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The recent surge in prices for Pokémon 151 cards raises an important question: who actually controls Pokémon card prices? In this video I walk through a data investigation that started while I was analyzing the 151 market and ended up reshaping how pricing works inside my analytics project, Collectrics. What I discovered is that a large portion of the hobby’s pricing tools ultimately trace back to a single marketplace signal. Many platforms reference the same identifiers and pricing feeds, which means that relatively small numbers of sales can ripple through the entire ecosystem of price trackers. Using real sales data, I compare how different sources respond to market movement, including TCGplayer-driven feeds, PriceCharting, and broader marketplaces like eBay. The differences between these signals can be dramatic, especially when prices start rising quickly. This led me to rethink how a pricing model should behave. Instead of relying heavily on one source, I’m building a system that blends multiple datasets, applies guardrails to sudden spikes, and weighs sales volume more carefully to reduce noisy signals. This video is a behind-the-scenes look at that process and the ideas shaping the future of Collectrics. If you enjoy digging into the data side of the hobby, you might find this interesting. Let me know what you think about https://mycollectrics.com! I'm looking for all feedback and suggestions. Thanks!