Easy-to-use multi-strategic automatic trading for Binance Futures with Telegram integration

• You can run it fast and it's easy to use.
• This project can handle multiple strategies at the same time.
• There are no complexities and no database usage in this project. Even dependencies are a few.
• It's easy to modify and customize.
• 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 Futures access) and put it in credentials.py.
3. Run pip3 install -r requirements.txt.
4. Run python3 init_indicators_dict.py.
5. Run python3 init_orders_dict.py.
6. Run python3 main.py.

This will run an example bot on trading Bitcoin with 4 strategies simultaneously.

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.

Warning: Binance has a maximum limit of 10 take-profit and stop-loss open orders, therefore do not use more than 5 strategies at the same time.

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 to handle error codes.
• Unify get candles functions.

• Crypto Trading Strategy Backtester
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• Finestel: Our automated trading bot can be used on Finestel & Finestel Pro: a crypto copy trading platform where pro traders & asset managers can connect their exchange accounts and manage their clients and communities of investors’ assets by using Finestel/Finestel Pro in conjunction with our Binance futures bot. Investors have the opportunity to profit the same as you while learning from more experienced traders.

Erfan Alimohammadi and Amir Reza Shahmiri