Files
NexQuant/rdagent/app/qlib_rd_loop/prompts.yaml
T
Yuante Li d6ce70b551 feat: add RD-Agent-Quant scenario (#838)
* fix model input shape bug and costeer_model bug

* fix a bug

* fix a bug in docker result extraction

* a system-level optimization

* add a filter of stdout

* update

* add stdout to model

* model training_hyperparameters update

* quant scenario

* update some quant settings

* llm choose action

* Thompson Sampling Bandit for action choosing

* refine both scens

* add trace messages for quant scen

* fix some bugs

* fix some bugs

* update

* update

* update

* fix

* fix

* fix

* update for merge

* fix ci

* fix some bugs

* fix ci

* fix ci

* fix ci

* fix ci

* refactor

* default qlib4rdagent local env downloading

* fix ci

* fix ci

* fix a bug

* fix ci

* fix: align all prompts on template (#908)

* use template to render all prompts

* fix CI

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Co-authored-by: Xu Yang <xuyang1@microsoft.com>

* add fin_quant in cli

* fix a bug

* fix ci

* fix some bugs

* refactor

* remove the columns in hypothesis if no value generated in this column

* fix a bug

* fix ci

* fix conda env

* add qlib gitignore

* remove existed qlib folder & install torch in qlib conda

* fix workspace ui in feedback

* align model config in coder and runner in docker or conda

* fix CI

* fix CI

---------

Co-authored-by: Xu Yang <peteryang@vip.qq.com>
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
2025-05-29 16:16:51 +08:00

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YAML

hypothesis_generation:
system: |-
You are an expert in financial analysis. Your task is to generate a well-reasoned hypothesis based on the provided financial factors and report content.
Please ensure your response is in JSON format as shown below:
{
"hypothesis": "A clear and concise hypothesis based on the provided information.",
"reason": "A detailed explanation supporting the generated hypothesis.",
}
user: |-
The following are the financial factors and their descriptions:
{{ factor_descriptions }}
The report content is as follows:
{{ report_content }}