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ProductFebruary 28, 2026

PredictEngine Simulation Mode: Paper Trade Risk-Free

Learn how to test trading strategies with virtual funds using PredictEngine's simulation mode before risking real capital on Polymarket.

7 min read

What Is Simulation Mode?

Simulation modelets you run any PredictEngine trading bot with virtual USDC against real-time Polymarket data. Every trade your bot would execute is simulated: buy orders, sell orders, position tracking, and P&L calculations all happen exactly as they would in live trading, but no actual transactions hit the blockchain.

This is the safest way to validate a new strategy before committing real capital. You can observe how your bot reacts to market movements, verify that entry and exit conditions trigger correctly, and measure performance over hours or days — all without risking a single dollar.

Setting Up a Simulation Bot

To run a bot in simulation mode, create or select a strategy in the AI Builder, then toggle Simulation Modebefore clicking Deploy. You'll set a virtual starting balance (e.g., $1,000 virtual USDC) that the bot uses for position sizing. The bot appears on your dashboard with a clear "SIM" badge so you never confuse it with live bots.

Simulation bots use the same market scanner as live bots, running at 5-second intervals against real Polymarket order book data. The only difference is that buy and sell orders are logged locally instead of submitted to the blockchain. This means your simulation results reflect real market conditions including price movements and liquidity.

Analyzing Simulation Results

Every simulated trade is logged with full details: entry price, exit price, position size, hold time, and profit/loss. The simulation dashboard shows your cumulative P&L curve, win rate, average trade duration, and maximum drawdown. These metrics help you evaluate whether a strategy is worth deploying with real funds.

Compare multiple simulation bots side-by-side to determine which strategy performs best under current market conditions. Pay close attention to the Sharpe ratio and maximum drawdown — a strategy with consistent small gains and low drawdown is generally safer than one with occasional large wins but high volatility.

Transitioning from Simulation to Live

When your simulation bot shows consistent positive results over at least 48 hours, you can transition to live trading. Stop the simulation bot, create a new bot with the same strategy, and deploy it in live mode. Start with a smaller allocation than your simulation balance to account for real-world factors like slippage.

Keep in mind that simulation results are not a guaranteeof live performance. Real trading involves actual slippage, gas costs, and order book impact that simulations can only approximate. Start conservatively and scale up as your live results confirm the strategy's viability.

Ready to Start Trading?

PredictEngine lets you create automated trading bots for Polymarket in seconds. No coding required.

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Test Your Strategy Risk-Free

Run your bots against real market data with virtual funds. Prove your strategy works before putting real money on the line.

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1,500 free credits. No credit card required.

Frequently Asked Questions

Does simulation mode use real market data?

Yes. Simulation bots scan real Polymarket markets at the same 5-second intervals as live bots. The only difference is that orders are not actually submitted to the blockchain.

Is simulation mode free?

Running simulation bots consumes credits for the market scanning compute time. Free tier users can run simulations within their 1,500 credit allocation. No USDC is needed since no real trades are executed.

Can I run simulation and live bots at the same time?

Yes. You can run multiple simulation bots and live bots simultaneously. Each bot operates independently with its own strategy, balance, and performance tracking.

How long should I simulate before going live?

We recommend at least 48-72 hours of simulation to capture different market conditions. Longer simulations across a full week provide more reliable data, especially if your strategy targets specific market patterns.