Many people lose money in trading, but fundamentally it's not because they choose the wrong asset or timing, but because they haven't established the correct mental framework. Top traders all use a system — probabilistic thinking.
Simply put, don't focus on whether a single trade wins or loses. The key is the overall expected value for the entire year or quarter. As Gil Black said: "If your win rate can stay steady at 70%, and you make 50 trades a year, it's hard to lose money." This sounds a bit absolute, but the logic holds.
The core of probabilistic thinking lies in balancing two indicators: win rate and payout ratio. Win rate is how accurate your trading signals are, and payout ratio is the ratio of profit to loss. Combining these two properly is the foundation of making money.
Here's a better example for understanding. Suppose a strategy has a win rate of only 40%, which sounds low, but if you can achieve a risk-reward ratio of 3:1 (earning 3 units when profitable, losing only 1 unit when not), the expected value is still positive (0.4×3 - 0.6×1 = 0.6). Conversely, a high win rate strategy isn't necessarily profitable if the payout ratio is too low; over the long term, it can still result in losses.
How to improve win rate? The key is filtering out noise. Don't jump in just because of price fluctuations. Wait until strict conditions are met: the price forms a long shadow candlestick at a key support level, with volume also increasing. These two conditions alone can eliminate many false signals. After discovering a certain pricing pattern, Black spent two full years backtesting data to confirm its stability before risking real money. That’s professional discipline.
Optimizing payout ratio mainly depends on position sizing and stop-loss settings. When you see a potential profit zone, increase your position size. Use pyramid scaling to gradually expand gains. The crucial point is to avoid falling into the "average cost trap" — never add to a losing position, as that’s the Achilles' heel for most retail traders. Stick to the principle of "let profits run and cut losses quickly": let profits grow when you're winning, and exit immediately when losing.
Another very important point: be able to accept losses. Soros once said a classic quote: whether your judgment is right or wrong isn't as important as how you manage risk when you are right or wrong. If you don't have the right mindset, even the best strategy is useless.
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¯\_(ツ)_/¯
· 2h ago
A 70% win rate sounds great, but the problem is that most people can't even reliably stay above 40%.
View OriginalReply0
ChainMaskedRider
· 01-09 22:06
Basically, it's a mindset issue; most people get stuck at the step of adding to their position.
View OriginalReply0
NFTArchaeologis
· 01-09 04:12
Well said, it's like artifact authentication — not about the authenticity of a single item, but about establishing a systematic certification system. Probabilistic thinking, in a sense, is a long-term investigation of on-chain behavior.
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MEVictim
· 01-08 17:50
Honestly, a 70% win rate still sounds too idealistic; it's hardly achievable in actual combat.
Replenishing positions is really a big pitfall; so many people around me have been trapped like this.
Probabilistic thinking is correct, but execution really requires ironclad discipline. I think most people still lack this.
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SignatureVerifier
· 01-08 17:47
70% winrate over 50 trades annually sounds theoretically sound, but the validation methodology here is... insufficient. where's the out-of-sample testing? backtesting alone has critical blind spots nobody mentions.
Reply0
HashRatePhilosopher
· 01-08 17:47
That's right, but most people simply can't do it.
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SignatureDenied
· 01-08 17:37
That's right, mindset is the ultimate dividing line.
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A 40% win rate can still be profitable? I need to recalculate that math.
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The most outrageous thing is the averaging down strategy; I've seen too many people go bankrupt this way.
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Only after two years of backtesting dare to invest real money—that's professionalism, unlike some people jumping in on the bandwagon instantly.
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The key is risk management—how to cut that loss when it happens.
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Having a positive expected value doesn't mean making money every month; many people don't understand this.
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Talking about odds sounds simple, but actually executing it is extremely difficult.
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Soros's words hit home; whether right or wrong doesn't matter, surviving is what matters.
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Probabilistic thinking sounds simple, but sticking to it is ridiculously hard.
View OriginalReply0
LiquidityWitch
· 01-08 17:33
That's true, but it's really difficult. Once more people understand probabilistic thinking, how many can actually implement it?
View OriginalReply0
LiquidationOracle
· 01-08 17:23
That's right, but most people will still chase the high after listening. Mindset is the toughest hurdle.
View OriginalReply0
FUD_Whisperer
· 01-08 17:22
That's right, the key really is mindset and system, not gambling luck.
Many people lose money in trading, but fundamentally it's not because they choose the wrong asset or timing, but because they haven't established the correct mental framework. Top traders all use a system — probabilistic thinking.
Simply put, don't focus on whether a single trade wins or loses. The key is the overall expected value for the entire year or quarter. As Gil Black said: "If your win rate can stay steady at 70%, and you make 50 trades a year, it's hard to lose money." This sounds a bit absolute, but the logic holds.
The core of probabilistic thinking lies in balancing two indicators: win rate and payout ratio. Win rate is how accurate your trading signals are, and payout ratio is the ratio of profit to loss. Combining these two properly is the foundation of making money.
Here's a better example for understanding. Suppose a strategy has a win rate of only 40%, which sounds low, but if you can achieve a risk-reward ratio of 3:1 (earning 3 units when profitable, losing only 1 unit when not), the expected value is still positive (0.4×3 - 0.6×1 = 0.6). Conversely, a high win rate strategy isn't necessarily profitable if the payout ratio is too low; over the long term, it can still result in losses.
How to improve win rate? The key is filtering out noise. Don't jump in just because of price fluctuations. Wait until strict conditions are met: the price forms a long shadow candlestick at a key support level, with volume also increasing. These two conditions alone can eliminate many false signals. After discovering a certain pricing pattern, Black spent two full years backtesting data to confirm its stability before risking real money. That’s professional discipline.
Optimizing payout ratio mainly depends on position sizing and stop-loss settings. When you see a potential profit zone, increase your position size. Use pyramid scaling to gradually expand gains. The crucial point is to avoid falling into the "average cost trap" — never add to a losing position, as that’s the Achilles' heel for most retail traders. Stick to the principle of "let profits run and cut losses quickly": let profits grow when you're winning, and exit immediately when losing.
Another very important point: be able to accept losses. Soros once said a classic quote: whether your judgment is right or wrong isn't as important as how you manage risk when you are right or wrong. If you don't have the right mindset, even the best strategy is useless.