What PredictedPoly is, who it's for, and how it fits into your Polymarket workflow.
Quick Start
Get up to speed in 2 minutes. How to read predictions and use the edge score.
Methodology
Deep dive into the multi-factor AI model powering every prediction.
Data Signals
The 7 data streams feeding our AI — from whale wallets to news velocity.
Edge Detection
How we identify mispricings in the Polymarket crowd and surface them to you.
What is PredictedPoly?
Polymarket is one of the largest prediction markets in the world — billions of dollars in volume flow through markets on politics, crypto, geopolitics, and culture. The crowd often prices these markets efficiently. But not always.
PredictedPoly is an AI that finds when the crowd is wrong. By combining historical market data, live news sentiment, whale wallet tracking, and base-rate calibration, we generate independent probability estimates for the most popular Polymarket bets — then surface the gaps.
Who is this for?
| User | Use Case |
|---|---|
| Active traders | Identify markets where crowd pricing diverges significantly from AI-implied probability |
| Casual bettors | Quickly understand which side of a market has an informational edge, without deep research |
| Researchers | Study systematic biases in prediction market crowds across categories and time windows |
| News followers | Understand the probability-weighted view on current events, grounded in market data |
How to read a PredictedPoly prediction card in under 2 minutes.
Find a market you're interested in
Browse prediction cards on the main page. Filter by category: Crypto, Politics, Geopolitics, or Culture.
Compare Market vs AI probabilities
Each card shows two bar sets — Polymarket odds (what the crowd thinks) and AI Predicted (what our model computes). The gap is the signal.
Check the Edge badge
The card footer shows the AI verdict: Undervalued Pick means the market is underpricing this outcome. Market Overpriced means the favorite is getting too much love.
Read the AI Reasoning
Click AI Reasoning ▾ to expand the model's logic. Each bullet is a specific signal contributing to the AI's estimate.
Trade on Polymarket
We don't execute trades. Click through to Polymarket to act on the analysis. Always size positions according to your own risk tolerance.
The full pipeline — from raw Polymarket data to a published prediction with an edge score.
// PredictedPoly AI Pipeline
1. DATA INGESTION
Polymarket API → live odds, volume, order book depth
Refresh: every 15 minutes across all active markets
2. SIGNAL EXTRACTION
→ Historical resolution patterns (50,000+ outcomes)
→ News sentiment velocity (7-day rolling window)
→ Whale wallet positioning delta
→ Volume anomaly detection
3. BASE RATE CALIBRATION
Historical accuracy = f(category, time_horizon, vol)
Crowd bias correction applied per market type
4. PROBABILITY GENERATION
AI_probability = weighted_ensemble(signals)
5. EDGE DETECTION
edge = AI_probability - market_probability
if |edge| >= 0.08 → flag as opportunity
6. PUBLISH
Top-volume markets updated every 15 min
Update Frequency
| Market Type | Refresh | Reason |
|---|---|---|
| Crypto price markets | 15 min | High volatility, fast-moving signals |
| Geopolitical events | 1 hour | Breaking news can rapidly shift probabilities |
| Politics / elections | 6 hours | Slower-moving, poll and news cycle driven |
| Culture / entertainment | Daily | Low-frequency sentiment signals sufficient |
The math, the biases we correct for, and how we validate the model.
Systematic Biases We Correct For
| Bias | Description | Correction |
|---|---|---|
| Favorite-longshot bias | Crowds overbet favorites, underprice longshots | Regression toward base rate for extreme odds |
| Recency bias | Late-breaking news moves markets disproportionately | News velocity discount on last-24h signals |
| Narrative overconfidence | Strong public narratives create sustained mispricings | Narrative sentiment scored and faded with base rate |
| Late momentum underpricing | Markets slow to update on genuine momentum shifts | Trailing 7-day momentum signal weighted up |
Probability Formula
Where: α + β + γ + δ + ε = 1.0
Weights are market-category specific — see Data Signals
Validation
We backtest against 50,000+ resolved Polymarket outcomes, evaluated on:
- Calibration — when we say 70%, it should resolve YES ~70% of the time
- Edge accuracy — flagged picks should outperform market odds in aggregate
- Brier Score — overall probabilistic accuracy vs. raw market odds
The 7 input streams feeding the AI model, with weights that vary by market category.
