Research note · provenance-first

How a consensus model chased ARM's climb and finished a step behind

It trades only when ARM's trend reads on several clocks point the same way and a direction check agrees, leaning long most of the time. It cleared 55.88% of 34 trades for +241.16%, a solid haul that still came up short of buying the shares outright, and it sat through a 15.44% drawdown.

Published Jun 19, 2026
Symbol: ARMAsset: EquityStrategy: Momentum agreement

ARM put together a heavy two-year advance, and the interesting question is what a model that insists on agreement before it acts does with that kind of tape: here it banked a healthy share of the climb and still ended a stride behind the stock. What follows replays those fixed rules over ARM's stored history; it is a backtest, not a forecast or a recommendation, and the live sample is still too thin to grade.

Everything in the model hinges on one test: do ARM's trend grades agree? It scores the stock's direction on a fast, a middle, and a slow timescale, then sits on its hands unless a majority of those grades tilt together. When the tilt is upward it books a long; when the tilt is downward it books a short. The upward reading recurred more often on ARM, which is why 23 of the 34 positions were buy-side. Hit rate came in at 55.88% over the 34 trades, and the per-trade results compounded across a constant stake to +241.16%.

How the model is built, end to end.

The quantity the model leans on is whether ARM's separate trend clocks point one way together. When the short, medium, and longer reads disagree, the model reads that as an unsettled tape and keeps its powder dry; when a supermajority swing into line, that is its cue that a direction has taken hold. The reads are judged against ARM's own behaviour, so agreement counts only relative to how this stock usually trends. A divided set of clocks keeps the model flat; only a lopsided one lets a trade form.

Agreement among the clocks earns a look, not an order. Before it acts the model wants a separate direction check to nod along, which stops it from jumping at every burst that briefly lines up. When both the agreement and the confirmation are present it opens a position with a stop and a target set in advance. From there the trade resolves in one of three ways, and on ARM the settling reading did the heaviest lifting, closing more positions than either the target or the protective stop.

Three trend-clock dials swinging into the same direction pass through a labelled confirmation gate into a take-position state, with a divided set of dials branching to stand aside.
How the model reads ARM: when its trend clocks agree on direction and a confirming check nods, the gate opens to a position; a split set of clocks stands aside.

The illustration above traces the model across ARM in one pass: the several trend reads, the agreement they must reach, the confirming check, and the position that results. None of the pieces is exotic; the whole idea is restraint, holding fire until the clocks line up and the direction read confirms before any capital commits. Its lineage belongs in the frame too, the model began as one candidate among many in an automated search and earned its place only by clearing backtest and walk-forward checks, the path from idea to deployment standing behind every figure here.

At a glance

ARM top predictive features
Feature contribution
ARM exit breakdown
How trades close
ARM quality gates panel
Quality gates
Quality-gate status
GateActualThresholdStatusThreshold source
win rate55.88%>= 70.00%failcanonical registry standard
max drawdown15.44%<= 5.00%failcanonical registry standard
sample size34>= 30passcanonical registry standard
total return241.16%>= 100.00%passcanonical registry standard
expected return7.093%>= 5.000%passcanonical registry standard
Backtest summary
MetricValue
Total return241%
Win rate55.9%
Max drawdown15.4%
Expected per trade7.09%
Trades34
ARM cumulative profit over backtest window
Cumulative profit
ARM drawdown over backtest window
Drawdown
ARM trade PnL distribution
Trade PnL distribution
ARM monthly returns by month
Monthly returns
ARM price with signal regime overlay
Signal vs price

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

Walk-forward verification

Out-of-sample verification
MetricValue
Walk-forward match100%
Verified timestamps1,739
Signal correlation1

A trade walked through

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

The walked example is a long held about nine days. ARM's trend reads swung into agreement on the upside near 120 dollars, the direction check confirmed, and the model bought; it carried the position into the advance and closed at its profit target near 157 dollars for +30.79%. It is the model working as designed, a patient entry once the clocks aligned, an exit at the target once the move delivered.

Walked-through trade summary
MetricValue
Directionlong
Entry price119.99 USD
Exit price156.94 USD
Hold time9.0 days
Return+30.79%

What the full trade record shows

Across its 34 ARM trades the model won 19 and lost 15. The exits leaned on the settling reading: 14 closed when agreement faded, 12 were stopped out, and 8 reached the profit target.

Exit reasons across the full backtest
Exit reasonTradesShare
Signal exit1441.18%
Stop-out1235.29%
Take-profit823.53%

A split led by the settling reading is the signature of a model that rides confirmed trends and steps off when the clocks stop agreeing: most positions are closed by the fading vote rather than a hard target, and the stop catches the trades where a confirmed direction reverses early.

The biggest winner was a long that ran to its target for +33.30% over about seventeen days in May 2026, entered near 208 dollars and closed near 277. The patient winners tended to end on the settling reading, banking what the aligned trend gave before the clocks fell out of step.

The worst trade was a short stopped out for -13.56% over three days in early June 2026; that loss is tied to the equity curve's deepest drawdown of 15.44%, and it is the reason the drawdown gate is the one that bites hardest.

No single trade carries the record, and with ARM up well over its money across the window, the lesson of the book is the slice the model left behind every time it waited for the clocks to agree before it would act.

How does this compare to just holding ARM

Over the same window the model was tested on, simply buying ARM and holding it would have done a touch better. Setting the two side by side shows whether the rule earned its keep or merely rode a strong tape. Here the honest read is that it rode along well but finished just behind, and the tiles below put numbers on the gap.

ARM model cumulative return overlaid on buy-and-hold cumulative return
ARM model vs buy-and-hold over the backtest window.
Model versus buy-and-hold
MetricValue
Model total return+241.16%
Buy-and-hold+276.88%
Difference-35.72%

How well does the model reproduce its tape?

Walk-forward verification checks whether the saved rule path reproduces the expected signal behaviour on held-out timestamps it was not built on. It is a consistency and replay-integrity test, not proof the model will make money live. A clean reproduction means the deployed rules behave like the studied rules; it says nothing about whether ARM will keep trending 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 line up 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 stumbles trace back to the same demand it makes of its trades, agreement. Its sharpest loss was a short: the clocks tipped down near 343 dollars, the model sold, and ARM rallied straight back, stopping the trade out for -13.56% in early June 2026. Because the agreement rule keeps it leaning long, a clean down-vote that proves wrong is its most expensive mistake, and the quieter cost is patience itself, every stretch the clocks stayed split was advance it watched without a position.

Failure-mode summary
MetricValue
Losing trades15
Worst single-trade return-13.56%
Worst in-trade drawdown-15.44%

Three things are worth watching if this ever trades at size. The first is drawdown: the worst stretch in the backtest was about 15.44%, deeper than the gate allows, so losses can land hard. The second is the long-leaning book, because a model that mostly buys has little built-in defence when a confirmed direction snaps back. The third is the distance between live and backtested behaviour, the first sign the agreement reads are no longer marking the same moves.

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: June 2024 to June 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 ARM over the June 2024 to June 2026 replay window.
  • The model is compared against simply owning ARM over the same window.