Real-time stock trading program using a basic mean reversion algorithm

A profitable mean reversion stock trading algorithm

Trading bot service using NestJs with mean reversion & long short algorithms. Using https://alpaca.markets/ as the broker.

🤖💹 algorithmic trading strategy built backtested using backtrader and python, optimizing risk-adjusted returns with a bollinger mean-reversion strategy

This code gives a broad introduction to 4 different Algorithmic Trading Strategies: Momentum, Mean Reversion, Moving Averages and Machine Learning.

This repository contains python code to create, backtest and automate intraday-trading algorithms in financial markets using Machine Learning (Regression, Classification) and Statistical (Mean-Reversion, Moving Averages, Momentum) trading strategies

Python algorithm for trading the EUR/USD forex pair using a mean reversion strategy. The algorithm retrieves price data from OANDA's API, calculates the z-score of the closing prices, and executes a trade if the z-score is above a certain threshold (indicating an overbought condition) or below a certain threshold (indicating an oversold condition

Metatrader 5/MQL Implementation of Mean Reversion Algorithm

A sophisticated algorithmic trading system designed for prop firm challenges, implementing mean reversion strategies with advanced risk management and multi-timeframe analysis on MetaTrader 5.

Mean Reversion Trading Strategy via Metatrader5, create an algorithmic trading

This project implements and compares two algorithmic trading strategies — Moving Average Crossover (trend following) and Bollinger Band Mean Reversion — on the NIFTY50 index using 10 years of historical data (2015–2024).

Algorithmic Trading Project using the mean reversion pairs trading strategy

Algorithmic Trading Strategies (Mean Reversion, Bollinger Bands, Heiken-Ashi, SVM Machine)

This project showcases a mean reversion trading algorithm on QuantConnect, leveraging the Hurst exponent to identify mean-reverting conditions. The strategy uses statistical measures like mean and standard deviation for buy/sell signals. Included are steps for building, backtesting, and optimizing the algorithm within QuantConnect.

Algobot is a full blown Algorithm bot that uses 3 market leading trading startegies (Order Book Data - SMA - Mean Reversion) to find the best opportunities in the limit market.

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.

Developed a simulation framework to model financial markets and evaluate algorithmic trading strategies. The system simulates stock prices using Geometric Brownian Motion (GBM) and tests strategies like Mean Reversion, Trend Following, and Weighted Trend Following to optimize returns.

Quantitative trading algorithm using mean reversion

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A simple mean-reversion based trading algorithm implemented in python

A Python-based algorithmic trading system supporting 4 modular strategies for Mean reversion and Momentum.

Trading algorithm for pair trading BNO and USO based off of deviations from and reversions back to the mean spread of the trading pair.

Quantitative trading framework implementing Max Dama strategies: mean reversion, momentum, Kelly Criterion risk management, EMA smoothing, online algorithms, and backtesting with performance metrics.

Algorithmic trading platform with backtesting engine, FastAPI REST API, and multiple strategy types (momentum, mean reversion, breakout). Built with Python, PostgreSQL, and Redis.

Deployment-ready algorithmic trading platform: FastAPI + Next.js dashboard with HMM regime detection, Kalman pairs, and OU mean reversion—backtesting and risk-aware execution.

An AI-driven hybrid algorithmic trading bot that dynamically switches between mean-reversion and trend-following strategies based on market regimes, powered by Google Gemini.

A Python application that retrieves and analyzes cryptocurrency data. It includes trading strategy backtesting with moving averages, momentum, and mean reversion algorithms, perfect for crypto analysis and experimentation.

Participated in Prosperity 3, an algorithmic trading challenge with 12,000+ teams worldwide. Built Python trading bots using mean reversion, EMA, and basket arbitrage strategies. Achieved rank 1271 globally and 223rd in India through adaptive risk management.

Orion is a modular AI-powered autonomous trading platform supporting multiple algorithmic strategies (LSTM, momentum, mean-reversion). It includes real-time data ingestion, risk management, backtesting engine, FastAPI interface, and a React dashboard.