Custom Built Autonomous/Continuous AI Agent
Budget: $30 – $250 USD
I already have a ChatGPT Pro subscription and paid data feeds for various equity markets and company financials; 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.
• 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.