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Live · Expected-value engine

The edge , before the line moves.

A single feed across Kalshi, Polymarket, and 10+ sportsbooks. Median alert in 1.4 seconds.

Integrating Kalshi Polymarket DraftKings FanDuel Pinnacle
Live
markets 127
latency 23ms
today 47
  • S

    NBA: Celtics ML vs Lakers

    Tonight 7:30 PM ET

    +4.2%
  • M

    Will Fed cut rates in June?

    Expires Jun 18

    +3.8%
  • S

    UFC 315: Main Event Winner

    Sat, Mar 21

    +1.9%
  • C

    Bitcoin above $120K by July?

    Expires Jul 1

    +1.5%
  • M

    Will GDP print above 2.4%?

    Q2 release

    +2.7%
  • S

    NFL: Chiefs -3.5 vs Ravens

    Sun 4:25 PM ET

    +2.2%
last update just nowOpen full scanner

Active traders

2400+

Connected sources

500+

30-day feed uptime

99.97%

P95 quote latency

<50ms

Integrated data sources

  • Kalshi
  • Polymarket
  • DraftKings
  • FanDuel
  • Pinnacle
  • BetMGM
  • Manifold

How it works

Scan. Detect. Route.

One pipeline from a noisy multi-venue market into a ranked, fee-adjusted edge in under two seconds.

  1. 01 500+ sources · sub-50ms refresh

    Scan

    Every quote from every venue, normalized into one schema and de-duplicated across markets.

  2. 02 Probability gap · liquidity floor · stale-quote filter

    Detect

    Cross-venue divergence, fee-adjusted edge, and execution-readiness checks run on every tick.

  3. 03 Slack · SMS · webhook · WebSocket

    Route

    Push to dashboard, Slack, SMS, webhook, or your bot. Median time from edge to alert: 1.4 seconds.

EVS://signal/s02-FED-JUN
Will the Fed cut rates in June? Kalshi × Polymarket
Live
+3.8% edge 14.6 min
66¢ 60¢ 54¢ 9 AM 12 PM 3 PM 6 PM 62¢ 58¢
Kalshi Polymarket Macro

Edge detected

+3.8%

Gross spread
4.0¢
Fees (2 legs)
−0.2¢
Net edge
+3.8¢

Kalshi +6.5¢ since 9 AM; Polymarket −2.5¢. Crossed 1:12 PM.

Alert routed · 2:14 PM ET

90-day metrics

Operational output, not modeled lift.

Verified across scanned markets. Live, executable quotes only — no backtest sleight of hand.

Avg edge surfaced

+3.2%

Mean expected value across surfaced signals over 90 days.

Alerts per day

47

Positive-EV signals identified daily across all markets.

Median close window

14.6 min

Time from divergence to convergence on the top 50 alerts.

Fill-ready alerts

83%

Cross-venue hit rate

61%

Methodology

Fee-adjusted, live quotes only

Based on scanner output from the last 90 days. Past performance does not guarantee future results.

Who it's for

One feed. Every market structure.

Build your strategy with the same data backbone that powers prediction-market quants and Sunday-slate sportsbook desks alike.

"We replaced three internal scrapers with the EVSignals API in a weekend. The schema across venues is the part nobody else gets right."
Q

Quantitative researcher

Mid-frequency systematic fund

"The scanner pays for itself on a single Sunday slate. The Slack integration means the desk sees the same edge at the same second."
S

Sports trading lead

Boutique sportsbook syndicate

Get started

Run a real signal in under five minutes.

14-day trial. No credit card. Full scanner, notebooks, and API access.

$ pip install evsignals

FAQ

Questions that come up first.

How are data notebooks different from regular Jupyter?
They come pre-connected to live prediction market feeds. One line of Python imports real-time odds from Kalshi, Polymarket, and sportsbooks. Built-in datasets, market visualizations, and backtesting utilities included — no pipeline setup.
What sources does the +EV scanner cover?
Kalshi, Polymarket, Manifold, major sportsbooks (DraftKings, FanDuel, Pinnacle, and more), and crypto prediction platforms. The scanner compares implied probabilities cross-platform and flags when the same event is mispriced.
Can I use my own models with the API?
Yes. The REST API plus Python and Node.js SDKs give you normalized signals, markets, and historical odds data across all sources in one schema. Pipe it into your own models, or use our notebooks to build new ones. We provide the data infrastructure — you bring the strategy.
How far back does the historical data go?
Our archive includes tick-level odds data, volumes, and settlement outcomes across prediction markets and sportsbooks. Historical depth varies by source — Polymarket and Kalshi data goes back to their launch. New sources are added continuously.