ExpertOptionAPI 0.4

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ExpertOption API

Overview

The ExpertOption API offers a programmable interface to interact with Expert Option, a renowned platform for binary options trading. This unofficial API facilitates automated trading, data retrieval, and analysis, enhancing the trading experience.

GitHub Project: ExpertOptionApi
PyPi Package: ExpertOptionAPI on PyPi

Table of Contents

• Overview
• Features
• Installation
• Usage
• Examples
• Contribution
• License

Features

• Automated trading actions.
• Real-time data fetching for market analysis.
• Customizable trading strategies.
• Profile management and trading history retrieval.

Installation

From GitHub:

git clone https://github.com/theshadow76/ExpertOptionApi.git
cd ExpertOptionApi
pip install -r requirements.txt

Using pip:

pip install ExpertOptionAPI

Usage

To start using the API, here is a example where it buy's a random amount, and a random option (call or put):

from expert import EoApi as ExpertAPI
import time
import logging
import random

# Create a logger object
logger = logging.getLogger(__name__)

# Set the desired logging level
logger.setLevel(logging.INFO)

# Create a formatter to format the log messages
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')

# Create a console handler to send logs to the console
console_handler = logging.StreamHandler()
console_handler.setFormatter(formatter)

# Add the console handler to the logger
logger.addHandler(console_handler)
# Create a file handler to send logs to a file
file_handler = logging.FileHandler('expert.log')
file_handler.setFormatter(formatter)

# Add the file handler to the logger
logger.addHandler(file_handler)

# Initialize the expert object with the logger
expert = ExpertAPI(token="YOUR_TOKEN", server_region="wss://fr24g1eu.expertoption.com/")

expert.connect()

expert.SetDemo()

profile = expert.Profile()
print(f"PRofile is: {profile}")

candles = expert.GetCandles()
print(f"The candles are: {candles}")

trades = 15

for i in range(trades):
    trade_choice = random.randint(1, 2)
    strik_time = time.time()
    amount = random.randint(10, 500)
    try:
        if trade_choice == 1:
            expert.Buy(amount=amount, type="call", assetid=240, exptime=60, isdemo=1, strike_time=strik_time)
        elif trade_choice == 2:
            expert.Buy(amount=amount, type="put", assetid=240, exptime=60, isdemo=1, strike_time=strik_time)
        else:
            print("Error")
        time.sleep(15)
    except Exception as e:
        print(f"Errror: {e}")
        time.sleep(60)

For detailed documentation and more complex use cases, refer to the docs directory.

Examples

Find practical examples and usage scenarios in the examples folder. These examples cover a range of operations, from basic trading to advanced data analysis.

Contribution

Your contributions can help improve this project. Please feel free to submit pull requests, report bugs, or suggest new features.

License

This software is released under the MIT License, offering freedom for private, educational, and commercial use. For more details, see the LICENSE file.

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For updates and support, follow the project on GitHub or contact the maintainers.