$ETH Greed and Fear: Dancers on the Double-Edged Sword of the Stock Market

—— Jumping Out of the Human Trap to Master the Storm

When the market breaks through the 4000 mark, the panic of those liquidating their positions and the greed of short sellers intertwine once again. Some flee in haste, while others confidently bet on a downturn—yet at this moment, we must ask: is your decision based on rationality, or have you fallen into the cycle of psychological traps?

Source of Fear: Biological Instincts and Cognitive Deficiencies During Declines

The panic of investors during a market crash is not coincidental. From the perspective of evolutionary psychology, fear is a human instinctive response to danger: when accounts shrink, the brain triggers a hormonal mechanism similar to ancient flight responses, forcing you to “do something” to relieve anxiety. A deeper reason is cognitive insufficiency: relying on hearsay for stock selection and lacking understanding of valuation analysis, once the tide goes out, the panic of “naked swimmers” is inevitable. As the warning goes: “When the market declines, your fear may just be an awakening to your own ignorance.”

Fear and Greed Are Like Two Sides of a Coin: $BTC

Fear → Missed Opportunities: Cutting losses during a crash leads to missing the golden buying point when “profit yields soar” (such as index funds becoming more valuable the further they drop);

Greed → Reverse Losses: Holding onto short positions at resistance levels during an uptrend, turning small losses into a catastrophic failure due to “unwillingness to admit defeat.”

What’s even harsher is that the market specifically buys emotions—your selling triggers a rise, and your buying triggers a fall, which is the standard script for institutions to harvest the psychological weaknesses of retail investors. $A2Z

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Mental Training:

Buying Requires Patience: Cash never sleeps, refuse to chase the anxiety of “missing out”;

Selling Requires Determination: Break the mental trap of “running with small profits and holding onto large losses” #eth突破4000