Haoran Pan

Hi, Thank you for your interest! You can refer to the demo link on our project's homepage, which showcases examples of RD-Agent in the financial domain. Our RD-Agent can generate...

Hi, Thanks for your suggestion. We will consider incorporating it into our future plans. If you're interested in contributing to this feature, we would also be happy to provide guidance...

Intended for generality, the prompts do not target specific factor codes. However, if you indeed wish to provide specific code hints, this can be achieved. You can try edit prompts...

Hi @AK391👋, Thanks for the suggestion! While it's not on our immediate roadmap, we'd welcome contributions if anyone in the community wants to discuss ideas here or submit a PR....

Hi, You could firstly check if you've chosen the correct base image in your Dockerfile to support GPU functionality. The Dockerfile can be found at `rdagent/scenarios/qlib/docker`.

We support use deepseek via LiteLLM backend, docs will be updated soon. #703

Hi, Thanks for your feedback. The design of RD-Agent does indeed support running with a local environment, as configured in `rdagent/utils/env.py`. However, this feature is not fully supported at the...

Some LLM models are more prone to generating responses that do not fully adhere to the prompt requirements, leading to errors. We are attempting to make improvements in the following...

This issue is likely due to an unexpected response from the LLM in the earlier stage, such as not answering in the required format, which led to errors in subsequent...