diff --git a/rdagent/app/factor_extraction_and_code/factor_extract_and_implement.py b/rdagent/app/factor_extraction_and_code/factor_extract_and_implement.py
index 5ff22944..f1646522 100644
--- a/rdagent/app/factor_extraction_and_code/factor_extract_and_implement.py
+++ b/rdagent/app/factor_extraction_and_code/factor_extract_and_implement.py
@@ -3,7 +3,9 @@ from dotenv import load_dotenv
 
 from rdagent.log import rdagent_logger as logger
 from rdagent.scenarios.qlib.developer.factor_coder import QlibFactorCoSTEER
-from rdagent.scenarios.qlib.experiment.factor_experiment import QlibFactorScenario
+from rdagent.scenarios.qlib.experiment.factor_from_report_experiment import (
+    QlibFactorFromReportScenario,
+)
 from rdagent.scenarios.qlib.factor_experiment_loader.pdf_loader import (
     FactorExperimentLoaderFromPDFfiles,
 )
@@ -12,7 +14,7 @@ assert load_dotenv()
 
 
 def extract_factors_and_implement(report_file_path: str) -> None:
-    scenario = QlibFactorScenario()
+    scenario = QlibFactorFromReportScenario()
 
     with logger.tag("extract_factors_and_implement"):
         with logger.tag("load_factor_tasks"):
@@ -25,4 +27,4 @@ def extract_factors_and_implement(report_file_path: str) -> None:
 
 
 if __name__ == "__main__":
-    extract_factors_and_implement("/home/xuyang1/workspace/report.pdf")
+    extract_factors_and_implement("workspace/report.pdf")
diff --git a/rdagent/app/qlib_rd_loop/conf.py b/rdagent/app/qlib_rd_loop/conf.py
index f0956422..b66206fe 100644
--- a/rdagent/app/qlib_rd_loop/conf.py
+++ b/rdagent/app/qlib_rd_loop/conf.py
@@ -35,11 +35,17 @@ class FactorBasePropSetting(BasePropSetting):
     # 2) sub task specific:
     origin_report_path: str = "data/report_origin"
     local_report_path: str = "data/report"
-    report_result_json_file_path: str = "git_ignore_folder/report_list.json"
+    report_result_json_file_path: str = "git_ignore_folder/report_list_new.json"
     progress_file_path: str = "git_ignore_folder/progress.pkl"
     report_extract_result: str = "git_ignore_folder/hypo_exp_cache.pkl"
     max_factor_per_report: int = 10000
 
 
+class FactorFromReportPropSetting(FactorBasePropSetting):
+    # Override the scen attribute
+    scen: str = "rdagent.scenarios.qlib.experiment.factor_from_report_experiment.QlibFactorFromReportScenario"
+
+
 FACTOR_PROP_SETTING = FactorBasePropSetting()
+FACTOR_FROM_REPORT_PROP_SETTING = FactorFromReportPropSetting()
 MODEL_PROP_SETTING = ModelBasePropSetting()
diff --git a/rdagent/app/qlib_rd_loop/factor_from_report_sh.py b/rdagent/app/qlib_rd_loop/factor_from_report_sh.py
index f8289c52..01014ce2 100644
--- a/rdagent/app/qlib_rd_loop/factor_from_report_sh.py
+++ b/rdagent/app/qlib_rd_loop/factor_from_report_sh.py
@@ -6,7 +6,7 @@ from typing import Any, Tuple
 import fire
 from jinja2 import Environment, StrictUndefined
 
-from rdagent.app.qlib_rd_loop.conf import FACTOR_PROP_SETTING
+from rdagent.app.qlib_rd_loop.conf import FACTOR_FROM_REPORT_PROP_SETTING
 from rdagent.components.document_reader.document_reader import (
     extract_first_page_screenshot_from_pdf,
     load_and_process_pdfs_by_langchain,
@@ -20,9 +20,9 @@ from rdagent.core.scenario import Scenario
 from rdagent.core.utils import import_class
 from rdagent.log import rdagent_logger as logger
 from rdagent.oai.llm_utils import APIBackend
-from rdagent.scenarios.qlib.experiment.factor_experiment import (
-    QlibFactorExperiment,
-    QlibFactorScenario,
+from rdagent.scenarios.qlib.experiment.factor_experiment import QlibFactorExperiment
+from rdagent.scenarios.qlib.experiment.factor_from_report_experiment import (
+    QlibFactorFromReportScenario,
 )
 from rdagent.scenarios.qlib.factor_experiment_loader.pdf_loader import (
     FactorExperimentLoaderFromPDFfiles,
@@ -62,7 +62,7 @@ def generate_hypothesis(factor_result: dict, report_content: str) -> str:
 
