Dear Members,
Enjoy this small first part from the first sections of this week's newsletter.
Automated, AI-driven trading tools will dominate the market. Will common investors be able to beat these sophisticated tools?
Dear Members,
First sections of this letter must be read carefully: The behaviour of the U.S. market and U.S. stocks has been very unusual over the last four months. This has made me both cautious and slightly unsettled, as markets typically move with the waves of nature and human behaviour patterns driven by astro-cycles.
It has now been almost 50 years since I began studying astro-cycles with my maternal grandfather at age 8. Last year, I turned 58. During this long journey of understanding astro-cycles, I have consistently come close to anticipating future financial market movements and the behaviour of the large financial community. A few times, I misinterpreted because certain combinations of astro-cycles were new to me and less or more influential than expected, and smaller waves occasionally displaced larger waves. Continuous daily market writing for more than three decades has been part of this learning process.
Now, let me come to the reason for my concern:
Human action appears to be losing influence as machine-driven trading takes over. Algorithms, automated trading systems, and AI models now execute trades for funds and investors. Decisions are increasingly being made by machines operating on defined parameters rather than emotion.
Large capital from hedge funds, banks, and institutions is moving rapidly in and out of markets without human sentiment. Over the last 48 hours, I have begun attempting to decode how machines will behave in the coming days and how automated trading will shape market movement. This is difficult, but not impossible, because machines ultimately follow instructions created by humans.
The common point is simple: every machine or automated trading system is designed to make money from market movements. My theory has always been based on human behavior patterns influenced by astro-cycles. Now the question is how machine behavior integrates into that framework.
My effort to understand this began today, on the day of Mahashivaratri, to analyze how machines/AI act in the market. I am already forming a bridge theory between human psychology and machine decision-making. It should not be overly difficult because machines, models, and systems also compete with one another.
For the past four months, I have observed machines effectively trading against each other. Short-term swings are becoming sharper without clear fundamental drivers. Fundamentals are losing influence in the race to generate profit, and speculation is rising dramatically. Regardless of earnings quality, prices increasingly move according to machine behavior.
Machine power comes from capital and strategy. Markets may move against the majority, and prices can deviate far beyond fundamental value, making conventional logic appear ineffective. Traditional technical chart pattern trading alone will struggle in this machine-dominated era.
However, this also creates an opportunity. We do not need to defeat the machine; we need to act before it. I am developing a strategy that will integrate machine behavior patterns into astro-cycle analysis, along with human behavior patterns.
Final note: Major global events and long-term predictions will still unfold according to astro-cycles. Short-term movements in stocks, commodities, currencies, and crypto will become extremely volatile, requiring either caution or quick action. Nothing is impossible; we will decode this phase soon. As a student of astro-cycle theory, I humbly say that no existing market theory has come close to the accuracy of our long-term forecasting astro-cycle theory.
Until then, remain light traders and avoid margin trading for the next four to eight weeks. Long-term book predictions remain unchanged, but weekly and daily letters will become increasingly important. Follow the weekly newsletter carefully and make short-term decisions accordingly. Daily Flash News will be critical for quick in-and-out trade.
Following our yearly book, “2026 Financial Predictions,” can give you an overall outline, which will help you beat machines, because machines can only plan on what is happening now; they can’t plan for May, September, or December, but our book has all the strategies. What amazing predictions and outcomes were provided for metals, markets, and every area!
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Thanks & God Bless
Mahendra Sharma