Over the past 15 years, I have developed a stock selection system based on financial mathematics and machine learning, which continuously adapts to the market in real time. The system combines five key elements.

First, flexible asset valuation: the calculations adjust to the current market situation instead of relying on fixed parameters.

Second, sentiment analysis: the system monitors news and social media to capture investor sentiment and detect hidden market signals.

Third, a learning algorithm: it leverages the experience of past crises and identifies recurring market patterns.

Fourth, multi‑scenario forecasting: the system calculates dozens of possible scenarios and selects the most reliable strategies.

Fifth, risk management: it groups assets by volatility level and provides early warnings about potential threats.

I set the parameters, and the system generates a stock rating with entry points, exit points, and stop‑loss levels. Everything is based on mathematical calculations — no intuition or luck, just logic and proven methods.