Buffet v2.1

Buffet is part of a sophisticated Trading AI trained to perform and outperform human traders. Buffet V2 is an advanced trading algorithm that derives, tests, and optimizes trading strategies. It can perform paper trading or live trading on actual accounts, utilizing different optimizations to find the best parameters for trading. In this version we are focused on rebuilding the software architecture and letting Buffet run on a paper trading brokerage.

Table of Contents

• Installation
• Usage
• Process Management
• Project Structure
• Features
• Contributing
• License

Installation

1. Clone the repository:

   git clone https://github.com/KenSu2003/Buffet.git
   cd Buffet
   git checkout branchForV2

2. Install the required dependencies:

   pip install -r requirements.txt

3. If the installation does not work follow these steps:

   < Install TA-Lib >
   pip install numpy==1.26.4
   brew install ta-lib
   pip install TA-Lib
   
   < Install Bayesian Optimization >
   pip install bayesian-optimization
   
   < Install Alapaca API >
   pip install alpaca-py
   
   < Install Other Tools >
   pip install pandas
   pip install matplotlib
   pip install apscheduler

PI USERS: Refer to the TA-Lib Installation Guide for detailed instructions on resolving any issues related to the TA-Lib C library or Python wrapper installation.

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Usage

1. Set the Correct Parameters:
   Ensure you’ve correctly configured key parameters like timeframes, thresholds, and risk limits in paper_trading.py.

2. Switch or Write a New Strategy:

   • Pick or write a strategy in strategies.py.
   • Modify the strategy variable in paper_trading.py to select the appropriate strategy.

3. Modify Optimizers (If Needed):

   • Edit or switch optimizers in the optimizers.py file.
   • Update the corresponding optimizer reference in paper_trading.py.

4. Run paper_trading.py:
   Execute the paper_trading.py script to start paper trading with the selected strategy and parameters.

   python Buffet/Code/paper_trading.py

5. Run the Shell File:
   Use the provided automated_testing.sh to automate the execution of paper_trading.py with background logging.

   ./Buffet/automated_testing.sh

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Process Management

How to Find and Kill the Running Processes

1. Find the process ID (PID):
   To identify the process running the paper_trading.py script, use one of the following commands:

   • Using ps and grep:

     ps aux | grep paper_trading.py

     This will display a list of matching processes, showing their PIDs in the second column.

   • Using pgrep:

     pgrep -f paper_trading.py

     This command will return the PID(s) directly.

2. Kill the process:
   To terminate the process, use the kill command:

   kill PID

   For example:

   kill 12345

3. Force kill (if necessary):
   If the process does not terminate with the standard kill command, use the -9 option to force termination:

   kill -9 PID

   For example:

   kill -9 12345

4. Verify the process has been terminated:
   Check that the process is no longer running:

   ps aux | grep paper_trading.py

   If no process appears, the termination was successful.

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Project Structure

Outdated

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Features

• Technical Indicators: Utilizes various technical indicators to predict market movements.
• Simulated Trading: Allows for backtesting and strategy optimization in a simulated environment.
• Risk Management: Includes modules for setting take-profit and stop-loss levels to manage risk.
• Paper Trading: Capable of executing trades in a paper trading environment.

Contributing

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.