Identify Crypto Market Tops and Bottoms Using Physics

In this video we use the Log Periodic Power Law to identify market tops and bottoms on highly speculative assets when they exhibit herd like bubble behaviour. For example using Ripple or Ape coin, we can see a clear indication that physics may actually apply to financial time-series rather well.
The Log Periodic approach to finding an increase in frequency during a highly speculative hype cycle within crypto seems to work quite well when just looking at the charts. When the red indicator spikes greatly, this could indeed signal a market top and thus indicates that a likely market regime change is imminent.
The same can be true for the opposite (green indicator shown within the video) at identifying potential market bottoms.
Code download:
github.com/coderaidershaun/lo...
Crypto Wizards Data (Use the XTrader tool):
cryptowizards.net
Not Only Science Video:
• From Earthquakes to Fi...
Avoiding Bubbles Site:
signals.boulderinvestment.tech/
Colab Notebook:
colab.research.google.com/dri...

[@odgarig8601]

Just finished setting this up on my vscode. My pc didn't even have python so it was a struggle :D. I'll trade for a few days and get back to y'all.

[@marksukhinin7622]

As always, very valuable content. Surprised that I didn't know about this one (lppls model gained popularity in 2019). I have been researching this topic for a week already and have so many questions to discuss

[@CryptoWizards]

I hear you man. Im way behind on this one.

[@f.iz.n]

I pressed the Like button before watching the video because I know that each video will give me a lot of information.♥

[@CryptoWizards]

Love it! Thank you!

[@andreachiavazza1420]

Hi do you think that is possible to add a few line of code in order to obtain in another file a precise information about the win ratio, the gain or loss and the time that it takes in order to change direction again? It would be very useful for an analysis and to know exactly when to invest,what expiry to choose and what strike to choose Thanks in advance 💪

[@CryptoWizards]

Definitely. It's worth adding backtests to this. Right now am slammed on the ZScore tool upgrades. However, will show how to do this in the not-to-far future.

[@giovannisantostasi9615]

The physicist Sornette worked on this.