Transparent Research Framework
How Hedge Scores turn evidence into a consistent research read.
The Hedge Score is a 0–100 research-quality indicator. It combines the latest available company evidence and market context into a comparable snapshot; it does not predict returns or tell you to buy or sell.
What goes into the score
- Current AI signalBullish, Neutral, or Bearish synthesis.
- Evidence confidenceRecency, relevance, consistency, and corroboration.
- Company developmentsFilings, earnings, guidance, capital actions, and material news.
- Catalyst and risk balanceForward events weighed against identifiable downside.
- Market contextPrice behavior and security-specific monitoring inputs.
What confidence means
Confidence measures the strength and consistency of the evidence behind the research view. It is not the probability that a security will rise or fall. A strong-looking score with lower confidence deserves more verification than the same score supported by recent, corroborated evidence.
Why scores change
Scores can move when new verified evidence arrives, older evidence loses relevance, market context changes, or previously conflicting information is resolved.
Portfolio Score
The portfolio score is separate from a stock Hedge Score. It blends diversification, concentration control, estimated market risk, and Hedge Book research coverage. A high-scoring stock can still create poor portfolio risk when it becomes an oversized position.
Refresh and traceability
Market and research-source refreshes run four times daily. Pages display the latest successful update timestamps, and research answers preserve available source links so users can verify the evidence independently.
Delays, source gaps, stale quotes, and model limitations can affect results. When evidence is insufficient, the product should state that limitation instead of implying certainty.
Day Traders
How the overnight screen is calculated
Day Traders is a cached, rules-based research screen for U.S. common stocks. At 7:00 PM America/Chicago, the batch stores the latest regular close, 252 trailing daily closes, 30-session average volume, analyst targets when available, provider attribution, timestamps, and data-quality status. The page reads that completed snapshot; a user refresh does not call market-data providers.
- Rule 1 — Price: retain names whose latest cached regular close is between $25 and $250.
- Rule 2 — Liquidity: retain the top 90th percentile of cached 30-session average volume among Rule 1 names.
- Rule 3 — Price position: require the cached close to rank at or above P60 of the trailing 252 daily closes.
- Rule 4 — Analyst distribution: require the cached close to be at or below P40 of the analyst target distribution, evaluated only after Rule 3. Individual targets are preferred; aggregate ranges are labeled proxies.
- Evidence ranking: rank up to 10 Rule 4 passes for the Watchlist. Select up to five evidence-qualified research candidates only when analyst, company-evidence, dollar-volume, technical-score, sentiment, and historical-outcome floors pass.
Evidence-qualified is a model-generated research label, not a price prediction, personalized recommendation, or instruction to trade. Missing data is shown as unavailable or as a warning; it is not silently converted into a rule failure.
Responsible use
Hedge Scores are research summaries—not ratings, price targets, suitability assessments, or personalized financial advice. Always examine the underlying evidence, your time horizon, position size, liquidity needs, and risk tolerance before making an investment decision.