AIトレーディング、市場分析、そしてDeFiの未来への深い洞察。
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.
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.
Part 2. Practical application of hydrodynamics in algorithmic trading. How quantum hedge funds use fluid physics to predict markets, model liquidity, and manage risks.
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.
Biography, math insights, and systematic secrets behind Renaissance Technologies and its elusive Medallion Fund.
Multidimensional surfaces that deform over time, and Renaissance-style pattern discovery in high-dimensional spaces