Small update :)

LongOnly · Apr 5, 2019 · 7048f1b · 7048f1b
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diff --git a/AssetAllocation.ipynb b/AssetAllocation.ipynb
diff --git a/DecisionTreeRegressors.ipynb b/DecisionTreeRegressors.ipynb
diff --git a/LICENSE b/LICENSE
@@ -175,7 +175,7 @@ Apache License
 
    END OF TERMS AND CONDITIONS
 
-   Copyright (c) 2018 Leonardo Filipe <contact@leonardofilipe.com>
+   Copyright (c) 2019 Leonardo Filipe <contact@leonardofilipe.com>
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.

diff --git a/PairsTrading.ipynb b/PairsTrading.ipynb
diff --git a/README.md b/README.md
@@ -1,26 +1,24 @@
-#### This is [my website](https://www.leonardofilipe.com) related repo where I publish trading algorithms for S&P500 stocks and market indexes!
+#### This is [my website](https://www.leonardofilipe.com) related repo where I publish some algorithms for S&P500 stocks and market indexes!
 
-#### The main objective is to be educational and help with idea generation, they're not appropriate for consumption since they are ~~overfitted~~ optimized but I'm aiming to publish some content on validation soon
+#### The main objective is helping with idea generation! Some of these 'strategies' might not be appropriate for consumption ~~due to overfitting~~ (it's meant to be educational)
 
-Dependencies: Numpy; Scipy; Pandas; Matplotlib and Requests (for fetching Yahoo Finance data)
+Dependencies: Numpy; Pandas; Matplotlib and Requests (for fetching Yahoo Finance data)
 
 #### Difficulty
 
 Moderate:
 
-[ML Based Pairs Trading](DecisionTreeRegressors.ipynb) - Simple Machine Learning demonstration of Decision Tree Regressors applied to the previous pair
+[ML Based Pairs Trading](DecisionTreeRegressors.ipynb) - A simple Machine Learning example, Decision Tree Regressors applied to the previous pair (also requires Scikit-Learn)
 
 Basic:
 
 [Long Only Pairs Trading](PairsTrading.ipynb) - A simple pairs trading strategy focused on buying the loser! Signal is given by rolling correlation
 
 Introductory:
 
-[Dynamic Asset Allocation](DynamicAssetAllocation.ipynb) - Encouraging dynamic capital allocation (not rebalacing)! [#Think Bayes](https://github.com/AllenDowney/ThinkBayes2)
+[Dynamic Asset Allocation & Diversification](AssetAllocation.ipynb) - Exploring geographical diversification and optimizing capital allocation (also requires Scipy)
 
-[Geographical Diversification](GeographicDiversification.ipynb) - Hello (Financial) World
-
-Market data last updated at 18 March 2019
+Market data last updated at 4 April 2019
 
 #### Who am I?
 I'm Leonardo, a 23 year old currently enrolled in a Masters of Applied Econometrics and Forecasting, looking forward to share (some) of my insights on quantitative investment strategies