ),
143 |                 html.Div(
144 |                     children=[
145 |                         html.Div(
146 |                             html.P(
147 |                                 id="o_profit",
148 |                             ),
149 |                             className="output card stats"
150 |                         ),
151 |                         html.Div(
152 |                             html.P(
153 |                                 id="o_drawdown",
154 |                             ),
155 |                             className="output card stats"
156 |                         ),
157 |                         html.Div(
158 |                             html.P(
159 |                                 id="o_sharpe",
160 |                             ),
161 |                             className="output card stats"
162 |                         ),
163 |                     ],
164 |                 className="menu3",
165 |                 ),
166 |             ],
167 |             className="wrapper",
168 |         ),
169 |     ]
170 | )
171 | 
172 | 
173 | @callback(
174 |     [Output("o-param-filter", "options")],
175 |     [
176 |         Input("o-strategy-filter", "value")
177 |     ]
178 | )
179 | def update_params(strat):
180 |     global d
181 |     d = {}
182 |     strategy = eval(h[-1][strat])()
183 |     params = [i for i in strategy.params]
184 |     fig = [{"label":i, "value":i} for i in params]
185 |     return [fig]
186 | 
187 | 
188 | 
189 | @callback(
190 |     [Output("o-price-chart", "figure"), Output("o-param-input", "value"), Output("o-params-output", "children"), Output("o_profit", "children"), Output("o_drawdown", "children"), Output("o_sharpe", "children")],
191 |     [
192 |        Input("o-ticker-filter", "value"),
193 |        Input("o-interval-filter", "value"),
194 |        Input("o-strategy-filter", "value"),
195 |        Input("o-param-filter", "value"),
196 |        Input("o-param-input", "value"),
197 |     ],
198 | )
199 | def update_charts(ticker, interval, strat, param, paramval):
200 |     global d
201 | 
202 |     strategy = eval(h[-1][strat])
203 |     strat = strategy()
204 | 
205 |     if paramval and param: d[param] = paramval
206 |     
207 |     params = strat.params
208 | 
209 |     for param in d:
210 |         params[param] = [int(i) for i in d[param].split(',')]
211 |     
212 |     print(params)
213 | 
214 |     strat = ''
215 | 
216 |     ## data abstraction
217 |     p = abstraction.piston()
218 |     spark = p.spark(interval)
219 |     data = yf.download(ticker, period="5d", interval=spark)
220 |     data = p.crank(data, interval)
221 | 
222 |     ## backtest
223 |     par = [i for i in params]
224 | 
225 |     op = optimise.piston(strategy, params)
226 |     optimise_result = op.crank(data, num_threads=4, status=False)
227 | 
228 |     
229 |     best = optimise_result[0][-1]['param']
230 | 
231 | 
232 |     bt = backtest.piston(strategy, data)
233 |     out = bt.run(best)
234 | 
235 | 
236 |     o_sharpe = 0
237 |     o_profit = optimise_result[-1] - optimise_result[0][-1]['hist'][0]
238 |     o_drawdown = min(optimise_result[0][-1]['hist']) - optimise_result[0][-1]['hist'][0]
239 | 
240 |     price_chart_figure = {
241 |         "data": [
242 |             {
243 |                 "x": [str(i) for i in range(len(res['hist']))],
244 |                 "y": res['hist'],
245 |                 "type": "lines",
246 |                 "hovertemplate": "$%{y:.2f}<extra></extra> : "+str(res['param']),
247 |             } for res in optimise_result[0][-10::]
248 |         ],
249 |         "layout": {
250 |             "xaxis": {"fixedrange": True},
251 |             "yaxis": {"tickprefix": "$", "fixedrange": True},
252 |             "colorway": ["#17B897"],
253 |         },
254 |     }
255 | 
256 |     return [price_chart_figure, '', ["{}".format(best)] if best else '',["Total Profit : ${}".format(round(o_profit, 2))],["Max Drawdown : ${}".format(round(o_drawdown),2)],["Sharpe Ratio : {}".format(o_sharpe)]]
257 | 


--------------------------------------------------------------------------------
/readme.md:
--------------------------------------------------------------------------------
1 | [Development](https://discord.gg/QEw3mpE8t3)
2 | 


--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
 1 | beautifulsoup4==4.10.0
 2 | Brotli==1.0.9
 3 | certifi==2021.10.8
 4 | charset-normalizer==2.0.10
 5 | click==8.0.3
 6 | colorama==0.4.4
 7 | dash==2.1.0
 8 | dash-core-components==2.0.0
 9 | dash-html-components==2.0.0
10 | dash-table==5.0.0
11 | decorator==5.1.1
12 | distlib==0.3.4
13 | filelock==3.4.2
14 | Flask==2.0.2
15 | Flask-Compress==1.10.1
16 | free-proxy==1.0.6
17 | idna==3.3
18 | itsdangerous==2.0.1
19 | Jinja2==3.0.3
20 | Js2Py==0.71
21 | lxml==4.7.1
22 | MarkupSafe==2.0.1
23 | multitasking==0.0.10
24 | numpy==1.22.2
25 | pandas==1.3.5
26 | pandas-ta==0.3.14b0
27 | platformdirs==2.4.1
28 | plotly==5.6.0
29 | pyfinviz==0.7
30 | pyjsparser==2.7.1
31 | python-dateutil==2.8.2
32 | pytz==2021.3
33 | pytz-deprecation-shim==0.1.0.post0
34 | requests==2.27.1
35 | six==1.16.0
36 | soupsieve==2.3.1
37 | tenacity==8.0.1
38 | tqdm==4.62.3
39 | tzdata==2021.5
40 | tzlocal==4.1
41 | urllib3==1.26.8
42 | validators==0.18.2
43 | virtualenv==20.13.0
44 | Werkzeug==2.0.3
45 | yfinance==0.1.69


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/t.py:
--------------------------------------------------------------------------------
 1 | import js2py
 2 | from series import Series
 3 | 
 4 | def functions(s):
 5 |     l = s.split('=>')
 6 |     name = s.split('=>')[0].split('(')[0]
 7 |     args = s.split('=>')[0].split('(')[-1].split(')')[0]
 8 |     f = l[-1]
 9 |     x = "{} = function $({})".format(name, args) + "{return" + f + "}"    
10 |     return x
11 | 
12 | #for line in file:
13 | #    # relace math with Math
14 | #    if "?" and ":" in line:
15 | #        js2py.eval_js(line)
16 | #    if "=>":
17 | #        functions(s)
18 |         


--------------------------------------------------------------------------------
/test.py:
--------------------------------------------------------------------------------
 1 | import random
 2 | from re import X
 3 | from dist import data
 4 | from dist.engine import optimise, backtest, abstraction, btv2
 5 | from dist.data import *
 6 | from dist.strategies import examples
 7 | 
 8 | import yfinance as yf
 9 | 
10 | ## data abstraction
11 | p = abstraction.piston()
12 | interval = '15m'
13 | spark = p.spark(interval)
14 | data = yf.download("TSLA", period="5d", interval=spark)
15 | data = p.crank(data, interval)
16 | 
17 | ## declare environment
18 | engine = btv2.engine(data)
19 | strategy = btv2.strategy(engine)
20 | 
21 | #a = btv2.a()
22 | 
23 | #engine.iterate(a)
24 | 
25 | 
26 | 
27 | def t():
28 |     global x
29 |     print(x)
30 |     x+=random.randint(0,10)
31 | 
32 | 
33 | class a:
34 |     x = btv2.Series([1])
35 | 
36 |     def c(self):
37 |         print(a.x)
38 |         a.x+=random.randint(0,10)


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