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.
