Finlabv0.1.1

Users can create strategies that identify stocks with sustained upward price momentum over the past 10 days, combined with high liquidity and low valuation metrics like P/B ratio. This is ideal for short-term traders looking to capitalize on trending stocks while managing risk through fundamental filters.

This scenario involves selecting undervalued stocks within specific industries by ranking metrics such as ROE or P/E ratios. Users can filter by market segments like semiconductors or cement industries to focus on sectors with strong fundamentals and growth potential.

Traders can monitor institutional investor activities, such as foreign buying and selling trends, to gauge market sentiment. By combining this with technical indicators like RSI or MACD, users can develop strategies that align with large-scale money movements for enhanced timing.

Users can implement strategies that rotate holdings based on sector performance, using data on monthly revenue and fundamental features. This helps in capitalizing on cyclical trends and optimizing portfolio allocation across different industries over time.

This scenario focuses on creating precise entry and exit signals using moving averages and hold conditions. Traders can limit the number of stocks held and rank them by factors like negative P/B to manage drawdowns and improve risk-adjusted returns.

FinLab offers tiered API tokens with daily data limits, where free users get 500 MB and VIP users receive 5000 MB. This model generates recurring revenue from quantitative traders and institutions needing high-volume, real-time stock data for backtesting and live strategies.

The package provides a comprehensive platform for strategy development, backtesting, and factor analysis, appealing to hedge funds and individual quants. Revenue comes from licensing fees or premium features, such as advanced analytics and custom data integrations.

FinLab can monetize through training programs, workshops, and consulting on quantitative trading best practices. This targets beginners and intermediate users seeking to improve their skills in data analysis, backtesting workflows, and strategy optimization.