What does "quantitative" actually mean in practice? +
It means every decision the system makes — entry, exit, position size — is determined by a mathematical model applied to market data. There is no human discretion, no overrides, no second-guessing the signal. The model runs. The signal is produced. The rules execute. This removes the single biggest risk in investment management: the human error of acting on emotion rather than evidence. Quantitative does not mean the system is always right. It means it is always consistent — and consistency is what produces compounding over time.
Why does trend following work? +
Markets trend because of structural features of investor behavior: slow information dissemination, institutional momentum, forced buying and selling, and regime persistence. When a trend begins — in any asset class — it does not instantly reflect in every investor's portfolio. Capital moves gradually. The trend runs until it exhausts the available momentum. A systematic trend-following system is simply a disciplined way to participate in that process across many markets simultaneously, without the cognitive errors that prevent most investors from holding through the inevitable short-term noise.
What does "dynamically volatility-adjusted" mean? +
It means position sizes are not fixed — they change continuously based on how volatile each market is. When a market becomes more volatile, the system automatically allocates less capital to it, so that the dollar risk per position stays constant even as the market's behavior changes. When volatility falls, the allocation can grow. The subscriber selects a risk level — how much of their capital they are willing to put at risk per position — and the system sizes every position dynamically to honor that selection. Leverage is the output of this process, not an input chosen arbitrarily.
Why does the system hold some positions longer than others? +
Because the exit rule is signal-driven, not calendar-driven. A position stays open as long as the signal supports it — whether that is four days or four months. Different markets have different signal decay profiles: some trends end abruptly, others fade slowly. The exit threshold for each market is calibrated to how that specific market's signal tends to behave when a trend is ending. The result is that positions in fast-moving markets tend to be shorter, and positions in sustained macro trends tend to be longer. The system never forces an exit arbitrarily.
What happens when the system is wrong? +
It exits quickly and moves on. The conviction threshold and signal-driven exit rules are specifically designed so that a wrong position closes as soon as the signal fails — not when a stop-loss price is hit, not on a calendar date, but when the evidence that opened the position is no longer there. This is the asymmetric structure: losses are fast and contained; gains run as long as the trend runs. The system does not need to be right most of the time to produce strong returns. It needs to cut losses small and let winners compound — which is exactly what systematic signal-driven exits enable.
Who built this and why is there no names page? +
The Sophus Quant research team is a group of engineers and quantitative researchers. We lived through the dot-com collapse and the GFC — both formative experiences that defined our approach. The research team maintains privacy by design. We believe the methodology and the twelve-year track record speak for themselves without requiring names attached to them. The work either holds up to scrutiny or it does not. Everything you need to evaluate it is on this site.
