Risk Management Basics
10 min read | Last reviewed: 11/7/2025 by GCP
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10 min read | Last reviewed: 11/7/2025 by GCP
"Rule #1: Don't lose money. Rule #2: Never forget Rule #1." - Warren Buffett
Risk management is more important than finding winning trades. Why?
Key Insight: It's not about how often you win. It's about how much you win when you're right and how much you lose when you're wrong.
The 1-2% rule is the foundation of risk management:
"Never risk more than 1-2% of your total capital on a single trade."
This ensures that even a string of losses won't wipe out your account.
Example: $10,000 Account
| Risk Per Trade | Consecutive Losses to Lose 50% | Account After 10 Losses | | -------------- | ------------------------------ | ----------------------- | | 10% ($1,000) | 5 losses | $0 (wiped out after 10) | | 5% ($500) | 10 losses | $5,987 | | 2% ($200) | 25 losses | $8,171 | | 1% ($100) | 50 losses | $9,044 |
Math:
Conclusion: Small risk per trade = survival. Large risk per trade = ruin.
Position Size = (Account Size × Risk %) / (Entry Price - Stop-Loss Price)
Scenario:
Calculation:
Risk per trade: $10,000 × 2% = $200
Distance to stop-loss: $50,000 - $48,000 = $2,000 per BTC
Position size = $200 / $2,000 = 0.1 BTC
Investment: 0.1 BTC × $50,000 = $5,000
Result: Buy 0.1 BTC at $50,000
What happens:
❌ Wrong approach: "I'll buy $5,000 worth of BTC"
Problem: Without considering stop-loss, you might risk 10-20% if trade goes against you.
✅ Correct approach: "I'll risk 2% ($200), stop-loss is 4% below entry, so I'll buy 0.1 BTC"
A stop-loss is a price level where you automatically exit a losing trade to limit damage.
Key Principle: Always set stop-loss before entering a trade. Decide your max loss upfront.
If buying, place stop-loss below the nearest support level.
Example:
Logic: If price breaks below support, the trade thesis is invalidated.
Set stop-loss at a fixed percentage below entry.
| Asset Volatility | Stop-Loss Distance | | -------------------- | ------------------ | | BTC (moderate) | 5-10% | | ETH (higher) | 10-15% | | Altcoins (very high) | 15-25% |
Example (BTC):
Use Average True Range (ATR) to set stop-loss based on recent volatility.
Formula: Stop-loss = Entry - (2 × ATR)
We'll cover ATR in the Intermediate Track.
❌ Setting stop-loss too tight (2-3% for BTC) Problem: Normal volatility triggers stop-loss, then price rebounds
❌ Not using stop-loss at all Problem: A -30% loss can wipe out weeks of gains
❌ Moving stop-loss further away when price goes against you Problem: Turns a small loss into a big loss (death spiral)
✅ Set stop-loss based on chart structure (support/resistance) ✅ Give room for normal volatility ✅ Never move stop-loss further from entry (only move it closer to lock profits)
Risk/Reward ratio compares how much you're risking to how much you could gain.
Formula:
Risk/Reward = (Entry - Stop-Loss) / (Take-Profit - Entry)
Rule: Never take a trade with less than 1:2 risk/reward.
Why? If you risk $100 to make $200, you only need to win 34% of the time to break even.
| Risk/Reward | Win Rate Needed to Break Even | | ----------- | ----------------------------- | | 1:1 | 50% | | 1:2 | 34% | | 1:3 | 25% | | 1:5 | 17% |
Setup:
Target 2: $56,000 (reward $6,000)
Bad setup:
Scenario: 10 trades with 1:2 risk/reward, $200 risk per trade
Win 4 trades, lose 6:
Same scenario with 1:1 risk/reward:
Conclusion: Good risk/reward lets you be wrong more than you're right and still profit.
"Never have more than 6% of your account at risk across all trades."
If you have 5 trades open, each risking 2%, you're risking 10% total. One bad day and multiple stop-losses hit → major damage.
Account: $10,000 Open trades:
Total risk: 6% ($600) ✅ OK
If you add a 4th trade (2% risk):
Action: Wait for one trade to close before opening another.
Accept losses as part of the game "I will lose money sometimes, and that's OK."
Never revenge trade After a loss, resist the urge to "win it back" immediately.
Stick to your plan If your stop-loss is hit, accept it. Don't move it further.
Don't overtrade Quality > Quantity. 1 good trade/week > 20 mediocre trades.
Take profits Don't be greedy. If you hit your target, close the trade.
Scenario: You win 5 trades in a row (+$1,000). You feel invincible.
Danger: You increase risk to 5% per trade, thinking you "can't lose."
Reality: You lose the next 3 trades (-$1,500). Now you're down $500 and shaken.
Lesson: Stick to 1-2% risk even when winning. Consistency beats emotion.
Before every trade, ask yourself:
If you can't answer these questions, don't take the trade.
Account: $10,000 Risk per trade: 2% ($200) Asset: BTC/USD
Chart Analysis:
Trade Plan:
Position Sizing:
Risk per trade: $200
Distance to stop-loss: $50,000 - $47,500 = $2,500 per BTC
Position size = $200 / $2,500 = 0.08 BTC
Investment = 0.08 × $50,000 = $4,000
Execution:
Outcome A (Win):
Outcome B (Loss):
Result: You risked 2% to make 3.2%. Risk/reward achieved.
✅ 1-2% Rule: Never risk more than 1-2% of your capital per trade
✅ Position sizing = (Account × Risk%) / (Entry - Stop-Loss)
✅ Stop-loss placement: Below support (longs) or above resistance (shorts)
✅ Risk/Reward minimum: 1:2 or better (risk $1 to make $2+)
✅ 6% Rule: Never have more than 6% total risk across all open trades
✅ Emotional discipline: Stick to your plan, accept losses, no revenge trading
⚠️ Most traders fail not because of bad trades, but because of poor risk management
⚠️ One big loss (20-30% of account) can take months to recover
Your turn: Plan a hypothetical trade using the checklist above.
Example:
Calculate:
Continue to Lesson 6: What is Paper Trading? to learn why practicing without real money is crucial before risking capital.
Practice Recommendation: On Cryptonyk, place paper trades using proper position sizing and stop-losses. Track your risk/reward ratios and win rate over 20 trades. This will build discipline before you trade with real money.