IntelligentTrading
core
Python

ITF Market Analysis and Signal Services

Last updated Dec 9, 2025
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README

Waffle.io - Columns and their card count

ITT Core Services

API

/api/v2/...

Environment Setup

  • Install Prerequisites
- python3.6 - pip - virtualenv - virtualenvwrapper - run commands to create virtual env
$ mkvirtualenv --python=/usr/local/bin/python3 ITF
    $ workon ITF</code></pre>
 
  • Clone and setup Django env
- clone https://github.com/IntelligentTrading/data-sources.git -
$ cd data-sources - $ pip install -r requirements.txt
  • Local Env Settings
- make a copy of
settings/localsettingstemplate.py and save as settings/local_settings.py - add private keys and passwords as needed
  • Connect to Database
- install PostgreSQL server and create local database - run
$ python manage.py migrate to setup schemas in local database - AND/OR - connect to read-only Amazon Aurora DB - set database connection settings in your settings/local_settings.py
  • Run Local Server
-
$ python manage.py runserver - open http://localhost:8000/ - view logs and debug as needed
  • Run Worker Services
-
$ python manage.py trawl_poloniex - ...
  • Query DB in Shell
-
$ python manage.py shell`
> from apps.indicator.models import Price
    > ethprice = Price.objects.filter(currency="ETH").orderby('-timestamp').first()
    > print(eth_price.satoshis)
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