ALGORITHMIC TRADING
Advanced trading systems leveraging quantitative analysis, machine learning, and high-frequency execution
Trading Dashboard
ANNUAL RETURN
SHARPE RATIO
MAX DRAWDOWN
WIN RATE
Trading Strategies
Technology Stack
Case Studies
Crypto Market Making Strategy
Developed a high-frequency market making algorithm for cryptocurrency trading that provides liquidity while profiting from bid-ask spreads. The system uses advanced order book analysis and dynamic spread adjustment.
ML-Based Equity Predictor
Implemented a machine learning model to predict price movements for S&P 500 stocks. The system incorporates fundamental data, technical indicators, and sentiment analysis from financial news.
Rust-Powered Crypto Infrastructure
High-Performance DeFi Connector
Engineered a Rust-based connector for major DeFi protocols that enables sub-millisecond order execution and settlement. The system leverages Rust's memory safety features and concurrency model to handle multiple blockchain interactions simultaneously.
MEV Protection System
Developed a Miner Extractable Value (MEV) protection system that shields transactions from front-running and sandwich attacks. Utilizes secure memory techniques and innovative transaction routing to preserve trade privacy and execution quality.
Cross-Chain Arbitrage Engine
Built a cross-chain arbitrage system in Rust that identifies and exploits price discrepancies across multiple blockchains. Features atomic execution patterns and risk management algorithms to ensure successful completion of complex multi-step transactions.
Custom Rust Trading Library
Created a proprietary trading library in Rust for ultra-low latency market operations. Designed with zero-copy deserialization, lock-free data structures, and SIMD optimizations to achieve consistent microsecond-level performance even during high market volatility.