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Home Price Action

Risk Management #4: Risk-Reward Ratio: The Math Behind Long-Term Profitability

Baby Bull by Baby Bull
January 5, 2026
in Price Action, Risk Management
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Many traders believe that a high risk-reward ratio (R:R) guarantees profitability.
They aim for 1:3, 1:5, or even higher, assuming bigger winners will solve their problems.

This assumption is incomplete—and often dangerous.

Risk-reward ratio does not determine profitability by itself.
It only works when combined with realistic win rates, disciplined execution, and proper risk control.

In this article, you will learn how risk-reward actually works, how to use it correctly, and why chasing high R:R without context often leads to frustration and losses.


Table of Contents

Toggle
  • What Is Risk-Reward Ratio?
  • Risk-Reward Alone Does Not Create an Edge
  • The Math Behind Risk-Reward and Expectancy
  • Why Higher Risk-Reward Often Lowers Win Rate
  • Risk-Reward Must Respect Market Structure
  • The Role of Execution in Real Risk-Reward
  • Risk-Reward and Drawdowns
  • Practical Guidelines for Using Risk-Reward
  • Risk-Reward Is a Planning Tool, Not a Promise
  • What Comes Next
  • Final Thoughts

What Is Risk-Reward Ratio?

Risk-reward ratio compares:

  • Risk: how much you are willing to lose if the trade fails

  • Reward: how much you expect to gain if the trade succeeds

Example:

  • Risk: 1 unit

  • Reward: 2 units

  • Risk-Reward Ratio: 1:2

On the surface, this looks simple.
In practice, it is deeply connected to probability and execution.


Risk-Reward Alone Does Not Create an Edge

A common misconception is:

“As long as my R:R is high, I don’t need to win often.”

Reality is more nuanced.

A trader risking 1 to make 3 still needs:

  • Adequate win rate

  • Consistent execution

  • Acceptable drawdowns

A 1:3 R:R with a 20% win rate is not profitable.
A 1:1.5 R:R with a 60% win rate can be.

Risk-reward must be evaluated together with win rate, not in isolation.


The Math Behind Risk-Reward and Expectancy

Expectancy is the average amount you expect to gain or lose per trade.

A simplified expectancy formula:

Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss)

Risk-reward defines the size of wins and losses.
Win rate defines how often they occur.

Without positive expectancy, no risk-reward ratio will save a trader long term.


Why Higher Risk-Reward Often Lowers Win Rate

As reward targets increase:

  • Trades require larger price movements

  • Market noise becomes more significant

  • Trades fail more frequently

This trade-off is unavoidable.

Many traders experience:

  • Long losing streaks

  • Psychological stress

  • Abandoning valid strategies prematurely

This is why risk-reward must match market conditions and trade type, not personal preference.


Risk-Reward Must Respect Market Structure

Targets should not be placed arbitrarily.

Logical reward targets consider:

  • Previous highs and lows

  • Supply and demand zones

  • Trend structure

Targeting 1:5 when the next major resistance is nearby is unrealistic and reduces win probability.

This concept ties directly to:

  • Risk Management #3: Stop Loss Placement – Logic, Structure & Common Mistakes

Stops and targets must be designed together as a single structure-based plan.


The Role of Execution in Real Risk-Reward

Theoretical R:R often differs from real results due to:

  • Slippage

  • Spread widening

  • Partial fills

A planned 1:2 trade can become 1:1.6 in reality.

This reinforces the importance of understanding:

  • Execution #3: Trading Costs in Forex – Spread, Commission, Swap & Hidden Costs

Ignoring execution leads to inflated expectations and flawed performance analysis.


Risk-Reward and Drawdowns

Higher R:R strategies often produce:

  • Longer losing streaks

  • Deeper temporary drawdowns

Without proper risk control, traders abandon strategies during normal variance.

This connects directly to:

  • Risk Management #5: Drawdown, Losing Streaks & Capital Survival

Understanding drawdowns helps traders stick to statistically valid systems.


Practical Guidelines for Using Risk-Reward

Rather than chasing extreme ratios, professionals focus on:

  • Consistency

  • Realistic targets

  • Stable equity curves

General guidelines:

  • Lower timeframes → lower R:R, higher win rate

  • Higher timeframes → higher R:R, lower win rate

  • Strong trends → allow larger rewards

  • Ranging markets → accept smaller targets

Risk-reward should adapt, not remain fixed.


Risk-Reward Is a Planning Tool, Not a Promise

Risk-reward ratio helps traders:

  • Filter poor trades

  • Compare opportunities objectively

  • Maintain discipline

It does not guarantee outcomes.

Markets remain probabilistic.
Risk management exists to survive that uncertainty.


What Comes Next

Risk-reward defines potential profitability.
The final threat to survival is capital erosion during bad periods.

That is the focus of:

  • Risk Management #5: Drawdown, Losing Streaks & Capital Survival


Final Thoughts

Risk-reward ratio is powerful—but only when used correctly.

Chasing high R:R without context is no different from gambling.
Used wisely, it becomes a mathematical compass that guides disciplined decision-making.

Tags: price actionrisk
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Table of Contents

×
  • What Is Risk-Reward Ratio?
  • Risk-Reward Alone Does Not Create an Edge
  • The Math Behind Risk-Reward and Expectancy
  • Why Higher Risk-Reward Often Lowers Win Rate
  • Risk-Reward Must Respect Market Structure
  • The Role of Execution in Real Risk-Reward
  • Risk-Reward and Drawdowns
  • Practical Guidelines for Using Risk-Reward
  • Risk-Reward Is a Planning Tool, Not a Promise
  • What Comes Next
  • Final Thoughts
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