market-sentiment-tracker

You can quantify A-share market sentiment using multiple quantitative and community indicators to generate a 0-100 sentiment score, identify the current market phase, and receive position suggestions for better investment decisions.

Market phase identification categorizes the current A-share market into one of six distinct phases, such as Despair Icepoint or Buzzing, helping investors gauge potential buy or sell opportunities and adjust their investment strategy accordingly.

To get started with market sentiment scoring, you need Python and data sources from market data APIs like AKShare, along with pandas, numpy, and scikit-learn to process indicators and calculate the 0-100 sentiment score.

Yes, you can use AKShare to fetch market data and scikit-learn to process quantitative and community indicators, enabling you to calculate sentiment scores and identify market phases for A-share investments.

Quantitative market sentiment analysis relies on available data sources like market APIs and community forums, meaning its accuracy is constrained by data quality and it serves as a suggestion tool rather than a guaranteed investment predictor.