1:46

In this short video, the speaker outlines a rules‑based, AI‑informed investing approach that avoids speculative or under‑performing companies. He stresses that only stocks meeting an “all‑green” set of criteria—strong fundamentals, low volatility, and positive risk capacity—should be held. The portfolio should be diversified, either 20 stocks at 5% each or 40 stocks at 2.5% each, held for roughly 12 months and then rebalanced. When a sharp pullback occurs, the AI model flags it as a buying opportunity; because the stocks are all‑green, a dip signals a chance to add to the position rather than an exit trigger. The speaker contrasts this method with traditional wealth‑manager services, arguing that the DIY data‑driven approach eliminates high fees, complex structures, and retail bias, giving investors full control via their broker.

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