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algo-trading-ml

Staff-level algorithmic trading strategy research, ML signal development, backtesting, and performance evaluation for futures (MNQ, MES, MGC).

Skill by WayneBanksy

IndexedLicense unknown
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/waynebanksy-algo-trading-ml

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: data, ml, research, finance

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/algo-trading-ml

What's inside

Skill name
algo-trading-ml
Description
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.
License
unknown
Instructions
265 lines in SKILL.md · view on GitHub

Files (4)

  • SKILL.md
  • evals.json · evals/
  • primary-stack.md · references/
  • topstep-constraints.md · references/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from WayneBanksy/wayneys_claude

Signals

Stars
0
Forks
1
Open issues
0
Last commit (this folder)
Jul 4, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/WayneBanksy/wayneys_claude
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

algo-trading-ml skill. Agent Mart. https://agentmart.dev/skills/waynebanksy-algo-trading-ml (last updated 2026-10-24)