搜尋結果
The Daily Bullish in the cash Euro for today’s close are 12977 and 13134. The Weekly Bullish are 13134 and 13433. This corresponds with the top of the technical channels. The monthly levels also show the first resistance at 13140 and 13370.
2020年6月12日 · Posted Jun 12, 2020 by Martin Armstrong |. Spread the love. QUESTION: Mr. Armstrong; Hong Kong is the source for US dollars for China. If Trump imposes serious sanctions, this would actually lead to a shortage of dollars in Asia. What do you see as a possibility in the middle of this madness? HJ.
Everything is connected in an intricate dynamic nonlinear network where the slightest change in one region can set in motion a ripple effect of dramatic proportions around the world. Understanding this dynamic nonlinear global network is the first step in restructuring government and our idea of managing our political-social-economy.
2023年12月17日 · In this interview between Kerry Lutz and Martin Armstrong, a different format was used. Martin took questions from the FSN community, covering a wide range of topics, including the US Debt clock, gold, China’s future, inflation, interest rates, and the impact of fraud on the system.
Model Overview. Within Western culture, the mere concept of economic activity taking the form of cyclical patterns of regularity is often dismissed as if it were a legend of ancient Atlantis or some mystic cult. The majority cling to the idea that economic trends and market movements are completely random occurrences within a constant state of ...
2012年9月7日 · Understanding the Trading Model. September 7th, 2012. The primary objective of creating a model is to defeat your own personal emotions. At highs and lows, the average person gets swept away in the euphoria. At tops, the charlatans come out and predict it will never end. At the bottom, the news is so pessimistic you think it will never reverse.
2017年11月26日 · The Forecaster, DVD (Documentary Film) $ 29.99. This is a documentary film focusing on the story of Martin Armstrong, a world-renowned global economist who developed a computer model based on the number Pi and other cyclical theories to predict economic turning points with eerie accuracy.
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