update README.md

README.md

@@ -1,6 +1,6 @@
 # Hummingbot Dashboard
 
-Hummingbot Dashboard is an open-source application designed to assist in the creation, backtesting, and optimization of a wide variety of algorithmic trading strategies. Once refined, these strategies can be deployed as [Hummingbot](https://github.com/hummingbot/hummingbot) instances in either paper trading or live trading modes, providing a seamless transition from strategy formulation to actual trading execution.
+Hummingbot Dashboard is an open-source application designed to assist in the creation, backtesting, and optimization of a wide variety of algorithmic trading strategies. Once refined, these strategies can be deployed as [Hummingbot](https://github.com/hummingbot/hummingbot) instances in live trading modes, providing a seamless transition from strategy formulation to actual trading execution.
 
 ## Features
 
@@ -8,29 +8,17 @@ Hummingbot Dashboard is an open-source application designed to assist in the cre
 - **Strategy Backtesting and Optimization**: Evaluate the performance of your strategies against historical data and optimize them with Optuna
 - **One-Click Deployment**: Seamlessly deploy your strategies as Hummingbot instances for paper or live trading.
 - **Performance Analysis Monitoring**: Monitor and analyze the performance of your deployed strategies.
-- **Secure Credentials**: Restrict access to whitelisted users
+- **Credential Management**: Create and manage separate accounts for API keys
   
-## Tutorial
-
-Get a comprehensive understanding of Hummingbot Dashboard by exploring our introductory video playlist. These videos will guide you through the various features and functionalities:
-
-1. [Introduction to Dashboard](https://www.youtube.com/watch?v=a-kenMqRB00&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=1)
-2. [Setting up the Environment](https://www.youtube.com/watch?v=AbezIhb6iJg&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=2)
-3. [Managing Credentials](https://www.youtube.com/watch?v=VmlD_WQVe4M&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=3)
-4. [Using the Master Bot Profile](https://www.youtube.com/watch?v=MPQTnlDXPno&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=4)
-5. [Deploying Bots and Running Strategies](https://www.youtube.com/watch?v=915E-C2LWdg&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=5)
-6. Analyzing Strategy Performance (coming soon)
-7. [Controllers, Backtesting, and Optimization](https://www.youtube.com/watch?v=bAi2ok7_boo&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=6)
-8. [Deploying Best Strategies from Backtests](https://www.youtube.com/watch?v=BJf3ml-9JIQ&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=7)
-9. [Conclusions and Next Steps](https://www.youtube.com/watch?v=ug_SSZb2HYE&list=PLDwlNkL_4MMf0Ifvj-HLuQ_Jtf7OV6uzW&index=8)
-
 ## Documentation
 
 For detailed instructions and further information, visit our [documentation page](https://hummingbot.org/dashboard/).
 
 ## Installation
 
-Currently, Dashboard should be installed from source via the process below. In the future, we aim to support a simpler,Docker-based installation process as well.
+Currently, we recommend users to install Dashboard using the **[Deploy repo](https://github.com/hummingbot/deploy)** instead as this will automatically launch Dashboard along with the needed components in their own Docker containers. 
+
+If you are a developer, and want to make changes to the code then we recommend using the Source installation below - please note that you will also need to launch the Backend API and Broker separately (either through source install or through Docker).   
 
 1. **Install Dependencies**:
    - Docker Engine
@@ -44,7 +32,7 @@ Currently, Dashboard should be installed from source via the process below. In t
 
 3. **Create Conda Environment and Install Dependencies**:
     ```bash
-    make env_create
+    make install
     ```
 
 4. **Activate the Isolated 'conda' Environment**:
@@ -54,7 +42,7 @@ Currently, Dashboard should be installed from source via the process below. In t
 
 5. **Start the Dashboard**:
     ```bash
-    streamlit run main.py
+    make run
     ```
 
 For more detailed instructions on how to install and update the dashboard, refer to [INSTALLATION.md](INSTALLATION.md).