Apollo

[Chainlink @chainlink]

The quiet shift.

[Apollo @kurstee17]

@puppies_video hi

[Apollo @kurstee17]

@Lyraworldxm wow nice sky

[Apollo @kurstee17]

@thewitcher hi

[Apollo @kurstee17]

@siezziee hi

[DAN KOE @thedankoe]

https://t.co/CdLm1xoOAb

[J trader @jtrader]

https://t.co/a4186VY5bT

[NotFinancialAdvice.Crypto @NFAdotcrypto]

I randomly checked hex color #589589… and it’s basically the SWIFT color scheme 🤯

[Apollo @kurstee17]

@joseftrades trading requires teamwork.

[L2WTrades @L2WTrades]

I traded the same strategy with 7 different risk percentages for 100 trades each

0.5%, 1%, 1.5%, 2%, 2.5%, 3%, 4% per trade

The results will change how you think about position sizing forever

Here's the optimal risk percentage backed by 700 trades of data:

The experiment setup:

- Same strategy across all tests
- Same entry rules
- Same exit rules
- 100 trades per risk level
- Same market conditions (6 months)
- Only variable: Risk per trade

The hypothesis: Higher risk = higher returns

The reality: It's not linear

Here's what actually happened:

0.5% RISK PER TRADE:
- 100 trades
- Win rate: 59%
- Max drawdown: 3.2%
- Final return: +14.8%
- Largest loss: -0.5%
- Psychological stress: Low
- Quit probability: 0%

1% RISK PER TRADE:
- 100 trades
- Win rate: 58%
- Max drawdown: 6.7%
- Final return: +31.4%
- Largest loss: -1%
- Psychological stress: Low-Medium
- Quit probability: 5%

1.5% RISK PER TRADE:
- 100 trades
- Win rate: 57%
- Max drawdown: 11.3%
- Final return: +48.9%
- Largest loss: -1.5%
- Psychological stress: Medium
- Quit probability: 15%

2% RISK PER TRADE:
- 100 trades
- Win rate: 54%
- Max drawdown: 17.8%
- Final return: +52.1%
- Largest loss: -2%
- Psychological stress: Medium-High
- Quit probability: 35%

2.5% RISK PER TRADE:
- 100 trades
- Win rate: 51%
- Max drawdown: 24.6%
- Final return: +41.3%
- Largest loss: -2.5%
- Psychological stress: High
- Quit probability: 58%

3% RISK PER TRADE:
- 100 trades
- Win rate: 48%
- Max drawdown: 31.2%
- Final return: +28.7%
- Largest loss: -3%
- Psychological stress: Very High
- Quit probability: 73%

4% RISK PER TRADE:
- 100 trades
- Win rate: 44%
- Max drawdown: 43.8%
- Final return: -12.4%
- Largest loss: -4%
- Psychological stress: Extreme
- Quit probability: 94%

The pattern is clear:

Risk 0.5%-1.5%: Win rate stable, returns increase proportionally
Risk 2%-2.5%: Win rate drops, returns peak then decline
Risk 3%-4%: Win rate collapses, returns become negative

Why does win rate drop with higher risk?

PSYCHOLOGY BREAKDOWN:

At 0.5% risk:
- Losing doesn't hurt
- Easy to follow system
- No emotional interference
- Execute perfectly

At 2% risk:
- Losses sting
- Start questioning system
- Emotional interference begins
- Exit winners early (fear of giving back)
- Hold losers longer (hope of recovery)

At 4% risk:
- Every loss is painful
- System abandoned after 2-3 losses
- Full emotional chaos
- Revenge trading kicks in
- Random position sizing
- Complete system breakdown

You're not executing the same strategy at 4% risk

You're executing an emotional disaster

The optimal risk percentage:

Based on 700 trades across 7 risk levels:

BEST RISK-ADJUSTED RETURN: 1.5%
- Highest absolute return: +48.9%
- Manageable drawdown: 11.3%
- Sustainable psychology: Medium stress
- Win rate preservation: 57%

BEST FOR BEGINNERS: 1%
- Solid return: +31.4%
- Low drawdown: 6.7%
- Low psychological stress
- Win rate preservation: 58%

DEATH ZONE: 3%+
- Returns collapse
- Drawdowns explode
- Psychology destroyed
- Account blown inevitable

The risk/drawdown relationship:

0.5% risk → 3.2% max drawdown (6.4X multiplier)
1% risk → 6.7% max drawdown (6.7X multiplier)
1.5% risk → 11.3% max drawdown (7.5X multiplier)
2% risk → 17.8% max drawdown (8.9X multiplier)
3% risk → 31.2% max drawdown (10.4X multiplier)

The multiplier increases exponentially

Why?

