lithium-supply-demand-gap-radar

You can analyze lithium supply and demand balance by integrating market data, generating three demand scenarios, calculating a balance index, and producing ETF exposure reports with traceable validation rules.

A lithium price regime reflects current market price dynamics. This analysis calculates rolling-beta transmission to measure how price regimes impact ETF exposure, guiding investment and risk decisions.

Run a full analysis by executing the pipeline script with parameters like ticker, lookback period, and frequency, such as using a 10-year weekly lookback on the LIT ETF to generate markdown or JSON reports.

Yes, the pipeline integrates supply data, demand proxies, and ETF holdings using pandas and yfinance to model three distinct demand scenarios and output a decision-ready balance index.

Yes, the pipeline produces visual dashboards using plotly and matplotlib, alongside markdown or JSON reports that trace data provenance and validation rules for investment decisions.

Using selenium for data ingestion may encounter dynamic web page rendering delays and require ongoing webdriver management to extract supply and demand proxy data reliably for the analysis pipeline.