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Select target markets
Choose markets to monitor based on event category, liquidity depth, or thematic research focus.
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Market Analytics
Prediction Market Analytics
Analyze liquidity, spread behavior, and structural market shifts so you can evaluate market quality with fewer blind spots.
Prediction market analytics requires a different approach than traditional crypto market analysis. Liquidity concentrates around specific probability ranges, spreads widen during volatility, and structural shifts happen quickly when conviction changes.
Liquidity monitoring
Structural analysis
Signal confirmation
📈
Market Structure Analysis
Monitor quality in real time
RT
Real-time data
∞
Markets tracked
100%
Behavioral data
24/7
Monitoring
The Problem
Why Prediction Markets Need Specialized Analytics
Traditional crypto analytics tools assume liquid order books and stable spreads — conditions that don't exist in prediction markets.
Traditional Analytics Limitations
- Built for continuous markets with consolidated liquidity
- Assume stable spreads and standardized contract structures
- Can't handle event-driven volatility spikes
- Don't track fragmented liquidity across discrete markets
- Miss behavioral wallet flow concentration patterns
- Ignore localized participant behavior by market
PolyMonit Analytics
- Purpose-built for event-driven, non-continuous markets
- Track spread dynamics during volatile periods
- Monitor structural shifts in real time
- Analyze fragmented liquidity across probability ranges
- Surface behavioral wallet flows and conviction shifts
- Understand market-specific participant behavior
Features
Comprehensive Analytics for Prediction Markets
Monitor liquidity, detect structural shifts, and validate conviction signals across markets.
Liquidity & market quality monitoring
Track liquidity depth around key probability ranges to estimate fill quality, slippage risk, and order book concentration before entering positions.
Spread analysis
Monitor spread behavior during volatile periods to understand when pricing becomes unstable.
Structural shifts
Detect when large participants cause liquidity imbalances that persist across refresh cycles.
Volatility context
Track volatility context around news events to calibrate position sizing and risk tolerance.
Signal confirmation & behavioral analysis
Cross-reference wallet flows with market odds to confirm whether conviction aligns with pricing or reveals divergences worth investigating.
How It Works
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Monitor market structure
Review liquidity distribution, spread behavior, and wallet flow concentration in real time.
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Analyze conviction signals
Use behavioral data and structural metrics to inform entry timing, position sizing, and exit strategy.
Use Cases
Pre-trade execution analysis
Evaluate market quality, slippage risk, and liquidity depth before placing orders to optimize fill pricing.
Post-trade performance review
Analyze execution quality and market behavior after trades to refine future entry and exit decisions.
Market structure monitoring
Track how liquidity and spreads evolve around catalysts to calibrate risk and position sizing dynamically.
Research workflow automation
Build repeatable analytics processes for team-based research without custom data pipelines or manual spreadsheets.
FAQ
What makes prediction market analytics different from crypto analytics?
Prediction markets have fragmented liquidity, event-driven volatility, and non-continuous structure. Standard crypto tools assume liquid order books and stable spreads, which don't apply here.
Can I analyze liquidity depth on Polymarket?
Yes. PolyMonit tracks liquidity distribution across probability ranges to help estimate slippage risk and fill quality before placing orders.
Does PolyMonit provide historical analytics?
Current focus is real-time monitoring. Historical analytics and backtesting features are planned as backend indexing infrastructure scales.
Is this tool suitable for quantitative research?
Yes. Teams use PolyMonit to monitor market structure, validate signals, and build repeatable pre-trade and post-trade analytics workflows.
Can I compare analytics across multiple markets?
Yes. Filter and compare liquidity, spread behavior, and wallet flows across markets to prioritize cleaner execution opportunities.
Does this replace trade execution platforms?
No. PolyMonit is an analytics and monitoring layer. Execution decisions and order placement remain fully user-driven.
The Importance of Behavioral and Structural Data
Effective prediction market analytics requires both behavioral data (who is trading, when, and how much) and structural data (liquidity depth, spread stability, order book concentration). Surface-level odds only reveal consensus pricing — they don't show fill quality, slippage risk, or whether conviction is distributed or concentrated among a few participants.
PolyMonit combines wallet intelligence with market structure monitoring to provide a complete analytics layer for prediction markets. Instead of relying on delayed snapshots or fragmented data sources, you can monitor market quality, track whale positioning, and analyze conviction signals in real time — all from one unified workspace.
Start Monitoring Smarter
Bring liquidity, wallet flow, and market structure signals into one streamlined view.
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