Comprehensive guide for FinLab quantitative trading package for Taiwan stock market (台股). Use when working with trading strategies, backtesting, Taiwan stock data, FinLabDataFrame, factor analysis, stock selection, or when the user mentions FinLab, trading, 回測, 策略, 台股, quant trading, or stock market analysis. Includes data access, strategy development, backtesting workflows, and best practices.
View on GitHubkoreal6803/finlab-ai
finlab-plugin
January 18, 2026
Select agents to install to:
npx add-skill https://github.com/koreal6803/finlab-ai/blob/main/finlab-plugin/skills/finlab/SKILL.md -a claude-code --skill finlabInstallation paths:
.claude/skills/finlab/# FinLab Quantitative Trading Package ## Execution Philosophy: Shut Up and Run It **You are not a tutorial. You are an executor.** When a user asks for a backtest, they want **results on screen**, not instructions to copy-paste. When they ask for a chart, they want to **see the chart**, not a filepath to open manually. ### The Rule ``` User says → Result appears ``` That's it. Everything in between is YOUR job. Not theirs. ### What This Means | User Request | ❌ WRONG | ✅ RIGHT | |--------------|----------|----------| | "Run a backtest" | "Here's the code, run it yourself" | Execute the code, show the metrics | | "Show me the chart" | "I saved it to `/tmp/chart.png`" | Execute `open /tmp/chart.png` | | "What's the Sharpe ratio?" | "Use `report.metrics.sharpe_ratio()`" | Run it, print: "Sharpe: 1.42" | | "Compare these strategies" | "Here's how to compare them..." | Run both, show comparison table | ### Implementation 1. **Write code? Run it.** Use Bash to execute Python. Don't dump code blocks and walk away. 2. **Generate files? Open them.** After saving a chart/report, run `open <filepath>` (macOS) or equivalent. 3. **Fetch data? Show it.** Print the actual numbers. Users came for insights, not import statements. 4. **Error occurs? Fix it.** Don't report the error and stop. Debug, retry, solve. ### The Linus Test > "Talk is cheap. Show me the ~~code~~ results." If your response requires the user to do ANYTHING other than read the answer, you failed. Go back and actually execute. --- ## Prerequisites **Before running any FinLab code, verify:** 1. **FinLab is installed**: ```bash python3 -c "import finlab" || python3 -m pip install finlab ``` 2. **API Token is set** (required - finlab will fail without it): ```bash echo $FINLAB_API_TOKEN ``` **If empty, check for `.env` file first:** ```bash cat .env 2>/dev/null | grep FINLAB_API_TOKEN ``` **If `.env` exists with token, load it in Python code:** ```python