Deep dives into AI trading, market analysis, and the future of DeFi.
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How to use Vine Copulas to identify hidden dependencies between dozens of crypto assets and build robust, high-dimensional statistical arbitrage strategies.
How funding rates, basis, and the convergence of decentralized and centralized markets create risk-free opportunities for capital in the crypto market.
How negative cycles, multi-asset graphs, and the RICH algorithm identify arbitrage opportunities in the deep cryptocurrency market with sub-millisecond precision.
Breaking down the most famous formula in finance. How a heat equation from physics enabled option pricing and changed Wall Street forever, with Python examples.
Which anomaly detection methods actually work in crypto algo trading, how to build a cascading protection architecture, and why this is the foundation without which algo trading becomes gambling.
Building optimal crypto portfolios with Python - because YOLO isn't a strategy. Learn how to apply Nobel Prize-winning portfolio theory to crypto investments with practical Python code examples.
Part 2. Practical application of hydrodynamics in algorithmic trading. How quantum hedge funds use fluid physics to predict markets, model liquidity, and manage risks.