Alexander Lorenzo built Timeline Price Analysis over two and a half years to map real-world events to Bitcoin price movements. He quantifies each event's impact, like a 29% move after the FTX bankruptcy, without claiming direct causation. The method tracks coincidences between major news and market shifts.
Timestamp looks at Bitcoin's price and it looks at specific events that have affected the price of Bitcoin specifically. We can roll it out to Ethereum later, but right now we're focusing on Bitcoin. So for example, we have this event here: New bank wins conditional OCC approval for US national bank. So in this case, right, this right here affected Bitcoin's price 29%. Now, does it mean that this event alone brought down Bitcoin's price 29%? No. That's not what it means, but we can find— there is some truth to it. There has to be something there, right? I assume it hasn't because I've never seen it before, but it's, it's an ex— this is an extension of a, of a research methodology that we pioneered called Timeline Price Analysis. So, uh, this was like— we, we— I started this like almost 2 and a half years ago. And so Timeline Price Analysis is looking at individual events and how they affect The price of an asset, but then we extrapolate it to like the most important parts of the of the price. We look for pivotal events. Like for example, we talked about in the last live Q&A. It's not here. We talked about in the last live Q&A that we had ChatGPT launch at the bottom of Bitcoin's price. I don't think that there's no way that that could be a coincidence to me. One, I'll get I'll blow your guys' mind a little bit. FTX exchange also. Actually filed for bankruptcy right here as well. So to me, yeah, that's super fishy and obvious, right? There's something there. There has to be something there. That's the study of timeline price analysis, looking at significant events and how they affect price.
