What a 'Good' Crypto Strategy Actually Looks Like

After explaining why most YouTube strategies fail, the obvious question is: what does a good crypto strategy actually look like? Here's the honest answer — it's probably more boring than you expected.

Characteristics of a Good Crypto Strategy

1. Complete, Testable Rules

A good strategy can be written down so clearly that a computer (or another person) could execute it exactly the same way you would.

Bad strategy (vague):

"Buy when Bitcoin looks oversold and the trend seems to be reversing"

Good strategy (specific):

Entry: Buy BTC when RSI(14) crosses above 30 AND price > EMA(50)
Exit: Sell when RSI(14) crosses below 70 OR price drops 12% from entry
Position: 5% of portfolio per trade
Timeframe: Daily chart

2. Realistic Performance Expectations

Here's what realistic crypto strategy performance looks like:

3. Positive Expectancy (The Math Must Work)

A profitable strategy needs positive expectancy:

Expectancy = (Win Rate × Avg Win) - (Loss Rate × Avg Loss)

Example of a GOOD strategy:
Win Rate: 45%
Average Win: 15%
Average Loss: 8%

Expectancy = (0.45 × 15%) - (0.55 × 8%)
           = 6.75% - 4.4%
           = +2.35% per trade (positive = good)

Example of a BAD strategy:
Win Rate: 70%
Average Win: 5%
Average Loss: 15%

Expectancy = (0.70 × 5%) - (0.30 × 15%)
           = 3.5% - 4.5%
           = -1.0% per trade (negative = losing strategy)

Key insight: A 45% win rate strategy can be more profitable than a 70% win rate strategy if the winners are big enough.

4. Survives Different Market Conditions

A good strategy is tested across:

• Bull markets: 2020-2021, late 2023-2024
• Bear markets: 2022, early 2023
• Sideways/choppy: Various consolidation periods

If a strategy only works in bull markets, it's not a strategy — you're just riding the trend anyone could catch.

5. Manageable Drawdowns

Every strategy has drawdowns. Good strategies have drawdowns you can psychologically handle:

• Under 20%: Most people can handle this
• 20-35%: Uncomfortable but manageable
• 35-50%: Many traders abandon ship here
• Over 50%: Account destruction territory

Example: A "Boring" Strategy That Actually Works

Here's a simple trend-following strategy that demonstrates what "good" looks like:

The Simple Trend Strategy

Asset: BTC-USD
Timeframe: Daily

Entry Conditions:
- Price closes above EMA 21
- RSI(14) > 50
- Price > price from 20 days ago (confirms uptrend)

Exit Conditions:
- Stop Loss: 15% below entry price
- OR Price closes below EMA 21

Position Sizing:
- 10% of portfolio per trade
- Maximum 1 position at a time

What This Strategy's Results Look Like

Why This Strategy Works

1. Trend following: Crypto trends hard — this captures it
2. Clear rules: No ambiguity, can be backtested
3. Risk management: 15% stop prevents catastrophic losses
4. Patience: Only trades when conditions align
5. Realistic expectations: ~50% win rate, but winners > losers

What Losing Periods Look Like

Even this "good" strategy has rough patches:

• Choppy markets: 3-5 small losses in a row as price whipsaws around EMA
• Bear market start: May take 1-2 losing trades before staying out
• Typical losing streak: 4-6 consecutive losses possible

This is normal. If you can't handle this, you can't handle trading.

The Anatomy of Good Strategy Components

Good Entry Signals

Good Exit Signals

Stop Loss (must have):

• Fixed percentage: 10-20% for BTC, 15-30% for altcoins
• ATR-based: 2-3x ATR below entry
• Structure-based: Below recent swing low

Take Profit (optional but helpful):

• Fixed target: 2-3x your stop loss distance
• Trailing stop: Lock in profits as price moves
• Indicator exit: RSI > 75, price below EMA, etc.

Good Position Sizing

Recommended: Risk 1-3% of capital per trade. Boring? Yes. Keeps you in the game? Also yes.

Red Flags vs Green Flags

Strategy Red Flags

• Win rate above 80% claimed
• No losing trades shown
• "Works on all timeframes and all coins"
• No stop loss defined
• Vague entry rules ("when it looks right")
• Only tested during bull markets
• Less than 30 trades in backtest
• Promises specific return percentages

Strategy Green Flags

• Clear, specific, testable rules
• Win rate between 40-60%
• Losing trades openly shown
• Drawdowns acknowledged
• Works across bull AND bear markets
• 100+ trades in backtest
• Risk management built in
• Creator can explain WHY it works

Building Your Own Good Strategy

Step 1: Start With a Simple Edge

Pick ONE concept that has logical basis:

• Trend following: "Trends tend to continue"
• Mean reversion: "Extremes tend to correct"
• Breakout: "New highs often lead to higher highs"
• Momentum: "Strong moves tend to persist"

Step 2: Add 1-2 Filters Maximum

Don't over-complicate. More filters = more curve fitting.

Base: Buy when price > EMA 50
Filter 1: AND RSI > 45 (confirms momentum)
Filter 2: AND Volume > average (confirms interest)

STOP. That's enough.

Step 3: Define Risk Management First

Before worrying about entries, define:

• Maximum loss per trade (1-3%)
• Stop loss placement (technical or percentage)
• Position size calculation

Step 4: Backtest Properly

• Minimum 3 years of data
• Minimum 50 trades (100+ preferred)
• Include 2022 bear market
• Test on multiple assets if possible

Step 5: Forward Test Before Going Live

• Paper trade for 20-30 signals
• Track every trade in a journal
• Compare to backtest expectations
• Only go live if results are consistent

Sample "Good" Strategies to Test

Here are three strategies with realistic expectations to backtest yourself:

Strategy A: Simple Momentum

Entry: EMA 12 crosses above EMA 26 AND RSI > 50
Exit: EMA 12 crosses below EMA 26 OR 15% stop loss
Expected: 45% win rate, 2:1 reward/risk

Strategy B: Pullback in Trend

Entry: Price > EMA 50 AND RSI crosses above 35
Exit: RSI > 70 OR 12% stop loss
Expected: 50% win rate, 1.5:1 reward/risk

Strategy C: Breakout

Entry: Price closes above 20-day high AND Volume > 1.5x average
Exit: Trailing stop 10% OR price below EMA 21
Expected: 40% win rate, 3:1 reward/risk

Conclusion: What "Good" Really Means

A good crypto strategy:

• Has clear, testable rules
• Shows 40-55% win rate (not 90%)
• Has drawdowns (25-40% is normal)
• Works in bull AND bear markets
• Has positive expectancy mathematically
• Includes risk management
• Is boring to execute

The strategies that make money long-term aren't exciting. They don't promise overnight riches. They have losing streaks that test your patience. They're psychologically difficult to follow.

But they work.

The question isn't whether a strategy looks exciting — it's whether the math works and you can stick with it through the inevitable rough patches.