In honor of #Bitcoin2023 I examined the log log model of Bitcoinโ€™s historical price by using ChatGPTs Code Interpreter. ๐Ÿ‘‡๐Ÿผ๐Ÿ‘‡๐Ÿผ

Power law approach and model originally by @hcburger1 ๐Ÿ™๐Ÿผ Image
Using daily price data from 2010 through 4/26/2023 I asked code interpreter to fit the total data set using @hcburger1โ€˜s methodology.

It projected the model out through 2030. ๐Ÿ‘‡๐Ÿผ Image
The model fit through 4/26/2023 produced an R2 value of 0.953.

A very good fit. It correctly reminded me that a high R2 value does not guarantee future model predictions. ImageImage
Here are some of its predictions. (Not financial advice):

These can be interpreted as fair value price predictions as they are based on the best fit. It doesnโ€™t attempt to predict daily prices accurately. ImageImage
I then attempted to recreate @hcburger1โ€™s model by only fitting the model through 12/30/2019.

Amazingly, the model through 12/30/2019 had an R2 of .953 (almost exactly the same as fitting all data through current). ImageImageImage
Model fit through 12/30/2019 in log log scale.

The model has predicted quite well since he originally fit it. ๐Ÿ”ฅ Image
Just for fun I asked Code Interpreter to add prediction intervals for 1 and 2 standard deviations.

It decided to use the standard deviation of the residuals from the fit of the model. Image
Iโ€™m amazed at how easily you can analyze data with Code Interpreter. I didnโ€™t write a single line of code.

Many thanks to @hcburger1 for the inspiration. His Power law Bitcoin model is the best out there (imo).

If you enjoyed this, an RT or a follow would be much appreciated!

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More from @TechMemeKing

May 26, 2023
1/ ๐ŸงตI've been playing around with @AnthropicAI's Claude-instant-100k Model and it's been nothing short of a revelation. I used it to analyze over 500 Amazon product reviews to understand product enhancement ideas, and boy, the insights are fascinating. ๐Ÿ‘‡

@poe_platform Image
2/ The details: the product in question was the Amazon Essentials Slim Fit Chino Pant. Here's what the model's summarized review looked like. Pros: Affordable, comfortable, broad size range, classy look, true-to-size fit. Cons: Durability, cut, shrinkage, inconsistency.
3/ A key takeaway here is how valuable the model's findings can be for product enhancement. It suggests improvements like more durable fabric, true slim fit cut, improved consistency, and non-shrink material. This kind of detailed feedback could be a game-changer for businesses.
Read 11 tweets
May 4, 2023
Check out some simple image manipulation on this Midjourney generated image using the new ChatGPT code interpreter plug-in ๐ŸŽฃ๐Ÿ‘‡๐Ÿผ twitter.com/i/web/status/1โ€ฆ Image
โ€œCreate a pixel art version of this image. 50 by 50โ€ Image
โ€œAnalyze the colors in this image. Cluster the most common colors and display them.โ€ Image
Read 6 tweets

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