Our Methodology
From raw market noise to institutional-grade intelligence. We deploy a multi-layered extraction pipeline to quantify the qualitative world of finance YouTube.
Channels
Strategic sourcing from a curated list of high-conviction finance analysts. Each channel carries a reliability weight (1–100) that admins tune as track records evolve.
Ingestion
Every signal begins with verbatim capture. We pull native captions when available and fall back to an AI speech-to-text pipeline so no episode slips through.
Extraction
Google Gemini parses each transcript to isolate tickers and label every mention with stance — bullish / neutral / bearish — plus a confidence score.
Scoring
Algorithmic synthesis across a rolling 14-day window, normalized to a 0–100 index, with a consensus bonus when three or more independent channels surface the same name.
Review
Human verification of every published pick. An editor drafts the "why to buy" thesis before any score reaches the public feed.
Scoring Matrix Model
The Quality Threshold
Not every mention becomes a pick. We apply a strict exclusion policy so only high-conviction sentiment — corroborated across channels and confidently extracted — ever reaches your feed.
Scoring questions
How does StockMarketSignals score a stock?
Each ticker's score sums reliability weight × stance × confidence across every qualifying mention in a rolling 14-day window, normalized to a 0–100 index, with a consensus bonus when three or more independent channels mention the same name.
What is a reliability weight?
Every tracked YouTuber carries an editorial reliability weight from 1 to 100 based on their track record. Higher-weight creators move a ticker's score more than lower-weight ones.
Why are some stocks not shown?
Signals must score at least 40 to be published. Mentions that are too thin, too neutral, or low-confidence are automatically discarded and never reach the public feed.
How are stock mentions extracted from videos?
Video transcripts (native captions, or AI speech-to-text as a fallback) are parsed by Google Gemini to isolate tickers and label each mention with a stance — bullish, neutral, or bearish — plus a confidence score.
How current is the data?
Scores recompute every 6 hours over a rolling 14-day window, so the board reflects recent creator sentiment rather than outdated calls.
See the actual math
Real formulas, coverage gates, ticker validation, AI reasoning regeneration, and our forward-only backtest engine — every step documented.