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#behavioralfinance

behavioralfinance

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notton
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1.7.4 Why does paying with cash sometimes feel worse than paying with a card? Because the act of paying makes the loss feel real You hand over $50 You see it leave your wallet With a card, there's no physical money disappearing: - You tap - Approved - Done The money is still gone But psychologically, the payment can feel less immediate And online, it can become even more abstract. - You don't see money leaving - You see a number on a screen change. That's why sometimes the hardest part of spending isn't the price It's feeling the payment ~ Think before you act #BinanceSquare #ThinkBeforeYouAct #MoneyPsychology #BehavioralFinance
1.7.4

Why does paying with cash sometimes feel worse than paying with a card?

Because the act of paying makes the loss feel real

You hand over $50
You see it leave your wallet

With a card, there's no physical money disappearing:

- You tap
- Approved
- Done

The money is still gone

But psychologically, the payment can feel less immediate

And online, it can become even more abstract.

- You don't see money leaving
- You see a number on a screen change.

That's why sometimes the hardest part of spending isn't the price

It's feeling the payment

~ Think before you act

#BinanceSquare #ThinkBeforeYouAct #MoneyPsychology #BehavioralFinance
Mr Latif king:
it's abstract
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1.7.2 Why do we look for information that agrees with us? - You buy a coin - It starts falling You search: “Why will it recover?” - You find someone bullish - You feel better - You ignore the analyst saying the thesis is broken That's CONFIRMATION BIAS We don't always search for the truth Sometimes we search for evidence that makes us feel right And the more money we've committed, the harder it can become to hear anything else The dangerous question isn't: “Am I right?” It's: “What would prove me wrong?” ~ Think before you act #BinanceSquare #ThinkBeforeYouAct #Psychology #BehavioralFinance
1.7.2

Why do we look for information that agrees with us?

- You buy a coin
- It starts falling

You search:
“Why will it recover?”

- You find someone bullish

- You feel better

- You ignore the analyst saying the thesis is broken

That's CONFIRMATION BIAS

We don't always search for the truth

Sometimes we search for evidence that makes us feel right

And the more money we've committed, the harder it can become to hear anything else

The dangerous question isn't:

“Am I right?”

It's:

“What would prove me wrong?”

~ Think before you act

#BinanceSquare #ThinkBeforeYouAct #Psychology #BehavioralFinance
Subodh Kumar Malviya:
contradictions
The Behavioral Finance Trap Most Crypto Investors Fall Into Crypto markets are uniquely brutal for behavioral finance mistakes. The same cognitive biases that cost stock investors 1-2% annually can cost crypto investors entire cycles. The three most dangerous: Recency bias: After a rally, most portfolios drift toward the assets that already ran. You end up maximally long at peak exposure. The assets worth rotating into are the ones that look boring right now. Disposition effect: Selling winners too early because gains feel fragile, holding losers too long because selling means admitting a mistake. In crypto, this inverts your actual edge. Your winners often have stronger fundamentals. Your losers often have weaker ones. Narrative anchoring: Holding a thesis formed at a different price, different market structure, and different macro environment. Conviction is valuable. Stubbornness is expensive. The honest question is not whether your thesis is still valid. It is whether you would build this position today at today's price. The fix is not willpower. It is process. Pre-set rebalancing triggers, forced thesis revisits at major price moves, and position size rules that do not require in-the-moment discipline. Your edge in crypto is not information. It is behavior. $BTC $ETH $BNB #CryptoTrading #BehavioralFinance #RiskManagement #CryptoInvesting
The Behavioral Finance Trap Most Crypto Investors Fall Into

Crypto markets are uniquely brutal for behavioral finance mistakes. The same cognitive biases that cost stock investors 1-2% annually can cost crypto investors entire cycles.

The three most dangerous:

Recency bias: After a rally, most portfolios drift toward the assets that already ran. You end up maximally long at peak exposure. The assets worth rotating into are the ones that look boring right now.

Disposition effect: Selling winners too early because gains feel fragile, holding losers too long because selling means admitting a mistake. In crypto, this inverts your actual edge. Your winners often have stronger fundamentals. Your losers often have weaker ones.

Narrative anchoring: Holding a thesis formed at a different price, different market structure, and different macro environment. Conviction is valuable. Stubbornness is expensive. The honest question is not whether your thesis is still valid. It is whether you would build this position today at today's price.

The fix is not willpower. It is process. Pre-set rebalancing triggers, forced thesis revisits at major price moves, and position size rules that do not require in-the-moment discipline.

Your edge in crypto is not information. It is behavior.

$BTC $ETH $BNB

#CryptoTrading #BehavioralFinance #RiskManagement #CryptoInvesting
No matter how good the system, once it's handed over to 'human default settings', the long-term chart will look ugly. First, lock in 5–8 high-frequency traps: - Overconfidence: The more you lose, the more you want to stack; - Loss aversion: Holding onto losses way too long; - Anchoring: Fixating on the entry price and refusing to admit mistakes; - FOMO: Fear of missing out, blindly following the crowd; - Disposition effect: Taking small profits quickly but holding onto losses; - Confirmation bias: Only looking at information that supports your viewpoint. Write one counter-rule for each bias and stick it on your Checklist; it's worth more than an extra indicator. #behavioralfinance #BTC #BTC暴跌原因 #可以抄底了码
No matter how good the system, once it's handed over to 'human default settings', the long-term chart will look ugly.

First, lock in 5–8 high-frequency traps:
- Overconfidence: The more you lose, the more you want to stack;
- Loss aversion: Holding onto losses way too long;
- Anchoring: Fixating on the entry price and refusing to admit mistakes;
- FOMO: Fear of missing out, blindly following the crowd;
- Disposition effect: Taking small profits quickly but holding onto losses;
- Confirmation bias: Only looking at information that supports your viewpoint.

Write one counter-rule for each bias and stick it on your Checklist; it's worth more than an extra indicator.
#behavioralfinance #BTC #BTC暴跌原因 #可以抄底了码
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