From 118677a78bf6e223fe007a4605cfa67b40293791 Mon Sep 17 00:00:00 2001 From: fossabot Date: Tue, 6 Feb 2018 00:22:09 -0800 Subject: [PATCH] Add license scan report and status Signed-off-by: fossabot --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 2ef6d1d..17b5ac4 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,6 @@ # Investigating Algorithmic Stock Market Trading using Efficient Ensemble Techniques +[![FOSSA Status](https://app.fossa.io/api/projects/git%2Bgithub.com%2FKhaledSharif%2Fquantopian-ensemble-methods.svg?type=shield)](https://app.fossa.io/projects/git%2Bgithub.com%2FKhaledSharif%2Fquantopian-ensemble-methods?ref=badge_shield) + This is an assisting repository for the published paper investigating ensemble methods in algorithmic trading. [It is available publicly at this link](https://drive.google.com/file/d/0B9hY6ZTULtEcbFdrQjhBbWh5ZXM/view?usp=sharing). It was written by Khaled Sharif and Mohammad Abu-Ghazaleh, and was supervised by Dr Ramzi Saifan. Below is a brief overview of the paper contents, in addition to a summary of the code and results of the paper. @@ -273,3 +275,7 @@ Table 3: The table below compares the average values of the volatility and maxim | Random Forest Classifier | 0.24 | 0.35 | 11.55% | 21.45% | | Extremely Randomized Trees Classifier | 0.23 | 0.49 | 11.69% | 25.25% | | Gradient Boosting Classifier | 0.22 | 0.38 | 24.00% | 24.02% | + + +## License +[![FOSSA Status](https://app.fossa.io/api/projects/git%2Bgithub.com%2FKhaledSharif%2Fquantopian-ensemble-methods.svg?type=large)](https://app.fossa.io/projects/git%2Bgithub.com%2FKhaledSharif%2Fquantopian-ensemble-methods?ref=badge_large) \ No newline at end of file