oh, it's totally fine. i'm trying to make it stupid simple. here goes:
You've got your historical data set. You want to reduce it to biggest movers up or down by percentage and test it historically. So, first you do all the "this could refine the set" logic bricks to whittle down pandas frames.
In order to visualize how correct or incorrect each brick indicates, you set a pixel/block for each item you're tracking to a color, say red for down and green for up. Each found and is right historically adjust the red or green RGB value. A misfire adjusts the B value.