Simple scripts for analytics of futures data from CHRIS database on Quandl. Requirements: ------------ 1. quandl 2. matplotlib 3. seaborn 4. ipykernel Step by step config manual using Anaconda3 on Windows10: ----------------------------------------------------- 1. Create virtual environment: conda create -n quandl 2. Activate virtual environment conda activate quandl 3. Install dependencies: conda install <package> where <package> is every package on requirements list (top of this file) 4. Register virtual env kernel for use in Jupyter notebooks python -m install --user --name quandl Jupyter restart typically is required for this to take effect. 5. Clone this repo git clone https://github.com/t1user/wiki_futures 7. Set QUANDL_API_KEY system environment variable to your api key on Quandl set QUANDL_API_KEY <key_string> (to make the change permanent it would could be easier to make the change in Windows settings and reboot) 8. Download data (takes couple of minutes to complete) cd wiki_futures python quandl_dowloader.py 9. When using Jupyter notebooks make sure you're using correct kernel (if this manual is followed exactly, it should be named: 'quandl')