fba-finance added to PyPI

fba-finance's addition to PyPI with its multi-source financial data library and anti-rate-limiting strategies marks a significant development in the field of financial data analysis. This means that website owners who rely on financial data to inform their content or business decisions can now leverage the fba-finance library to access a wide range of financial data sources, potentially reducing their reliance on single sources and mitigating the risks associated with rate limiting. This can be particularly beneficial for websites that provide financial news, analysis, or insights, as they can now access more comprehensive and diverse data sets. To take advantage of this development, website owners can consider the following actionable tips: first, review their current financial data sources and assess whether integrating fba-finance can enhance their data quality and reduce rate limiting issues; second, explore how fba-finance can be used in conjunction with AI bot tracking tools to monitor and optimize financial data-driven content; and third, update their llms.txt files to ensure that AI bots utilizing fba-finance are properly tracked and managed, preventing potential issues with data scraping or misuse.