algorithmic-traiding

Open-source Polymarket AI trading bot: bundle arbitrage (YES+NO≠$1), market making, BTC 15m signals, AI agent & web dashboard. TypeScript.

Helps find coins/stocks with available entry points for trades

Systematic trading research from first principles — signal generation, statistical arbitrage, portfolio optimisation, tail risk, and ML signals. Honest about failures.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

TA-Lib for Go - easy to use, cross platform, without Cgo

ML crypto trading bot — Random Forest + XGBoost ensemble on Binance Futures, with Flask monitoring dashboard

A quantitative simulation for Engineering the Future of Capital Markets, modeling delta-hedging cascades via Zero-Cost Collars, engineered specifically for resource-constrained cloud environments.

Multi-agent autonomous trading system for IBKR — LLM agents propose, code-enforced rules dispose. Regime filters, bracket orders, and a Trading Bible derived from 5 years of market data.

Algorithmic trading (algo-trading) in the stock market with OCaml

Python MT5 trading framework for developers — backtest, benchmark, live execution, and local control center. Build your own system on top.

Research-driven BTC/USDT trading bot with async infrastructure, ML pipeline, and risk management

8-layer regime-aware probabilistic allocation framework. Live validation in progress — 22/30 FTMO trades, 63.6% win rate on process-compliant entries. Mathematical edge question formally open.

Quant Engine - Architecture - Platform

GEMINI based BTCUSDT Binance Futures trading bot for directional signals.

Research-grade SMA crossover backtester with walk-forward evaluation, trade logs and multi-ticker performance comparison.

Проактивный торговый бот для Bybit. Устойчив к разрывам соединения и заточен под охоту на просадках. 🦾🕸️ #Python #TradingBot #Bybit #Crypto

VLLM-based trading system

Python-based Hyperliquid market-making and delta-neutral trading bot with automated hedging, risk controls, WebSocket monitoring, and Telegram operations.