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SwitchGain is a Python-based algorithmic trading project implementing Momentum and Mean Reversion strategies on stock data. It automates signal generation using technical indicators (RSI, Bollinger Bands) and provides performance analytics.
An automated trading system that implements technical analysis and machine learning strategies on NIFTY 50 stocks. The system features real-time data processing, backtesting, automated trade execution, and integration with Google Sheets for reporting.
🎯 An interactive Streamlit app to backtest SMA, EMA, and RSI trading strategies with real stock data, portfolio simulation, and beginner-friendly insights.
i made these two scripts to run a RPI4/3/zero2 A straightforward Python-based RSI (Relative Strength Index) trading bot designed for the Kraken exchange. This bot features a web-based dashboard for monitoring and basic controls, and supports both live and paper trading.
Crypto Trading Simulation project that implements and compares three different algorithmic trading strategies for cryptocurrency trading, specifically focusing on Bitcoin (BTC) and Ethereum (ETH).
Multi-Strategy Quantitative Trading Dashboard - EMA Crossover, RSI, SMA, Bollinger Bands with Sharpe Ratio Analysis, Monte Carlo Simulation, and Live Data Integration
A collection of algorithmic trading strategies implemented in Python. Ideal for backtesting and refining trading ideas, this repository serves as a resource for quantitative traders and developers interest.
A collection of advanced TradingView Pine Script indicators designed for smart money concepts (SMC), market structure, RSI strategies, Fibonacci tools, and fair value gaps (FVG).