akshare-finance

Retrieve real-time and historical cryptocurrency prices using Python by running script invocations that return Pandas DataFrames or JSON. This provides unified access to major crypto market data, including the latest BTC/USDT prices and historical K-lines.

Fetch A-share, HK, and US stock market data for automated analytics by executing ready-to-run Python scripts. The scripts retrieve real-time prices, K-lines, and market snapshots, outputting structured Pandas DataFrames or JSON for immediate integration into analytics workflows.

You can access macroeconomic indicators like GDP, CPI, PMI, and M2 using Python. The provided scripts query macro summary data and return the results as Pandas DataFrames or JSON, removing the need for manual scraping and format conversions.

Yes, you need both akshare and pandas installed to retrieve financial market data. The script invocations rely on these dependencies to query equities, futures, forex, and crypto markets, returning structured Pandas DataFrames or JSON outputs for your analytics pipeline.

The best way to monitor a portfolio of stocks and crypto assets in Python is using scriptable automation to aggregate latest prices and percentage changes. This approach retrieves real-time market snapshots and feeds the results directly into automated alert or reporting pipelines.

Yes, this approach supports retrieving company fundamentals and valuation metrics. It provides programmatic access to a wide range of financial market and macroeconomic data, operating within Python analytics and research workflows to deliver structured data without fragmented API handling.