 
 def extract_hypothesis_and_exp_from_reports(report_file_path: str) -> Tuple[QlibFactorExperiment, Hypothesis]:
-    scenario = QlibFactorScenario()
+    scenario = QlibFactorFromReportScenario()
 
     with logger.tag("extract_factors_and_implement"):
         with logger.tag("load_factor_tasks"):
@@ -104,7 +104,7 @@ class FactorReportLoop(LoopBase, metaclass=LoopMeta):
         self.summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.summarizer)(scen)
         self.trace = Trace(scen=scen)
 
-        self.judge_pdf_data_items = json.load(open(FACTOR_PROP_SETTING.report_result_json_file_path, "r"))
+        self.judge_pdf_data_items = json.load(open(FACTOR_FROM_REPORT_PROP_SETTING.report_result_json_file_path, "r"))
         self.pdf_file_index = 0
         super().__init__()
 
@@ -120,8 +120,8 @@ class FactorReportLoop(LoopBase, metaclass=LoopMeta):
                 if exp is None:
                     continue
                 exp.based_experiments = [QlibFactorExperiment(sub_tasks=[])] + [t[1] for t in self.trace.hist if t[2]]
-                exp.sub_workspace_list = exp.sub_workspace_list[: FACTOR_PROP_SETTING.max_factor_per_report]
-                exp.sub_tasks = exp.sub_tasks[: FACTOR_PROP_SETTING.max_factor_per_report]
+                exp.sub_workspace_list = exp.sub_workspace_list[: FACTOR_FROM_REPORT_PROP_SETTING.max_factor_per_report]
+                exp.sub_tasks = exp.sub_tasks[: FACTOR_FROM_REPORT_PROP_SETTING.max_factor_per_report]
                 logger.log_object(hypothesis, tag="hypothesis generation")
                 logger.log_object(exp.sub_tasks, tag="experiment generation")
                 return hypothesis, exp
@@ -158,7 +158,7 @@ def main(path=None, step_n=None):
 
     """
     if path is None:
-        model_loop = FactorReportLoop(FACTOR_PROP_SETTING)
+        model_loop = FactorReportLoop(FACTOR_FROM_REPORT_PROP_SETTING)
     else:
         model_loop = FactorReportLoop.load(path)
     model_loop.run(step_n=step_n)
diff --git a/rdagent/scenarios/qlib/experiment/factor_experiment.py b/rdagent/scenarios/qlib/experiment/factor_experiment.py
index f974524a..4587ee9b 100644
--- a/rdagent/scenarios/qlib/experiment/factor_experiment.py
+++ b/rdagent/scenarios/qlib/experiment/factor_experiment.py
@@ -43,7 +43,7 @@ class QlibFactorScenario(Scenario):
     @property
     def rich_style_description(self) -> str:
         return """
-### Qlib Factor Evolving Automatic R&D Demo
+### R&D Agent-Qlib: Automated Quantitative Trading & Iterative Factor Evolution Demo
 
 #### [Overview](#_summary)
 
@@ -55,20 +55,17 @@ The demo showcases the iterative process of hypothesis generation, knowledge con
    - Generate and propose initial hypotheses based on data and domain knowledge.
 
 2. **Factor Creation**
-   - Develop, define, and write new financial factors.
+   - Develop, define, and implement new financial factors.
    - Test these factors to gather empirical results.
 
 3. **Factor Validation**
-   - Validate the newly created factors quantitatively.
+   - Quantitatively validate the newly created factors.
 
