📊 EasyQuant - Event-driven quantitative trading framework for China A-share market. Backtest strategies, analyze risk metrics, and deploy with eqlib core library.
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Updated
May 23, 2026 - HTML
📊 EasyQuant - Event-driven quantitative trading framework for China A-share market. Backtest strategies, analyze risk metrics, and deploy with eqlib core library.
Backtester for IMC Prosperity 4
C++20 HFT simulator for CME futures. Shadow execution algorithm (% of volume, beats VWAP/TWAP). Position-aware order book with queue simulation. MDP3 decoder, iLink 3, PCAP replay. Lock-free actor framework with sub-microsecond dispatch. Distributed via ZMQ. ES/NQ futures backtesting and live trading.
Master's thesis analyzing and comparing momentum and value investment strategies in FX markets using extensive historical cross-sectional return data
Implemented and adapted selected alphas from the WorldQuant 101 Alphas framework to the cryptocurrency market. Built a 2020–2025 dataset with train/test split, evaluated signals using IC statistics, combined weak alphas via rank normalization, and backtested portfolio strategies, achieving improved Sharpe over an equal-weight benchmark.
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Council of LLMs BTC Trading Strategy
Multi-agent LLM trading framework reproduced from scratch — finds drawdown reduction but no alpha across 2022/2024 regimes
AI agentlar için tasarlanmış TEFAS fon tahsis motoru. Nicel skorlama ve Python analiziyle aylık dağılım önerileri, strateji yönetimi, fon dağılımı ve portföy yönetimi sunar.
Lithium commodity market analysis and trading strategies - Python
Official repository for Falcon Trading Ecosystem. High-performance Quantitative Trading Infrastructure featuring AI-driven EAs, precision indicators, and forensic analysis tools.
Unified Prediction Market Oracle – Combines AI analysis, paper trading, and strategy backtesting into one binary. Run all three engines on any Polymarket or Kalshi event for a complete intelligence report.
Fast, minimalist static site generator written in Go. Supports multilingual routing, ultra‑low latency builds, and developer‑friendly customization.
An adversarial quality loop for LLM-based trading decisions. PlayerAgent proposes, CoachAgent evaluates against formal constraints, evidence accumulates.
Analysis of Hyperliquid trader performance across Bitcoin Fear & Greed sentiment regimes.
Full-stack stock market monitoring and prediction app for NSE/NASDAQ with ML forecasting and autonomous Claude agents
Triarchy is a multi-timeframe quantitative research and backtesting engine designed for hierarchical market decision systems.
Solana High-speed Solana Sniper Bot for Pump.fun with native Jito MEV integration. Optimized for speed and reliability in volatile markets.trading bot, Solana trading bot, Solana trading bot, Solana trading bot, Solana trading bot,
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