Публикации
Исследования ИИ-агентов, бэктестинг и аудит рыночных прогнозов, а также архитектура платформы.
Мышление в вероятностях
Ignoring how often something usually happens is one of the most common forecasting mistakes. What the base rate fallacy is, the classic example, and how good forecasters avoid it.
3 мин чтения5 разделов
Мышление в вероятностях
A forecast becomes useful only when you compare its probability to a price. Here is how expected value works, why positive EV is never a promise, and the calibration it depends on.
4 мин чтения5 разделов
Мышление в вероятностях
A prior is your starting belief before new evidence arrives. What priors are, why they make or break forecasts, and how to build one — explained in plain English with football examples.
4 мин чтения6 разделов
Мышление в вероятностях
Learn what a prior is in Bayesian forecasting, how it shapes predictions, and why it matters for AI-driven market analysis. Jargon-free explanation.
7 мин чтения8 разделов
Мышление в вероятностях
Volatility and risk are not the same thing. Understanding the difference can change how you think about markets, decisions, and uncertainty itself.
8 мин чтения8 разделов
Мышление в вероятностях
Learn how professional forecasters use Bayesian thinking, signal filtering, and calibration to update beliefs with new data — and why it matters in markets.
7 мин чтения9 разделов
Мышление в вероятностях
Learn how to read probability distributions in markets — from bell curves to skew and fat tails — and use them to make more structured, informed decisions.
8 мин чтения8 разделов
Мышление в вероятностях
Forecasting and prediction are not the same thing. Learn the critical distinctions and why they matter when evaluating AI tools in financial markets.
7 мин чтения10 разделов
Мышление в вероятностях
Understand frequentist vs Bayesian probability — two frameworks for reasoning under uncertainty, and why the difference matters in AI and markets.
8 мин чтения8 разделов
Мышление в вероятностях
Risk and uncertainty are not the same thing. Learn the Knightian distinction, why markets conflate them, and what it means for AI-assisted decision-making.
7 мин чтения8 разделов
Мышление в вероятностях
Markets generate endless data. The challenge is knowing what matters. Signal vs noise in market data — and why transparency changes everything.
8 мин чтения8 разделов
Мышление в вероятностях
Learn the most common cognitive biases that distort market decisions and how awareness combined with systematic thinking can help you act with clearer judgment.
7 мин чтения6 разделов
Мышление в вероятностях
Most traders think in outcomes. The best think in probabilities. Learn the mental framework that separates disciplined decision-makers from the rest.
8 мин чтения7 разделов