 4. **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
+    | **Dataset**      | **Model**   | **Factors**    |
+    |------------------|-------------|----------------|
+    | 📊 CSI300        | 🤖 LGBModel | 🌟 Alpha158 Plus|
+
 
 5. **Feedback Analysis**
    - Analyze backtest results.
@@ -80,12 +77,12 @@ The demo showcases the iterative process of hypothesis generation, knowledge con
 #### [Automated R&D](#_rdloops)
 
 - **[R (Research)](#_research)**
-  - Iteration of ideas and hypotheses.
+  - Iterative development of ideas and hypotheses.
   - Continuous learning and knowledge construction.
 
-- **[D (Development)](#_development)*
-  - Evolving code generation and model refinement.
-  - Automated implementation and testing of financial factors.
+- **[D (Development)](#_development)**
+  - Progressive implementation and code generation of factors.
+  - Automated testing and validation of financial factors.
 
 #### [Objective](#_summary)
 
diff --git a/rdagent/scenarios/qlib/experiment/factor_from_report_experiment.py b/rdagent/scenarios/qlib/experiment/factor_from_report_experiment.py
new file mode 100644
index 00000000..7c63e845
--- /dev/null
+++ b/rdagent/scenarios/qlib/experiment/factor_from_report_experiment.py
@@ -0,0 +1,66 @@
+from pathlib import Path
+
+from rdagent.components.coder.factor_coder.factor import (
+    FactorExperiment,
+    FactorFBWorkspace,
+    FactorTask,
+)
+from rdagent.components.coder.factor_coder.utils import get_data_folder_intro
+from rdagent.core.prompts import Prompts
+from rdagent.core.scenario import Scenario
+from rdagent.scenarios.qlib.experiment.factor_experiment import QlibFactorScenario
+from rdagent.scenarios.qlib.experiment.workspace import QlibFBWorkspace
+
+prompt_dict = Prompts(file_path=Path(__file__).parent / "prompts.yaml")
+
+
+class QlibFactorFromReportScenario(QlibFactorScenario):
+    @property
+    def rich_style_description(self) -> str:
+        return """
+### R&D Agent-Qlib: Automated Quantitative Trading & Factor Extraction from Financial Reports Demo
+
+#### [Overview](#_summary)
+
+This demo showcases the process of extracting factors from financial research reports, implementing these factors, and analyzing their performance through Qlib backtesting, continually expanding and refining the factor library.
+
+#### Key Steps
+
+1. **Hypothesis Generation**
+   - Generate and propose initial hypotheses based on insights from financial reports.
+
+2. **Factor Creation**
+   - Develop, define, and codify new financial factors derived from the reports.
+   - Conduct empirical tests to evaluate these factors.
+
+3. **Factor Validation**
+   - Quantitatively validate the newly created factors.
+
+4. **Backtesting with Qlib**
+    | **Dataset**      | **Model**   | **Factors**    |
+    |------------------|-------------|----------------|
+    | 📊 CSI300        | 🤖 LGBModel | 🌟 Alpha158 Plus|
+
+5. **Feedback Analysis**
+   - Analyze backtest results.
+   - Incorporate feedback to refine and enhance the factor hypotheses.
+
+#### [Automated R&D](#_rdloops)
+
+- **[R (Research)](#_research)**
+  - Iterative development of ideas and hypotheses from financial reports.
+  - Continuous learning and knowledge construction.
+
+- **[D (Development)](#_development)**
+  - Progressive factor extraction and code generation.
+  - Automated implementation and testing of financial factors.
+
+#### [Objective](#_summary)
+
+| Objective         | Description                                                                                             |
+|-------------------|---------------------------------------------------------------------------------------------------------|
+| **Convenience**   | Provide a tool for financial and quantitative practitioners or enthusiasts to quickly extract and test factors from research reports. |
+| **Efficiency**    | Enable rapid identification of factors from a vast number of reports that could enhance the current factor library.                  |
+| **Research Facilitation** | Support further research by continuously expanding and refining the factor library.                                      |
+| **Innovation**    | Foster innovation in financial analysis by leveraging automated R&D processes to iterate and improve financial factors.             |
+        """