Service that collects cryptocurrencies price data, fires alerts based on price sentiment, and performs automatic trading
Project description
XTCryptoSignals
XTCryptoSignals is a Python library that includes multiple services such as:
Ticker
- Data collection of crypto-currencies pairs such as BTC/USDT, ETH/BTC or any other pair that is supported by the Exchange API
- A Signals service based on setup rules to send real-time alerts about price, price change, trading volume or market sentiment through E-mail or Push Notifications to the browser or mobile app
- Automatic trading
Web Server API
- Restful interface that exposes API calls to get desired crypto-currencies data and runs as well SocketIO Server. (This service must be running to allow the Ticker to send real-time data to the Website, using SocketIO)
Website
- Website to show some of the platform functionalities.
Roadmap
- Add crypto-currencies exchanges (Dec 2018)
- Implement RESTFul API and socket.io to access price data in real time (Jan 2019)
- Build website to use this platform (From Jan 2019)
- Setup notification rules for price range, price change, trading volume, price sentiment (Feb 2019)
- Build Unit, functional and end-to-end testing (From Jan 2019)
- Implement e-mail and web browser push notifications signals (Mar 2019)
- Implement automatic trading (Apr 2019)
- Build iOS app (May-Jul 2019)
Getting Started
Pre-requisites
Installation
Install from source
Clone project repository
hg clone ssh://hg@bitbucket.org/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 xtcryptosignals
cd xtcryptosignals
Setup Python virtual environment:
virtualenv venv -p python3
source venv/bin/activate
Install package:
pip install xtcryptosignals
Ticker
Start service
xt-ticker
Run without Celery (for testing purposes):
xt-ticker --testing
To get a list of supported exchanges:
xt-ticker --list-config exchanges
binance
uphold
okex
idex
switcheo
hotbit
bibox
okcoin
bithumb
coinbene
(Drop me an email if you want a new one to be supported or contribute to this project creating a pull request)
Command line help
xt-ticker --help
Usage: xt-ticker [OPTIONS]
Use this tool to collect data from configured coins or/and tokens from
configured crypto-currencies exchanges.
Options:
--testing Execute 1 iteration for all configured coins
and/or tokens without Celery. (Useful for
testing purposes)
--list-config [exchanges|currencies]
List 'exchanges' or 'currencies' (coins or
tokens) per exchange that the tool currently
supports.
--enable-real-time Enable SocketIO real-time crypto-data
message broadcasting.
--version Show version.
-h, --help Show this message and exit.
Setup
There is already an initial setup with some crypto-currencies (coins and tokens) that can be added or/and removed 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. In my current system (Macbook pro 2017) 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. (This performance figure depends on used hardware and Internet connection / latency)
Web Server API
Start service
xt-server
Website
Start service
xt-client
Disclaimer
This project is work in progress and when it comes to trading use it at your own risk.
License
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