The model evaluates stocks through a multi-layered process. First, it scores each stock technically by checking moving averages for a strong bullish pattern, gauging momentum over 5 and 20 days, and analyzing price levels to avoid buying near resistance.

Next, it considers the broader market context by assessing a “Global Verdict.” It compares growth sectors like Nasdaq against defensive staples, watches safe-haven assets like gold and the dollar for risk signals, and tracks crypto flows as a sentiment gauge.

Sentiment and news tone act as an additional filter if the macro environment feels negative, the model won’t chase technically promising stocks.

Finally, an advanced language model acts like a senior portfolio manager to make the trade call, seeking alignment between bullish technicals, positive macro conditions, and favorable news before giving the green light. Conversely, it avoids trades when macro signals suggest caution, even if technicals look strong.