EdgeVisor helps you decide faster, understand why the market looks wrong, verify the trust boundary, and only act when the setup is actually usable.
A prediction market lets you buy YES or NO shares on real events.
A YES share priced at 30¢ = the crowd thinks 30% chance it happens.
If the event happens, your YES share pays out $1.00. You bought at 30¢ → profit: 70¢ per share.
EdgeVisor finds markets where we believe the crowd's 30¢ should actually be closer to 50¢ — meaning the market is underpriced.
Paste one live Polymarket URL and get a structured read instead of a raw headline.
See one worked example in the quick answer → uncertainty → gap format.
Read the method, the learning loop, and the boundaries of what EdgeVisor does not claim.
Use the EV and Kelly calculator when the bottleneck is sizing, not interpretation.
No black box. Here's a real example using an Iran sanctions market.
Every 30 seconds we scan 100 top Polymarket markets. We found: "Will US forces enter Iran by April 30?" priced at 8¢ YES. That means the crowd thinks only 8% chance.
Five independent models analyze the same market from different angles. Each gives a probability. We take the weighted average.
When the gap looks meaningful and the supporting context is coherent, we surface the market with the bull and bear case. The final call is always yours.
The system reads the same market from several angles so one fragile signal does not dominate the whole thesis.
Markets where the structured estimate differs meaningfully from the current price. Updated continuously.
EdgeVisor is a research layer between market data and your trading decision.
| Price disagreement | Must be meaningful, not cosmetic |
| Market quality | Enough liquidity and context to read the price responsibly |
| Evidence support | The thesis should have coherent support, not only a naked number gap |
| Caveat check | Category limits and timing risks must be visible before action |
| User outcome | Surface as more actionable, more informational, or not worth pressing |
| Frequency | Updated as outcomes resolve |
| Adaptation | Internal weighting shifts as signals prove more or less useful |
| Safeguards | Drift checks reduce reliance on unstable behavior |
| Review scope | Signals are evaluated as a mix, not as one permanent truth |
| Score tracked | Probability quality, win rate, and calibration |
The docs cluster is the public knowledge layer behind EdgeVisor. It explains how the pipeline works, how to read a pick, where evidence comes from, and when a setup is useful for action versus useful only for context.
Best first read if you want the mental model: ingestion, analysts, research summary, decision rules, and the final explanation layer.
Price vs estimate is only the start. Learn the right order: gap, evidence, confidence notes, category mode, and execution caution.
Why EdgeVisor documents limits so aggressively, how content is structured for both people and AI retrieval, and where the product deliberately stays narrow.
Embed our analysis cards into your articles. Readers see relevant markets — you earn referral traffic.
Free tier gives you enough to find a profitable trade. No credit card required.
Pro is currently in waitlist mode. Free dashboard is fully usable now.
Not promises — verified outcomes tracked over time with Brier scoring.
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Clear answers. No marketing fluff.