diff --git a/pages/bollinger_v1/README.md b/pages/bollinger_v1/README.md
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+# D-Man Maker V2
+
+## Features
+- **Interactive Configuration**: Configure market making parameters such as spreads, amounts, and order levels through an intuitive web interface.
+- **Visual Feedback**: Visualize order spread and amount distributions using dynamic Plotly charts.
+- **Backend Integration**: Save and deploy configurations directly to a backend system for active management and execution.
+
+### Using the Tool
+1. **Configure Parameters**: Use the Streamlit interface to input parameters such as connector type, trading pair, and leverage.
+2. **Set Distributions**: Define distributions for buy and sell orders, including spread and amount, either manually or through predefined distribution types like Geometric or Fibonacci.
+3. **Visualize Orders**: View the configured order distributions on a Plotly graph, which illustrates the relationship between spread and amount.
+4. **Export Configuration**: Once the configuration is set, export it as a YAML file or directly upload it to the Backend API.
+5. **Upload**: Use the "Upload Config to BackendAPI" button to send your configuration to the backend system. Then can be used to deploy a new bot.
+
+## Troubleshooting
+- **UI Not Loading**: Ensure all Python dependencies are installed and that the Streamlit server is running correctly.
+- **API Errors**: Check the console for any error messages that may indicate issues with the backend connection.
+
+For more detailed documentation on the backend API and additional configurations, please refer to the project's documentation or contact the development team.
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diff --git a/pages/pmm_simple/README.md b/pages/pmm_simple/README.md
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+# D-Man Maker V2
+
+## Features
+- **Interactive Configuration**: Configure market making parameters such as spreads, amounts, and order levels through an intuitive web interface.
+- **Visual Feedback**: Visualize order spread and amount distributions using dynamic Plotly charts.
+- **Backend Integration**: Save and deploy configurations directly to a backend system for active management and execution.
+
+### Using the Tool
+1. **Configure Parameters**: Use the Streamlit interface to input parameters such as connector type, trading pair, and leverage.
+2. **Set Distributions**: Define distributions for buy and sell orders, including spread and amount, either manually or through predefined distribution types like Geometric or Fibonacci.
+3. **Visualize Orders**: View the configured order distributions on a Plotly graph, which illustrates the relationship between spread and amount.
+4. **Export Configuration**: Once the configuration is set, export it as a YAML file or directly upload it to the Backend API.
+5. **Upload**: Use the "Upload Config to BackendAPI" button to send your configuration to the backend system. Then can be used to deploy a new bot.
+
+## Troubleshooting
+- **UI Not Loading**: Ensure all Python dependencies are installed and that the Streamlit server is running correctly.
+- **API Errors**: Check the console for any error messages that may indicate issues with the backend connection.
+
+For more detailed documentation on the backend API and additional configurations, please refer to the project's documentation or contact the development team.
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diff --git a/pages/xemm_controller/README.md b/pages/xemm_controller/README.md
new file mode 100644
index 0000000..2fa8d53
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+++ b/pages/xemm_controller/README.md
@@ -0,0 +1,19 @@
+# D-Man Maker V2
+
+## Features
+- **Interactive Configuration**: Configure market making parameters such as spreads, amounts, and order levels through an intuitive web interface.
+- **Visual Feedback**: Visualize order spread and amount distributions using dynamic Plotly charts.
+- **Backend Integration**: Save and deploy configurations directly to a backend system for active management and execution.
+
+### Using the Tool
+1. **Configure Parameters**: Use the Streamlit interface to input parameters such as connector type, trading pair, and leverage.
+2. **Set Distributions**: Define distributions for buy and sell orders, including spread and amount, either manually or through predefined distribution types like Geometric or Fibonacci.
+3. **Visualize Orders**: View the configured order distributions on a Plotly graph, which illustrates the relationship between spread and amount.
+4. **Export Configuration**: Once the configuration is set, export it as a YAML file or directly upload it to the Backend API.
+5. **Upload**: Use the "Upload Config to BackendAPI" button to send your configuration to the backend system. Then can be used to deploy a new bot.
+
+## Troubleshooting
+- **UI Not Loading**: Ensure all Python dependencies are installed and that the Streamlit server is running correctly.
+- **API Errors**: Check the console for any error messages that may indicate issues with the backend connection.
+
+For more detailed documentation on the backend API and additional configurations, please refer to the project's documentation or contact the development team.
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