القائمة
Analyzes algorithmic trading backtest results from Jupyter notebooks and generates summary reports. Use when the user wants to analyze or summarize backtest notebooks.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use when building, backtesting, or deploying algorithmic trading systems with NautilusTrader (nautilus_trader) — writing Strategy/Actor classes and StrategyConfig, configuring BacktestNode/BacktestEngine, constructing instruments, order management, ParquetDataCatalog/wranglers, message bus and custom data streams, indicators, portfolio/analysis/report generation, or live TradingNode deployment. Curated for v1.230.0.
Inspect and extend Hermes Agent TUI capabilities, launch flags, hotkeys, composer input, and terminal behavior.
Use when modifying a multi-host Nix flake or dotfiles repo, especially host-specific inputs, overlays, lockfile scope, and evaluation checks.
GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.
Class-level Linux debugging workflow for authentication/PAM lockouts, desktop hardware/device stacks, and RAM/swap/CPU/process resource pressure.
Inspect installed Claude Code internals and official plugin recreations to locate prompts, output styles, built-in strings, and migration hooks.
| name | analyzing-backtests |
| description | Analyzes algorithmic trading backtest results from Jupyter notebooks and generates summary reports. Use when the user wants to analyze or summarize backtest notebooks. |
| allowed-tools | Read, Bash, Glob, Grep |
Analyze a Jupyter notebook containing algorithmic trading backtest results and generate a comprehensive summary report.
Version Control Information
git status to check current stategit log -1 --format="%H %ci" for latest commit hash and dateRead the Notebook
Extract Key Information
Model/Strategy Details:
Date Coverage:
Performance Metrics:
Generate Report
Output a structured markdown report:
# Backtest Analysis Report
**Notebook:** [filename]
**Generated:** [date]
**Git Commit:** [hash] ([date])
**Uncommitted Changes:** [yes/no]
## Strategy
[Name and brief description]
**Configuration:**
- [Key parameters]
## Period
- **Dates:** [start] to [end] ([duration])
## Performance
| Metric | Value | Benchmark |
|--------|-------|-----------|
| Total Return | X% | X% |
| Annualized Return | X% | X% |
| Max Drawdown | X% | X% |
| Sharpe Ratio | X.XX | X.XX |
| Win Rate | X% | - |
| Total Trades | X | - |
## Risk Metrics
| Metric | Value |
|--------|-------|
| Volatility | X% |
| Alpha | X% |
| Beta | X.XX |
## Key Findings
- [Notable observations]
- [Strengths and weaknesses]
## Concerns/Recommendations
- [Any issues or suggestions]