Define a strategy without writing code
Start from a strategy template and set its rule fields. Declare the market, direction, stop, take profit, size and leverage before running it. A clear rule is easier to challenge than an entry chosen after seeing the chart.
Read the costs and the trade ledger
Inspect net return alongside maximum drawdown, trade count and the individual entry and exit records. Fees, slippage and funding are modeled assumptions. Check the selected data source and coverage before interpreting the result. Synthetic demonstration data teaches the workflow; it does not describe a market’s historical performance.
Test how fragile the result is
Use the diagnostics to change costs and parameters, inspect later samples and examine trade-order sensitivity. A result that depends on one parameter or a few exceptional trades deserves more investigation. These checks describe the supplied sample and assumptions; they do not establish future profitability.
Keep an audit trail, then practice
Review the strategy, data and engine fingerprints in the Strategy Passport. Change one assumption at a time so comparisons stay interpretable. Continue into paper practice with a written invalidation rule and review the gap between your test and your decisions.
Try the workflow
- Choose a market and a rule template.
- Check the data source, costs and position assumptions.
- Run the backtest and inspect its trades and drawdown.
- Challenge the result before starting paper practice.
Follow the crypto backtesting walkthrough. Check workspace access and requirements.
Understand the limits
SuperQuant does not submit orders. Backtests cannot reproduce every venue rule, changing market impact, queue position or live fill. Workspace access has separate trial and wallet requirements; check the current access page.