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Staff-level algorithmic trading strategy research, ML signal development, backtesting, and performance evaluation for futures (MNQ, MES, MGC). Use when working on trading strategies, backtesting, technical indicators (VWAP, EMA, RSI, MACD, ATR, Bollinger Bands), ML signals (XGBoost, LightGBM), signal research, alpha factors, regime detection, position sizing, or risk metrics (Sharpe, Sortino, max drawdown, win rate). Triggers on: pandas-ta, TA-Lib, VectorBT, Backtrader, QuantStats, PyPortfolioOpt, Topstep, prop firm, combine, momentum, mean reversion, trend following, stat arb, walk-forward validation, feature engineering for trading, OHLCV data, or Jupyter notebooks with price/return series. TRIGGER when: code imports pandas_ta, vectorbt, backtrader, quantstats, pyportfolioopt, or files contain OHLCV columns. DO NOT TRIGGER for: live execution, Tradovate WebSocket, order management, kill switches (defer to automated-trading-systems), or general ML/data engineering without trading context.
Claude Skills are markdown + scripts loaded into Claude Code; scanned with the same pipeline.
We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.
Claude Skills install to a single target, no runtime picker.
nerlo install -- 'waynebanksy/wayneys_claude (algo-trading-ml)'
Manual alternative: copy the skill folder into ~/.claude/skills/ so Claude Code loads it on next launch.
cp -r -- 'waynebanksy/wayneys_claude (algo-trading-ml)' ~/.claude/skills/
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
4 of 11 scanners examined this package. The rest do not apply to it — language, ecosystem and packaging decide which analyzers can say anything, and a scanner that cannot examine an artifact reports nothing rather than passing it.
v2.0.11
35 findings · 9.5s
v0.3.74
8 findings · 1.4s
v0.1.0
0 findings · 3.5s
v0.1.0
1 finding · 3.5s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.2s
vv0.3.2
No Go packages were found in this artifact. What each scanner covers
0 findings · 0.1s
v0.71.0
No dependency manifest or lockfile was found in this artifact. What each scanner covers
0 findings · 0.2s
v2.3.8
No dependency manifest or lockfile was found in this artifact. What each scanner covers
0 findings · 0.2s
v0.71.0
No container image was published for this artifact. What each scanner covers
0 findings · 0.0s
vv1.6.0
No Go modules were found in this artifact. What each scanner covers
0 findings · 0.1s
No report in this scan: nerlo-multi-source.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 16, 2026 | Flagged76 | — | agentshield ·n/a: not applicablecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicabletrivy ·n/a: not applicableosv-scanner ·n/a: not applicabletrivy_image ·n/a: not applicablegovulncheck ·n/a: not applicable | completed |
Findings in files this artifact installs stand as reported; a model re-read the rest and said which ones it believes are false positives. This is a second opinion published beside the evidence, not a correction to it: the per-scanner reports above are unchanged, every dismissed finding is still listed there at its original severity, and the score and the Flagged badge are computed from those raw severities alone. Nothing below moved them.
This review has not run for this scan yet. It runs once per scan, in the background, and is kept; it appears here when it has. Until then all 44 findings above stand exactly as their scanners reported them, at full severity.