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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