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Telegram-Qxbroker-Bot

This project consists of two main Python scripts, producer.py and consumer.py, designed to monitor Telegram chats for binary options signals, validate these signals, and execute trades on a broker platform based on the signals received.

This project uses pyquotex:

-- https://github.com/cleitonleonel/pyquotex

Description

producer.py monitors Telegram channels for trade signals and extracts crucial information for trading binary options. consumer.py takes these signals, validates them, and if they are correct, executes the trade at the specified time.

Features

Consumer.py

• Signal Reception and Validation: Listens for incoming trade signals from producer.py and validates them to ensure all required fields are correct and formatted properly.
• Trade Execution: Engages with the trading platform to execute trades based on validated signals.
• Martingale Strategy: Implements a martingale strategy if the initial trade does not win.
• Wait Mechanism: Waits until the exact time specified in the trade signal before executing the trade.

Technical Setup

Dependencies

• termcolor: Used for colorizing printed messages in the terminal.
• json: For parsing JSON data.
• asyncio and socket: For asynchronous operations and socket communications respectively.
• Custom modules: trade, wait_until_time for executing trades and managing trade timing.

Configuration

1. Consumer Socket: Set up a socket listener on localhost at port 9999 to receive signals from producer.py.
2. Broker Configuration: Configure the trade function with your broker API credentials and trading parameters.

Usage

1. Start consumer.py:

   • Upon launching, it will prompt you for:
     • Your Quotex username and password.
     • Your email address and password.
     • A folder path to store web data separately for organizational purposes.

2. Start producer.py:

   • You will be asked for your Telegram phone number.
   • After providing it, a verification token will be sent to your Telegram.
   • Enter the provided token in the script to establish a connection.
   • Note: The entity_id used in the script is specific to the group where the signals are sourced. It may not work with other groups.

Note

Both scripts work together to monitor, validate, and act on trading signals in real-time, leveraging asynchronous operations to manage multiple signals efficiently.