Lately I’ve been spending more time building tools and workflows outside the game, but everything is still directly tied to improving in-game decisions.
I started by creating a spreadsheet powered by Power Query that pulls raw material prices and automatically applies refining calculations. The goal is simple: quickly identify when buying raw materials and selling refined minerals becomes profitable, as this has been one of my main ISK streams. This already paid off — I found a solid opportunity, bought more than 30,000 ice blocks away from Jita, refined them, and captured the margin.
Next, I built a full Tech II manufacturing dataset. Using ravworks.com as the base (currently the most accurate source I’ve found), I edited the site’s JSON file and injected 270 T2 module IDs. This allowed me to generate a list of T2 modules with calculated manufacturing costs and profits. The output is a copyable table that can be pasted directly into Excel, where I add a column for Jita total profits of each item by multiplying item profit by daily volume. This highlights the best-performing items immediately and avoid being fooled by the item profit only. Having everything in one place makes it much easier to scan for production opportunities instead of checking items manually.
I also started experimenting with regional trading. For now, I’m using eve-trading.net to identify spreads, but instead of following the typical approach of selling to buy orders, I’m selling directly to sell orders when the spread makes sense. I’m focusing on raw material trading and avoiding heavy competition with established traders. It’s a quick way to test opportunities and understand the flow between regions. Still early, but it’s helping me understand what regional trading looks like in practice rather than theory.
Overall, this phase is less about flying ships and more about building infrastructure: data pipelines, pricing models, and decision tools. The idea is to reduce guesswork and move toward repeatable, data-driven profits.
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