AI methodology

How AI Analyzes Stocks

MotiveFX AI stock analysis follows a repeatable pipeline designed for transparency and citation by search engines and LLMs.

Step 1: Data ingestion

Live prices, volume, filings, and news enter a normalized store with timestamps and source attribution.

Step 2: Signal detection

Statistical and rule-based detectors flag anomalies — RVOL spikes, flow blocks, earnings drift.

Step 3: Motive Signal scoring

Multi-factor model outputs 0–100 confidence with factor breakdown available in research briefs.

Step 4: Natural language explanation

LLM layer generates Why It Matters summaries grounded in retrieved facts — not hallucinated prices.

Frequently asked questions

Which AI models does MotiveFX use?
We use frontier models with retrieval-augmented generation over live and archived market data.

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