Z Quant Research Lab focuses on building high-performance algorithmic trading frameworks, smart contracts, and data-driven computational models.
Algorithmic trading strategies, statistical arbitrage, backtesting engines, and predictive financial modeling.
Decentralized protocol design, smart contract security, automated market makers (AMMs), and Web3 infrastructure.
Deep learning applications in market forecasting, sentiment analysis, and automated decision-making engines.
High-frequency backtesting platform designed for statistical arbitrage and multi-asset strategy evaluation.
View Repository →Smart contract suite for decentralized liquidity management and risk-adjusted yield generation.
View Repository →