market-sentiment-analyzer

To calculate a market sentiment score, you can blend VIX, SPY RSI, MA signals, Put/Call ratio, and CNN Fear & Greed proxy into a single 0-100 composite index. This approach converts multiple indicators into a stable score for investment protocols and dashboards.

The best way to aggregate CNN Fear & Greed data with yfinance tickers is to use a Python script leveraging pandas, numpy, and requests. This setup fetches market signals and computes a unified 0-100 sentiment score for US-equity analysis.

Yes, you can fetch per-ticker sentiment signals using the --ticker option. This enriches market-level signals with insider stats, MSPR, and short interest data when appropriate API keys are provided to the script.

To avoid repeated network requests when computing VIX and Put/Call ratio signals, cache the results locally. The script caches data to a JSON file with a 900-second TTL, ensuring network calls are minimized during analysis.

Yes, you need pandas and numpy along with requests and yfinance to compute a composite market sentiment index. These Python libraries handle data aggregation, mathematical calculations, and API fetching for the 0-100 score.