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finlab-ai

Quantitative stock strategy backtesting, factor analysis, and live trading

Builds and backtests quantitative stock trading strategies across Taiwan, US, and other global markets using the FinLab framework. Fetches 900+ financial data columns, ranks factors, and runs realistic simulations with fees, stop-losses, and rebalancing rules. Eliminates manual spreadsheet analysis and lookahead bias errors with tested code patterns and 60+ ready strategy examples. Connects winning strategies directly to broker accounts for automated live order execution.
npx skills add koreal6803/finlab-ai --all -g -y
Available:

Instructs your AI agent to maintain and execute the FinLab trading skill with strict quality rules, requiring all strategy code examples to run correctly and documentation to stay precise and non-redundant.

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Frequently Asked Questions

FAQPage Schema
How to install finlab-ai?โ–ผ

Run `npx skills add koreal6803/finlab-ai --all -g -y` in your terminal to install the skill globally for your AI coding assistant.

What can I do with FinLab AI?โ–ผ

You can fetch stock market data, build factor-based stock selection strategies, backtest them with realistic fees and stop-losses, and analyze results like CAGR, Sharpe ratio, and max drawdown.

Which stock markets does FinLab support?โ–ผ

It supports Taiwan (default), US, Korea, Japan, and Hong Kong markets, including US ETFs and sector rotation strategies. You switch markets with a single data.set_market() call.

Can FinLab place real trades with my broker?โ–ผ

Yes. The OrderExecutor converts backtested positions into live orders through supported broker accounts like Sinopac, with a preview mode before executing.

Do I need coding experience to use FinLab AI?โ–ผ

No. Once installed, your AI assistant writes and runs the Python strategy code for you based on plain-English requests, then shows you the backtest results directly.

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