Now in Beta

The Future of
Prediction Markets
Backtesting

Test your trading strategies with historical data from prediction markets. Analyze performance, optimize parameters, and trade with confidence.

Backtest Results
Total Return
+1.64%
Win Rate
76.54%
Total Trades
162
Max Drawdown
-0.93%

Powerful Features

Everything you need to test and optimize your prediction market strategies

Multiple Strategies

Test Grid and Momentum strategies with customizable parameters

Real-Time Results

Get instant backtest results with detailed statistics and visualizations

Historical Data

Access historical market data from various prediction market topics

How It Works

Get started in three simple steps

01

Select a Topic

Choose from available prediction market categories like elections or BTC price movements

02

Pick a Market

Browse markets within your selected topic and choose one to backtest

03

Run Backtest

Configure your strategy parameters and get instant results with detailed analytics

Market Research

Deep Dive into
Market Microstructure

Explore maker vs. taker dynamics, calibration bias, longshot effects, and win-rate patterns across Kalshi prediction markets — backed by real trade data.

Live InsightsKalshi
Maker Avg Return
vs taker –4.1%
+8.3%
Longshot Bias
overpriced at <10¢
Detected
Calibration Drift
across price buckets
±6.2pp
Peak Trading Hour
highest VWAP spread
14:00 UTC

About Us

Built by traders and developers who understand the market

TJ

TJ

Co-Founder (Ex-COO, Product)

Former COO and product leader who scaled institutional trading operations and infrastructure. Focused on turning real trading workflows into opinionated, usable tools for research and execution.

JP

JP

Quant-Dev

Quantitative developer with experience at two hedge funds, building systematic strategies and trading systems. Winner of the BasedLATAM hackathon with Bondi Finance, blending research rigor with fast prototyping.

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