There is a winning trade sitting in your log right now that you closed too early, and your P&L will never flag which one it was.
Not a loss. Not a blown stop. Not even a bad trade.
A trade that worked exactly as planned, moved in your favor, and got closed anyway, well short of the level the plan itself had already set as the target.
The stop held. The setup was right. The only thing that changed was how big the open profit felt.
A 1979 study on how people value gains and losses explains why that feeling overrides a written plan, and a 1985 paper gave the resulting habit a name most traders have never heard outside an academic journal.
You'll get the exact math showing how this one exit habit turns a genuinely profitable 45% win rate into a losing one without touching the entry, the stop, or the win rate at all, plus a 3,000-account simulation putting a specific dollar figure on what it costs an account that keeps doing it.
Introducing The Short Leash Trade.
A Trading Habits Report
The Short Leash Trade
The winning trade that got closed for a fraction of what the plan itself was already asking for, worked out in full.
- Length 20 pages, with 7 original charts and two worked case studies
- Author TradingHabits.com
- Format PDF, delivered as an instant download right after checkout
- Covers The disposition-effect research behind cutting winners short, the exact expectancy math it destroys, two worked case studies, and a 3,000-account Monte Carlo simulation comparing structural-target exits against short-leash exits
This report breaks down the research, the math, and the numbers on one specific decision.
What's Inside
20 Things This Report Actually Says
- 01Why this report is built as the exact mirror image of every other bad-exit report in this shop.Page 2
- 02The exact dollar example this report uses to define what a "realized R-multiple" actually is.Page 3
- 03A 1979 study found the same person's own sense of value bends two completely different ways depending on one single thing. What that one thing is.Page 5
- 04A 1985 paper gave this exact trading behavior its name, built on three specific psychological ingredients working together. What those three are.Page 6
- 05A 1998 study of roughly 10,000 actual brokerage accounts found investors sold their winners at a meaningfully higher rate than their losers. What the sold winners went on to do compared to the losers that got kept.Page 7
- 06A 2005 study went straight to professional futures floor traders on an actual exchange to see if this bias survives genuine trading experience. What separated the best performers in that study from the rest.Page 7
- 07The exact entry price, stop price, and dollar risk on this report's first worked case study, plus the one price it needed to reach for the plan's own target.Page 8
- 08The exact day the position in Case 1 actually got closed, and how many days later price reached the target anyway.Page 8
- 09The exact tick count Case 2's trade got closed at, and how long price paused before it kept going.Page 9
- 10The exact number of ticks price eventually reached, and how many minutes after the early exit it got there.Page 9
- 11The exact per-trade expectancy, in R, of a 45%-win-rate setup when its winners are allowed to reach their own structural target.Page 10
- 12What that same 45% win rate and the same stop turn the expectancy into once every winner gets closed on a short leash instead.Page 10
- 13Which one of this report's four psychological triggers it says draws on the identical limited resource this shop's own decision-fatigue report covers in full.Page 12
- 14The exact median realized R-multiple on a winning trade closed at its structural target, versus closed on a short leash.Page 13
- 15What this report says a tight, narrow cluster of realized winners actually signals about a trading habit versus a genuine process.Page 13
- 16How many simulated accounts, and how many trades each one took, in this report's own Monte Carlo simulation.Page 14
- 17The exact share of short-leash accounts already underwater by trade 50, against how few structural-target accounts.Page 15
- 18What a $25,000 account risking $250 a trade turns into, in dollars, under each of the two exit habits after 150 simulated trades.Page 15
- 19How wide the gap between the two groups' median result gets by trade 50, and how much wider it gets by trade 150.Page 16
- 20The 5-line audit this report gives you for finding this exact pattern already sitting in your own last 20 winning trades.Page 18
Read this once and every winning trade you close gets measured against the plan's own target instead of how big the number on the screen feels.
HABITS
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Behind The Report
Why A Small Sure Gain Feels Better Than It Should
The Concept
A stop is a bet about how far price can move against a position before the idea is wrong. A target, or a trailing-stop rule, is the other half of that bet: a stated answer, chosen before entry, to how far the trade is allowed to run. The short leash trade is what happens when only the stop half gets honored, and the winning half of the trade gets closed early anyway, purely because the open profit started to feel worth protecting.
It is not a report about taking profits. It is about the gap between the exit a plan specifies and the exit that actually happens, a gap that opens up on winning trades specifically, which is exactly why it almost never shows up on a loss report.
Where It Comes From
Daniel Kahneman and Amos Tversky's 1979 prospect theory paper in Econometrica found that people's value function is concave for gains and convex for losses: each added dollar of profit matters less than the one before it, which rewards locking a gain in early, while each added dollar of loss still feels worth risking more to avoid.
Hersh Shefrin and Meir Statman named the trading-specific version of this pattern in a 1985 Journal of Finance paper, “The Disposition to Sell Winners Too Early and Ride Losers Too Long,” built on that same value function plus mental accounting and regret avoidance.
Same 45% Win Rate, Same Stop. One Exit Rule Changed.
Illustrative, matching this report's own Figure 2: identical 45% win rate and identical -1R stop on losers in both columns. The only variable changed is how the winning half of the trades gets closed. The report's own Figures 5 through 7 carry this same comparison through a 3,000-account Monte Carlo simulation.
Try It: Where Did This Winner Actually Get Closed?
Modeled from this report's own realized-winner distributions (page 13): a structural-target exit clusters around a 1.99R median, a short-leash exit clusters around a 0.55R median. Drag the slider to see which zone a given realized gain actually falls in.
Background only. The report itself works the full expectancy math, the two case studies, and the 3,000-account simulation behind these numbers.
Common Questions
Isn't taking a smaller, certain profit just good risk management?
Taking profit at a planned target is good risk management. This report is about the gap between that planned target and an earlier, unplanned exit driven by how big the open gain feels, a gap that the expectancy math on page 10 shows can flip a genuinely profitable system into a losing one.
How is this different from The Round Trip, also in this shop?
The Round Trip is about a winning trade that never gets closed at all and gives the gain back. This report is about the opposite habit: a winning trade closed too early, well before the plan's own target, so the additional gain is never captured in the first place.
What if my plan doesn't use a fixed target?
The report covers trailing-stop rules and measured-move targets equally. The definition on page 3 is any structural rule decided before entry, not specifically a fixed price target.
Does the slider tool above save anything I enter?
No. It runs entirely in your browser and resets on refresh. Nothing is saved, logged, or sent anywhere.
Sources & Further Reading
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Kahneman, D., & Tversky, A. (1979). “Prospect Theory: An Analysis of Decision under Risk.” Econometrica, 47(2), 263-291.
The foundational value-function research this report's core chart is built from.
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Shefrin, H., & Statman, M. (1985). “The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence.” Journal of Finance, 40(3), 777-790.
The paper that named the disposition effect and modeled the mechanism behind it directly.
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Odean, T. (1998). “Are Investors Reluctant to Realize Their Losses?” Journal of Finance, 53(5), 1775-1798.
Brokerage-account evidence that winners get sold at a higher rate than losers, and go on to outperform.