Commodities Trading with MATLAB - Interactive data exploration
Ideas for trading strategies can very often be generated by visual exploration of the price data. MATLAB's interactive plotting tools enable analysts to quickly visualize and explore datasets by zooming in & out, highlighting specific portions of a chart, or by removing chart points that are of little interest.
This script demonstrates one particular exploratory workflow. Our first step is to look at the data we have collected on an aggregate basis and see if we can infer any underlying common patterns that might lead to a trading strategy. Next, we split our data into aggregates by commodity types and take a closer look at these.
In this section, we plot all the commodities together on one chart. We call a simple plotting function to iterate through each commodity in the given container. Note that we are plotting the entirety of the data, i.e. there is no separation yet of the training and test set.
In this section, we slice our data into different structs for particular commodity types.
Energy=FilterByType(DataContainer,'Energy'); Metals=FilterByType(DataContainer,'Metal'); Softs=FilterByType(DataContainer,'Soft'); Grains=FilterByType(DataContainer,'Grain');
Here, we will take a closer look at all our energy commodity data. We notice that natural gas behaves differently from the other commodities in this group.
In this section, we take a close look at each of these groups together. We will create a new figure window and carve out subplots inside, one for each of the commodity groups we are exploring.
scrsz = get(0,'ScreenSize'); figure('Position',[1 scrsz(4)/2 scrsz(3)/2 scrsz(4)/2]); axis=subplot(2,2,1); PlotAllCommodities(Energy,axis);title('Energy'); axis=subplot(2,2,2); PlotAllCommodities(Softs,axis);title('Softs'); axis=subplot(2,2,3); PlotAllCommodities(Metals,axis);title('Metals'); axis=subplot(2,2,4); PlotAllCommodities(Grains,axis);title('Grains');