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Labs model workspace

Read the current outputs of company-built models in one workspace. Compare observed effects, horizons, source freshness and statistical support.

Checked against current definitions · 03 Oct 2026RU / EN
12 / 14Labs model workspace
Interactive interface · ArcDelta data
Opening the workspace…

Start here

  1. 01Select an asset, venue and forecast horizon. Add models from the company catalog.
  2. 02Read current conditions and compare conditional frequency with baseline, uncertainty and sample support.
  3. 03Open horizons, events or data to inspect the selected output. More models automatically reduce chart density.
Open tool ↗

Inputs

Real ArcDelta history and current observations, plus a separately maintained evidence-review registry.

Running Labs models requires Labs access. This guide is public.

General limitations

Historical samples and simulated outcomes do not establish a price-direction forecast. Small samples, overlapping events and changing regimes limit inference.

01

X → Y event frequencies

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Calculation
The conditional rate divides observed successful outcomes after X by evaluable X events. The baseline uses eligible outcomes in the comparison period. The effect is conditional rate minus baseline in percentage points.Rate(Y | X) = successful outcomes / evaluable X events; effect = Rate(Y | X) − baseline
Reading & controls
Read hits/events, baseline, difference and the 95% interval together. Horizons 5m, 15m, 1h and 4h are separate comparisons.
Limitations
Observed frequency is not a calibrated live probability. A wide interval or few events limits precision; viewed history is not untouched holdout data.
02

Range · ATR · realized volatility

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Calculation
Three distinct models use relative bar range, Wilder ATR relative to close, or root sum of squared log returns over a trailing hour. They compare elevated current readings with later volatility outcomes.
Reading & controls
Compare the three rows and horizons. For ATR, also read the matched range/volume control when available.
Limitations
Historical samples and simulated outcomes do not establish a price-direction forecast. Small samples, overlapping events and changing regimes limit inference.
03

Convergence · decorrelation

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Calculation
Convergence studies the absolute log price-ratio deviation from its trailing median. Decorrelation studies the trailing correlation of aligned five-minute returns and its later state.
Reading & controls
Select two different venues and inspect common timestamp coverage. Interpret the outcome definition of each model separately.
Limitations
Convergence is an observed price relationship. It does not demonstrate executable arbitrage after costs.
04

Imbalance · absorption response

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Calculation
The imbalance model studies signed aggressive flow relative to total executed volume. Absorption response adds price-body and opposing-close conditions; it is distinct from Footprint's per-row absorption marker.
Reading & controls
Inspect later movement frequency and the matched range/volume control. Open Events to see which closed observations qualify.
Limitations
Extreme flow is not an established directional signal. Model and Footprint marks use different units and event definitions.
05

Freshness, validity & reports

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Calculation
Input freshness is checked separately from statistical evidence. Reviews inspect later data, coverage, sample support, uncertainty and comparison controls; the public report contains aggregated results.
Reading & controls
Read reviewed/next-review dates. Research, supported, inconclusive, weakened, unsupported, insufficient_data and review_due describe evidence states. A new data epoch requires sample support to be reassessed.
Limitations
Fresh inputs do not make a model statistically supported. A due date does not automatically extend evidence validity.
Labs model workspace — TreVmS Terminal guide · TreVmS