C2 cutoff statistics of Ratio of Excursion to Profit

Anyone knows where the cutoff statistics “below 1.0” and “above 1.0” came from?

The Ratio of Excursion to Profit is a magnifying glass on the risk embedded within a trading system. It is a core concept in trading system evaluation: the efficiency of profit capture relative to risk taken. A high ratio could be a warning light that significant drawdowns are not just possible, but a fundamental characteristic of the system’s design.

A system with an E/P of 5.5 is far riskier than the same profit from a system with an E/P of 1.9. However, not quite sure where the cutoff statistics “below 1.0” and “above 1.0” came from?

In essence, the goal for the investors is to seek a system with an acceptable Net Profit, a Max Drawdown you can psychologically and financially withstand, and the lowest possible E/P Ratio that achieves that combination. This represents an efficient, robust strategy.

I’m not sure where the cutoff came from. It is my favorite statistic. I usually look for systems with a ratio 0.4 or below. If you take a look at the stats for ares, proven to be one of the most robust strategies on C2, this metric (Avg(MAE) / Avg(PL) - Winning trades) is a mere 0.115.

Okay, Let’s break down the terms of the ratio.

  1. Defining the Terms

· Excursion: This generally refers to the total movement of a trade in your favor before it is closed. It’s often called “Gross Profit” (the sum of all profitable trades).
· Profit (Net Profit): This is the final profit after accounting for losing trades. It’s Gross Profit - Gross Loss.

  1. The “Ratio of Excursion to Profit”

It much likes the Profit Factor, though it’s slightly different.

· Assuming Profit Factor = Gross Profit / Gross Loss.
· A value > 1 means the system is profitable.
· A value of 2 means you make $2 for every $1 you lose.
· Your described ratio, Excursion to Net Profit (E/P), would be:
· E/P Ratio = Gross Profit / Net Profit

Interpretation of the E/P Ratio:

· It measures how “efficiently” your system translates favorable price movement into realized net profit.
· A lower E/P ratio is better.
· Example-1 (Low E/P = Efficient): Gross Profit = $12,000, Gross Loss = $2,000. Net Profit = $10,000.
· E/P = 12,000 / 10,000 = 1.2
· This system keeps most of its gains. Losing trades are small and infrequent relative to winners.

· Example-2 (High E/P = Inefficient): Gross Profit = $55,000, Gross Loss = $45,000. Net Profit = $10,000.
· E/P = 55,000 / 10,000 = 5.5
· This system gives back a huge portion of its paper gains. It experiences large losses, resulting in the same net profit with much more churn and volatility.

· Example-3 (Moderate - Low E/P): Gross Profit = $19,000, Gross Loss = $9,000. Net Profit = $10,000.
· E/P = 19,000 / 10,000 = 1.9
· In this case, E/P 1.9 is not so bad.

Correct me if I am wrong.

I believe you’re describing something different in two ways. #1 we’re talking about Adverse excursions only, not movement of the trade in your favor… so, it means the maximum drawdowns within a trade before ending in a profit (because #2 we’re only looking at the Winning trades here). So if a strat has 10 winning trades, you take the average intratrade MDD for each trade divided by the average profit for those trades. That’s why it’s called “Avg(MAE) / Avg(PL) - Winning trades”. Trades that average down during a drawdown to reduce losses and then close with a minimal profit drive up this metric above 1.0.

Both posts from JJ are approx 80%-85% AI written. So maybe we are helping to teach finance AI here.

If it refers “Avg(MAE) / Avg(PL) - Winning trades” (instead of “The Ratio of Excursion to Profit”), the title of the following warning sign should be changed or rewritten:

It is my understanding that “Avg(MAE) / Avg(PL) - Winning trades” can be used for Strategy Refinement. High ratio suggests need for better entry signals, but sill OK for high-win-rate system if there are tightening stops to control the max DD.

YMMV, as they say. You go ahead and invest with your understanding of the meaning of words, and I’ll stick with mine. I found the warning (beyond the headline) quite explicit and explanatory.

Here I give an example of 2.0 Ratio of (MAE) / (PL) - Winning Trade, using today’s ES One-min Chart:

In this case, you entered long @ 6953. Because your intrady stoploss limit is 24pts ( 50% of 5-day ATR 48pts), you didn’t get out when ES hit intraday low @ 6941. So there was a drawdown of 12 pts. This position was closed @ 6959, with 6pts profit. This is a wining trade, with (MAE) / (PL) Ratio of 2.0 (12/6). My point is, if you use a proper stop to limit your loss and well control the max DD, your system is still OK (although Lowest possible Ratio is better).

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There are another two questions:

(1) It said that 43.6% of strategies with ratio >1 lose money over 180days - so another 56.4% of strategies with ratio >1 make money over 180days?

(2) Taking a look at the stats for ares, proven to be one of the most robust strategies on C2, this metric (Avg(MAE) / Avg(PL) - Winning trades) is a mere 0.115.

However, his Annual Return of yr2025 is only 5%, much lower than others.

Currently, there are 10 futures strategies listed in C2 Leader Board. Their average Ratio of (Avg(MAE) / Avg(PL) - Winning trades) is 0.96, Max Drawdown is 29.2%. There is NO correlation between the ratio and MDD ( => low ratio doesn’t mean low risk).

I agree that a low ratio does not mean low risk. I also agree that it does not insure high profits, as you pointed out with the 2025 returns of ares. However, I do believe there is a HIGH correlation of systems that blow up and those with a high ratio. I can provide many recent examples, but don’t have the time or motivation to do the level of analysis needed to prove this theory.

Avg(MAE) / Avg(PL) - Winning Trades Only is a measure of entry precision and winner management. It filters out all losing trades and look only at the trades that ended in a profit.

ARES’ winning trades are well-managed with minimal drawdown. He has good entries/exits on the profitable side.

But his All Trades ratio (6.63) is much worse than his Winning Trades ratio.

Since his profitable rate is only 36.1%, another 63.9% is not profitable. High All Trades ratio (6.63) could be caused by the damaging effect of those 63.9% losing trades.

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