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:
• Algorithms
—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:
• ARC-ALPHA (Dynamic) trading algorithm
can generate strong gains during certain periods.
But :
👉 this is not consistent performance — it’s market-driven spikes
More details here:
👉 ARC Trading Strategy: Capturing High-Volatility Breakouts in Crypto
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:
• DASH-CORE (Stable) trading algorithm
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)
Characteristics:
• strong price swings
• high return potential
• deeper drawdowns
Balanced
Characteristics:
• balanced risk/reward
• moderate drawdowns
Stable (core strategies)
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:
More on this:
👉 Portfolio vs Single Strategy
Why Algorithms Don’t Generate Fixed Returns
Algorithms don’t “print money” — they react to the market.
Learn more:
• HOW IT Works
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:
👉 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?
Where can I explore 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.