📊 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.

Council of LLMs BTC Trading Strategy

Base44 App: NeonTrade AI

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.

AI agentlar için tasarlanmış TEFAS fon tahsis motoru. Nicel skorlama ve Python analiziyle aylık dağılım önerileri, strateji yönetimi, fon dağılımı ve portföy yönetimi sunar.

Multi-agent LLM trading framework reproduced from scratch — finds drawdown reduction but no alpha across 2022/2024 regimes

Market data pipeline for downloading, parsing, and normalizing high-frequency data. Converts raw .bi5 files into structured parquet datasets, with support for resampling and feature-ready data preparation for quantitative, research, and machine learning workflows. Currently only supports Forex data.

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.

Analysis of Hyperliquid trader performance across Bitcoin Fear & Greed sentiment regimes.

An adversarial quality loop for LLM-based trading decisions. PlayerAgent proposes, CoachAgent evaluates against formal constraints, evidence accumulates.

Fast, minimalist static site generator written in Go. Supports multilingual routing, ultra‑low latency builds, and developer‑friendly customization.

Interactive trading strategy backtesting platform for testing, comparing, and visualizing technical indicators.

FIFO price-time priority order matching engine in Rust — 10M orders/sec, P99 < 200ns