| # | Signal | Source | Weight Range |
|---|---|---|---|
| S1 | Historical Resolution Patterns | 50,000+ resolved outcomes | 20–40% |
| S2 | News Sentiment Velocity | 3,000+ news sources, 7-day rolling | 15–35% |
| S3 | Whale Wallet Positioning | On-chain analysis of large positions | 10–25% |
| S4 | Social Sentiment Score | Twitter/X, Reddit, Telegram | 5–20% |
| S5 | Volume Anomaly Detection | Live order book + volume delta | 10–20% |
| S6 | Expert Consensus | Analyst reports, institutional signals | 5–15% |
| S7 | Base Rate Calibration | Historical frequency of similar events | 10–20% |
Weights by Category
CRYPTO S2: 30% · S3: 25% · S5: 20% · S1: 20% · S4: 5%
POLITICS S1: 35% · S6: 25% · S7: 20% · S2: 10% · S4: 10%
GEOPOLITICS S2: 35% · S6: 25% · S1: 20% · S7: 15% · S4: 5%
CULTURE S4: 30% · S2: 30% · S1: 25% · S6: 15%
Every prediction has a 0–100 confidence score reflecting signal agreement, not outcome probability.
Range: 0–100 · Minimum to publish: 45
| Score | Label | Interpretation |
|---|---|---|
| 0–44 | Low | Signals conflicted. Not published. |
| 45–59 | Medium | Moderate agreement. Wide error bars. Informational only. |
| 60–74 | Medium-High | Good convergence. Worth considering in decisions. |
| 75–89 | High | Strong agreement. Highest-conviction predictions. |
| 90–100 | Very High | Near-unanimous. Rare — high-liquidity markets only. |
How PredictedPoly identifies mispricings — and what to do with them.
edge > +0.08 → Undervalued (AI thinks YES is cheap)
edge < −0.08 → Overpriced (AI thinks YES is expensive)
|edge| < 0.08 → No flag (within noise range)
| Badge | Meaning | Example |
|---|---|---|
| 🎯 Undervalued | Market underpricing. AI sees higher probability. | Sinners 18% market / 34% AI = +16pp |
| ⚠️ Overpriced | Market overpricing the favorite. | BTC $100k YES 51% / 44% AI = −7pp |
| ✅ Aligned | AI and market agree. Direction confirmed. | BTC $70k — both bullish |
| 📊 Broadly Aligned | Small divergence. Near-identical direction. | Newsom 25% / 22% AI |
Four primary categories, each with a tailored AI model configuration.
Crypto
Price targets, ETF approvals, protocol launches. Fast-moving — whale wallets and volume anomalies dominate the signal mix.
Examples: Bitcoin $100k EOY, ETH ETF approval, BTC price by end of month.
Politics
Elections, nominations, policy decisions. Deep historical data, driven by polling and structural indicators. Base rates matter most.
Examples: 2028 Democratic nominee, Senate majority control, Trump approval rating.
Geopolitics
Conflict escalation, ceasefires, regime changes. Hardest to price — information moves fast, markets are often slow to update.
Examples: US-Iran ceasefire, Iranian regime fall, NATO Article 5 invocation.
Culture
Awards, box office, sports outcomes. Social sentiment and media coverage velocity are key. These markets over-rely on public narrative.
Examples: Oscar Best Picture, Super Bowl winner, album chart position.
A full anatomy of a PredictedPoly prediction card.
