Why does the market always rise when most people are bearish?

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You've likely seen it recently—opening QQ or other apps, the screen is flooded with "bear market is here" and "sell everything" sentiments, leading you to panic and cut losses, only to see the market reverse upward the next day, missing the entire rally. This phenomenon repeats constantly in the crypto market, becoming what many veterans call "superstition." In reality, there's a complete set of market psychology and capital game logic behind it. This article will break down the underlying principles of "why the market often rises when most are bearish," and combine the latest on-chain data from 2026 to help you take the initiative in the emotional game.

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1. The Market Never Lets the Majority Make Money

Why does "most people being bearish" often become a contrarian indicator? The answer is simple: In any game market, the minority always makes the money. This rule is especially evident in the crypto market, where there is no central regulation, and prices are entirely determined by the capital game between buyers and sellers.

Imagine this scenario: When the market is widely bearish, it means most retail investors have already sold their positions or are shorting. So who are the potential buyers? Precisely those still holding cash—including smart money that exited early, institutional funds waiting on the sidelines, and whales positioning against the trend. When selling pressure dries up and buying starts to enter, prices are naturally pushed higher.

Conversely, when most people are bullish, it indicates that most capital has already entered the market, with no new buyers to take over, making the market prone to topping out and falling. This is the so-called "contrarian trading" or "value investing"—being greedy when others are fearful, and fearful when others are greedy.

2. The Extreme Trap of Group Sentiment

After understanding the principle, we need to further analyze the psychological causes of the "most people are bearish" phenomenon. Market sentiment becomes a contrarian indicator because group sentiment itself has a self-reinforcing characteristic.

1. The Spiral Transmission of Fear

When the market starts to decline, the first wave of panic selling emerges, accelerating the price drop; the second batch of holders sees their losses widen and also sells; the third batch is forced to exit due to liquidated leveraged positions. This process forms a complete "fear chain":

  • Price drop triggers stop-loss orders, increasing sell pressure

  • Increased sell pressure leads to further price drops, triggering more stop-losses

  • Shorts in the futures market become profitable, longs are liquidated

  • Social media is filled with "crash" rhetoric, sentiment hits rock bottom

When this chain runs to its extreme, the market enters the "extreme fear" zone. According to historical data from the Crypto Fear & Greed Index, when the index drops below 25, it often corresponds to a market bottom. In March 2026, the index fell to 8, entering the "extreme fear" zone, after which the market experienced a corrective rebound.

2. Market Structure at the "Capitulation" Moment

There is a classic concept in market psychology called "capitulation selling." Its characteristics are: a sharp increase in trading volume, rapid price decline, and retail investors leaving the market at any cost. This is exactly what happened between February 25 and 26, 2026—Bitcoin rebounded from the $62,000 area to $69,487, with a single-day global short liquidation volume of up to $468 million.

The formation process of these short positions is as follows: As prices continue to fall, more and more traders believe the trend will continue, so they open short positions. When short positions become "crowded," any small amount of buying can trigger a rapid price rebound, causing shorts to hit stop-losses and get liquidated. The liquidation itself becomes a buy order, further pushing prices higher, creating a chain reaction.

This is precisely why the market always reverses when "most people are bearish"—because the "majority" has already positioned themselves against the market, and their stop-losses and liquidations become the driving force for the reversal.

3. The Game Between Whales and Retail Investors

The psychological transmission of fear is only part of the story. What truly drives the market is the capital game behind it. There are always two forces in the market—trend-following retail investors and contrarian-positioning whales. Understanding their behavioral differences is essential for reading the market.

1. The "Buy High, Sell Low" Pattern of Retail Investors

Retail capital behavior follows a predictable pattern: chasing highs when the market rises (FOMO) and panic selling when it falls. Binance user statistics show that retail investors who chase rallies and sell during downturns lose an average of 43%. Why does this happen? Because retail investors often make decisions based on "recent price trends"—if it goes up, they think it will continue; if it goes down, they think it will keep falling. This linear thinking might work in trending markets but repeatedly backfires in choppy and reversal markets.

In February 2026, as Bitcoin fell from its highs, a large number of retail investors joined the short side. According to Coinglass data, global short positions accumulated to historical highs. These shorts believed "the downtrend is confirmed," ignoring that the market was already oversold. The result was the scene mentioned earlier—prices rebounded, shorts were "squeezed," and $468 million vanished.

2. Whales' Contrarian Accumulation

In stark contrast to retail investors' trend-chasing behavior, whales often enter the market when it is most fearful. On February 25, 2026, Bitcoin spot ETFs recorded a net inflow of $257.7 million, the largest single-day inflow since February 6. This data indicates that institutional capital began to see Bitcoin as having allocation value around the $60,000 level.

Why do whales dare to buy when "most people are bearish"? Because their decisions are not based on "what others think," but on objective valuation metrics and on-chain data. When prices break below the 200-day moving average and the RSI falls below 30, these signals are not "escape" signals in the eyes of whales, but opportunities for "phased positioning".

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4. How to Gauge the Sentiment of the "Majority"

After understanding the principles, the next question is: How do we identify moments when "most people are bearish" in actual trading? The following quantitative indicators can help you make objective judgments rather than relying on feelings.

1. The Fear & Greed Index

This index synthesizes data from multiple dimensions including volatility, market momentum, social media sentiment, and Google search trends, quantifying market sentiment into a value from 0 to 100. According to CZ's advice, when the index is below 25 (extreme fear), it is suitable for phased buying; when above 75 (extreme greed), it is suitable for phased profit-taking.

In March 2026, the index fell to 8, entering the "extreme fear" zone. Although the market did not immediately surge afterward, historically, this level represents an extreme sentiment zone where the downside for further selling is limited.

