Algo Trading Codes

Hi Traders.
In this thread, I will be posting function, live codes regarding algo Trading.

@sujith . please don't close this thread. As it would be good to have a single thread for posting new information.
  • Imran
    Kite historical provide candles till daily timeframe. so for weekly and monthly candles, we have to resample them.
    below codes can be directly applied to historical data for getting weekly and monthly candles

    df['date'] = pd.to_datetime(df['date'])
    df = df.set_index(df['date'])
    logic = {'open' : 'first', 'high' : 'max', 'low' : 'min', 'close' : 'last', 'volume': 'sum'}

    # Weekly resampling
    df.resample('W-MON', closed= "left", label="left").apply(logic)

    # Monthly resampling
    mdf = df.resample('MS').apply(logic)

  • DD1365
    I am a full time developer and have been trading since 2012. I am a Zerodha client since 2015 and have been profitably running Cloud based Intraday and Positional Trading and Investing Algorithms for Indices and Stocks since past 3 years. I design, deploy, and manage algorithms for myself, my family members and more than 15 retail clients and prop traders. Anyone needing my support can reach me at: +91-9749-521-023 [email protected]
  • cdesai1987
    Contact me for the best algo developed in India @ 9-8- 5-0--0-7-3-2-1-7* at [email protected]
    This algo is purely developed on the cash market stocks based on the preopen prices. All orders are CO Orders and are fully automated.
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