Trading on Fyers triggered from TradingView based on CPR by KGS strategy

My Python Projects

Backtesting, Strategy development and adding indicators using Backtrader

Analysis of the reliability/accuracy of the alerts provided by SRStockAlertBot / SRStockAlerBot_FnO.

An open source Java API for Fyers end point

The live data feed is being stored in MongoDB

Fyers API golang client will help users to connect with various fyers APIs and subscribe with WebSocket notification. Users can execute orders in real-time and get order status as well as stream live market data via WebSocket.

This program trades in stock market using fyers api . It buys when supertrend gives buy signal and sells if supertrend gives sell signal , if adx is below 30 it won't trade. it selects supertrend values by bruteforcing all the possible combinations with past data of given stock . It selects stock day before the market opens.It selects the stocks…

Automate the generation of access token for the Fyers API

Welcome to the Fyers API Helper, a Python library designed to streamline your interaction with the Fyers API effortlessly.

A Python library for trading in the Indian Finance Sector with support for 15+ broker APIs.

This project is an automatic trading system designed to automate buy/sell actions on a trading platform using Python and web automation tools. It simulates real-time decision-making by continuously monitoring stock data and executing trades based on predefined strategies.

It is fully automated algo trading , It trades for you in Nifty options using Zerodha kite . You don't need to pay 4000 indian rupees monthly for kite api because this program uses selenium to access zerodha kite website

Learn python and the basics of most of production level functionalities, This will include database functionalities for CLOUD Operations, Deployments in Heroku, Automation and Web Scrapping. Learn basics of Python like never before

A Python-based tool to fetch historical stock market data from Fyers API. Supports downloading OHLC (Open, High, Low, Close) data for equities, indices, and other instruments, making it useful for backtesting, analysis, and algorithmic trading.

Fyers API v3 client in scala with websocket support

A template for building an advanced Automated High-Frequency Trading (HFT) system. Note: For educational purposes only; customize before deploying in live markets.