StockExchange 0.0.1

indian stock data featch

StockExchange

stock data featch

1. nse_main() -
2. CSV Model -
    Convert Payload json data  data to CSV using Data frame 
    read CSV File => data = pd.read_csv(filename)
    Featch Csv Columns=> data.columns
    target = data.iloc[:, 5:]
    method- csv_data_model(filename,symbol,start_date,end_date)
    parameter -  filename, symbol, start_date, end_date

3. Graph Model - 
    csv file data(CSV Model) represent as  graphical  format 
    Method - graph(data,symbol,start_date,end_date)
    parameter – data – CSV data  , symbol,start_date,end_date

    use - 
    symbol = 'BAJFINANCE
    series = 'EQ'
    start_date = ('12-05-2023')
    end_date = ('12-06-2023')
    data = pd.read_csv(filename)
    graph(data,symbol,start_date,end_date)

4. Equity Pre Data-
    Equity pre histary featch 
    Method - equity_predata(symbol, series, start_date, end_date)
    parameter – Symbol, series, Start Date, End Date 
    Use - 
    symbol = 'BAJFINANCE
    series = 'EQ'
    start_date = ('12-05-2023')
    end_date = ('12-06-2023')
    equity_predata(symbol, series, start_date, end_date)

    Output - 
        • Create CSV File  of start date to end date  data 
            _id
            CH_SYMBOL
            Outcome
            CH_SERIES
            CH_MARKET_TYPE
            CH_TRADE_HIGH_PRICE
            CH_TRADE_LOW_PRICE
            CH_OPENING_PRICE
            CH_CLOSING_PRICE
            CH_LAST_TRADED_PRICE
            CH_LAST_TRADED_PRICE
            CH_PREVIOUS_CLS_PRICE
            CH_TOT_TRADED_QTY
            CH_TOT_TRADED_VAL
            CH_52WEEK_HIGH_PRICE
            CH_52WEEK_LOW_PRICE
            CH_TOTAL_TRADES
            CH_ISIN
            CH_TIMESTAMP
            TIMESTAMP
            createdAt
            updatedAt
            __v
            VWAP
            mTIMESTAMP

        • Plot graph in linear scal  using Graph method