Find edges in any market
Prediction markets, sports, crypto — scan 500+ sources in real time, get alerts when prices diverge, and build models with notebooks or the API.
Choose the workflow that matches how you operate
Prediction Market Traders
Track Kalshi, Polymarket, Manifold, and more from one workflow. Compare prices across venues and move when the same event is mispriced.
Cross-Platform Scanner
The same event often trades at different prices on different platforms. We find those gaps automatically.
Notebook Analysis
Query live Kalshi and Polymarket odds in Python. Build models against real settlement data.
Real-Time Alerts
Get notified via email, SMS, or webhook when cross-platform price discrepancies exceed your threshold.
Historical Backtesting
Test strategies against tick-level historical data from prediction market launches to today.
Common Use Cases
Best fit
Start here if you compare the same event across venues and want price gaps surfaced quickly.
- Cross-platform arbitrage detection
- Event probability modeling
- Election and political market analysis
- Weather and climate market trading
Quantitative Analysts
Use normalized data, historical archives, and Python-first tooling to build, test, and validate market models without stitching feeds together yourself.
Unified Data Schema
Signals, markets, and historical odds data from 500+ sources normalized into a single schema. No more wrangling different APIs.
Python SDK
pip install evsignals and start querying. Full type hints, async support, and data workflows that fit research notebooks.
Historical Archive
Tick-level data including odds, volumes, and settlement outcomes. Backtest against real market conditions.
Notebook Environment
Jupyter-style notebooks pre-connected to our data. No infrastructure setup required.
Common Use Cases
Best fit
Start here if your workflow begins with data access, notebooks, and repeatable research.
- Probability model development
- Strategy backtesting and validation
- Market microstructure research
- Signal generation and testing
Sports Bettors
Compare odds across DraftKings, FanDuel, Pinnacle, and more, then get alerted when the market leaves a bet mispriced long enough to act.
Odds Comparison
Real-time odds from major sportsbooks in one view. See where the best price is instantly.
+EV Alerts
Automated scanning for positive expected value opportunities. Configurable by sport, league, and bet type.
Line Movement Tracking
Sub-50ms data feeds capture every line movement. Spot sharp action before the market adjusts.
Historical Results
Track your edge over time with settlement data and performance analytics.
Common Use Cases
Best fit
Start here if you line shop aggressively and care about timing, edge, and bankroll discipline.
- Pre-game +EV detection
- Line shopping across sportsbooks
- Sharp line movement tracking
- Bankroll performance analysis
Crypto & DeFi Traders
Monitor Polymarket and other crypto-native venues alongside off-chain markets, with the data you need for on-chain flow, pricing, and cross-venue comparison.
Polymarket Deep Data
Order book depth, trade history, and whale tracking for Polymarket markets.
Cross-Venue Comparison
Compare implied probabilities between on-chain (Polymarket) and off-chain (Kalshi) venues.
API & SDK
REST and WebSocket APIs with Python and Node.js SDKs. Build bots, dashboards, or plug into your existing infrastructure.
Real-Time Feeds
Sub-50ms data from crypto prediction platforms. Every tick, every market.
Common Use Cases
Best fit
Start here if you need both on-chain and off-chain market data in one workflow.
- On-chain vs off-chain arbitrage
- Polymarket whale tracking
- Prediction market liquidity analysis
- Automated trading bot development
Don't see your use case?
EVSignals works for any domain where signals, markets, and historical pricing data drive decisions. Tell us what you're building — we'll show you how our tools fit.