Start here
How EdgeVisor Analytics Works
New here? Build the mental model first.
Open path- How to Read an EdgeVisor Pick
- EdgeVisor Methodology
Docs cluster
EdgeVisor Docs and Decision Playbook
A public knowledge hub for how EdgeVisor builds a thesis, how to read a pick, where evidence comes from, and how to turn analysis into a disciplined decision instead of blind action.
Use this section like an operator manual: start with the pipeline, learn how to read a pick, then move into proof, category-specific caveats, and trade judgment.
Choose your path
Start from the question you actually have, not from the internal architecture.
How to use the analysis
How to Read an EdgeVisor Pick
Need to act on a pick? Start with interpretation and action rules.
Open path- How to Read the EdgeVisor Dashboard UI
- EdgeVisor vs Crowd Price
- Where EdgeVisor Links Come From
Evidence and proof
Track Record and Learning Loop
Need trust before action? Inspect the scoring, links, and limits.
Open path- Where EdgeVisor Links Come From
- EdgeVisor FAQ
Category-specific reads
Prediction Market Analytics for Politics
Working in a specific market vertical? Read the category caveats first.
Open path- Prediction Market Analytics for Crypto
- Prediction Market Analytics for Macro
- Prediction Market Analytics for Sports
Use cases
Each path is designed to answer a different stage of the user journey, from discovery to execution judgment.
Core docs
Core docs
How EdgeVisor Analytics Works
A practical walkthrough of the EdgeVisor analytics pipeline, from market ingestion and analyst signals to explanation payloads, decision framing, and user action.
Core docs
Where EdgeVisor Links Come From
How EdgeVisor produces citations, source links, and market links, how they differ, and what each one should mean to a user making a decision.
Core docs
EdgeVisor Methodology
The public methodology behind EdgeVisor: structured knowledge, extractable explanations, decision usefulness, and explicit limits instead of vague AI claims.
Core docs
Track Record and Learning Loop
How EdgeVisor records predictions, marks outcomes, measures probability quality and win rate, and adapts internal weighting over time without pretending metrics are profit.
Categories
Categories
Prediction Market Analytics for Sports
How EdgeVisor handles sports markets using market structure, baseline context, liquidity, and practical rules for reading sports picks without a news-heavy evidence layer.
Categories
Prediction Market Analytics for Politics
How EdgeVisor analyzes political markets, when citations can appear, how informational framing works, and why strong political context does not always mean a strong trade.
Categories
Prediction Market Analytics for Crypto
How EdgeVisor handles crypto markets using crowd price, cross-market comparisons, fresh context, and practical rules for judging repricing speed versus usable edge.
Categories
Prediction Market Analytics for Macro
How EdgeVisor approaches macro and economics markets using market structure, official-feed citations, and practical rules for handling release risk and event timing.
Categories
Prediction Market Analytics for Other Categories
What EdgeVisor does when a market does not fit sports, politics, crypto, or macro, and how to read thin-context markets without over-promoting weak evidence.
Support
Support
EdgeVisor FAQ
Answers to the most common questions about EdgeVisor analytics, citations, categories, and what the product does not claim.
Support
EdgeVisor Glossary
A practical glossary for EdgeVisor terms like Brier score, category mode, citations, confidence notes, and behavioral market bias.
Support
EdgeVisor vs Crowd Price
What EdgeVisor adds on top of the crowd price, how it measures structured disagreement, and why the crowd price remains a core input instead of something to ignore.
Support
How to Read an EdgeVisor Pick
A step-by-step guide to reading a pick: crowd price, EdgeVisor estimate, evidence, confidence notes, citations, trade readiness, and decision mistakes to avoid.
Support
How to Read the EdgeVisor Dashboard UI
A map of the live pick card: Market vs EdgeVisor vs Preddy, edge labels, confidence, gap badges, warnings, track record context, and paper-style execution notes.