Use data analysis results to avoid unprofitable trading hops about poe-currency-flip-planner HOT 1 CLOSED

I updated the existing heatmap visualizations for a new dataset featuring the four leagues Delve, Hardcore Delve, Standard and Hardcore here.

From this, I've created a list with the 20 percent most common edges per league, which can be found here. This was done by looking at this data, which is the raw data for the heatmaps.

The task is still to find the most important trading transactions between currencies. But instead of taking the most common edges, I'll try to find those transactions by removing certain edges from my internal trading graph and checking how many profitable paths I lose.

For this I can use my archived *.pickle files of the PathFinder class, which holds all necessary data for this:

• A list of all offers for all currency pairs
• The produced graph from the list of offers
• Found profitable conversions

So removing one edge at a time and re-traversing the graph should yield me some more insight on this topic. I should probably alter my graph model and breadth-first search to support inactive edges.

from poe-currency-flip-planner.