Break of Structure (BoS) and Change of Character (CHoCH) Trading Strategy
Master the core concepts of BoS and CHoCH to identify key turning points in the market.
Prefer visual learning? Watch this detailed YouTube video for a complete breakdown of risk management concepts, practical examples, and step-by-step calculations.
Risk management is the practice of protecting your trading capital by controlling potential losses on each trade
Professional traders typically risk only 1-2% of their account balance per trade to prevent catastrophic losses
A higher risk-to-reward ratio (1:2 or 1:3) means you need a lower win rate to be profitable (33% or 25% respectively)
Expected Value (EV) combines win rate and risk-to-reward to determine long-term profitability - always aim for positive EV trades
Larger drawdowns require exponentially larger gains to recover (a 50% loss needs a 100% gain just to break even)
Risk management is the practice of protecting your trading capital by controlling potential losses on each trade. It's not just about minimizing losses – it's about strategically managing risk to ensure you stay in the game long enough to capitalize on winning trades.
As the saying goes: "Take care of your losses and the profits will take care of themselves."
Without proper risk management, you're essentially gambling rather than trading. You might win some trades, but over time, a lack of risk management will inevitably lead to significant losses or even a completely blown account.
This is precisely why risk management is the most common mistake among beginning traders. They focus exclusively on finding the "perfect entry" while neglecting the systems that actually protect their capital.
Let's examine the four foundational building blocks of a robust risk management system:
A stop-loss is a predefined exit level that automatically closes your position if the market moves against you. Think of it as your trading insurance policy.
For example, if you buy a cryptocurrency at $100 and set a stop-loss at $90, your position will automatically close if the price drops to $90, limiting your loss to 10% of your position value.
Many beginning traders make the costly mistake of either not using stop-losses or, worse, moving their stop-losses further away when a trade moves against them. This "it will come back" mentality is one of the quickest ways to blow up a trading account.
Real-world example: In my early trading days, I once neglected to set a stop-loss on a crypto position that I was confident about. When unexpected news hit the market overnight, the asset dropped 30% before I could react. Had I used a proper 10% stop-loss, I would have preserved significantly more capital for future opportunities.
The risk-to-reward ratio compares your potential loss to your potential gain on a trade. It's expressed as 1
, where 1 represents your risk and X represents your potential reward.
For example:
A 1:1 risk-to-reward means you're risking $1 to potentially gain $1
A 1:3 risk-to-reward means you're risking $1 to potentially gain $3
Professional traders typically aim for a minimum risk-to-reward ratio of 1:2, meaning they want to make at least twice as much on winning trades as they lose on losing trades.
Let's illustrate with a concrete example:
Entry price: $100
Stop-loss price: $90 (risking $10 per share)
Take-profit price: $120 (potential gain of $20 per share)
Risk-to-reward ratio: 1:2 (risking $10 to make $20)
Position sizing determines exactly how many shares, contracts, or coins you should trade based on your account size and the specific risk parameters of each trade.
The golden rule many professional traders follow is the 1% rule – never risk more than 1% of your total trading capital on a single trade. Some slightly more aggressive traders might use a 2% rule, but exceeding this significantly increases your risk of ruin.
Here's how to calculate your position size:
Determine your account size (e.g., $10,000)
Decide your risk percentage (e.g., 1% = $100)
Identify your risk per unit (entry price minus stop-loss price)
Divide your total risk amount by risk per unit
Let's work through a simple example:
Account size: $10,000
Risk per trade: 1% ($100)
Entry price: $50
Stop-loss price: $45 (risk per share = $5)
Position size calculation: $100 ÷ $5 = 20 shares
By purchasing 20 shares, you ensure that if your stop-loss is hit, you'll lose exactly 1% of your account, regardless of how volatile the market becomes.
This principle states that you should never risk more than 1-2% of your trading account on any single trade. This rule serves as your first line of defense against significant drawdowns.
