arena_get_edge_reports
ActiveTool of Backtesting Arena
Platform-wide aggregated analysis: how each Pro+ entry filter (200 WMA, ATR low/high/expansion, Altcoin Season, Bullmarket confirm/strict) affects strategy CAGR — baseline vs. filtered, median across all real backtest runs for a given market. Verdict: helps (Δ>+1pp, ≥30 runs) / neutral / hurts / insufficient_data. Filters evaluated in isolation (no stacking). Also returns baseline_net_cagr / filtered_net_cagr (median CAGR after per-side trading costs; verdict/delta stay gross). [Free tier]
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"required": [
"market",
"context"
],
"properties": {
"market": {
"enum": [
"crypto"
],
"type": "string",
"description": "Asset class to analyze (crypto only)."
},
"context": {
"type": "string",
"description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\""
},
"verdict": {
"enum": [
"helps",
"neutral",
"hurts",
"insufficient_data",
"all"
],
"type": "string",
"description": "Filter by verdict. Default 'all'."
},
"strategy": {
"type": "string",
"description": "Restrict to a single strategy key (e.g. golden_cross). Omit for all strategies."
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
Backtesting Arena
https://github.com/Schoasch/skill-backtesting-arena
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