Algorithmic Trading
With Machine & Deep Learning
Workshop by Dr. Yves J. Hilpisch | The Python Quants GmbH
London, 12. October 2017
(short link to this Gist: https://goo.gl/LAQ8Ze)
- http://tpq.io
- http://hilpisch.com
- http://twitter.com/dyjh
- http://pyalgo.tpq.io
- http://certificate.tpq.io
"Pichai said that as an 'AI first' company, this is a 'unique moment in time' for Google to combine hardware, software and artificial intelligence. 'It's radically rethinking how computing should work', he said."
Business Standard, "Google Ramps up Hardware Business", 06. October 2017.
You find the slides under http://hilpisch.com/odsc_workshop.pdf
If you have either Miniconda or Anaconda already installed, there is no need to install anything new.
We are using Python 3.6. Download and install Miniconda 3.6 from https://conda.io/miniconda.html if you do not have conda already installed.
In any case, you should execute the following lines on the shell/command prompt to create a new environment with the needed packages:
conda create -n odsc python=3.6
(source) activate odsc
conda install numpy pandas=0.19 scikit-learn matplotlib
conda install ipython jupyter
conda install tensorflow
jupyter notebook
Read more about the management of environments under https://conda.io/docs/using/envs.html
We are going to cover the following topics:
- Reading Financial Time Series Data with pandas
- Formulating an Algorithmic Trading Strategy
- Vectorized Backtesting of the Trading Strategy
- Random Walk Hypothesis
- Prediction based on Logistic Regression
- Neural Networks from Scratch
- Prediction based on DNN Classifier
You find the data set used under http://hilpisch.com/eurusd.csv (as provided by FXCM Forex Capital Markets Ltd.).
Use this link to get a 10 USD starting credit on DigitalOcean when signing up for a new account.
Good book about everything important in Python data analysis: Python Data Science Handbook, O'Reilly
Good book covering object-oriented programming in Python: Fluent Python, O'Reilly
