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Drawdown: What's Normal and What's Dangerous

TL;DR

Drawdown = peak-to-trough decline. Every system has them. In crypto, 15-25% drawdowns can be normal. Above 30% is concerning. Above 50% is dangerous. The key: know what to expect BEFORE it happens.

Drawdown is the most honest metric in trading. It tells you how much pain you'll experience using a system. Not just the gains, but the valleys between peaks.

What is Drawdown?

Drawdown measures the decline from a peak to a trough before a new peak is reached.

Example: Your account goes $10,000 → $12,000 → $9,600 → $11,000

You're not at a new high until you pass $12,000. Until then, you're "in drawdown."

Why Drawdown Matters More Than Returns

Consider two systems:

System A looks better on paper. But 60% drawdown means watching $100,000 become $40,000 at some point. Most people quit before recovery.

System B is psychologically tradeable. You can actually follow it.

Benchmarks for Crypto

Drawdown LevelInterpretation
0-10%Normal noise, expected
10-20%Typical for active crypto trading
20-30%Significant but survivable
30-50%Concerning. Review the system
50%+Dangerous. Potential system failure

Context matters. In a crypto bear market, even good systems may see 25-30% drawdowns. The question is: was this expected, or a surprise?

Normal vs. Concerning Drawdowns

Normal Drawdown Signs

Concerning Drawdown Signs

The psychology trap

Drawdowns feel worse than gains feel good. A 20% loss followed by 25% gain feels like you're losing. Even though you're net positive. This is why people quit good systems during normal drawdowns.

How We Handle Drawdowns

Our system is designed to limit drawdowns through:

We don't claim to avoid drawdowns. That's impossible. We aim to keep them within survivable, recoverable ranges.

See Real Performance History

Our live signals show the full picture. Including losing periods. Judge for yourself.

View Live Signals

Summary

Any service that only shows returns without discussing drawdowns is hiding something. Ask about worst periods. And verify the answer with our transparent signal history.

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Position Sizing in Crypto