2. Funding Rate

In the perpetual futures market, the funding rate reflects the balance of power between longs and shorts. When the funding rate is negative, it means shorts are paying longs, indicating more people are shorting the market; when positive, the opposite is true.

Historical experience shows that when the funding rate is persistently negative and at extreme levels, it is often a signal of overcrowded shorts, making a short squeeze likely. In the days leading up to February 25, 2026, the funding rate remained in negative territory, followed by the short squeeze that liquidated over $400 million.

3. RSI and Moving Average Systems

From a technical analysis perspective, the following two indicators can help you identify "overly pessimistic" timing:

  • RSI (Relative Strength Index) below 30: When the RSI drops below 30, it indicates the market is oversold and may see a technical rebound in the short term.

  • Price breaks below the 200-day moving average: When the price breaks below the 200-day moving average and is significantly far from it, it often means the market has overreacted, increasing the likelihood of a mean reversion.

5. Market Validation in 2026: Case Study of a Short Squeeze

With the theory covered, let's look at two real cases from the 2026 crypto market. This data can help you more intuitively understand the phenomenon of "the market rising when most are bearish."

Case 1: The Short Squeeze of February 25-26

After several consecutive days of decline, Bitcoin strongly rebounded from the $62,000 area on February 25, reaching a high of $69,487, a gain of over 10%. Ethereum performed even stronger, starting from around $1,800 and surging over 12%, reclaiming the psychological $2,000 level.

What was the core driver of this rebound? Coinglass data provides the answer: the total global liquidation volume in 24 hours reached $576 million, with short positions contributing $468 million, accounting for over 81%. This means the main force driving the price increase was not new capital entering the market, but the buying pressure from forced short covering—the shorts themselves became the fuel for the price rise.

Case 2: The $90,000 Level Battle in Early January

In early January 2026, after six weeks of consolidation, Bitcoin broke through the $90,000 level, recording a 2.8% gain at the start of the year, accompanied by a single-day short liquidation record of $326 million. Similarly, before the rally, market sentiment was in the "fear" zone, and the funding rate turning positive triggered a chain of short covering.

However, it's important to note that this rally was later characterized by some analysts as a "bull trap." Although the price stood above $90,000, structural contradictions such as declining whale address balances and sluggish ETF inflows remained unresolved. This shows that for a sentiment-driven reversal rally to be sustained, it requires fundamental support.

6. Strategies for Beginners: How to Profit from "Contrarian Sentiment"

After understanding the principles and identification methods, the most crucial part is how to apply them in actual trading. Here are some operational suggestions suitable for beginners:

  1. Incorporate sentiment indicators into your decision-making framework: When the Fear & Greed Index falls below 25, don't panic and sell. Instead, view it as a signal that "market sentiment has reached an extreme," and combine it with technical indicators to look for phased buying opportunities.

  2. Pay attention to extreme funding rate values: When the funding rate is persistently negative and at historical lows, it indicates overcrowded shorts. Chasing shorts at this point carries high risk, making it a window to observe long opportunities. But note: a negative funding rate does not mean an immediate rebound; it is merely a warning signal of "market structure imbalance."

  3. Create an emotional checklist: Before making a trading decision, ask yourself three questions: What do most people on social media think about this market? Is my current emotion fear or greed? Am I following the crowd or making an independent judgment? If the answer is "most are bearish" and "I am also very fearful," this might be the time to think calmly.

  4. Avoid using high leverage: In emotionally extreme market environments, price fluctuations can be very violent. Using high leverage means you cannot withstand normal volatility and are likely to be forced out just before the turn. For beginners, spot trading is the safest choice.

  5. Operate in batches, not all at once: No one can perfectly buy at the lowest point and sell at the highest. In the "most people are bearish" zone, using a phased buying approach (e.g., dividing capital into 3-5 portions and entering as prices fall further) can average out costs and reduce timing pressure.

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Frequently Asked Questions

Q1: Can I blindly buy just because "most people are bearish"?

No. "Most people are bearish" is just a signal, not an absolute trading instruction. It needs to be cross-validated with other indicators (like RSI oversold, extremely negative funding rate, price far from moving averages, etc.). More importantly, you need to make decisions based on your own capital situation and risk tolerance. Never blindly buy the dip just because "everyone else is bearish."

Q2: What is different about the market environment in 2026?

The 2026 crypto market faces several special backgrounds: global geopolitical tensions, fluctuating inflation expectations, and uncertain Federal Reserve policies. These macro factors make market sentiment more fragile, and any small trigger can cause violent fluctuations. In such an environment, the effectiveness of the "contrarian sentiment" strategy may be diminished, as macro variables can overwhelm sentiment cycles. Therefore, in addition to sentiment indicators, you also need to pay attention to macro liquidity indicators like ETF capital flows and stablecoin supply.

Q3: What if "most people are bearish" but the market continues to fall?

This situation can indeed happen. "Most people are bearish" only indicates that sentiment is extreme, but it does not mean prices will reverse immediately—the market can continue to drift lower in extreme fear for weeks or even months. Therefore, sentiment indicators are better used to determine "whether to enter the observation zone" rather than as a trigger for "buy immediately." It is recommended to combine this with a phased position-building strategy rather than investing all capital at once.

Q4: How to avoid being influenced by social media sentiment?

Voices on social media often suffer from "survivorship bias"—those who make money rarely speak, while those who lose money complain daily. It is recommended that you control your time spent in chat groups and only check market conditions and information at fixed times. Additionally, using on-chain data and quantitative indicators instead of "feelings" can help you make more objective judgments.