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Risk to Reward Management in Trading

Apr 13, 2025

TradeLikeBerlin: Understanding Risk to Reward Management and Probability Game

Introduction

  • Host: Berlin from TradeLikeBerlin.
  • Focus of the session: Risk to Reward (RR) Management and Probability Game.
  • Session divided into two parts: Theory and Practical implementation.

Importance of RR Management

  • Many traders focus on strategies with high accuracy rates (e.g., 90%, 95%, 99%) but still lose money.
  • Key Quote: "What matters is how much money you are making when you are right and how much money you are losing when you are wrong."

Example of RR Management

  • Two Traders:
    • Trader A: 90% accuracy, ends in loss.
    • Trader B: 60% accuracy, ends in profit.
  • Key point: It's not the win rate but how much you win compared to how much you lose.

Suitable Risk to Reward Ratios

  • Minimum recommended RR is 1:2.
  • Ideal RR ratio: 1:3 to 1:5.
    • Example: Losing ₹10 but winning ₹30 or ₹50.

Strategy Example: Fibonacci

  • 10 trades using a 1:5 RR ratio.
  • Worst case scenario: 6 losses, 4 wins.
  • Outcome: Still ends in profit.
  • Emphasizes the importance of not using a 1:1 RR ratio.

Key Traders and Advice

  • Ed Seykota: "Keep cutting the losses, keep cutting the losses, keep cutting the losses."
  • Importance of a healthy RR and cutting losses.

Probability Game

  • No need for detailed chart analysis or specific strategies.
  • Focus on numbers between 1 to 100.
  • Example:
    • Track a ₹20 option.
    • If it reaches ₹40, buy with SL at ₹30 and target at ₹80.
  • Implement this method 10 times and you should either break even or profit.

Example Outcomes

  • Expectation: 4 wins and 6 losses out of 10 trades.
  • Wins: Earn ₹40 per successful trade.
  • Losses: Lose ₹10 per unsuccessful trade.
  • Net result: Profit even with fewer wins due to a favorable RR ratio.

Conclusion

  • Emphasizes understanding and implementing RR management and probability in trading.
  • Promise of practical application in future sessions.
  • Encouragement to avoid scams and focus on learning.

Closing Remarks

  • Encouraged viewers to subscribe and stay wary of fake channels.
  • TradeLikeBerlin is committed to providing free knowledge and education.