YOU ARE SELLING ELASTIC GOODS WRONG - [Arknights: Endfield ]
By Farmito
This is an AI-generated summary of “YOU ARE SELLING ELASTIC GOODS WRONG - [Arknights: Endfield ]” — a 20 min YouTube video by Farmito, published February 21, 2026. It condenses the full transcript into 10 key takeaways with clickable timestamps.
Summary
This video presents an optimized strategy for buying and selling elastic goods in a game's stock market, based on a week-long data analysis, to maximize profit by understanding weekly price fluctuations.
Key Points
- The video aims to provide an optimal strategy for purchasing and selling elastic goods in a game's stock market, as simply buying low and selling high daily is not the most profitable method.
- Elastic goods prices fluctuate daily, with a default price of 2,000, and friends' markets also have different prices.
- The research revealed a clear trend: prices for buying elastic goods are generally highest on Monday and lowest towards the end of the week, while selling prices are lowest on Monday and highest towards the end of the week.
- While the general trend favors Sunday for selling and later in the week for buying, players should still take advantage of exceptionally good prices if they appear on other days like Friday or Saturday.
- This means that buying on Monday and selling on Monday results in significantly lower profit margins compared to other days.
- Following this optimized purchasing and selling pattern can lead to millions more in stock value bills weekly compared to buying every day.
- For Valley items, which have a 3-day storage capacity, the optimal strategy is to save purchases and selling on Monday and Tuesday, buy 320 items from Wednesday to Saturday, and then buy out the remaining 960 items and sell all stock on Sunday.
- For Wuling items, with a 2-day storage capacity, the optimal strategy is to save purchases and selling on Monday, buy 50 goods from Tuesday to Saturday, and then buy the remaining 100 and sell most stock on Sunday.
- The speaker conducted a week-long research, tracking prices of four random items for 100 friends, to analyze overall price trends rather than just daily lowest/highest prices.
- The overall conclusion is that prices reset weekly, with the lowest buying and highest selling opportunities occurring towards the end of the week, particularly on Sunday.
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