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Quant AI and trading AI skills for quant agents and AI trading agents: causal market analysis, investment research, trading strategy discovery, alpha discovery, backtesting, and validation with Abel.
ChronosTrade is an enterprise-grade quantitative trading and analytics platform. Engineered for high performance, it delivers a unified pipeline for market data ingestion, dynamic technical indicator computation, high-concurrency backtesting (parameter optimization), real-time signal dispatching
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.
〽FunTrade: A professional-grade virtual crypto exchange platform developed using Flutter and Provider. Includes real-time price tracking, advanced portfolio analytics, and integrated gamification engines like Lucky Spin and Slot Machines.
Real-time mock stock market simulator — Node.js, Express, and MySQL. Trade stocks, see net worth rankings, view company owners, and access admin/mod/dev dashboards with a mobile-first UI.
Data-driven analysis of trader profitability, win rates, asset performance, and risk behavior across Bitcoin Fear & Greed market regimes using Hyperliquid trading data.
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.
Sanitized showcase of a Solana-based financial trading engine with multi-strategy execution, risk controls, dashboards, logs, and backtesting artifacts.