How to Evaluate Crypto Trading Algorithms: Return vs Drawdown

How to Evaluate Crypto Trading Algorithms: Return vs Drawdown

In crypto, it’s easy to get distracted by high returns.

You’ll often see strategies claiming:
• 100%+ annual returns
• 200% during bull runs
• even 300% in short periods

But there’s a problem:
👉 returns alone don’t tell you anything about risk

The Core Problem

Most traders evaluate strategies like this:

“This one made more money — so it’s better.”

But they ignore:

• drawdowns
• volatility
• consistency

That’s how people end up choosing unstable strategies.

The Metric That Actually Matters

Instead of raw returns, use:

Return / Drawdown Ratio
risk_ratio = total_return / max_drawdown

This gives you a simple measure of risk efficiency.

Quick Examples
Strategy A:
return = 20%
drawdown = 20%
ratio = 1.0 → weak
Strategy B:
return = 60%
drawdown = 20%
ratio = 3.0 → strong
Strategy C:
return = 100%
drawdown = 50%
ratio = 2.0 → acceptable
Benchmarks

Use this as a quick filter:

• 1.0 → poor
• 1.5 → average
• 2.0 → good
• 3.0+ → strong

Real-World Strategy Types
High Volatility (Alpha / Dynamic)

Examples:
• https://getradiant.tech/algorithms/arc-alpha-dynamic

• https://getradiant.tech/algorithms/gun-alpha-dynamic

• https://getradiant.tech/algorithms/pump-alpha-dynamic

Traits:
• large price swings
• high upside
• deep drawdowns

Balanced (Beta)

Examples:
• https://getradiant.tech/algorithms/ena-beta-balanced

• https://getradiant.tech/algorithms/doge-beta-balanced

• https://getradiant.tech/algorithms/wif-beta-balanced

Traits:
• moderate volatility
• more stable performance

Core (Stable)

Examples:
• https://getradiant.tech/algorithms/dash-core-stable

• https://getradiant.tech/algorithms/render-core-stable

• https://getradiant.tech/algorithms/sol-core-stable

Traits:
• lower drawdowns
• consistent results
• lower returns

Why Portfolios Matter

Single strategies are fragile.

Portfolios reduce risk by diversification.

Examples:
• https://getradiant.tech/portfolios/high-volatility-alpha-portfolio

• https://getradiant.tech/portfolios/balanced-momentum-portfolio

• https://getradiant.tech/portfolios/conservative-crypto-portfolio

More:
https://getradiant.tech/updates/portfolio-vs-single-strategy

Common Mistake

Most traders optimize for:

max_return

But they should optimize for:

return / risk

That’s the difference between:

• short-term wins
• long-term survival

Learn More

Full breakdown with examples and explanation:
👉 https://getradiant.tech/updates/how-to-evaluate-returns-and-drawdowns-in-crypto-trading-algo

TL;DR

If you remember one thing:

High returns don’t matter if the drawdown is too high.

Always measure:

return / drawdown