More than a no-code backtester.
Draft without code, inspect why trades happened, stress a result with Monte Carlo, export what you need, and keep every run tied to the exact version that produced it.
From idea to evidence in one workflow
Define the Rule
Turn an idea into testable logic in seconds.
Define the Rule
Define the Rule
Drag conditions here
Drag conditions here
Build the logic and inspect the evidence
No-code authoring that stays structurally consistent
Sentence mode and Canvas mode lead into the same canonical strategy graph, so validation and backtesting stay aligned.
- Sentence or Canvas mode
- Canonical signal graph
Trade inspection with context, not just a result row
Entry and exit attribution, fill timelines, and chart focus help explain what the strategy actually did inside the run.
- Condition attribution
- Fill timeline and chart focus
Robustness views before you over-trust one run
Monte Carlo, distribution views, and time-sliced breakdowns make it easier to challenge a result before treating it as durable.
- Monte Carlo trade-order analysis
- Distribution and period breakdowns
Keep the result portable and reviewable
Results that stay tied to the exact version
Finalized versions, saved config, and provenance fields keep the trail reconstructable when the review comes later.
- Finalized version linkage
- Saved config and provenance
Portable outputs with explicit Pine fidelity
Positions and metrics can leave as CSV or JSON, and Pine export reports whether the result is exact, compatible, or rejected in strict mode.
- CSV and JSON exports
- Pine compatible and exact-only modes
Questions that matter before you trust a research result
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.
Keep the next review grounded in evidence.
Use Traseq to draft a strategy, inspect the trades it produced, challenge the result with robustness analytics, and export the artifacts that matter.