They’re simple to convey, yet incredibly powerful in application. One of my favorite trading heuristics is this:
The best trades don’t look back.
This is a direct corollary to another principle you’ve heard me repeat many times:
The best trades immediately go in your favor.
Not only should the best trades work right away — they also shouldn’t keep coming back to test and re-test your entry level.
Why This Heuristic Exists
This principle holds true across nearly every trade type I can think of:
- Breaking news
- Breakouts
- Mean reversion
- Even buying the opening print of an IPO
The best IPOs open and are immediately off to the races. They don’t hesitate. They don’t drift back. And that raises an important question — why?
The answer is simple:
The very best opportunities are so compelling that those prices don’t last long.
An Extreme Example
Let’s take an exaggerated case to make the framework obvious.
Assume a stock trading at $15 is suddenly announced to be acquired for $20 in cash. Within seconds, the price will rush toward $20 — plus or minus a small adjustment for dividends, time value of money, or closing risk.
You are almost never going to see that stock pull back to $16 or $17.
Why?
Because buying demand overwhelms selling supply. Anyone willing to sell at $15 disappears instantly. While this is an extreme example, it provides a clean mental model for evaluating all other price moves.
Breakouts That “Need” Pullbacks
So what does it mean when a stock breaks out — and then pulls right back to the breakout level?
Many traders will only buy breakouts that pull back. What they often don’t realize is that this behavior exposes them to negative selection bias.
By definition, they are excluding the best breakout characteristics.
When a stock pulls back, it’s because it failed to attract enough momentum to push price meaningfully away from resistance. Buyers willing to pay increasingly higher prices have already been exhausted.
That doesn’t mean the trade can’t work — but as discussed in the Right Side of the V framework, expected value tends to deteriorate the more times price revisits the same level.
Applying This to Mean Reversion
This heuristic applies just as cleanly to mean reversion.
As a general rule, the more violent the panic, the sharper the snapback once it exhausts itself. In the very best capitulation events, there is a vacuum on the other side of the trade.
Everyone who was going to panic has already done so. Sellers disappear. Liquidity dries up. Price gaps higher simply because there is no one left willing to sell.
A Practical Example
Imagine Apple suddenly drops 8% in minutes on no news.
It may take time for the market to fully process the move, but you can be certain that plenty of participants are willing to buy Apple at:
- -6%
- -4%
- -2%
Now ask yourself — how many people are eager to sell Apple at those prices when it was trading 6% higher just minutes earlier, with no fundamental change?
Not many.
That imbalance is exactly why the best capitulations don’t pull back.
Time at a Level Hurts Expected Value
Regardless of strategy, I firmly believe this:
The more opportunities you have to buy at a given price, the worse the trade usually is.
As price spends more time meandering around a level:
- Win rate tends to decrease
- Reward becomes muted
- Expected value deteriorates
The best capitulations retrace immediately. The longer price lingers near the lows — like in the classic “not good” examples — the more impaired the expected value becomes.
Broader Implications
This heuristic has wide-reaching consequences.
First, traders who only play pullbacks are often limiting themselves to second-tier opportunities.
Second, traders who continually add size every time price revisits a level may unknowingly be compounding worse and worse expected value.
What looks like a strategy “not working” is often something subtler:
- The initial entry has strong expected value
- The adds are dragging the entire trade down
Reflection and Application
This is a topic worth sitting with.
Look at your best trades.
Do they immediately work and never look back?
If so, how can you build rules around this heuristic to:
- Size better
- Hold the best opportunities longer
- Bail faster on lower-quality setups
Final Thought
Heuristics like this aren’t about predicting every move. They’re about improving decision-making under uncertainty.
If you implement this concept thoughtfully, it can materially improve the performance of your strategies — not by doing more, but by doing less of what degrades expected value.
The best trades don’t look back.
Your job is to recognize them — and let them do what they’re meant to do.
