Repository for "Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning" (Lebiedź and Ślepaczuk, 2026).
-
Updated
Jun 17, 2026 - Python
Repository for "Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning" (Lebiedź and Ślepaczuk, 2026).
hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot hyperliquid-stat-arbitrage-trading-bot
Crypto strategy research and paper trading
Skin vs peer basket mean-reversion signals across 8,281 CS2 items and 64 baskets
Cointegration-based pairs trading research lab with walk-forward validation, Deflated Sharpe, and an honest in-sample vs out-of-sample comparison.
BTC-ETH pairs via cointegration — honest null result (ADF −2.11, not cointegrated).
To associate your repository with the stat-arb topic, visit your repo's landing page and select "manage topics."