Methodology

Volum Invest AS publishes systematic, quantitative investment signals. This page describes, in plain language, how those signals are produced. It is provided to satisfy the methodology-disclosure expectation under MAR Article 20 and Commission Delegated Regulation (EU) 2016/958.

What the model does

Each instrument in our universe is scored by a multi-factor composite model that combines several families of evidence:

• Momentum — the strength and direction of the price trend over short and longer horizons.
• Volume — whether trading participation is confirming or fading.
• Volatility — the level and trend of realised volatility.

These factors are combined into a single composite score, and instruments are ranked cross-sectionally (relative to one another) by that score. Buy, sell, and trim signals follow from where an instrument's score sits relative to the model's entry and exit thresholds. The process is fully systematic — no discretionary judgment is applied to individual signals.

The detailed factor definitions, transformations, weights, and threshold values are proprietary and are not disclosed.

Universe

The model covers a broad universe of roughly 1,500 liquid stocks across the United States, Canada, the Nordics and the rest of Europe, plus a dedicated set of approximately 70 ETFs spanning broad-market exposure, sector SPDRs, thematic and leveraged products, and international funds (including Asia-focused ETFs). Instruments are included based on data availability and liquidity; names without sufficient price history are excluded. The exact selection rules are proprietary.

Update frequency

Signals are recomputed every 15 minutes throughout the trading day, using the latest available market data.

Data sources

Price, volume, and volatility inputs are sourced from public market data via the Yahoo Finance (yfinance) interface, using dividend-adjusted open/high/low/close (OHLC) data. Backtests use the same data.

Performance

Unless a figure is explicitly labelled otherwise, historical performance shown on the site is backtested / hypothetical — it is produced by applying the current model rules to past data and does not represent signals that were published live at the time. Backtested performance has inherent limitations and is not a reliable indicator of future results. See the Full Disclaimer.

Changes to the methodology

The methodology evolves as the model is refined. This page describes the current methodology and will be updated to reflect material changes.

Last updated: 2026-05-25