Most prediction market participants haven't made any money.

Ask AI · How does Ray Dalio’s All-Weather strategy deal with market uncertainty?

Today’s Market

On March 31, China’s A-share three major indexes all fell together. By the close, the Shanghai Composite fell 0.8% to 3,891 points, the Shenzhen Component fell 1.81%, the ChiNext Index plunged 2.7%, and the STAR 50 Index fell 2.59%. Total turnover across the market expanded to 2.01 trillion yuan, an increase of 78.3 billion yuan versus the previous trading day, and nearly 4,400 stocks fell.

On the trading screen, the banking sector rose against the trend, up 0.72%. The annual reports of the six major banks showed combined net profits of about 1.42 trillion yuan. For the full year, companies planned to distribute dividends of more than 400 billion yuan. The CRO concept surged; Kailaiying hit the daily limit, and the market interpreted that the leading company’s performance beating expectations as a signal of an industry inflection point. The rail transit equipment sector strengthened as well; shares hit daily limits in multiple cases, catalyzed by investment of more than 500 billion yuan in the Yangtze River high-speed railway. In contrast, coal stocks fell 3.67%, and sectors such as power equipment and electronics also declined by more than 2%.

On the macro front, March’s PMI came in at 50.4%. After two months, it returned to the expansionary range, but the market response was restrained; external uncertainty remains the main factor suppressing risk appetite.

What’s most important is not prediction, but reasonable response

In the book Principles: Addressing Changes in the World Order and in multiple public interviews, Bridgewater Fund founder Ray Dalio once described his investment philosophy like this: “The most important thing isn’t to know the future, but to know how to make a reasonable response to the information available at each point in time. The value of prediction isn’t very high, and most people who make predictions don’t make money in the market… The reason is that nothing is certain. In other words, we are not predicting changes in the economic environment and then adjusting our portfolios based on those predictions. Instead, we capture them when the changes occur and continuously adjust what we invest in, so that our investments are always focused on the markets performing best at that time.”

This passage lays bare a core proposition in investing that is often misunderstood: prediction is not the goal; response is.

First, look at the methodology. Dalio said outright that most people who make predictions do not make money in the market. The reason is simple—nothing is certain. Economic data, geopolitical events, and policy directions: even a small disturbance in any one variable can change the original trajectory. Trying to use linear thinking to predict a nonlinear world is, in itself, futile. Early in his investing career, he learned a proverb: “People who live by a crystal ball are destined to eat shattered glass.” This line has been repeatedly proven true.

This is not denying the value of analysis; it is demystifying “certainty.” True professionalism is not about being able to predict tomorrow more precisely; it lies in clearly recognizing “I don’t know what I don’t know” and being prepared for it. Dalio acknowledged that even with 50 years of investing experience and a large research team, his prediction error rate is still high—at least one-third of his judgments still do not match market expectations. Admitting ignorance is precisely the starting point of wisdom.

Next, look at the response system. If you don’t rely on prediction, then what do you rely on? Dalio’s approach is: when changes happen, capture them and continuously adjust what you invest in, so that your investments are always focused on the markets performing best at that time. The essence of this sentence is “capturing,” not “predicting.” When a trend forms, it often has already reflected the consensus of many market participants and the flow of capital. Rather than guessing when a reversal will happen from the bottom, it’s better to follow the trend once it’s established. This is not chasing or selling in a panic; it is acknowledging market efficiency and respecting price signals.

Even more thought-provoking is his “biologist meets an animal” metaphor. When an experienced biologist encounters an unfamiliar animal in the jungle, he doesn’t panic, and he doesn’t make guesses out of thin air about what it will do next. He first observes the animal’s characteristics, identifies its species, draws on existing knowledge, and then makes a reasonable response—hide when it should be avoided, take a detour when it should be detoured, and confront when it should be confronted. If investors treat every market fluctuation as a “reappearance of similar situations,” they won’t make irrational decisions in confusion.

Dalio further systematized this way of thinking into an “All-Weather strategy.” By studying the past 500 years of history, he identifies several key factors that drive market and economic activity—growth, inflation, risk premia, and discount rates—and builds a portfolio that can remain relatively resilient across different environments. The essence of this methodology is not to try to get the direction right every time, but to ensure that you won’t be knocked out in any environment.

Finally, look at practical wisdom. Dalio’s philosophy of response ultimately lands in a set of executable risk-management framework. He proposes the concept of “Holy Grail of investing”: by finding 15 or more outstanding investment instruments that are not correlated with each other, you can reduce risk by 60% to 80% without lowering expected returns. This is an insight grounded in mathematics and statistics—reducing correlation protects a portfolio more than any perfectly precise prediction.**

He also emphasizes the importance of rebalancing: when the price of a certain asset class rises, reduce part of the positions in a timely manner and move the funds to other asset categories to maintain the portfolio’s long-term balance. This kind of disciplined action is, in essence, a form of “passive response”—it does not rely on judgments about the future, but on executing established rules.

Dalio’s entire way of thinking essentially builds a repeatable response framework on the premise of uncertainty. It does not aim to get everything right every time; it aims to make “not-bad” decisions in most situations. In the long run, this kind of “right process” is far more reliable than “right outcomes only sometimes.” This also explains why Dalio can get through multiple economic cycles—he doesn’t rely on prediction; he relies on a system for responding to change.

As he put it, “After accumulating more experience, I started to treat each encounter as a ‘reappearance of similar situations,’ and I’m able to respond in a calmer, more rigorous way.”

Investment Words of Advice

Investing is like planting a tree: the best time is ten years ago, and the next best time is now. Don’t let short-term storms and rain disrupt your mindset; focus on the growth of a company’s intrinsic value. Time rewards patient capital that is willing to grow together with the company.

Note: The market involves risk; investing requires caution. This article is compiled based on publicly available information and does not constitute any investment advice.