Trading Success Through Loss Management

Oct 13, 2024

ICT Mentorship: Profitability Despite Losses

Key Points

  • Topic: Understanding how losses in trading do not necessarily impact long-term profitability.
  • Fear-Based Trading: Leads to poor decision-making and limits effective trading.
  • Losses: Inevitable but manageable as part of doing business.

Important Concepts

  • Professional Equity Management: Acknowledges losses as business costs.
  • High Probability Setups: Generate returns despite losses.
  • Reward to Risk Ratios: Essential for profitable trading (e.g., 3:1, 5:1).

Framing Trades

  • Market Setup and Risk/Reward Multiples:

    • Use of market structures such as the "bullish order block."
    • Identifying support levels such as fair value gaps.
  • Mean Threshold: Used as a parameter to avoid closing below a certain level.

  • Trade Example:

    • 20 pip stop loss for framing reward multiples.
    • Risk setups encouraging 3:1 and 5:1 reward to risk ratios.

Hypothetical Trading Scenario

  • Account Example: $5,000 with low accuracy (30%).
  • Risk Management: 1% risk per trade.
  • Reward to Risk Ratio: 3:1.

Sample Set Analysis

  • 10 Trades: 3 wins, 7 losses.
  • Results:
    • Average win: $150
    • Average loss: $50
    • Net outcome: $450 from wins - $350 from losses = $100 net profit.

Higher Reward to Risk Example

  • 5:1 Reward to Risk:
    • Winning trades: 3 wins at $250 average = $750 subtotal.
    • Losing trades: 7 losses at $50 average = $350 subtotal.
    • Net profit: $750 - $350 = $400 (8% return).

Increase in Risk and Accuracy

  • Risk 2% per Trade:

    • Average win: $500
    • Average loss: $100
    • 15% return with low accuracy (30%).
  • Accuracy Increase to 40%:

    • 4 wins, 6 losses.
    • $2,000 profit - $600 loss = $1,400 net profit (28% return).

Optimizing Trading Goals

  • 50% Accuracy:

    • Reward to Risk: 5:1, Risk per Trade: 1%.
    • Results: $1,250 profit - $250 loss = $1,000 net profit (20% return).
  • Trading Strategy Benefits:

    • Focus on framing trades for optimal returns.
    • Low risk, high reward model.
    • No need for high accuracy.
    • 1% risk per trade yields substantial returns.

Conclusion

  • Losses as Costs: Accepting losses as part of trading.

  • Long-Term Strategy: Focus on risk management and reward to risk ratios.

  • Goal: Maintain profitability with a balanced approach to risk and reward.

  • Advice: "Keep risk low, aim for high reward to risk ratios, and manage losses as part of the trade journey."

  • Future Outlook: With experience, accuracy will naturally improve, aiming for at least a 50% success rate without needing excessive accuracy.