🚨🔵 Xabi Alonso on going 0-2 down vs Leeds: “I need to take my own blame and my own responsibility on the things that happened”.
“I need to be able to help them better for sure, so they are not responsible”, says via @peterrutzler.
🚨🏆 OFFICIAL: Donald Trump and Gianni Infantino to handle World Cup trophy to the winners in New York on final day.
“We will be together with the president enjoying the final and handing the trophy to the winner, of course, together”, says Gianni Infantino.
I analyzed my trades from last month till now, (17 trades in total )to understand the real impact of moving stops to break-even.
Process:
• Built the dataset in Excel
• Used Python for analysis & visualization
• Fixed risk per trade: $100
I compared two scenarios.
WITH break-even:
• Win rate: 36%
• Loss rate: 19%
• Break-even trades: 45%
• 8.5R
WITHOUT break-even:
• Win rate: 55%
• Loss rate: 45%
• 19.5R
Key insights:
• Break-even dramatically increased neutral outcomes
• It reduced my ability to measure true expectancy in R’s
• It felt psychologically safer,but it significantly reduced overall profitability
• Longest streak of losses was 3 without break-evens and 2 with break-evens, so no major difference
• You can’t accurately measure your win rate if you use Break-evens
The equity curve and total profit comparison made the difference very clear.
Going forward, I’ll be trading without moving stops to break-even, only SL or TP, while I continue to collect data to see how the system performs over time.
Data > opinions.
What’s your take on Break-evens ?
Do you use them or not?
Let me hear your thoughts and share for others to see.
Feel free to ask any question you might have, and if you’d want the python file I used for analysis you can ask for it.
Tools used #Excel and #Python
#Forex #Trading #RiskManagement #DataAnalytics #Python
@ronna256 I would really appreciate a spot out of the 35 because I believe I have the skills but I have been incapacitated by capital to scale up , so this would be a great opportunity for me