Differentiator Product

QL Signal Shadow

Most tools tell you what the chart says or what an AI thinks. QuantLogix publishes a factor-transparent signal — and Signal Shadow is the only product that prices the gap between that signal at entry and what you actually did. Import your trades, we look up the engine's composite on each entry date, and show adherence, the conviction tax, and what a signal-filtered book would have returned on the same capital.

QL Mirror QL Fill Lab
🔒 Stateless — your trades are graded in memory and never stored

Import your record CSV paste or file — headers auto-detected

Waiting for data
Required: date + ticker + return (or entry/exit prices). Optional: side (defaults to buy). Minimum 8 trades. We look up the QuantLogix composite from daily signal history at each entry date — tickers without history are flagged, not guessed.

Actual vs Shadow Book uniform 10% slot replay

Your record Signal-aligned only

Fix First

Worst Signal Fights counter-signal entries ranked by return

Run an audit to see trades where you entered against the engine.

The Three-Lab Verdict discipline · conviction tax · shadow spread

QL Signal Shadow is diagnostic research, not investment advice. Signal history is looked up from QuantLogix's daily capture — if a ticker predates our history window, that trade is excluded from adherence math. Nothing you import is stored. Adherence rule: buy when composite ≥60, sell/short when ≤40 — same as the paper-trading ledger's signal_adherent flag.