Cryptyx Multi-Factor Z-Score Composite Backtest

x402

Cryptyx Multi-Factor Z-Score Composite Backtest is a paid API for AI agents from www.cryptyx.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).

Backtests 2-4 metric conditions chained with AND logic, returning hit rate, mean forward return, and sample count for confluence trading strategies.

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

Output

A JSON object with hit_rate (fraction of triggers that met the forward return threshold), n_triggers (number of historical instances all conditions fired simultaneously), and mean_fwd_return (average forward return following triggers). Useful for evaluating whether the confluence strategy has a statistically meaningful edge before live deployment.

Example use cases

Example prompt

“Run a composite backtest on SOL where trend rank is bullish AND volume is compressing AND order book depth is rising — I want to see the hit rate and mean forward return for that confluence.”

Technical details

Endpoint

POSThttps://www.cryptyx.ai/api/metrics/slicer/composite

When to prefer

Use this endpoint when you want to validate a multi-signal confluence strategy — specifically when you need to know whether AND-ing together 2-4 z-score metric conditions (e.g. trend + volume + order book) produces a meaningfully higher hit rate than any single signal alone. Prefer this over the single-metric backtest endpoint when testing confluence hypotheses. Use before live deployment to screen strategies for statistical viability.

Side effects

Fewer than 2 or more than 4 conditions provided — validation error
Asset symbol not recognized or not in the ~200-asset universe — 404 or empty result
Conditions too restrictive resulting in n_triggers too low for statistical significance
Malformed condition objects in the array — 400 bad request
Insufficient historical data for the specified asset and condition combination

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "application/json",
  "example": {
    "hit_rate": 0.67,
    "n_triggers": 48,
    "mean_fwd_return": 0.052
  }
}

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Technical details

Endpoint

POSThttps://www.cryptyx.ai/api/metrics/slicer/composite

When to prefer

Side effects

Fewer than 2 or more than 4 conditions provided — validation error
Asset symbol not recognized or not in the ~200-asset universe — 404 or empty result
Conditions too restrictive resulting in n_triggers too low for statistical significance
Malformed condition objects in the array — 400 bad request
Insufficient historical data for the specified asset and condition combination

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "application/json",
  "example": {
    "hit_rate": 0.67,
    "n_triggers": 48,
    "mean_fwd_return": 0.052
  }
}