soham874 / nse-analyser

A backend project to analyse data from the National Stock Exchange, to provide fundamental TA and recommendations on trade, with possibility to prepare and train models to predict stock trend.

Based on nsedt module by pratik141

Current Functionalities

Following table highlights the available endpoints, their details and examples.

Base URL for the service is as follows :-

https://nse-analyser.onrender.com/

Endpoint details are as follows

Endpoint	Request Type	Parameters	Description	Example
/health	GET	N/A	Tells if the service is running	https://nse-analyser.onrender.com/health
/getStockData?start_date=yyyy-mm-dd&end_date=yyyy-mm-dd&symbol=xxx	GET	start_date, end_date, symbol	Fetch Historic OHLCV data for a stock from NSE, based on start and end date and stock code	https://nse-analyser.onrender.com/getStockData?start_date=2023-06-02&end_date=2024-01-01&symbol=ITC
/getStockTaData?start_date=yyyy-mm-dd&end_date=yyyy-mm-dd&symbol=xxx	GET	start_date, end_date, symbol	Fetch calculated TA data for a stock from NSE, based on start and end date and stock code	https://nse-analyser.onrender.com/getStocTaData?start_date=2023-06-02&end_date=2024-01-01&symbol=ITC
/taConfigParams	GET	N/A	Fetch the config values that will be used to calculate TA data	https://nse-analyser.onrender.com/taConfigParams
/taConfigParams	POST	JSON fetched from the above request with updated values as payload	Update the config values that will be used to calculate TA data	https://nse-analyser.onrender.com/taConfigParams
/generateTaResult?symbolList=s1,s2	GET	A comma seperated list of Stocks for analysis sent as query parameter	View the ta results for the stocks, along with interesting datapoints highlighted	https://nse-analyser.onrender.com/generateTaResult?symbolList=ITC,HCLTECH

Features

• Automatically persist historic data in CSV format, available for personal use out of the service too.
• Provides TA data for following :
  • Close
  • Close EMA
  • Volume
  • Volume EMA
  • % deviation b/n actual volume and average
  • MACD
  • MACD Signal
  • RSI
  • Best fit regression channel data
• Automatically analyse TA data and provide a comprehensive view of trend reversals and interesting events in a trade history

Instructions to run in local

Install python on your system and run following commands in root directory

pip install -r requirements.txt
python app.py