Managing Trading Losses: Why You Can Be Wrong and Still Win Big in Trading
ACY Securities - Jasper Osita
Managing Trading Losses: Why You Can Be Wrong and Still Win Big in Trading
🎯 Goal of This Lesson
To help you understand why profitability in trading isn’t about being right all the time—but about risk management, position sizing, and letting your winners run when the market proves your idea right (even if it didn’t look that way at first).
✅ By the End of This Lesson, You Should Be Able To:
- Shift your mindset from “needing to be right” to “managing what happens when you’re wrong”
- Build strategies that stay profitable even with low win rates
- Use techniques like partials and scaling to control risk and maximize potential
🧠 Opening: A Lesson That Changed Everything
"It doesn’t matter if you’re right. The real question is — did you make money?"
That’s what my mentor drilled into us, over and over again.
At first, I didn’t get it. I was obsessed with calling tops and bottoms, nailing entries, proving I could “predict” the market. But I kept losing money — even when I was “right.” Why?
Because being right about direction means nothing if your execution, risk, and management don’t match.
Trading isn’t just a test of your ego. It’s a test of your ability to survive being wrong — and to make the most out of being right.
Eventually, I realized: The market doesn’t reward accuracy. It rewards process, consistency, and the ability to manage both chaos and opportunity.
🔍 Real-Life Analogy
Imagine you're a baseball player. You don’t need to hit every pitch—you just need to swing smart, protect your strike zone, and run hard when you do connect.
Trading is the same. You won’t catch every move. You’ll even enter early or late. But if you manage the downside and hold onto the ones that run—you win.
🧠 The Trader's Trap: Wanting to Be Right
Most traders:
- Need validation from the market
- Avoid losses at all costs
- Chase perfection in execution
But in reality?
Being wrong is inevitable. Losing is part of the business.
What matters is how you lose and how big you win.
⚠️ The Dangerous Trap of Needing to Be Right
- You’ll hold losing trades hoping they come back
- You’ll avoid taking setups because they don’t “feel perfect”
- You’ll overreact when a bias is invalidated
- You’ll measure your worth based on win rates
👉 But winning traders don’t care about being right. They care about getting paid.
⚠️ Your Win Rate Doesn't Matter as Much as You Think
| Scenario | Win Rate | Avg Win | Avg Loss | Outcome |
|---|---|---|---|---|
| Trader A | 80% | $100 | -$90 | Breakeven or worse |
| Trader B | 40% | $400 | -$100 | Consistently profitable |
You can be “wrong” more often and still come out ahead—if your winners outweigh your losers.
🧪 Key Concepts to Track Instead of Just Win Rate
- R-Multiple: How many “Rs” (risk units) does a trade return?
- Expectancy: Profitability over time (Average Win × Win Rate – Average Loss × Loss Rate)
| Focus On | Not On | |
|---|---|---|
| Risk management | Win rate | |
| Position sizing | Entry precision | |
| Scenario planning | Directional prediction | |
| Adaptability | Ego attachment |
⚔️ Build a Model That Thrives on Imperfection
When using the SMC system, you can:
- Set tight stops just beyond FVGs or liquidity zones
- Expect to be wrong often—but limit loss
- Let winners run to the next external liquidity zone (ERL)
- Adjust your model for partial profits and re-entries
This is not about perfection—it's about system efficiency.
🔧 Techniques to Manage Trade When You Are Wrong
- Pre-define invalidation points
– Know where you’re wrong and exit with grace
2. Use partial exits
– Lock in profits even if full bias doesn’t play out
3. Re-enter with confirmation
– You can be wrong once, but still profit from the same idea later
4. Journal emotional reactions
– Document how your ego reacted to being wrong and rewire your focus to process over perfection
💡 Actionable Approach
- Accept Uncertainty
Stop trying to be right. Instead, ask: How wrong can I be and still win?
2. Focus on R Values
Don’t chase 90% accuracy. Chase trades with 3R+ reward potential.
3. Set Rules for Scaling Out
Take partials at key levels to remove pressure from your trades.
4. Backtest Trade Idea
Backtest what happens after your entry—even when you get stopped out.
5. Celebrate Process, Not Outcome
If you followed your rules, journal it as a win—even if it was a loss.
🧭 Final Thoughts: Trade Like a Professional, Not a Psychic
Traders fail not because they’re wrong—but because they don't manage being wrong.
You don’t need to predict every move—you just need to survive the wrong ones and capitalize on the right ones.
Let the market do the work. You’re not here to guess. You’re here to manage risk, follow a process, and let edge play out over time.
“Strong views, loosely held.”
— George Asibal
In a world that constantly changes, so should your bias. Stay confident in your analysis, but don’t marry your ideas. The best traders aren’t those who are always right — they’re the ones who adapt quickest when wrong.
Check Out Our Market Education
Learn how to navigate yourself in times of turmoil. Check out my market education links:
Want to learn how to trade like the Smart Money? Check out my new contents:
https://acy.com/en/market-news/education/smc-playbook-series-beginners-guide-j-o-04032025-155530/
Follow me on LinkedIn: https://www.linkedin.com/in/jasperosita/
Join me in Discord: https://discord.gg/G8f7a5RnaF
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