financial-data-collector

You can automate financial data collection by running a Python script that uses the yfinance library to fetch real-time market data, historical financials, and analyst estimates. The tool performs data validation and outputs structured JSON files for consumption.

Yes, you can collect historical financials and analyst estimates using yfinance and pandas. The script gathers WACC inputs, market data, and analyst estimates, performing data validation to ensure accuracy before providing structured JSON output.

To get structured JSON output from a specific stock ticker, execute the collection script with the ticker symbol and desired historical years. For example, running the script with 'AAPL' and a five-year parameter retrieves and processes the requested financial data.

The best way to gather WACC inputs and market data for financial analysis is using an automated collection script that fetches real-time data via yfinance. It structures the retrieved market data, historical financials, and estimates into validated JSON files.

Yes, this financial data collection method supports automated validation. The script operates using the yfinance library to fetch real-time data and automatically performs data validation during the collection process to ensure the accuracy of the structured output.

The primary limitation of using yfinance for real-time financial data collection is that it is restricted to US publicly traded companies. The script automates data gathering and validation but cannot retrieve financials for private companies or non-US markets.