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Most traders lose money not because their ideas are bad, but because they test them with real capital instead of real data first. This platform fixes that. It gives you sub-second historical snapshots of Polymarket’s Up/Down crypto markets, complete with full orderbook depth, so you can replay actual price action and see how your strategy would have performed. I’ve talked to quant traders who went from guessing to measuring edge in minutes, and hobbyists who finally built their first working bot using clean, reliable data. It turns “what if” into “here’s exactly what would have happened.”
Prediction markets move fast, especially on crypto events. Traditional backtesting tools either lack depth or don’t reflect real fill conditions. PolyTest fills that gap by providing production-grade historical data from Polymarket’s BTC, ETH, and SOL Up/Down markets (with more coins coming). No scraping, no broken scripts, no guesswork—just clean JSON you can plug into your code or let AI help you build with. It’s become the go-to for serious traders and builders who want to validate strategies before risking money. The speed and reliability mean you can iterate ideas the same day instead of waiting weeks for data collection.
The dashboard is clean and practical. Browse live and historical markets, filter by coin and timeframe, and see real orderbook previews. API documentation is straightforward with copyable examples that work immediately. Integration feels natural whether you’re coding manually or letting tools like Cursor or Claude handle the heavy lifting. It’s built by people who actually trade and code—every screen respects your time.
You get full 8-level bid/ask depth with sub-second resolution and 99.9% uptime. The data matches live Polymarket conditions closely, so backtests reflect realistic slippage and fill probabilities. Response times stay snappy (p50 around 42ms), even when pulling thousands of snapshots. Traders consistently report that results from these backtests translate well to live trading, which is rare in this space.
Pull historical snapshots across multiple timeframes (5m, 15m, 1h, 4h, 24h) for BTC, ETH, SOL, and soon more coins. Replay complete orderbooks, calculate realistic fills, test entry/exit logic, and measure metrics like win rate, Sharpe, and max drawdown. The API is simple enough for quick scripts yet powerful enough for full trading systems. It works beautifully with AI coding assistants, letting you describe a strategy and get a working backtester quickly.
Your API keys and usage stay private. The platform focuses on delivering clean data without unnecessary tracking or data sharing. For traders working on proprietary strategies, that clean, professional approach builds confidence to experiment freely.
A quant trader backtests a mean-reversion strategy on BTC Up/Down markets and discovers a positive edge before deploying capital. A developer building a prediction market bot uses the API to simulate thousands of trades in minutes. A researcher studies short-term market behavior across different timeframes. A hobbyist learning algorithmic trading validates simple moving-average crossovers on real Polymarket data. Anyone who wants to move from theory to tested strategy finds real value here.
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A generous free tier lets you explore real market data and run meaningful backtests without a credit card. Paid plans scale with your needs—higher snapshot limits, faster access, priority support, and more history. Pricing is transparent and reasonable for the quality and convenience, making it accessible for both individual traders and teams.
Sign up for a free account and grab your API key. Choose your market (BTC, ETH, SOL Up/Down) and timeframe. Make a simple API call to pull historical snapshots. Feed the data into your backtesting script or let an AI coding assistant generate one for you. Analyze results, refine your logic, and repeat. The whole loop from idea to validated strategy can happen in the same afternoon. Documentation includes ready-to-run examples that make the first integration painless.
Many backtesting solutions either use simplified price data (missing real fill conditions) or require complex setup and maintenance. PolyTest stands out by providing clean, deep orderbook snapshots specifically from Polymarket with minimal friction. It’s faster to integrate and more reliable than building your own scraper, while offering better realism than generic price-history APIs. For anyone trading or building on prediction markets, it’s often the most practical choice.
Smart trading isn’t about luck—it’s about testing ideas against reality before risking capital. This platform makes that testing fast, accurate, and accessible. Whether you’re a seasoned quant, a curious developer, or someone just getting started with prediction markets, it gives you the data you need to move with confidence. In a space where every edge matters, having reliable historical orderbook data at your fingertips is a genuine advantage. If you trade crypto prediction markets, this is one tool worth trying today.
What markets are supported?
BTC, ETH, and SOL Up/Down markets now, with XRP, DOGE, BNB and more coming soon.
How far back does the data go?
Extensive historical coverage that continues to grow daily.
Is there a free tier?
Yes—start testing strategies immediately with no credit card required.
Can I use this for live trading?
It’s optimized for backtesting and historical analysis. For live data, use Polymarket’s own feeds.
Does it work with AI coding tools?
Extremely well—the clean JSON responses make integration with Cursor, Claude, etc. very smooth.
AI Research Tool , AI Developer Tools .
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