Because losing streaks exist

At 58% win rate:
- 6-trade losing streak: Statistically expected every 100 trades
- 8-trade losing streak: Possible every 200 trades
- 10-trade losing streak: Rare but happens

10 losing trades at different risk levels:

0.5% × 10 = 5% drawdown (survivable)
1% × 10 = 10% drawdown (manageable)
1.5% × 10 = 15% drawdown (uncomfortable)
2% × 10 = 20% drawdown (scary)
3% × 10 = 30% drawdown (panic mode)
4% × 10 = 40% drawdown (blown account psychology)

Your system WILL hit losing streaks

Question is: Will you survive them?

The return-per-unit-of-stress:

0.5% risk: +14.8% return / Low stress = Good ratio
1% risk: +31.4% return / Low-Med stress = Great ratio
1.5% risk: +48.9% return / Medium stress = Best ratio
2% risk: +52.1% return / Med-High stress = Declining ratio
3% risk: +28.7% return / Very High stress = Bad ratio
4% risk: -12.4% return / Extreme stress = Terrible ratio

The sweet spot: 1-1.5% risk

Maximum returns without destroying psychology

The actual implementation:

BEGINNER (0-200 trades live experience):
Use 0.5-1% risk
Focus on execution
Build psychological capital
Profits are secondary

INTERMEDIATE (200-500 trades):
Use 1-1.5% risk
Scale up slowly
Prove psychological readiness
Lock in profits

ADVANCED (500+ trades, proven edge):
Use 1.5% risk maximum
Never go higher
Resist temptation to "make more"
Consistency over home runs

NEVER USE:
2.5%+ risk
Even if you "can handle it"
The data shows you can't
Nobody can

The prop firm context:

Prop firms typically allow 4% daily loss

If you risk:
- 0.5%: Takes 6 losing trades to hit limit (survivable)
- 2%: Takes 2 losing trades to hit limit (dangerous)
- 3%: Takes 1 losing trade to hit limit (death)

At 3% risk, two consecutive losses = near daily limit

Panic sets in
Revenge trade taken
Account blown

The "make money faster" trap:

You think: "If I risk 3% instead of 1%, I'll make money 3X faster"

Reality: You'll blow account 5X faster

Because psychology breaks at high risk

And broken psychology = broken trading

The traders making real money:

Risk 0.5-1% per trade (depending if you are on eval, funded or live)
Boring position sizing
Consistent execution
Compounding for years

The traders blowing accounts:

Risk 3-5% per trade
"Aggressive" position sizing
Emotional execution
Blown in months

Choose your path

The data is clear:

1-1.5% risk = Optimal returns with manageable psychology

Anything higher = Chasing ret

It's about whether you'll still be trading in 6 months

Risk 1.5% and you will be

Risk 3% and you won't

DM me "RISK" if you want help calculating YOUR optimal risk percentage based on YOUR account size, YOUR psychology, and YOUR risk tolerance

[ThuanCapital @ThuanCapital]

Bạn đang sống trong khoảnh khắc 100 năm mới có một lần, và hầu hết mọi người không nhận ra 👇

Nếu nhìn lại toàn bộ lịch sử nhân loại, chúng ta sẽ thấy một điều thú vị, loài người không phát triển theo đường thẳng, mà theo những bước nhảy đột phá. Mỗi bước nhảy xuất hiện khi một công nghệ mới ra đời, và nó không chỉ làm tăng năng suất hay tiện ích, mà còn thay đổi cả trật tự xã hội, kinh tế và quyền lực.

https://t.co/djCpsqk1sQ

[Marco @Marco_Acortes]

Corona virus....its coming

[Apollo @kurstee17]

@RealChiefPriest Congratulations to me, I did it!!

[Trader Mike @tradermike1234]

Every single wealthy family started poor

ALL OF THEM

But then there was one badass mfer in the bloodline who decided this is not going to be our destiny

Locked in and made it happen and setup generations to come

You're that mfer

[Apollo @kurstee17]

@reeyah_sa no leverage

[Apollo @kurstee17]

@reeyah_sa @I_Am_The_ICT

[Apollo @kurstee17]

@codegamedotfun @solanagaming @solana i'm ready

[Apollo @kurstee17]

@codegamedotfun let me in

[Apollo @kurstee17]

@quilix @sportfun LFG 🇻🇳🚀🚀

[Apollo @kurstee17]

@pudgypenguins pengu morning