Order-book backtests
Strategies are replayed on real order books and ticks, with maker and taker fees and funding.
Trend, mean reversion, breakout and scalping systems, built from one sentence, backtested on real order books, tuned by the optimizer and run as bots.
Strategies are replayed on real order books and ticks, with maker and taker fees and funding.
Trailing stops, break-evens, partial take-profits and mid-trade rules.
Thousands of backtests search for better settings, with no limit on the parameters, ranked by up to 5 of 12 criteria.
It reads the trades, finds the losing patterns and applies the fix it proposes.
Trend following, mean reversion, breakout and scalping, long or short with leverage. Start from a template, click one together in the Visual Builder, or describe it to the AI Agent.
Describe the strategy, for example: "A BTC scalper on 5-minute candles with RSI and Bollinger Bands."
The agent writes the indicators, the entry and exit rules and the sizing, and checks each one against the engine.
It backtests the strategy on real order books and explains the result.
The optimizer searches for better settings and returns a Best Score and a Best APR variant.
The strategy runs as a paper or live bot, with its P&L, win rate and every trade.
Walk-forward validation replays the optimizer's winning settings on data it never saw. Every change is a new version you can compare or restore, and the Multi-Backtester mixes up to 20 strategies into one backtest.
Everything on this page is part of the white-label app, so you can offer perpetual futures bots to your users under your own name. AI agents can order such strategies from the MCP API.
On Hyperliquid perpetual futures: BTC, ETH, SOL and 25 other majors, in live trading or paper trading.
Strategies are replayed on real order books and ticks, with each venue's fees and funding, from 1-second to daily timeframes.
No. Runbot never holds users' funds and never trades on its own account.
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