In todays TA I'm going to be continuing a series of analyses I began some months ago. I'll recap some important terms here but for a full recap please see this post going over why the MA 1000 is a useful indicator for baselines. I'd like to emphasize that the MA 1000 is not "the" baseline but rather a baseline.
Alright on with the show! BTC's MA 1000 on the Daily Chart ETH's MA 1000 on the Daily Chart In my last post, I noted that > What we're also beginning to see in ETH's case is that its MA 200 is going to be meeting its MA 50. These usually lead to a breakout, but in which direction I couldn't say. It seems that the breakout was a downward one. We're also now seeing the same pattern take shape in BTC, where the MA 50 will be crossing the MA 200. Will the same thing happen here? I couldn't say one way or the other. Both BTC and ETH have deviated from their MA 1000 going further below it. If we see regression to the mean play out, we can reasonably expect prices to regress back towards it over the long haul, however getting their may be a bumpy ride. Generally speaking though, we also have not yet seen BTC and ETH deviate too far from their MA 1000 and this is still within 1 standard deviation from their MA 1000. See below for what 1 standard deviation from the MA 1000 looks like for both BTC and ETH. The variability plotted is insane, but this is the range. BTC 1 standard deviation plotted from the MA 1000 ETH 1 standard deviation plotted from the MA 1000 This post will *not\* be making any predictions about where prices will go. Instead, this post is emphasizing that prices in crypto seem to follow statistical concepts such as regression to the mean. From what we can see, prices do not like to deviate too far from their mean for too long, and that any drastic deviations from the mean are eventually met with correcting back towards it. That's it, I hope you enjoyed! [link] [comments] |
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