Let Data
Validate Your Strategy
Before putting real capital at risk, use Pluto's backtesting engine to pressure-test your strategy with detailed simulation and analysis.
Configure Strategy Parameters
Set initial capital, trading fees, slippage assumptions, and other environment parameters to model trading conditions more realistically.
Run High-Speed Backtests
Use a high-performance backtesting engine with parallel multi-timeframe processing to run through large historical datasets quickly.
Generate Analysis Report
Generate an in-app analysis view with equity curves, monthly return heatmaps, and detailed trade breakdowns.
StableTest_V4
15+ Core Backtest Metrics
Use deep quantitative analysis to turn raw results into actionable strategy improvements.
Return Capability
Total return rate during strategy execution period
Compound Annual Growth Rate
Net profit after deducting fees
Average profit/loss amount per trade
Sum of all profitable trades
Sum of all losing trades
Risk Control
Maximum drawdown magnitude of capital curve
Measures risk-adjusted returns
Return ratio considering only downside risk
Standard deviation volatility of returns
Ratio of net profit to maximum drawdown
Measures drawdown depth and duration
Trading Quality
Percentage of profitable trades
Ratio of total profit to total loss
Total number of completed open/close trades
Average holding time
Maximum consecutive winning trades
Maximum consecutive losing trades
Professional Backtest Report
A complete view of strategy performance to support better decision-making.
Strategy Overview
Review the core setup details, including the strategy signal config, backtest time range, trading pair, and initial capital, so the test environment stays traceable.
Return Analysis
Analyze cumulative returns, log returns, and monthly heatmaps to see how performance changes across market environments.
Risk Analysis
Use detailed drawdown charts, Sharpe ratio, volatility, and related metrics to assess overall risk exposure.
Trading Analysis
Review win rate, profit factor, average holding time, and trade frequency to better understand strategy style and stability.
Multi-Dimensional Rating
Score strategies across return, risk, and stability dimensions to identify stronger candidates more quickly.
Trade Details
Inspect each trade individually with entry time, exit time, direction, price, and profit or loss details.
More Features
System-level capabilities built for quantitative trading
AI Agent Conversational Backtest
Create and run backtests via AI Agent using natural language—no manual config needed. Ideal for quickly validating strategy ideas.
Task-Based Management
Create backtest jobs in batches and let them run in the background through an automatic queue.
Multi-Timeframe Support
Supports multiple candlestick timeframes like 1m/5m/15m/1h/4h/1d, meeting different strategy needs.
Parameter Optimization
Use automated grid search to discover stronger parameter combinations and refine strategy performance.
Interactive Analysis
Review equity curves, risk metrics, trade lists, and ratings in the console with interactive drill-down—no file export required.
Live Trading Simulation
Simulate network latency and exchange matching behavior to make testing feel closer to live trading conditions.
Ready to Optimize Your Trading System?
Start using Pluto's professional backtesting tools and put data behind every trading decision.