Sheekovic / 1XBetCrash-Prediction

This is a Telegram bot that predicts the next 10 values of the 'Multiplier' column in the '1XBetCrash.csv' dataset using multiple regression models.
MIT License
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πŸš€πŸš€ 1XBetCrash Prediction Bot

This is a Telegram bot that predicts the next 10 values of the 'Multiplier' column in the 1XBetCrash.csv dataset using multiple regression models.

πŸ“‹ Table of Contents

Installation

βœ…Step 1: Set Up Docker and Remote WSL

To run this project, you will use Docker and Remote WSL. Follow these steps to set up your environment:

  1. βœ… Install Docker:

2.βœ… Enable WSL 2:

3.βœ… Configure Docker to Use WSL 2:

4.βœ… Install VS Code and Remote WSL Extension:

βœ… Step 2: Install Python in WSL

Open your WSL terminal and run the following commands to install Python and the necessary libraries:

1.βœ… Update package list:

sudo apt-get update

2.βœ… Install Python 3.6 and pip:

sudo apt-get install python3-pip
pip3 install --upgrade pip

3.βœ… Install required libraries:

pip install pandas scikit-learn telebot

βœ… Step 3: Clone the Repository

If you haven't already, clone your project repository:

git clone https://github.com/aa-sikkkk/FortuneTeller.git

βœ… Step 4: Create and Configure the Telegram Bot

1.Open Telegram and search for @BotFather. 2.Start a chat with @BotFather and use the /start command. 3.Use the /newbot command to create a new bot. 4.Follow the prompts to set the bot's name and username. 5.Once created, @BotFather will provide you with an API token. Save this token.

Update the 1XBetCrashUpdater.py to extract the multiplier values from the Crash Game ```

RUN

βœ… Step 5: Run the Crash.py file

Once the Crash.py script is running, you can send it the /predict command to your bot to get the predictions for the next 10 values of the 'Multiplier' column.

Screenshot (23)

Contributing

Contributions are always welcome! If you would like to contribute to this project, you can enhance the 1XBetCrashUpdater.py file to automatically update the 1XBetCrash.csv file. This will help improve the accuracy of the models that rely on the 'Multiplier' column.

ℹ️ℹ️ Steps to Contribute

Thank you for your contributions!

License

This project is licensed under the MIT License - see the License file for details.