Easy-to-use automatic trading for Binance Spot with Telegram integration

• You can run it fast and it's easy to use.
• There are no complexities and no database usage in this project. Even dependencies are a few.
• It's easy for modifying and customization.
• It automatically stores recent candles that can be used for machine learning model input.
• You can read the code for educational purposes.
• You can be notified with Telegram messages

1. Clone the repository.
2. Generate a Binance API key (with Spot access) and put it in credentials.py.
3. Run pip3 install -r requirements.txt.
4. Run python3 init_indicators_dict.py.
5. Run python3 main.py.

This will run an example bot on trading Bitcoin.

To write custom bots you can:

• Set an initial indicators setting in init_indicators_dict.py (because we are handling indicators in the client side with pickle files).
• Set an initial orders setting in init_orders_dict.py (because we are handling orders in the client side with pickle files).
• Define new indicators in indicators.py.
• Define a new strategy in main.py (especially inside is_it_time_to_open_long_position and is_it_time_to_open_short_position functions).
• Config your bot settings in config.py.

Note: If you define any machine learning model, you can use recent_prices_list as its input.

1. Firstly, you need to create a Telegram bot, so talk to @botfather.
2. Secondly, need to know your own Telegram user ID, so the bot will know who to send messages to. Talk to @userinfobot to get this information.
3. Thirdly, you have to /start your bot. Open up a private message with your bot by searching its username, then hit the start button.
4. Finally, set TELEGRAM_API_KEY and TELEGRAM_USER_ID in credentials.py, and SEND_TELEGRAM_MESSAGE in config.py.

• Import modules, not variables.
• Use classes and make main.py smaller.
• Add more indicators to indicators.py.
• Find a better way for handling error codes.

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Erfan Alimohammadi and Amir Reza Shahmiri