Vantex
LIVE
SCANNING 2,412 markets
PIPELINE 83ms
UPTIME 99.7%
NYC · EWR
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Prediction market data
turned into
mathematical trades.

Discover → Signal → You decide. Real-time L2 orderbook and cross-venue data from Polymarket and Kalshi, distilled into signals — you decide which ones to trade.

● data pipeline 83ms
Markets analyzed
2,412
Polymarket CLOB · real-time
Signal accuracy (7d)
73.4%
Verified on-chain · 14d backtest
Models running
6
OB depth · divergence · path · surface
Signal Feed — Live
14:31:02 BTC·UP·5m OB imbalance flagged: bid wall $0.512 / ask $0.496 → Δ1.6¢
14:31:02 ETH·UP·15m venue divergence: PM $0.623 vs Kalshi $0.604 → Δ1.9¢
14:31:01 SOL·DOWN·5m graph solver: 3-hop path A→B→C found → +2.8¢ edge
14:31:01 TRUMP·WINS·2028 pair imbalance: YES $0.341 / NO $0.665 → Δ0.6¢
14:31:01 BTC·UP·1h signal decayed (spread closed before confirm)
14:31:00 FED·RATE·JUL venue divergence: PM $0.782 vs Kalshi $0.798 → Δ1.6¢
Mathematical Models
Order Book

OB Depth Analysis

Real-time L2 orderbook modeling. Detects bid/ask imbalances and support/resistance zones before they resolve. Probability-weighted edge estimates on every signal — you decide which ones to trade.
Refresh rate83ms
Signal ratio1 in 14
Cross-Venue

Venue Divergence

Tracks 180+ matched event pairs across Polymarket and Kalshi. When same-event prices diverge beyond model threshold, you get the signal — you decide the execution and timing.
Avg divergence3.4¢
Pairs tracked180+
Graph Theory

Path Solver

Multi-hop market graphs modeled as a directional network. Identifies payout-guaranteed paths through complementary markets. Up to 5 hops deep, solved in under 50ms.
Paths surfaced112/min
Max depth5 hops
AI Pipeline — Models that learn, signals that sharpen
Model Activity — Live
14:31:02 threshold-optimizer tightened DIVERGENCE_MIN 0.8¢ → 0.6¢ (24h precision gain)
14:30:47 signal-auditor verified 1,847 signals vs on-chain outcomes — 73.4% accuracy
14:29:18 noise-filter suppressed 3 low-confidence signals (volatility artifact)
14:27:55 volatility-model adjusted BTC·5m probability weights (IV spike +12%)
14:25:12 pair-discovery added 14 new matched pairs across venues
14:23:44 latency-monitor data pipeline: 81ms e2e (baseline 83ms, within σ)
14:22:09 data-integrity replayed 24h feed: 0 gaps detected
14:20:31 backtest-runner 14-day replay, path-solver → precision 71.2%, sharpe 1.84
14:18:56 edge-validator pruned 7 pairs below confidence threshold
14:16:02 model-weighter recalibrated ensemble: OB 0.38 / Div 0.35 / Path 0.27
How the models improve
Rolling Backtest Engine
● Active — 14-day window, replayed every 4h
Every model is replayed against 14 days of L2 orderbook and settlement data. Parameters are hill-climbed against actual outcomes. Precision improvements deploy automatically; regressions roll back. You always trade against the best-performing model version.
Signal Accuracy Audit
● Active — last sweep 14:30 UTC
Every signal is tracked to its on-chain result. False positives trigger model weight adjustments. The pipeline self-audits across 8 dimensions: precision, recall, timeliness, edge decay, venue drift, fill probability, volatility adjustment, and noise ratio.
Market Structure Awareness
● Active — 2,412 markets monitored
Models adapt as the market evolves. New markets ingested and classified within 60 seconds. Liquidity regime changes trigger parameter recalibration. When a venue adds a matching event, divergence models update automatically.
FAQ — Frequently asked questions
Questions & answers
What is Vantex?
Vantex is a prediction market analytics platform. It turns live orderbook and cross-venue market data into mathematical signals. You decide which signals to trade.
Which markets does Vantex cover?
Polymarket and Kalshi. Vantex monitors 2,412 markets in real time and tracks 180+ matched event pairs across the two venues.
How is signal accuracy verified?
Every signal is tracked to its on-chain outcome. Current 7-day signal accuracy is 73.4%, and a rolling 14-day backtest is replayed every 4 hours against L2 orderbook and settlement data.
How fast are signals delivered?
The data pipeline runs end-to-end at 83ms, with real-time L2 orderbook refreshes on the same cadence.
How does the Path Solver work?
It models multi-hop market graphs as a directional network and identifies payout-guaranteed paths through complementary markets — up to 5 hops deep, solved in under 50ms, surfacing about 112 paths per minute.
Is the data live?
Yes. This page streams a live signal feed, and the models run against real-time L2 orderbooks across venues.
How do I get access?
Click Sign In on this page. Access is via the web app, and checkout is by credit card through Stripe with a custom USD amount.
Is Vantex financial advice?
No. Vantex produces data signals, not recommendations. You decide execution, timing, and whether to trade at all.
What models power Vantex?
Three core models: OB Depth Analysis (real-time L2 orderbook imbalances), Venue Divergence (180+ matched pairs across Polymarket and Kalshi, average divergence 3.4 cents), and Path Solver (multi-hop payout-guaranteed paths). Six models run in total, including volatility and market-surface models.
Where is Vantex based?
Unit 2A, 17/F, Glenealy Tower, No.1 Glenealy, Hong Kong, S.A.R. Vantex is incubated by OCBC Hong Kong.

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Incubated by

Strategic partnerships that power our infrastructure and execution.

OCBC Hong Kong