Research note · provenance-first

How a channel-breakout model edged past INTC by trading both sides of the move

It frames a monitored INTC reading inside a channel around its moving average and acts when price pushes past an edge, taking the breakout in either direction. It won 73.17% of 41 trades for +278.40% and finished a touch ahead of holding the stock, though it carried a wide 31.43% drawdown.

Published Jun 03, 2026
Symbol: INTCAsset: EquityStrategy: Volatility-channel breakout

By trading the way INTC moved instead of guessing where it would go, a channel-breakout model finished a step ahead of simply holding a stock that roughly tripled. This is a backtest of those fixed rules replayed across INTC's own saved history, not a forecast or a recommendation; the live sample is still too small to grade.

The model wraps a moving average of a monitored INTC reading in a channel whose upper and lower rails stretch apart as the tape gets noisier, and it waits for price to break clear of a rail before doing anything. Break through the top and it goes long; break through the floor and it goes short, each entry a wager that the move that just escaped the channel carries on. Taking signals on either side, the rule turned 73.17% of its 41 trades into winners and summed to +278.40% at one fixed stake.

How the model is built, end to end.

The structure the model lives inside is a channel drawn around a monitored INTC reading: a moving average in the middle with an upper and a lower edge that stretch when the tape turns volatile and pull in when it quiets. While the reading stays between the edges, the model does nothing and treats the range as ordinary. The channel is the entire context; only a decisive push past one of its edges registers as a signal worth acting on.

An edge crossing is the trigger, and direction comes straight from which edge gives way. A push above the upper edge opens a long and a push below the lower edge opens a short, each carrying a stop and a target fixed in advance. From there the trade runs on those rails, and on INTC the slower exits did the most work: time-based exits and target hits closed far more positions than the protective stop, which fits a model built to ride a move once it leaves the channel.

A price line pushing decisively past the upper edge of a channel around a moving average passes into a take-position state, with a reading resting inside the channel branching to stand aside.
How the model reads INTC: when price pushes past a channel edge around its moving average, the model takes the breakout long or short; a reading inside the channel stands aside.

The illustration above traces the model across INTC in one line: the monitored reading, the channel drawn around it, the push past an edge it waits for, and the long or short that follows. No single step is elaborate; the model's character is in doing nothing until price commits past an edge, then taking the side that broke. The model's lineage belongs in the frame too: it began as one candidate inside an automated search and survived only by clearing backtest and walk-forward checks, the road from idea to deployment behind each figure here.

At a glance

INTC top predictive features
Feature contribution
INTC exit breakdown
How trades close
INTC quality gates panel
Quality gates
Quality-gate status
GateActualThresholdStatusThreshold source
win rate73.17%>= 70.00%passcanonical registry standard
max drawdown31.43%<= 5.00%failcanonical registry standard
sample size41>= 30passcanonical registry standard
total return278.40%>= 100.00%passcanonical registry standard
expected return6.790%>= 5.000%passcanonical registry standard
Backtest summary
MetricValue
Total return278%
Win rate73.2%
Max drawdown31.4%
Expected per trade6.79%
Trades41
INTC cumulative profit over backtest window
Cumulative profit
INTC drawdown over backtest window
Drawdown
INTC trade PnL distribution
Trade PnL distribution
INTC monthly returns by month
Monthly returns
INTC price with signal regime overlay
Signal vs price

These figures come from a backtest of the model on INTC, scored against fixed acceptance gates, not from a live track record.

Walk-forward verification

Out-of-sample verification
MetricValue
Walk-forward match100%
Verified timestamps1,660
Signal correlation1

A trade walked through

Two real INTC trades with entry, hold, exit, direction, and return from the saved replay
One winning and one losing INTC trade from the saved backtest replay, entry direction, hold path, and exit type marked along the time axis.
INTC walked-through trade with entry, exit, and intra-trade extremes marked on the price line
A walked-through INTC trade, entry, exit, and intra-trade extremes.

The walked example is a long held about thirteen days. Price pushed above the channel's upper edge near 19 dollars, the model bought the breakout, and it carried the position upward, closing at its profit target near 22 dollars for +17.07%. It is the model working as intended, a long taken on a clean break past the edge and ridden until the target was reached.

Walked-through trade summary
MetricValue
Directionlong
Entry price19.16 USD
Exit price22.43 USD
Hold time13.0 days
Return+17.07%

What the full trade record shows

Across its 41 INTC trades the model won 30 and lost 11. The exits leaned on the slower paths: 18 closed on a time-based exit, 18 reached the profit target, and 5 were stopped out.

Exit reasons across the full backtest
Exit reasonTradesShare
Signal exit1843.90%
Take-profit1843.90%
Stop-out512.20%

An even split between time-based exits and target hits, with few stop-outs, is the signature of a model that rides breakouts and lets most positions mature: when a break follows through it reaches the target or runs out its clock, and the protective stop only catches the breaks that snap straight back.

The biggest winner was a short that ran for +31.18% over about twenty-six days from late 2024 as INTC fell out of its channel. The fastest winner was a short that reached its target for +17.08% in roughly two days, a clean break that followed through quickly.

The worst trade was a short stopped out for -31.43% over about six days in September 2025 when INTC rallied back through the edge; that single loss is also the equity curve's deepest drawdown, and it is the reason the drawdown gate is the one that bites.

No single trade carries the record, and with the model finishing just ahead of a tripling stock, the lesson of the book is that trading both sides of the channel was enough to keep pace, even with one deep loss against it.

How does this compare to just holding INTC

Over the same window the model was tested on, simply buying INTC and holding it would have returned a little less. Setting the two side by side shows whether the rule earned its place, and here it did, finishing a touch ahead of the stock by trading both sides of the channel. The tiles below put numbers on that narrow edge.

INTC model cumulative return overlaid on buy-and-hold cumulative return
INTC model vs buy-and-hold over the backtest window.
Model versus buy-and-hold
MetricValue
Model total return+278.40%
Buy-and-hold+259.08%
Difference+19.32%

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 the model will earn money live. A clean reproduction means the deployed rules behave like the studied ones; it says nothing about whether INTC will keep breaking past its channel edges the way it did across the test window.

Walk-forward replay checks
MetricValue
Match rate100.0%
Correlation1.000
AlignmentQuiet

In live trading the model has been quiet so far, with too few signals to compare against the backtest. Until more live trades accumulate, the backtest is the only evidence there is, 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 losses come from the same place as its trades, the breakouts that fail. Its sharpest one is a break that snaps back: price clears an edge, the model takes the side, and the move reverses, which is how the deepest trade lost 31.43% on a short stopped out in September 2025 when INTC rallied against it. Because it commits to whichever edge breaks, a false break in either direction can run hard against the position, and this name can reverse far enough to reach a deep stop before the model gives up. The drawdown that follows is the cost of staying with a move that did not hold.

Failure-mode summary
MetricValue
Losing trades11
Worst single-trade return-31.43%
Worst in-trade drawdown-31.43%

Three things are worth watching if this ever trades at size. The first is drawdown: the worst stretch in the backtest was about 31.43%, well past the acceptance bar, and a failed break can put a large loss on the board. The second is the model's reliance on follow-through, since a tape full of false breaks would punish it on both sides. The third is the gap between live and backtested behavior, the first sign price is no longer breaking past the channel edges the way it did across the test window.

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

Status: backtestedBacktest window: May 2024 to May 2026

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 INTC over the May 2024 to May 2026 replay window.
  • The model is compared against simply owning INTC over the same window.