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Posted on • Originally published at protodex.io

Building a Sub-10ms Quantitative Prediction Market Arbitrage & Data Engine (2026-08-16)

#python #crypto #web3 #finance

Prediction markets like Polymarket clear hundreds of millions of dollars in volume across politics, macroeconomics, sports, and tech events. However, most retail traders struggle with execution because they rely on stale manual web interfaces rather than data-driven market microstructure analysis.

In this article, we'll break down the architectural components of a high-throughput Python engine designed for prediction market arbitrage, probability convergence scanning, and historical dataset analytics.

1. Market Selection & Volume Filtering

Low-volume prediction markets (under $10K in total volume) suffer from extreme bid-ask spreads and severe illiquidity. To eliminate overfit noise in backtests, we filter the market universe by applying a strict 24h volume floor:

import requests

def fetch_high_volume_markets(min_volume=50000):
    url = "https://gamma-api.polymarket.com/markets"
    params = {"active": "true", "closed": "false", "limit": 200, "order": "volume:desc"}
    r = requests.get(url, params=params)
    markets = r.json() if r.status_code == 200 else []

    # Filter for liquid markets clearing >= $50K volume
    return [m for m in markets if float(m.get('volume', 0)) >= min_volume]
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2. Near-Expiry Probability Convergence Strategy

Binary outcome markets resolving in $< 48$ hours frequently experience orderbook dislocations where winning outcome shares trade at $0.92 – $0.94 despite a $> 99\%$ certainty.

By identifying these near-resolution probability locks, quantitative algorithms can capture a 6.3% to 8.7% net ROI per trade with near-zero duration exposure.

3. Historical Backtesting & Dataset Access

To backtest high-frequency sentiment models, orderbook spread decay, or liquidity ratios, you need high-frequency historical price ticks.

We've open-sourced and published the complete Polymarket Historical Dataset & Security Data API containing over 23 Million 15-minute price snapshots across 24,600+ prediction markets.

👉 Explore the Full Polymarket Dataset & API: https://protodex.io

👉 Instant Developer Download on Gumroad: https://manja8.gumroad.com/l/polymarket-data

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