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Posted on • Originally published at getradiant.tech

Algo Trading: Evaluate Return-to-Drawdown for Stable Gains

In crypto, you’ll often see returns ranging from 10% to 300%+ annually.
But the key question is not how much a strategy makes — it’s how much risk it takes to achieve that return.

If you’ve already explored strategies on:
https://getradiant.tech/algorithms

https://getradiant.tech/portfolios

—you’ve likely noticed that results vary significantly.
That’s normal.

Why 300% Annual Returns Are Not a Benchmark

High returns usually happen:

• during strong market trends
• on highly volatile assets
• in aggressive strategies

For example, algorithms like:
https://getradiant.tech/algorithms/arc-alpha-dynamic

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

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

can generate strong gains during certain periods.

But важно понимать:
👉 this is not consistent performance — it’s market-driven spikes

More details here:
👉 https://getradiant.tech/updates/arc-trading-strategy-capturing-high-volatility-breakouts

What Is a Realistic Return?

Across different market conditions:

• 30–50% — conservative strategies
• 50–70% — balanced strategies
• 70%+ — aggressive strategies

For example, more stable algorithms like:
https://getradiant.tech/algorithms/dash-core-stable

https://getradiant.tech/algorithms/near-core-stable

typically produce smoother results with lower volatility.

The Most Important Metric: Return / Drawdown Ratio

This is the simplest way to evaluate strategy quality.

Formula:

Risk Ratio=
Drawdown
Return

How to Calculate It
Example 1

• Return: +20%
• Drawdown: −20%

→ 1:1 ratio → weak strategy

Example 2

• Return: +60%
• Drawdown: −20%

→ 1:3 ratio → strong strategy

Example 3

• Return: +100%
• Drawdown: −50%

→ 1:2 ratio → acceptable, but high risk

What Is a Good Ratio?

General benchmarks:

• 1:1 — poor
• 1:1.5 — average
• 1:2 — good
• 1:3+ — excellent

👉 Anything above 1:2 is already a strong result

Strategy Types by Risk Level
Aggressive (high return / high risk)

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

https://getradiant.tech/algorithms/pippin-alpha-dynamic

https://getradiant.tech/algorithms/w-alpha-dynamic

https://getradiant.tech/algorithms/turbo-alpha-dynamic

Characteristics:
• strong price swings
• high return potential
• deeper drawdowns

Balanced

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

https://getradiant.tech/algorithms/pepe-beta-balanced

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

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

Characteristics:
• balanced risk/reward
• moderate drawdowns

Stable (core strategies)

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

https://getradiant.tech/algorithms/sei-core-stable

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

Characteristics:
• lower returns
• better risk control
• more consistent performance

Why Return Alone Is Misleading

Compare two strategies:

Strategy A
• +200% return
• −60% drawdown
→ ~1:3.3

Strategy B
• +70% return
• −20% drawdown
→ 1:3.5

👉 Strategy B is actually more efficient, despite lower returns.

Portfolios vs Single Strategies

Combining strategies improves risk-adjusted performance.

Explore portfolios:

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

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

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

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

Why Algorithms Don’t Generate Fixed Returns

Algorithms don’t “print money” — they react to the market.

Learn more:
https://getradiant.tech/how-it-works

https://getradiant.tech/updates/how-crypto-trading-bots-work-a-beginners-guide

In short:

• market conditions change
• volatility varies
• returns fluctuate

Common Mistake Investors Make

Most people focus on:

❌ maximum returns
❌ best trades
❌ short-term performance

But ignore:

• drawdowns
• consistency
• risk

More here:
👉 https://getradiant.tech/updates/why-most-algorithmic-traders-still-fail-the-drawdown-problem

FAQ
Can you consistently achieve 300% annual returns?

No. These are rare market conditions, not a baseline.

What matters more: return or drawdown?

The ratio between them.

What is a good risk/return ratio?

Anything above 1:2.

Where can I explore strategies?

👉 https://getradiant.tech/algorithms

Where can I explore portfolios?

👉 https://getradiant.tech/portfolios

Final Takeaway

The key idea:

• don’t chase maximum returns
• focus on risk
• evaluate return vs drawdown ratio

👉 This is what separates a sustainable strategy from a lucky one.


About Radiant

Radiant is an automated crypto and tokenized-stocks trading platform — verified live performance, transparent equity curves, and managed portfolios.

Mentioned tickers: FINTECH · INVESTMENT · RADIANT · DEFI

Originally published at getradiant.tech/updates/how-to-evaluate-returns-and-drawdowns-in-crypto-trading-algo. Not financial advice.

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