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FinLab Quantitative Trading Package

porkoreal6803·koreal6803· v1.0.0 · atualizado em 2026-04-10

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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.

finlabtaiwan-stock-marketquantitative-tradingbacktestingstock-analysistrading-strategydata-analysis

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Documento do Skill

SKILL.mdfinlab/workflow

Check Prerequisites: — Verify FinLab is installed and API token is set (using `.env` if available).

Fetch Data: — Retrieve necessary stock data (price, volume, financial statements, etc.) using `data.get()`.

Create Conditions: — Define trading conditions based on factors like moving averages, ranking, and industry performance.

Construct Position DataFrame: — Combine conditions to create a DataFrame representing stock positions.

Backtest Strategy: — Use `sim()` to backtest the strategy with specified parameters (resample, risk management).

Analyze Results: — Calculate and display key performance metrics (annual return, Sharpe ratio, max drawdown).

Handle Quota: — If quota exceeded, inform user about limits, reset time, and upgrade options.

Telemetria de Agentes

Execuções

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

avg 0/exec

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Árvore do Skill

FinLab Quantitative Trading Package

finlab

Fases Cognitivas7

1.SENSE

2.CONTEXTUALIZE

3.HYPOTHESIZE

4.EVALUATE

5.RECOMMEND

6.ACT

7.REFLECT

Triggers10

run a backtest with FinLabanalyze Taiwan stock data using FinLabcreate a trading strategy with FinLabshow me the Sharpe ratio of my FinLab backtestcompare these trading strategies using FinLabuse FinLab to select stocksbacktest a strategy on 台股 with FinLabanalyze 回測 results with FinLabdevelop a 策略 using FinLabget stock market data for 台股 using FinLab

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Score Breakdown

⭐Avaliação Humana0%

🤖Sucesso de Agentes0%

🕐Atualidade100%

🔗Saúde de Dependências100%

🕸️Centralidade no Grafo0%

🛡️Segurança50%

CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download finlab

$ synaptic skills detail finlab

$ synaptic skills live finlab

Dependências

finlab python-dotenv

Links

GitHub Repository