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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.

How fluid dynamics equations became one of mathematics' greatest unsolved problems. Turing-completeness of turbulence, Clay Institute's million-dollar prize, and why AI still can't predict your morning coffee.

Breaking down the mechanics of trading signals and copy trading: why these tools more often enrich their creators rather than subscribers.

How diffusion models are revolutionizing cryptocurrency forecasting, overcoming volatility chaos and creating new opportunities for algorithmic trading.