backtest_condition
shallowapp.traderspy/traderspy · Verify this server
What happened AFTER a condition in the past, on one symbol and timeframe — "how did BTC do after RSI dropped below 30 on 4h", "is a golden cross on ETH daily actually bullish", "what usually follows a −5% day on SOL". Runs an event study over the whole stored tape (up to 1000 candles: ~41 days on 1h, ~166 days on 4h, ~3 years on 1d): occurrences, average / median forward return, win rate, average best and worst excursion per horizon, the unconditional baseline over the same tape and the EDGE the condition adds over it, the last five episodes, and whether the condition is active on the latest bar. Same condition vocabulary as screen_symbols. Quote the edge and the sample size together — a 3-sample stat is an anecdote.
1 trials · measured 27 days ago
backtest_condition scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against app.traderspy/traderspy, measured 11 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Category
- Finance & compliance
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-11 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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