Repository Index

Say It Simply, Test It Properly. Agent-powered strategy research with independent ledger checks and reproducible reports.

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.

• gekko
• backtesting-trading-strategies
• gekko-backtesttool
• backtest

Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.

• black-scholes
• chainlink
• crypto
• hft

TranslatedA-share research and simulated trading workbench: integrates news event analysis, strategy contracts, quantitative ranking, data admission, simulated order matching, and an auditable ledger.

Trading environnement for RL agents, backtesting and training.

• trading
• backtesting
• reinforcement-learning-agent
• reinforcement-learning

AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.

• ai
• algorithmic-trading
• crypto
• machine-learning

Parameter Optimization for Lean Algorithms

• lean
• optimization
• blazor
• sharpe-ratio

AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms

Wisp CLI — Interactive trading platform for backtesting and live trading across spot, perpetual futures, options, and prediction markets

• algorithmic-trading
• cryptocurrency
• event-driven
• go

Bitcoin - MACD Crossover Trading Strategy Backtest