Many studies exists for the Log-Periodic Power Law Model (LPPL) for Bubble Detection based on the article " Diagnosis and Prediction of
Tipping Points in Financial Markets Crashes and Rebounds by Didier Sornettea " and his book " Why Stock Markets Crash Critical
Events in Complex Financial Systems
His work provides framework to detect bubbles and predict major changes in the market, and claims to have good accuracy
I found several python codes on the internet, and I plan to research this area, but I wonder if there is something done in MT4 on this
field or not ?
Forum on trading, automated trading systems
and testing trading strategies
Interesting to Read
Stock Markets Crash: Critical Events in Complex Financial Systemsby Didier Sornette
The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in
both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic
patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly applies his varied
experience in these areas to propose a simple, powerful, and general theory of how, why, and when stock markets crash.
Any investor or investment professional who seeks a genuine understanding of looming financial disasters should read this
book. Physicists, geologists, biologists, economists, and others will welcome Why Stock Markets Crash as a
highly original "scientific tale," as Sornette aptly puts it, of the exciting and sometimes fearsome--but no longer quite so
unfathomable--world of stock markets.
I came to first know about Didier Sornette from his TED talk
The guy is a genius he has a Phd and he is in the filed for many years
Here is a link with python code for the LPPL model
And I found few posts/threads on the forum related to it -
(look at Goertzel
algorithm page in wikipedia)