Overview
The 3 Step Distribution Wins and Losses Spreadsheet is a live performance log of trades executed by Ryan during our live trading sessions.
Each entry reflects the risk-to-reward (RR) outcome of trades taken in real time using the Traders Compound strategy.
Access the Spreadsheet
You can view the live trade history here:
3 Step Distribution Live Executions
What This Spreadsheet Shows
This spreadsheet provides a day-by-day breakdown of trading performance, including:
- Daily trade results expressed in RR (Risk-to-Reward)
- Multiple trades combined into a single daily total when applicable
- Clear visual distinction between:
- 🟢 Winning days (positive RR)
- 🔴 Losing days (negative RR)
- Monthly performance summaries (e.g., total RR for August)
Example Breakdown
A typical entry may look like:
- August 25th: +1RR / +1.5RR → Multiple winning trades in one session
- August 21st: -1.25RR → Net loss for the day
- August Total: +7.45RR → Overall monthly performance
This format allows you to quickly understand both daily consistency and overall performance trends.
Purpose of This Data
This spreadsheet is designed to:
- Provide full transparency into real trading results
- Show how the strategy performs over time
- Help members understand consistency, drawdown, and recovery
- Offer insight into real live execution—not hindsight or backtesting
How to Use This
To get the most value:
- Focus on consistency over individual trades
- Study how winning and losing days are managed
- Pay attention to risk control and RR outcomes
- Use this as a reference—not a shortcut
Disclaimer
All information provided is for educational purposes only and should not be considered financial advice.
Trading involves risk, and past performance is not indicative of future results. Results will vary based on individual experience, execution, and risk management.
Final Note
This spreadsheet gives you a real, unfiltered look at live trading performance.
Wins and losses are both part of the process — what matters is execution, discipline, and consistency over time.