A3 PolyTrade — Prediction Market Intelligence
Track event probabilities, market expectations, liquidity, and scenario shifts across digital and real-world markets — crypto, macro, regulation, politics, sports and more.
Real-time prediction markets
Implied probabilities, 24h volume, liquidity, spread, and probability shifts. Data updates every 30 seconds.

Indian Premier League: Chennai Super Kings vs Lucknow Super Giants

Counter-Strike: Team Falcons vs 9z (BO3) - PGL Astana Group Stage

LoL: Kiwoom DRX vs Hanwha Life Esports (BO3) - LCK Rounds 1-2

LoL: JD Gaming vs Anyone's Legend (BO3) - LPL Group Ascend

LoL: Karmine Corp vs GIANTX (BO3) - LEC Regular Season

Internazionali BNL d'Italia: Karen Khachanov vs Botic van de Zandschulp

Internazionali BNL d'Italia: Lorenzo Musetti vs Francisco Cerundolo

Internazionali BNL d'Italia: Liudmila Samsonova vs Anastasia Potapova
Anatomy of a prediction market
Each market has resolution criteria, scenarios, liquidity context, and recent activity. Here's a live example.

Will Arsenal FC win on 2026-05-10?
Resolves YES if the on-chain or stated criteria are met before the resolution date.
Resolves NO if conditions are not met or are disproved by the resolution source.
Market settles based on a public, verifiable outcome from the listed resolution source on or before the deadline. Reviewed against on-chain data and reputable public reporting.
Movement explained, not predicted
For each major event we surface what changed, possible context, and how confident the explanation is. Movement is not a forecast.
LoL: Karmine Corp vs GIANTX (BO3) - LEC Regular Season
Will Aston Villa FC win on 2026-05-10?
LoL: JD Gaming vs Anyone's Legend (BO3) - LPL Group Ascend
If this happens → these markets may react
A scenario map showing how a single trigger can ripple across connected prediction markets. Educational, not predictive.
If BTC breaks a key technical level
What A3 PolyTrade tracks
Coverage spans seven domains where prediction markets surface crowd-estimated probabilities.
How A3 PolyTrade reads prediction markets
A transparent view of how we interpret price, probability, liquidity and movement.
Market prices can imply crowd-estimated probabilities, expressed as a percentage from 0% to 100%.
Probabilities change with liquidity, traded volume, new information, and participant sentiment.
High implied probability does not mean certainty — outcomes can still resolve against the consensus.
Low liquidity can distort pricing — small orders can move thin markets disproportionately.
Prediction markets are informational, speculative, and carry risk of partial or total loss.
Users must make independent decisions and should not treat A3 PolyTrade data as financial advice.
Honest answers to honest questions
No. A3 PolyTrade is an analytical and educational dashboard. Nothing on this site constitutes investment, trading, or legal advice.
No. Implied probabilities reflect current market pricing. They change continuously and do not guarantee any outcome.
A market price between 0 and 1 (or 0–100%) that participants are willing to pay for a YES contract. It implies the crowd's current estimate.
Thin markets can be moved by small orders, distorting the implied probability. Higher liquidity generally produces more reliable signals.
The process by which a market is settled YES or NO based on the verified outcome from a stated resolution source by the deadline.
Yes. Markets reflect current expectations, not future facts. Outcomes regularly resolve against the consensus.
A3 Lab integrates scenario intelligence into broader analytics, watchlists, and ecosystem tools for users who want a structured view of event-driven signals.
Use scenario intelligence inside the A3 ecosystem
A3 PolyTrade helps users discover event-driven signals. On the main A3 Lab platform you can continue with deeper analytics, watchlists, documentation, and support across the full ecosystem.
Continue to A3 LabTransparency and policies
Documents that explain what A3 PolyTrade is, what it is not, and how the A3 ecosystem operates.
Contact channels and response expectations.









