Legendary economic forecaster and pro-freedom advocate Martin Armstrong once again appears on the Outer Limits of Inner Truth Podcast to discuss: The neoconservative agenda and the likelihood for war with Russia, Political corruption in Ukraine and the impact on global perception of the United States, And why the 2023 Financial Crisis is colliding with important cyclical targets regarding war, which may result in a two-prong panic of unprecedented significance. Martin also shares his perspective on Alan Turing’s groundbreaking work on the mathematical order behind Morphogenesis and offers an updated outlook on how the US will breakup.
The Perfect Storm with Martin Armstrong
About Martin Armstrong
Martin Armstrong is a legendary economic forecaster, pro-freedom advocate, and a brilliant observer of history and human nature. Once a US based trillion dollar financial advisor, Martin developed a computer model based on the number pi and other cyclical theories to predict economic turning points with eerie accuracy (he predicted the October 1987 Black Monday crash to the very day and the Russian financial collapse in 1998). In the early 80s he established his financial forecasting and advising company Princeton Economics. His forecasts were in great demand worldwide. As Armstrong’s recognition grew, prominent New York bankers invited him to join “The Club” to aid them in market manipulation. Martin repeatedly refused he was put in a cage for over ten years (see 2014’s documentary “The Forecaster” – https://theforecaster-movie.com/).
Learn more about Martin here: https://www.armstrongeconomics.com/about/1113-2/
Website Link: https://www.armstrongeconomics.com/
Special VOD: The Forecaster – The Story of Martin Armstrong (English) from Marcus Vetter (Filmperspektive) on Vimeo.
Martin Armstrong interview 2023, fall of the United States, financial collapse, Economic Confidence Model, Business cycles, Gold standard, Market behavior, Financial forecasting, Artificial intelligence, Currency prices, Oscillations of the economy, Real estate market, Stock market, Institutional cash market, Global model, Pi cycle, Financial markets, Precious metals, Investment strategy, Financial analysis, Trading desks, Historical market events, Economic history
