.. _data_copilot_fin:

=====================
Finance Data Copilot
=====================


Scen2: 
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📄 Research Report-Based Factor Extraction

Scen2 Intro
~~~~~~~~~~~
In this scenario, factors and hypotheses are extracted from research reports. The process includes:

- **🔍 Factor Extraction**: Extract relevant factors from research reports.
- **📝 Factor Creation**: Define these extracted factors.
- **✅ Factor Validation**: Validate the extracted factors.
- **📈 Backtesting with Qlib**: 

  - **Dataset**: CSI300
  - **Model**: LGBModel
  - **Factors**: Alpha158 +
  - **Data Split**:

    - **Train**: 2008-01-01 to 2014-12-31
    - **Valid**: 2015-01-01 to 2016-12-31
    - **Test**: 2017-01-01 to 2020-08-01
- **🔄 Feedback Analysis**: Analyze backtest results.
- **🔧 Hypothesis Refinement**: Refine hypotheses based on feedback and continue the cycle.

Scen2 Demo
~~~~~~~~~~
.. TODO

Scen2 Quick Start
~~~~~~~~~~~~~~~~~

To quickly start the factor extraction process, run the following command in your terminal within the 'rdagent' virtual environment:

.. code-block:: sh

    python rdagent/app/qlib_rd_loop/factor_from_report_sh.py


Usage of modules
~~~~~~~~~~~~~~~~~
TODO: Show some examples: