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4,600+ stocks analyzed
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How AI Trading Works
The technology explained
AI Stock Predictions
Multi-timeframe targets
Step 1: Full-universe price snapshot
A background job continuously refreshes price, % change, volume, and 3-month average volume for 4,600+ US stocks. This is the real-time market data layer — no LLM, no hallucination, just verified numbers.
Step 2: Live web search grounding
When you request an analysis, Gemini runs grounded in real-time web search. It sees today’s news, earnings reports, and analyst commentary — not a frozen training cutoff — so the research reflects current reality.
Step 3: Multi-timeframe targets & confidence
The model generates 7-day, 30-day, 6-month, and 1-year price targets, each with a confidence score and an explicit risk level. You see how strongly the AI believes each target.
Step 4: Plain-English research note
The output is a research note: company overview, bull case, bear case, key catalysts, key risks. It reads like an analyst wrote it — because the AI was prompted to explain its reasoning, not just output a score.
Step 5: Real-time signal scanning
Separate scanners rank the snapshot by momentum, volume surge, and % change, then re-verify top candidates against live Yahoo quotes. This powers the Momentum Radar and top-mover panels.
Most AI tools are frozen in time — they only know what was in their training data. A model trained in January can't tell you what an earnings report released in March means for a stock. Stockinhood grounds every analysis in real-time web search, so the AI sees:
The result: research that reflects what's happening now, not what happened months ago.
This explanation of how AI trading works is for informational and educational purposes only and does not constitute financial, investment, or trading advice. All investing involves risk. Always conduct your own research and consult a licensed financial advisor.