Backtest Crypto Strategies
on Real Market Data

Build, Run, and Analyze thousands of strategy combinations in a single backtest.

Intrabar Simulation captures execution inside each candle for more realistic results.

No credit card required

Up to 10K
Strategy Combinations per Run
Intrabar
Price-Level Condition Checks
1m
Entry & Exit Time Precision
Cloud
Backtest Execution
No-Code
Strategy Builder

How It Works

From Idea to Insight in 3 Steps

1

Create Strategy

Build strategies visually using indicators, conditions, and risk rules. Set multiple parameter values to generate hundreds or thousands of variations — no coding required.

2

Run Backtest

Run all strategy combinations in a single backtest. Intrabar simulation captures realistic entry and exit prices with minute-level precision.

3

Analyze Results

Analyze the full result set, then drill into any combination for deeper performance and trade analysis.

AlisQuant in Action

Build, backtest, and analyze crypto strategies in one workflow.

Analyze Every Backtest at Two Levels

Compare all tested combinations at once, then drill into any combination down to individual trades.

Batch Analysis
Across All Combinations

Compare thousands of tested combinations in one view. Explore performance, risk, trading activity, and relationships across the entire result set.

Results Table: key performance metrics across all combinations

Distributions: Net Return, Trade Count, and Max Drawdown

Relationships: Net Return vs Max Drawdown, Trade Count, and Sharpe

Deep-Dive Analysis
Inside a Combination

Select any combination and dive into its performance, risk, and every trade it generated.

Equity & Risk: Equity Curve, Drawdown, and Drawdown Duration

Trade Performance: PnL per Trade and Trade Return Distribution

Trade Behavior: Trade Duration and Exit Type Distribution

Strategy Stability: Rolling Win Rate and Expectancy

Why Most Backtests Are Misleading

Traditional candle-close simulations often hide execution risk. Intrabar simulation helps you test strategies in conditions closer to live trading.

Typical Candle-Based Tools
Candle-Close Execution

Entries and exits are often triggered only on candle close

Indicators are calculated on already completed candles

No realistic intra-candle price movement

Results can look overly optimistic

AlisQuant Approach
Intrabar Simulation

Conditions are checked on every price movement

Indicators update dynamically during simulation

Entry and exit timing is evaluated with minute-level precision

Results you can use with more confidence

Same strategy, different assumptions:

Candle-based result: +120%Intrabar simulation: +32%
Built with the Trading Community

Help Shape AlisQuant

We are building this platform together with traders, quants, and strategy researchers.

Missing an indicator? Need a new exchange or market type? Send a request and influence what we build next.

Most requested ideas are prioritized in our roadmap

Ready to Start Backtesting?

Run more realistic Backtests. Analyze with more confidence.

No credit card required