When combined with proper position sizing, the 1-2% rule ensures that even a string of consecutive losses won't devastate your account. For instance, even with 10 consecutive losing trades (which is rare with a well-tested strategy), you'd only lose 10-20% of your account – a manageable drawdown from which you can recover.
Be aware of these dangerous pitfalls that have ruined countless trading accounts:
Many new traders enter the market expecting to double their money quickly. This mindset leads to excessive risk-taking – perhaps risking 10% or more per trade – which dramatically increases the probability of a blown account.
Remember: "Trying to get rich quick is often the quickest path to getting poor."
Trading without a stop-loss or, equally dangerous, moving your stop-loss further away when a trade goes against you, is a recipe for disaster. Your initial stop-loss placement should be based on market structure, not on how much you're willing to lose.
Using excessive leverage can amplify your gains, but it also magnifies your losses. Many brokers offer high leverage (especially in forex and crypto), but just because it's available doesn't mean you should use it.
Holding losing positions too long in the hope that "the market will eventually turn around" is a dangerous psychological trap. Markets can remain irrational longer than you can remain solvent.
Expecting fast wealth leads to excessive risk-taking (10%+ per trade), dramatically increasing the chance of blowing your account.
Trading without stop-losses or moving them further away when a trade goes against you virtually guarantees eventual disaster.
Excessive leverage amplifies both gains and losses. Just because high leverage is available (especially in forex and crypto) doesn't mean you should use it.
Holding losing positions too long hoping for a recovery is a dangerous trap. Remember: Markets can remain irrational longer than you can remain solvent.
"Trying to get rich quick is often the quickest path to getting poor."
Your risk-to-reward ratio directly impacts how often you need to win to be profitable. Let's break down the math:
Risk
RatioRequired Win Rate to Break Even1:0.567%1:150%1:233%1:325%
This table reveals an important truth: the higher your risk-to-reward ratio, the lower your required win rate.
With a 1:3 risk-to-reward ratio, you only need to be right on 25% of your trades to break even. Any win rate above that threshold results in net profitability. This is why many successful traders focus more on finding high risk-to-reward opportunities than on increasing their win rate.
To calculate your breakeven win rate, use this formula:
Breakeven Win Rate = Risk / (Risk + Reward)
For example:
With a 1:1 risk-to-reward ratio: 1 / (1 + 1) = 0.5 = 50%
With a 1:2 risk-to-reward ratio: 1 / (1 + 2) = 0.33 = 33%
With a 1:3 risk-to-reward ratio: 1 / (1 + 3) = 0.25 = 25%
This means that with a 1:2 risk-to-reward setup, you could lose 7 out of 10 trades and still make money as long as your 3 winners each made twice what your losers lost.
Proper position sizing ensures that your risk per trade stays within your predetermined limits. Here's a practical example of how to calculate position size:
Account size: $10,000
Risk per trade: 1% ($100)
Entry price: $100
Stop-loss price: $90 (risking $10 per share)
Position size calculation: $100 ÷ $10 = 10 shares
By purchasing 10 shares, you ensure that if your stop-loss is hit, you'll lose exactly 1% of your account.
One common mistake to avoid: calculating your position size based on your total account rather than your risk per trade. For instance, investing 50% of your account in a single position with a tight stop-loss is still dangerous because of potential gaps in the market or liquidity issues.
Expected Value (EV) combines your win rate and risk-to-reward ratio to determine the average amount you can expect to win or lose per trade over time.
The formula for Expected Value is: EV = (Win Rate × Average Win) - (Loss Rate × Average Loss)
For example:
Win rate: 40%
Loss rate: 60%
Average win: $300
Average loss: $100
EV calculation: (0.4 × $300) - (0.6 × $100) = $120 - $60 = $60
With an expected value of $60 per trade, you can expect to make an average of $60 for every trade you take over a large sample size.
This is why trading is a numbers game – any single trade may win or lose, but over a large number of trades, your results will approximate your expected value.
A positive expected value is the mathematical foundation of profitable trading.
A drawdown is the decline from the peak value of your trading account to its lowest point. Understanding drawdowns is crucial because larger percentage losses require disproportionately larger gains to recover.
