Start with optimize something exercise. Also add a playground for testing candlestick plotting via mplfinance.

README.md

@@ -15,20 +15,26 @@ 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
+[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.
 
 ```
 unzip -n zips/20Spring_martingale.zip -d ./
+unzip -n zips/19fall_optimize_something.zip -d ./
 ```
 
-[Here](https://pythonprogramming.net/candlestick-ohlc-graph-matplotlib-tutorial/)
-is a tutorial for how to plot candlestick data. Will come in handy later.
-
 # Reports
 
-Let's test if I can reference the reports from here:
-
-[Report 1](./martingale/martingale.md)
+- [Report 1](./martingale/martingale.md)
+- [Report 2](#)