ICICI Breeze : Simple Moving Average (Education Purpose Only)

def smatest():
    from breeze_connect import BreezeConnect
    from datetime import datetime,date,time,timedelta
    import pandas as pd
    import numpy as np

    breeze = BreezeConnect(api_key="")
    breeze.generate_session(api_secret="", session_token="")

    # bnhistory = breeze.get_historical_data(interval="1minute", from_date="2022-08-08T07:00:00.000Z",
    #                                        to_date="2022-08-08T18:00:00.000Z", stock_code="CNXBAN", exchange_code="NFO",
    #                                        product_type="options",expiry_date="2022-08-11T18:00:00.000Z",
    #                                        right="call",strike_price=38600)
    bnhistory = breeze.get_historical_data(interval="1minute",from_date="2022-8-1T07:00:00.000Z",to_date="2022-8-8T18:00:00.000Z",stock_code="TCS",
                                           exchange_code="NSE",product_type="others")
    #                            ,
    #                            expiry_date="2021-11-25T07:00:00.000Z",
    #                            right="others",
    #                            strike_price="0")

    sma = pd.DataFrame(bnhistory['Success'])
    # print(sma)
    sma['sma_20'] = sma['close'].rolling(10).mean()
    low = sma['low'].iloc[-1]
    lowp = sma['low'].iloc[-2]
    high = sma['high'].iloc[-1]
    highp = sma['high'].iloc[-2]
    print(sma)
    sma20 = sma['sma_20'].iloc[-1]
    sma20p = sma['sma_20'].iloc[-2]
    # print(sma20,sma20p,low,lowp,high,highp)

    if sma20 < pd.to_numeric(low) and sma20p > pd.to_numeric(lowp):
        print("Buy",sma['close'].iloc[-1])
    if sma20 > pd.to_numeric(high) and sma20p < pd.to_numeric(highp):
        print("Sell",sma['close'].iloc[-1])
smatest()



    # Author  : Mahendran Paramasivan

 

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