Cross-Asset Correlation Analysis
No asset moves in isolation. TRADEMEM enriches every annotated point with multi-asset context — checking what predefined reference assets are doing at the same moment, across the same timeframes.
How Cross-Asset Analysis Works
When the model identifies a point of interest on an asset, TRADEMEM automatically checks what was happening on a predefined set of reference assets (edges) at the exact same moment. Coverage verification runs across multiple timeframes to build a multi-dimensional view.
The Edge Universe
Edges are predefined reference assets — major indices, commodities, forex pairs, crypto benchmarks — that serve as market context anchors. The system synchronizes candle data across 5 timeframes and scores edge behavior around each annotated point.
Why Correlation Matters for Signal Quality
A buy signal on a stock that coincides with broad market strength, rising commodity demand and stable currency markets is fundamentally different from the same signal in isolation. Cross-asset correlation turns single-asset predictions into multi-dimensional intelligence.
From Single-Asset to Multi-Market Signals
Traditional signal providers analyze one chart at a time. TRADEMEM builds a coverage map across your edge universe for every decision point — giving you the kind of multi-market awareness that institutional desks rely on.
FAQ
What is an "edge" in TRADEMEM?
An edge is a predefined reference asset tracked alongside the primary analysis — stocks, ETFs, crypto or currencies that provide cross-market context.
How many timeframes are checked for correlation?
Coverage is verified across multiple timeframes to build a comprehensive view of inter-market behavior.
Can I choose which assets serve as edges?
Edges are predefined by the platform to ensure consistent, high-quality correlation data across the full asset universe.