How a channel-breakout model traded VRT fast and often, and still trailed the stock
It waits for VRT to break clear of a price channel and trades the continuation, long on an upside break and short on a downside one. It ran the busiest book here, 109 trades, won 61.47% of them for +196.62%, yet still finished behind a stock that nearly quadrupled.
VRT was a strong mover over the window, and the question worth asking is what a fast breakout rule does with a trending tape: here it traded constantly, took both sides, kept a solid win rate, and still ended up behind the shares it was trading. This is a backtest of one fixed rule set replayed over VRT's saved history, not a forecast or a recommendation, and the live sample is still too small to grade.
Everything hinges on the breakout. A price channel is framed around VRT and the rule waits for the stock to push past one of its boundaries; a push through the upper boundary opens a long, a push through the lower one opens a short, the entry betting that a fresh move keeps running rather than stalling. Riding continuation instead of fading it, and on the heaviest trading calendar of this set, the model converted 61.47% of its 109 positions to winners and arrived at +196.62% on a constant stake, holding most trades just a few days.
How the model is built, end to end.
The context the model watches is the channel itself, a band tracking VRT's recent range. While price stays inside the band the model does nothing; the band is simply the backdrop. Only a decisive push past an edge counts as a signal, and the direction of that push sets the direction of the trade. Because the channel rides VRT's own recent range, what qualifies as a break is judged against how far the stock has lately traveled, not against any fixed outside level.
A break is the trigger, not the whole trade. When price clears an edge the model opens in the direction of the break with a stop and a target set in advance, then lets the position run on those rails. With over a hundred trades and short average holds, the book turns over quickly: a clean continuation reaches the target, a failed break snaps back into the stop, and a smaller share time out when neither happens. On VRT the target led the way, closing more positions than the stop or the timed exits.

The illustration above traces the model across VRT end to end: the channel drawn around price, the test for a clean break beyond an edge, and the long or short the break produces. Each step is ordinary; the model's character is in trading only the break and then staying with it until a level is hit. The model's lineage belongs in the frame too. It started as one candidate among many in an automated search and reached deployment only by clearing backtest and walk-forward checks, the path from idea to live rules behind every number here.
At a glance



| Gate | Actual | Threshold | Status | Threshold source |
|---|---|---|---|---|
| win rate | 61.47% | >= 70.00% | fail | canonical registry standard |
| max drawdown | 9.73% | <= 5.00% | fail | canonical registry standard |
| sample size | 109 | >= 30 | pass | canonical registry standard |
| total return | 196.62% | >= 100.00% | pass | canonical registry standard |
| expected return | 1.804% | >= 5.000% | fail | canonical registry standard |
| Metric | Value |
|---|---|
| Total return | 197% |
| Win rate | 61.5% |
| Max drawdown | 9.73% |
| Expected per trade | 1.80% |
| Trades | 109 |





These figures come from a backtest of the model on VRT, scored against fixed acceptance gates, not from a live track record.
Walk-forward verification
| Metric | Value |
|---|---|
| Walk-forward match | 100% |
| Verified timestamps | 1,659 |
| Signal correlation | 1 |
A trade walked through


The walked example is a long held about a day. Price broke clear of the upper channel edge, the model bought near 77 dollars, and the continuation carried it to its target near 90 dollars for +17.00%. It is the breakout rule at its best, an upside break taken at once and an exit at the target before the move could fade.
| Metric | Value |
|---|---|
| Direction | long |
| Entry price | 76.72 USD |
| Exit price | 89.76 USD |
| Hold time | 1.0 days |
| Return | +17.00% |
What the full trade record shows
Across its 109 VRT trades the model won 67 and lost 42. The exits leaned on the target: 54 reached the profit target, 38 were stopped out, and 17 closed on a time exit.
| Exit reason | Trades | Share |
|---|---|---|
| Take-profit | 54 | 49.54% |
| Stop-out | 38 | 34.86% |
| Time exit | 17 | 15.60% |
A target-led split on a busy breakout book fits a stock that trended: when a break followed through, positions reached their targets, while the stop absorbed the false breaks and a smaller set timed out when a move went nowhere.
The biggest winner was a long that ran to its target for +23.73% over a single day in April 2025 off a clean upside break. With short average holds, the standout winners tended to be fast continuations that hit the target before momentum faded.
The worst trade was a short break that reversed for -9.25% over about three days in April 2025; that single loss is also the equity curve's deepest drawdown and the reason the drawdown gate did not clear.
No single trade carries the record on a book this large, and the lesson of the set is the trade-off a fast breakout rule lives with, a healthy win rate and a tight drawdown, paid for with a slim average edge per trade and a climb it never fully matched.
How does this compare to just holding VRT
Over the same window the model was tested on, simply buying VRT and holding would have done better. Lining the two up shows whether the rule earned its keep or merely rode a strong tape. The honest read is a bit of both, a good share captured but not the full climb, and the tiles below put numbers on the distance.

| Metric | Value |
|---|---|
| Model total return | +196.62% |
| Buy-and-hold | +297.88% |
| Difference | -101.26% |
How well does the model reproduce its tape?
Walk-forward verification checks whether the saved rule path reproduces the expected signal behavior on held-out timestamps it was not built on. It is a consistency and replay-integrity test, not proof of live profit. A clean reproduction means the deployed rules behave like the studied ones; it says nothing about whether VRT will keep breaking out of its channel the way it did across the test window.
| Metric | Value |
|---|---|
| Match rate | 100.0% |
| Correlation | 1.000 |
| Alignment | Aligned |
In live trading the model has been quiet so far, with too few signals to set beside the backtest. Until more live trades accumulate, the backtest is the only evidence available, and it should be read as exactly that, a study of how the rules behaved on saved history.
When this approach fails
The model's failures come from the same place as its wins, the break. Its standing weakness is the false breakout: price clears an edge, the model commits, and the move reverses into the stop, which is how the deepest trade lost 9.25% on a short break that snapped back in April 2025. A high trade count means these failed breaks accumulate quickly, and the thin average return per trade is what kept the expected-return gate from clearing even with a healthy win rate.
| Metric | Value |
|---|---|
| Losing trades | 42 |
| Worst single-trade return | -9.25% |
| Worst in-trade drawdown | -9.73% |
Three things are worth watching if this ever trades at size. The first is the false-breakout rate, since every break that reverses feeds straight into the stop. The second is the slim average return per trade, which on this busy book is what left the expected-return gate unmet. The third is the gap between live and backtested behavior, the first sign VRT is no longer breaking out of its channel the way it did in the study.
Risk and honest limits
On this run the model's automated checks logged a caution rather than a clean pass. It is one more reason to read everything here as backtest evidence about the rules, not a verdict on the stock.
Lifecycle
Where we are
These figures are a backtest, not a live track record. As real trades accumulate, a live-performance section can be added; until then, read every number here as evidence about the rules on saved history.
Sources
This article is based on Stonewell One research, including backtesting, walk-forward verification, deployment monitoring, and model-risk review.Trade-level entries, exits, and holding times come from Stonewell One's backtest of VRT over the March 2024 to April 2026 replay window.The model is compared against simply owning VRT over the same window.