Can this idea become testable rules?
Sentence mode, Canvas mode, templates, and reusable blocks help convert chart logic into a strategy without Pine Script or Python.
Crypto strategy backtesting
Backtest crypto strategies without writing code.
Turn a trading idea into explicit entry, exit, and risk rules, then run historical crypto spot backtests with fees, slippage, metrics, and version-linked results in one workspace.
What backtesting users are trying to prove
Can I trust the historical result?
Review the tested symbol, timeframe, date range, fees, slippage, bar-close evaluation, and next-bar execution before reading headline metrics.
Is this version worth deeper review?
Compare return, drawdown, trade behavior, and robustness across saved versions instead of judging one isolated backtest.
What each Traseq backtest keeps explicit
Crypto spot scope
Focus on supported USDT spot pairs and practical timeframes for systematic crypto research.
Fees and slippage
Model assumptions before the run so shorter-timeframe results are not inflated by zero-cost conditions.
Metrics and trade inspection
Read win rate, profit factor, drawdown, charts, trade markers, and condition attribution together.
Version-linked results
Every result points back to the finalized strategy version and settings that produced it.
Professional review order
- 01
Validate the setup: symbol, timeframe, range, fees, slippage, and execution assumptions.
- 02
Screen profitability with profit factor, expectancy, and trade count before trusting win rate.
- 03
Inspect drawdown depth, duration, recovery, and whether losses cluster in one regime.
- 04
Compare variants under the same assumptions, then advance only the version worth deeper research.
Questions to answer before trusting a backtest
No. Traseq is for research without writing code. You can build in Sentence mode or Canvas mode, and start from templates, reusable rule sets, or shared blocks. Traseq does not support free-form custom code today.
Backtests run against a specific finalized strategy version, not a moving draft. The run stores the exact version, symbol, timeframe, range, and execution settings used, so results stay attached to the strategy state that produced them and can be revisited, compared, and reused later.
Traseq evaluates conditions on bar close and executes at the next bar open to avoid look-ahead bias. The UI exposes research-friendly controls such as Workspace, Market Baseline, and Stress Test presets plus fee and slippage settings. It is still a bar-based simulator, not a tick-level or order-book execution engine.
The current product focuses on crypto spot research with 15m, 1h, 4h, and 1d timeframes. The UI exposes major USDT spot pairs across large-cap and high-volume tokens. All plans can use the supported timeframes and select full available history; monthly research credits control total usage.
Run the first version before optimizing the idea.
Use Traseq to build one strategy, lock the version, run the backtest, and inspect the result before spending time on parameter tuning.