Measuring Missed Exit Profits

What went wrong

We were consistently leaving profit on the table because our exit strategy analysis was fundamentally flawed. We relied solely on realized profit and loss (P&L) to evaluate our exits. This metric, while crucial for understanding what we kept, failed to reveal how much potential profit we missed. Our systems would exit trades, and the P&L would show a win, but we had no quantitative way to know if that win could have been significantly larger. This blind spot meant we couldn't identify if our exit logic was prematurely closing profitable positions or failing to capture the full market move.

Why it happens

The core issue is that realized P&L only captures the trade's outcome at a single point: the exit. It doesn't account for the trade's journey. A profitable trade might have reached a much higher peak profit before reversing and hitting our exit. Without tracking the trade's full path, we were blind to this. The market moves in ticks, and every open position updates its maximum favorable and maximum adverse excursion on each tick. These values reflect the real path rather than a sampled snapshot. If you only look at the exit, the MFE number collapses to a function of the exit price, obscuring the peak profit that was available. Similarly, a trade might have experienced significant adverse movement before recovering and hitting our exit; without tracking MAE, we couldn't assess the risk taken to achieve the final profit.

What we changed

We implemented a system to track Maximum Favorable Excursion (MFE) and Maximum Adverse Excursion (MAE) for every trade. MFE measures the peak profit a trade reached from its entry price, and MAE measures the maximum drawdown experienced from the entry price. Crucially, we learned that excursion tracked only at exit is useless; by then the peak has already passed and the number collapses to a function of the exit price. Therefore, we capture these values on every tick for every open position.

Our analysis shifted to comparing these excursion metrics against our realized outcomes. Specifically:

• MFE against realized profit: This measures how much of the available peak profit the exit captured. A large gap between MFE and realized profit indicates we are exiting too early or not letting winners run.
• MAE against stop distance: This measures how close the trade came to being stopped out before working in our favor. A large MAE relative to the stop distance suggests our stop loss placement might be too tight, leading to premature exits on volatile but ultimately profitable trades.

Furthermore, during reconciliation, we query the broker for the actual fill price. Assuming the fill matched the trigger price makes exit analysis measure the model instead of reality. This ensures our excursion data accurately reflects the trade's performance in live markets.

How to check your own system

To determine if your exits are leaving money on the table, run through this checklist:

1. Tick-level Excursion Tracking: Does your system record MFE and MAE for every open position on every tick? If not, your data is incomplete.
2. Exit vs. Peak Profit: For a sample of your profitable trades, compare the realized profit to the MFE recorded before the exit was triggered. Is there a significant, consistent difference?
3. Drawdown vs. Stop Distance: For a sample of trades that hit their stop loss, compare the MAE to the initial stop distance. Did the trade experience a drawdown significantly larger than the stop distance before being stopped?
4. Broker Fill Reconciliation: When analyzing past trades, are you using actual broker fill prices or assuming fills matched trigger prices? Use actual fills.
5. Exit Logic Validation: Does your exit logic (e.g., trailing stops, time-based exits) have empirical backing from excursion data, or is it based on intuition? Excursion data feeds the exit engine directly; it is what makes a trailing-stop or max-hold-time rule an empirical choice rather than a guess.

By answering these questions, you can quantify the performance of your exit strategy and identify where potential profits are being lost.

Disclaimer

This article describes engineering decisions in a trading system. It is not investment advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Always do your own research and consider your financial situation before trading.