KALMAN is MSR Advisors' signal intelligence platform — turning complex market data into a clear, daily conviction score for self-directed investors.
KALMAN evaluates every symbol across 9 independent market factors — trend, momentum, volatility, sector alignment, and more — condensed into a single conviction score. No guesswork. No noise.
Every factor is shown in full so you can see exactly where the weight of evidence sits — and where the risk is hiding.
KALMAN doesn't replace your analysis — it systematizes it. Here's who gets the most out of it.
Built for self-directed investors who want systematic clarity — not more opinions.
Every point in the conviction score is earned by a specific market condition. No black boxes. No hidden inputs.
| Factor | Max Pts | What it measures |
|---|---|---|
| OTT Trend | 20 | VAR adaptive moving average alignment — the primary trend filter |
| 200-Day SMA | 15 | Long-term trend regime — price above or below the 200-day mean |
| VIX Regime | 15 | Fear gauge — low VIX favors longs; elevated VIX signals caution |
| 50-Day SMA | 10 | Medium-term trend confirmation — intermediate momentum filter |
| RSI (14) | 10 | Relative strength index — avoids overbought entries, confirms momentum |
| TLT Flow | 10 | Bond market signal — TLT above 50-day SMA indicates risk-off rotation |
| QQQ Alignment | 10 | Tech sector confirmation — Nasdaq in sync with the setup direction |
| MACD | 5 | Momentum crossover — MACD line vs signal line direction |
| Signal Freshness | 5 | Recency of the OTT crossover — rewards recent, high-quality entries |
The 100-point scale is divided into three actionable conviction levels — each backed by historical backtesting on SPY OTT crossovers.
Stop losses are set at 2× ATR(14) from entry — sized to the symbol's actual volatility, not a one-size-fits-all percentage.
KALMAN is designed to fit into your morning routine — not replace your judgment, but sharpen it.
KALMAN is currently in private beta with an invited group of self-directed investors. Sign in below if you've received access.
Sign In to KALMAN →