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Skill: Statistical Alpha Engine (2.2) — measured AI agent skill | DecimalAI

olaxbt/skill-statistical-alpha-engine-22

NewSkillScoreMaintained

- `analyze(ticker, market_data)` → Tier-0 contract with cross-sectional ranking

financeby olaxbt

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Finance & Accounting pack

decimalai skills pull olaxbt-skill-statistical-alpha-engine-22

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/olaxbt-skill-statistical-alpha-engine-22/SKILL.md

Raw file: /s/olaxbt-skill-statistical-alpha-engine-22/SKILL.md ↗ · machine-readable summary at /s/olaxbt-skill-statistical-alpha-engine-22.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

—-55% tokens0% turns91% of whole cases pass with skill (20/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-12	✗→✓	▲ Improved	-68%	0%
case-03	✗→✓	▲ Improved	-37%	0%
case-04	✗→✓	▲ Improved	-86%	0%
case-05	✗→✓	▲ Improved	-75%	0%
case-06	✗→✓	▲ Improved	-76%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

olaxbt / ai-market-maker

src/agents/operator/2.2_statistical_alpha_engine/SKILL.md

View on GitHub ↗

License AGPL-3.0Imported 8/3/2026Version v1

Skill contents

SKILL.md

Skill: Statistical Alpha Engine (2.2)

Capabilities

analyze(ticker, market_data) → Tier-0 contract with cross-sectional ranking
Direct query: "How does BTC rank in the universe?"
Direct query: "What's the cross-sectional z-score of ETH?"

Data Sources

Universe-wide OHLCV (all tracked symbols)
Factor model cache (momentum, value, volatility, on-chain)

Query Interface

/statistical_alpha_engine?ticker=BTC/USDT

Returns: cross-sectional rank + z-score + alpha signal + factor confluence.

Dependencies

Universe config from src/config/default_universe.py
Factor computation pipeline (statistical methods)

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Other measured skills in the registry, with their headline benchmark lift.