XTCryptoSignals 0.0.4.1

Python service that collects crypto-currencies symbols pairs data & allows setup of notifications & automatic trading

XTCryptoSignals

XTCryptoSignals is a Python service that collects crypto-currencies symbols pairs data such as BTC/USDT, ETH/BTC or any other pair that a Crypto-currency Exchange API supports and allows the user to setup signals based on rules to send real-time notifications through e-mail or Push Notifications to the browser or mobile app. It will allow as well automatic trading.

Roadmap

• Add crypto-currencies exchanges (Dec 2018)
• Setup notification rules (Dec 2018 / Jan 2019)
• Implement e-mail and web browser push notifications signals (Jan 2019)
• Start building Unit, functional and end-to-end testing (From Jan 2019)
• Implement automatic trading (Feb/Mar 2019)
• Build iOS app (Mar 2019)

Getting Started

Pre-requisites

• Python 3.x
• Redis
• MongoDB

Installation

Install from source

Clone project repository

hg clone ssh://[e-mail]/pantunes/xtcryptosignals
cd xtcryptosignals

Setup Python virtual environment:

virtualenv venv -p python3
source venv/bin/activate

Install package

pip install -e .

(Dependencies will be installed automatically from requirements.txt)

Install from PyPi

Create folder project:

mkdir <project directory>
cd <project directory>

Setup Python virtual environment:

virtualenv venv -p python3
source venv/bin/activate

Install package

pip install xtcryptosignals

Start service

xt-crypto-signals

Starts standalone script without Celery (for testing purposes)

xt-crypto-signals-test

Setup

There is already an initial setup with some crypto-currencies (coins and tokens) that can be changed in settings_exchanges.py.

BIBOX: {
    'pairs': [
        ('ONT', 'USDT'),
        ('ONT', 'BTC'),
        ('ONT', 'ETH'),
        ('NEO', 'USDT'),
        ('NEO', 'BTC'),
        ('NEO', 'ETH'),
        ('LTC', 'USDT'),
        ('LTC', 'BTC'),
        ('CARD', 'ETH'),
    ]
}

UPHOLD: {
    'pairs': [
        ('BTC', 'USD'),
        ('ETH', 'USD'),
        ('LTC', 'USD'),
        ('XRP', 'USD'),
    ]
}

Initial setup to create dynamic MongoDB collections for data segmentation categorized by Exchanges pooling frequency in settings.py.

HISTORY_FREQUENCY = (
    '10s', '30s', '1m', '10m', '30m', '1h', '3h', '6h', '12h', '24h'
)

Results

This service is fast as it uses threading. It takes around 6 seconds to collect data of 70 crypto-currencies symbols pairs from 7 exchanges and save it in 11 collections in MongoDB. (Depending on external Exchange APIs availability and Internet connection/latency)

Disclaimer

This project is work in progress and when it comes to trading use it at your own risk.

License

GNU