Our AI processes key metrics and market trends from trusted platforms like Nasdaq and NYSE to stay updated on market performance.
The model identifies stocks with potential to move 2-15% or more at market open by analyzing premarket price action and unusual volume patterns.
Key indicators such as RSI, moving averages, and trend lines help the AI detect overbought or oversold conditions, signaling potential breakouts or reversals.
The AI model incorporates data such as P/E ratios, revenue growth, and insider or institutional trades—including Senate disclosures—to assess stock performance.
News headlines are scraped and analyzed to detect sentiment shifts related to earnings reports, guidance updates, or mergers and acquisitions (M&A).
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.
Detects significant deviations in premarket volume compared to historical averages, highlighting stocks experiencing increased interest.
Analyzes historical price data to pinpoint key support and resistance levels, helping to predict potential breakout or pullback zones.
Generates a volatility score to estimate the likelihood of sharp price movements during the trading session.
Recognizes common stock behavior patterns such as momentum surges, gap fills, and mean reversions to identify actionable trade setups.
Tracks large trades by insiders or institutions, giving insight into the confidence levels of major market participants.
Aggregates sentiment data into a visual heatmap, showing overall market sentiment based on premarket movers and news trends.
ETA: February 20, 2025
Launch of our version 1.0 AI model.
ETA: March 1, 2025
Begin morning deliverables via newsletter only.
ETA: May 1, 2025
Full platform launch, including web and mobile.
ETA: October 1, 2025
Open up our AI model to developers.