┌─────────────────────────────────────────────┐
│ [Category] [Volume] │
├─────────────────────────────────────────────┤
│ Market Title / Question │
├─────────────────────────────────────────────┤
│ — POLYMARKET ODDS │
│ Outcome A ████████████░░░░ 79% │
│ Outcome B ████░░░░░░░░░░░░ 18% │
│ │
│ — AI PREDICTED │
│ Outcome A █████████░░░░░░░ 61% ← lower │
│ Outcome B ███████░░░░░░░░░ 34% ← higher │
├─────────────────────────────────────────────┤
│ [AI Reasoning ▾] │
├─────────────────────────────────────────────┤
│ 🎯 Undervalued Pick Outcome B +16pp │
└─────────────────────────────────────────────┘
| Element | What it tells you |
|---|---|
| Bar gap size | Bigger gap = larger AI edge. Tiny gap = aligned. |
| Edge pp | "+16pp" means AI assigns 16 percentage points more probability than the market |
| Volume | Higher volume = more efficient market. Low-volume can have larger mispricings. |
| AI Reasoning bullets | Each bullet is an independent signal. More bullets = more sources agreeing. |
When and how predictions are refreshed — scheduled cadence plus event-driven triggers.
| Trigger | Markets Affected | Latency |
|---|---|---|
| Major news event | All relevant markets | < 10 minutes |
| Whale position change ≥5% | Crypto, high-volume | < 15 minutes |
| Market odds shift ≥3pp | All markets | < 15 minutes |
| Scheduled (crypto) | All crypto markets | Every 15 min |
| Scheduled (geo/politics) | All non-crypto | Every 1–6 hours |
Key terms used throughout PredictedPoly.
| Term | Definition |
|---|---|
P_market | Current Polymarket probability — the price of a YES share |
P_ai | PredictedPoly's AI-computed probability for the same outcome |
Edge | P_ai minus P_market. Positive = underpriced. Negative = overpriced. |
Confidence Score | 0–100 score reflecting signal agreement, not outcome probability |
Whale | A participant holding a large position (>$10k) whose moves carry informational weight |
Brier Score | Scoring rule for probability accuracy. Lower is better. Ranges 0–2. |
Base Rate | Historical frequency of similar events resolving YES, used as a prior |
Volume Anomaly | Unusual spike or drop in volume that may signal informed trading |
Favorite-Longshot Bias | Tendency to underprice longshots and overprice heavy favorites |
CLOB | Central Limit Order Book — Polymarket's trading mechanism |
Common questions about PredictedPoly.
Is this financial advice?
No. PredictedPoly is an informational tool. Nothing on this site constitutes financial, investment, or betting advice.
How accurate is the AI?
On backtested data, our model improves over raw Polymarket odds by approximately +0.018 Brier Score. Polymarket is one of the most efficient prediction markets in the world. Expect to be wrong often even when the edge is real.
Why are some markets not covered?
We prioritize markets by volume and data availability. Currently we cover approximately the top 50 markets by volume.
Can I get probabilities via API?
Not yet. A public API is on the roadmap for Q3 2026. Follow @PredictedPoly for updates.
How do I report a wrong prediction?
DM @PredictedPoly on X/Twitter after the market resolves.
Please read before using PredictedPoly predictions in any financial decisions.
No Financial Advice
Nothing on predictedpoly.one constitutes financial advice, investment advice, trading advice, or any other sort of advice.
AI Limitations
Our AI model has known limitations: data lag, model bias, inability to process private information, sensitivity to outlier events, and systematic blind spots. Predictions can and will be wrong.
No Affiliation with Polymarket
PredictedPoly is an independent analysis service, not affiliated with or endorsed by Polymarket. We use Polymarket's public market data to generate analysis.
Betting Risk
Prediction market trading involves financial risk. You may lose money. Never bet more than you can afford to lose.
Regulatory Notice
Prediction market betting may not be legal in your jurisdiction. It is your responsibility to ensure compliance with local laws.