Continue work on project 3.

README.md

@@ -4,7 +4,8 @@ This is my solution to the ML4T course exercises. The main page for the course
 is [here](http://quantsoftware.gatech.edu/Machine_Learning_for_Trading_Course).
 The page contains a link to the
 [assignments](http://quantsoftware.gatech.edu/CS7646_Spring_2020#Projects:_73.25).
-There are eight projects in total.
+There are eight projects in total. The summer 2020 page is
+[here](http://lucylabs.gatech.edu/ml4t/summer2020/).
 
 To set up the environment I have installed the following packages on my Linux
 Manjaro based system.
@@ -15,18 +16,16 @@ sudo pacman -S python-pandas --asdeps python-pandas-datareader python-numexpr \
                python-numpy
 ```
 
-I am also using the wonderful
-[mplfinance](https://github.com/matplotlib/mplfinance). You can install
-mplfinance via pip and find the tutorial
+I am also using [mplfinance](https://github.com/matplotlib/mplfinance) to plot
+candlestick-charts. You can install mplfinance via pip and find the tutorial
 [here](https://github.com/matplotlib/mplfinance#tutorials).
 
 ```
 pip install mplfinance --user
 ```
 
-Use unzip with the `-n` flag to extract the archives for the different
-exercises. This makes sure that you do not override any of the existing files. I
-might add a makefile to automize this later.
+I have included the archived version of the exercise. To extract them run the
+following command. The `-n` flag makes unzip never overwrite existing files.
 
 ```
 unzip -n zips/*.zip -d ./