├── tvdatafeed-1.0.0-py3.8.egg
├── requirements.txt
├── LICENSE
└── README.md


/tvdatafeed-1.0.0-py3.8.egg:
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https://raw.githubusercontent.com/sumit9926/tvdatafeed/HEAD/tvdatafeed-1.0.0-py3.8.egg


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/requirements.txt:
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1 | setuptools~=49.2.0
2 | pandas~=1.0.5
3 | selenium~=3.141.0
4 | websocket-client~=0.57.0
5 | chromedriver-autoinstaller


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/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2021 Anoop Jangra
 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 | 


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/README.md:
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 1 | **TvDatafeed**
 2 | A simple TradingView historical Data Downloader
 3 | 
 4 | For instructions watch this video-
 5 | 
 6 | [![Watch the video](https://img.youtube.com/vi/qDrXmb2ZRjo/hqdefault.jpg)](https://youtu.be/qDrXmb2ZRjo)
 7 | 
 8 | 
 9 | 
10 | ---
11 | 
12 | Import the packages and initialize with your tradingview username and password.
13 | 
14 | If running for first time it will prompt chromedriver download, type 'y' and press enter.
15 | 
16 | ```
17 | 
18 | from tvDatafeed import TvDatafeed,Interval
19 | 
20 | username = 'YourTradingViewUsername'
21 | password = 'YourTradingViewPassword'
22 | 
23 | 
24 | 
25 | tv=TvDatafeed(username, password, chromedriver_path=None)
26 | 
27 | 
28 | ```
29 | 
30 | ---
31 | 
32 | To download the data use `tv.get_hist` method.
33 | 
34 | It accepts following arguments and returns pandas dataframe
35 | 
36 | ```
37 | 
38 | (symbol: str, exchange: str = 'NSE', interval: Interval = Interval.in_daily, n_bars: int = 10, fut_contract: int | None = None) -> DataFrame)
39 | ```
40 | 
41 | for example-
42 | 
43 | ```
44 | nifty_data=tv.get_hist(symbol='NIFTY',exchange='NSE',interval=Interval.in_1_hour,n_bars=1000)
45 | 
46 | 
47 | ```
48 | 
49 | ---
50 | 
51 | Following timeframes intervals are supported-
52 | 
53 | `Interval.in_1_minute `
54 | 
55 | `Interval.in_3_minute `
56 | 
57 | `Interval.in_5_minute `
58 | 
59 | `Interval.in_15_minute `
60 | 
61 | `Interval.in_30_minute `
62 | 
63 | `Interval.in_45_minute `
64 | 
65 | `Interval.in_1_hour `
66 | 
67 | `Interval.in_2_hour `
68 | 
69 | `Interval.in_3_hour `
70 | 
71 | `Interval.in_4_hour `
72 | 
73 | `Interval.in_daily `
74 | 
75 | `Interval.in_weekly `
76 | 
77 | `Interval.in_monthly`
78 | 


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