A practical question about using Claude for price forecasting
A price project is using several kinds of past data to predict one target price. The main question is which is best for this kind of work.
There is also a practical choice to make: use Claude to produce the forecasts directly, or use Claude to write code for a proper model. The deeper issue is where an LLM is actually useful and where a normal model is the better tool.
Key points
- The project uses historical input data to predict a target price.
- The choice is about which to use for work.
- One option is to ask Claude for forecasts directly.
- Another option is to use Claude to write code for a separate model.
- The core question is where an LLM helps versus where a normal model is needed.