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algorithmic-traiding · GitHub Topics · GitHub

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algorithmic-traiding

Here are 18 public repositories matching this topic...

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

  • Updated Aug 2, 2026
  • Python

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

  • Updated Jul 5, 2026
  • OCaml

VLLM-based trading system

  • Updated Apr 17, 2026
  • Jupyter Notebook

GEMINI based BTCUSDT Binance Futures trading bot for directional signals.

  • Updated Jun 1, 2026
  • Python

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.

  • Updated Jun 19, 2026
  • Python

Autonomous multi-agent LLM trading system with a deterministic risk engine and walk-forward validation harness. Python · Claude API · Coinbase Advanced Trade.

  • Updated Aug 19, 2026
  • Python

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.

  • Updated Jul 17, 2026
  • Python

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

  • Updated May 10, 2026
  • Python

Quant Engine - Architecture - Platform

  • Updated Jun 11, 2026
  • TypeScript

A portfolio analysis engine that selects diversified assets using correlation-based hierarchical clustering and allocates weights using risk-based strategies (risk parity, max Sharpe, minimum variance).

  • Updated Apr 22, 2026
  • Python

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

  • Updated Jul 23, 2026
  • Python

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

  • Updated Jul 1, 2026
  • HTML

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

  • Updated Jun 23, 2026
  • Jupyter Notebook

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.

  • Updated Jul 17, 2026

Predicting short-horizon (10s) crypto price direction from limit order-book imbalance, using real Binance data and leakage-safe, purged time-series validation.

  • Updated Jul 31, 2026
  • Jupyter Notebook

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

  • Updated Jun 20, 2026
  • Python

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

  • Updated May 26, 2026
  • Python

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

  • Updated Jul 29, 2026
  • Go

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