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My Forecast from 10 Years Ago. May 24, 2024. In an interview on May 11, 2014, I explained on USAWatchdog that confidence always outweighs reality. “It’s basically what you believe.
2017年12月14日 · You can step back and use just the Monthly, Quarterly, or Yearly level. The trading performance will vary differently depending on what your objectives are. You can also use combinations of Weekly to the Yearly level. Obviously, anyone soliciting funds management with our model trying to claim they are using Socrates are just not telling the truth.
The Economic Confidence Model, developed by Princeton Economic Intl. Chairman and renowned economist Martin Armstrong, is a wave structure that builds in intensity through six individual waves of 8.6 years that form a major wave of 51.6 years, which in turn builds up once again into a 309.6-year structure.
2024年1月31日 · Spread the love. Exclusive Interview! Martin Armstrong's Socrates 2024 Election and Economic Forecasts -- Part 1. Join Kerry Lutz and renowned economist Martin Armstrong for a captivating discussion centered around the Socrates computer model’s uncanny accuracy in predicting political and market trends since 1985.
Explore the latest posts on our most popular topics. Market Talk. Economics. Upcoming Events. Quick Links: 2024 US Presidential Election Russia-Ukraine War Inflation Economic Confidence Model interest rates Israel-Palestine War Interviews.
“The Forecaster” Film. Spread the love. Now Available on DVD. IMBD Summary: “The story of finance whiz Martin Armstrong reads like a movie script: a man designs a model that can predict the future. He calculates developments in the world economy with eerie accuracy and even the outbreak of wars…
Ask-Socrates is an innovative, software-as-a-service platform offering unique perspective and tools intended to help individuals and organizations better research and interpret the global economic and political environment. Utilizing proprietary models, artificial intelligence and extensive database, this platform is capable of observing every ...
