I already have a ChatGPT Pro subscription and paid data feeds; what I’m missing is the glue that turns those resources into a hands-off analytics engine. I’m looking for a lean but functional prototype that: • Collects live information from my chosen sources—Market data APIs, social-media feeds, and news websites—on a scheduled loop. • Pipes the data through LangChain (or a comparable framework) to run predictive analysis, sentiment analysis, and trend analysis. • Stores results in a simple, query-friendly format (CSV, SQLite, or another lightweight option you recommend). • Is built in a modular way so I can later swap in new data sources, enlarge the dataset, or upgrade individual components without rewriting the whole stack. Key expectations – Python preferred; open-source libraries wherever possible. – Clear installation steps and a short README so I can reproduce the pipeline on my own machine. – Comments in the code that show where to plug in additional APIs or scheduling logic for higher-volume processing later. Deliverable: working script(s) plus brief documentation that demonstrates the end-to-end flow from data pull to analytics output, ready for me to test with my existing credentials.