We gather and normalize over 120+ financial, technical, and sentiment-based data points for each stock, including:

• Market & Price Data (Volume, Market Cap, 52-Week Range)
• Technical Indicators (Support, Resistance, Moving Averages)
• Earnings & Financials (EPS, Valuation, Dividends)
• Sentiment & Insider Activity (Analyst Ratings, Insider Sentiment, SEC Filings)

Once the data is acquired, we apply:

• Data Normalization & Feature Engineering to ensure comparability.
• ML Algorithms to assess trends and momentum.
• Predictive Analytics for outcome forecasting
• LLMs (Large Language Models) to contextualize and rank stocks dynamically.

The LLM is given a specialized prompt to analyze the stocks and rank the top 5 most likely to gain 5% or more in the next two weeks based on:

1. Growth Likelihood (Stocks with strong upward potential are ranked highest.)
2. Analyst Rating (Stocks rated Strong Buy are prioritized.)
3. Recent Price Change (Stocks that recently dropped in price may have a rebound opportunity.)
4. Valuation (Undervalued stocks are given preference over fairly valued or overvalued stocks.)

Our AI also adjusts stop-loss levels dynamically based on the following:

• Stock Volatility (Higher volatility stocks may require wider stop-loss margins.)
• Support Levels (Stocks with strong technical support may have tighter stop-loss thresholds.)
• Risk-Adjusted Strategies (Instead of a fixed 10% stop-loss, we optimize it depending on risk factors.)

Each day, StockSurge AI delivers 15 handpicked stocks (5 from losers, gainers, and most actives) that meet our stringent criteria, allowing traders to confidently make data-driven investment decisions.

StockSurge AI learns from past recommendations and their outcomes to refine and improve its stock-picking models over time.

• Performance Tracking – How many stocks hit the 5%+ target?
• Pattern Recognition – Which factors correlated most with success?
• Adaptive Adjustments – The AI retrains based on market behavior shifts, improving its accuracy daily.