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How Our AI Model Identifies Potential Market Movers:

Real-Time Premarket Data

Our AI processes key metrics and market trends from trusted platforms like Nasdaq and NYSE to stay updated on market performance.

Price Action & Volume Analysis

The model identifies stocks with potential to move 2-15% or more at market open by analyzing premarket price action and unusual volume patterns.

Technical Indicators

Key indicators such as RSI, moving averages, and trend lines help the AI detect overbought or oversold conditions, signaling potential breakouts or reversals.

Fundamental Analysis

The AI model incorporates data such as P/E ratios, revenue growth, and insider or institutional trades—including Senate disclosures—to assess stock performance.

Sentiment Analysis

News headlines are scraped and analyzed to detect sentiment shifts related to earnings reports, guidance updates, or mergers and acquisitions (M&A).

Market Movers Tracking

The model identifies emerging patterns and contextualizes stock movements based on various market indicators such as moving averages, Bollinger Bands, MACD, and Fibonacci retracement levels.

Unusual Volume Detection

Detects significant deviations in premarket volume compared to historical averages, highlighting stocks experiencing increased interest.

Support and Resistance Levels

Analyzes historical price data to pinpoint key support and resistance levels, helping to predict potential breakout or pullback zones.

Volatility Scores

Generates a volatility score to estimate the likelihood of sharp price movements during the trading session.

Pattern Recognition

Recognizes common stock behavior patterns such as momentum surges, gap fills, and mean reversions to identify actionable trade setups.

Insider and Institutional Activity

Tracks large trades by insiders or institutions, giving insight into the confidence levels of major market participants.

Heatmap Sentiment Analysis

Aggregates sentiment data into a visual heatmap, showing overall market sentiment based on premarket movers and news trends.

Development Timeline

AI-Model Backend

ETA: February 20, 2025
Launch of our version 1.0 AI model.

Newsletter Launch

ETA: March 1, 2025
Begin morning deliverables via newsletter only.

Web Application Launch

ETA: May 1, 2025
Full platform launch, including web and mobile.

Developer API Launch

ETA: October 1, 2025
Open up our AI model to developers.

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