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This project forked from patricklowe/auction_house

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Analyse data collected from the auction house API for a server in World of Warcraft. Identifies potentially sold items, and graphs the most profitable/quickest sells.

Python 100.00%

auction_house's Introduction

Goal

Analysing data collected from the auction house API for Hellfire-EU, World of Warcraft. Try identify best sellers, quick sellers, and items to avoid.

WOW AH

This script will collect active auctions from the Blizzard API, on the Hellfire-EU Server then export to a CSV

Preproc

This script performs some preprocessing, gathering the data in a cleaner format, identifies which items potentially sold (between 11pm 22 September and 1am 30th September) and exports to a csv. This needs a minimum of 50 hours to determine sales. It works by gathering auctions first posted 1 hour after the initial collection, and checks which auctions where posted for at least 12 hours (minimum new duration). Essentially, any new items posted will be identified as 'sold' if they a) sell or b) are removed by seller before original duration expires.

Analyse

The script graphs the top selling items, pets, and consumables

auction_house's People

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