Consider these recovery requirements:
10% loss requires 11% gain to recover
20% loss requires 25% gain to recover
50% loss requires 100% gain to recover
90% loss requires 900% gain to recover
This clearly illustrates why preventing large drawdowns is so critical. The deeper the hole, the harder it is to climb out.
To minimize drawdowns:
Strictly adhere to the 1-2% risk per trade rule
Avoid correlations (don't take multiple similar trades)
Consider reducing your position size during losing streaks
Use portfolio heat rules (e.g., stop trading if you lose 5% in a week)
A drawdown is the decline from the peak value of your trading account to its lowest point. The larger the percentage loss, the exponentially harder it is to recover.
Account Loss | Required Gain to Recover |
---|---|
10% | 11% |
20% | 25% |
50% | 100% |
90% | 900% |
"The deeper the hole, the harder it is to climb out."
Focus on preserving capital rather than making quick profits. Capital preservation is your first priority.
Be more defensive during drawdowns. Consider reducing your position sizes or taking fewer trades when experiencing a losing streak.
Adapt your risk management to market volatility. In highly volatile markets, you may want to use smaller position sizes or wider stop-losses with reduced position size.
Remember you can't trade at all if you have no capital left. The ultimate goal of risk management is to keep you in the game.
Take care of your losses and the profits will take care of themselves. By focusing on minimizing losses rather than maximizing wins, you set yourself up for long-term success.
Most professional traders risk between 1-2% of their account per trade. This conservative approach prevents catastrophic losses even during losing streaks. Beginners should start with 1% or even 0.5% until they develop consistency. Even aggressive traders rarely risk more than 3% per trade since this could lead to significant drawdowns after just a few consecutive losses.
Your stop-loss should be placed at a level that invalidates your trading thesis, typically below a significant support level for long positions or above a resistance level for short positions. Never place stop-losses based solely on how much you're willing to lose. Instead, let the market structure and volatility guide your placement. Once set, respect your stop-loss and avoid moving it further away when a trade goes against you.
No. Consider reducing your risk during highly volatile market conditions or when your recent performance has been below average. When markets are more volatile, prices can move against you more quickly, potentially triggering wider stop-losses. Similarly, after a series of losses, it's wise to reduce position size temporarily until you regain your confidence and analyze what went wrong. Adaptability is key to long-term trading success.
Not necessarily. A 40% win rate with a 1:3 risk-to-reward ratio is more profitable than a 60% win rate with a 1:1 risk-to-reward ratio. Focus on your expected value (EV) rather than just your win rate. When you win three times what you lose, you can be wrong more often and still be profitable. This is why many professional traders focus on high risk-to-reward setups rather than trying to achieve extremely high win rates.
Remind yourself that losing trades are a normal part of trading. If you're following your risk management rules, no single loss or string of losses should significantly impact your account. Consider taking a short break or reducing your position size until your confidence returns. Review your losing trades objectively to see if there's a pattern that needs addressing, but avoid making dramatic strategy changes based on a small sample size of trades.
Track all your trades in a trading journal, noting risk percentages, risk-to-reward ratios, and expected values. Review regularly to identify patterns and areas for improvement. Consider demo trading to practice risk management without financial consequences. Study your drawdowns carefully and analyze how your position sizing affects your overall results. Additionally, back-test your strategy with various risk parameters to find the optimal approach for your trading style.
Risk management is the true cornerstone of trading success. While finding good entries is important, how you manage risk will ultimately determine your longevity and profitability in the markets.
By implementing proper stop-losses, maintaining favorable risk-to-reward ratios, sizing your positions appropriately, and ensuring a positive expected value, you create a robust framework for consistent trading performance.
Remember: successful trading isn't about avoiding losses entirely – it's about ensuring that your winners outweigh your losers over time.
What aspect of risk management do you find most challenging? Share your thoughts in the comments below!
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I bought my first stock at 16, and since then, financial markets have fascinated me. Understanding how human behavior shapes market structure and price action is both intellectually and financially rewarding.
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