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report-generation

Generates structured trading performance reports.

Skill by LisonEvf

IndexedMIT★ 2
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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/lisonevf-report-generation

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

Generates structured trading performance reports. Includes performance metrics summary, equity curve, trade-by-trade log, monthly returns heatmap, and comparative benchmark analysis. Trigger when the user wants a summary or report of trading results.

Use cases: documents, finance

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

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/report-generation

What's inside

Skill name
report-generation
Description
Generates structured trading performance reports. Includes performance metrics summary, equity curve, trade-by-trade log, monthly returns heatmap, and comparative benchmark analysis. Trigger when the user wants a summary or report of trading results.
License
MIT
Instructions
33 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Report Generation

Generates comprehensive trading performance reports.

## Real Code Reference

- `tradinglearn/backtest/backtester.py` — `generate_report()` (summary) and `generate_detailed_report()` (full metrics)
- `tradinglearn/utils/parameter_optimizer.py` — `save_optimization_results()` → CSV with all param combos
- `tradinglearn/reports/` — output directory for generated reports

## Report Sections

1. **Executive Summary** — total return, Sharpe, max drawdown, win rate, CAGR
2. **Equity Curve** — portfolio value time series with key event annotations
3. **Trade Log** — each trade: entry/exit dates, prices, P&L, holding period
4. **Monthly Returns** — calendar heatmap
5. **Drawdown Analysis** — top-5 drawdowns: peak, trough, recovery, duration
6. **Benchmark Comparison** — vs. market index (e.g. 000300 CSI 300)

## Output Formats

- **Console**: `bt.generate_detailed_report()` prints formatted text
- **CSV**: trade log + monthly returns for spreadsheets
- **DataFrame**: `bt.get_performance()` / `bt.get_portfolio()` / `bt.get_signals()`

## Trade Log Schema

```
trade_id, symbol, entry_date, exit_date, entry_price, exit_price,
direction, quantity, pnl, pnl_pct, holding_days, exit_reason
```

From LisonEvf/finance-skills, MIT.

More from LisonEvf/finance-skills

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Forks
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Last commit (this folder)
May 15, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/LisonEvf/finance-skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from LisonEvf

Cite this page

report-generation skill. Agent Mart. https://agentmart.dev/skills/lisonevf-report-generation (last updated 2026-10-24)