indian stock data featch
Project description
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
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