STA Blog

Staying Ahead of the Game! With Andrew Pancholi, Gann and long term cycles

Another excellent speaker who, like last month’s virtual presentation, was suggested by David Watts FSTA and the main technical analysis tool was Gann cycles. Starting with the 72-year cycle (1929-2001), Andrew warned us not to fall asleep – ahead of a potential stock market crash in 2073.

In fact, after roughly 40 years of research and help from the Gann family, Andrew uses cycles to forecast far more than mere stock market moves; his wide remit helps to identify significant geopolitical events. Interestingly he also likes to work backwards from a future potential significant point. He quips: ‘’Long term forecasting is easy. You just need to be patient’’.

His long term cycles come thick and fast and STA members (who can view the video of the presentation) will find this invaluable. Some of the cycles he mentions include 18.6 years, 45 years, 90 and 100 years. He is very personable and has the audience delighting in the myriad examples he brings to life. The end of the US railroad boom in 1857; the 1907 Rich Man’s panic (when Mr J P Morgan had to be dragged in to sort things out); the end of the US manufacturing boom in 1957. More sinisterly he notes the pandemic cycle: smallpox in 1618, measles in 1717, cholera in 1817, influenza in 1918 and Covid in 2019. He believes there is a hierarchy of cycles, where the 100-year one is top dog.

He reminds us that Gann believed every stock or commodity ‘’has its own vibration’’ and so cycles do not necessarily transfer across asset groups. In other words: do the homework. His focus is very much on futures markets and US stock indices, and he values data provided in the Commitment of Traders reports which, can be automated. ‘’Anything can be automated these days’’.

For further info please see:

support@cyclesanalysis.com and www.markettimingreport.com

Posted in Finance, Markets, STA news, Technical Analysis, Technical Analysis Courses, Trading, Trending
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Disclaimer

The views and opinions expressed on the STA’s blog do not necessarily represent those of the Society of Technical Analysts (the “STA”), or of any officer, director or member of the STA. The STA makes no representations as to the accuracy, completeness, or reliability of any information on the blog or found by following any link on blog, and none of the STA, STA Administrative Services or any current or past executive board members are liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. None of the information on the STA’s blog constitutes investment advice.

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