release Gateio And Binance Cryptocurrency Trading Bot

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This cryptocurrency trading bot designed for Gateio and Binance monitors the Binance Announcements page to identify new coin listings. Once a new listing is detected, the bot automatically places a buy order for that coin on Gateio. It includes features such as trailing stop loss, take profit options, and a testing mode.

The purpose of this open-source trading algorithm is to capitalize on price surges associated with new coin listings announced on Binance. Given that Gateio often lists many of these coins prior to Binance, it serves as an ideal platform for executing this strategy. Note that the bot operates in both live and test modes, so users should proceed with caution.

Instructions for Setup

1. Create a virtual environment (it's advisable to use Python version 3.8 or higher; you can check your version with `python --version`):

 

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2. Activate the virtual environment:

- For Linux:
 

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For Windows:
 

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3. Install necessary program dependencies:

 

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This command will install all of the requirements necessary for the program to run. At this stage, you can execute the script using `python main.py`. You can stop here if you just want to run the tool without additional setup.

4. Install development dependencies:

 

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This step will assist in streamlining code verification and automatically format the code to adhere to the specified coding style.

5. Set up pre-commit hooks:

 

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This command installs pre-commit Git hooks for the project to facilitate automated execution of the pre-commit script upon every commit.

 

6. Manually run tests and pre-commit scripts:

For manual execution of the pre-commit script, use:

 

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Tox: Ensure the virtual environment is enabled. Tox tests the code across multiple Python versions (3.8, 3.9) while also checking the code for compliance using tools like flake8 and mypy (only on Python 3.8). To execute Tox:

 

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PyTest: Again, make sure the virtual environment is activated. PyTest will execute the unit tests for the code. To run PyTest:

 

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Flake8: Ensure the virtual environment is active. Flake8 analyzes the code for potential errors and warnings. To run Flake8:

 

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Black: Confirm that the virtual environment is enabled. Black is a code formatter that standardizes the coding style. To format the code with Black:

 

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Additional Considerations

Always remember to conduct thorough testing in the test mode before deploying the bot in a live trading environment. The cryptocurrency market is highly volatile, and while the bot aims to capitalize on price movements, market fluctuations can lead to unexpected outcomes. Users should trade responsibly and be prepared for both potential gains and losses.

 

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Spoiler

Author - CyberPunkMetalHead