Deep RL framework for multi-pair trading. Official code for Lebiedź & Ślepaczuk (2026).
The strategy identifies statistically bound pairs of assets, models their equilibrium price relationship dynamically, and trades short-term mean-reversion spreads when prices temporarily diverge from equilibrium.
Randomized, regime-aware benchmark for evaluating trading strategy outputs across changing market conditions.
Machine-learning research on extreme day-ahead vs. real-time price spreads in PJM Dominion, with virtual INC/DEC signal backtesting.
A multi-layer automated crypto futures signal algorithm — 22 indicators, 5 layers, live since 2025
Algorithmic trading bots for Deriv synthetic indices — momentum-reversal, FVG-hunting, and pattern-identification strategies in Python. Educational/portfolio showcase.
Backtesting and parameter-optimization framework for crypto trading strategies. JSON-defined rule sets, a C++/pybind11 engine with PSO optimization, and a live dashboard. Research tool — no order execution.
TypeScript backtesting library (npm package) for Polymarket's 5-minute BTC Up/Down markets, with an Azure Functions + RxJS pipeline that records and processes live order-book data.
Momentum-driven, long-only NSE equity strategy with stock selection using RS and Residual based scoring, MVO portfolio construction, benchmarked against the Nifty 500.
We backtest 4 technical trading rules: EMA and MACD crossovers, an RSI, VWAP and ADX confirmation filter, and a double Bollinger range reversion.
Reproducible quantitative research and backtesting platform with walk-forward validation, robustness testing, realistic costs, and automated research reporting.
Rivendell’s publicly toolkit for running validated crypto trading strategies in paper, demo, and live markets with integrated execution and runtime monitoring.
Modular Python framework for developing and evaluating neural-network stock trading strategies with walk-forward validation and realistic backtesting.
Interactive Trading Strategies Learning Platform for Serious Traders
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