3. 8. 2026

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Portfolio TimeMap

Most performance analytics answer one question: how good is this strategy? Net profit, profit factor, drawdown, Sharpe — all of it collapses a strategy’s entire life into a handful of numbers. But for a multi-strategy portfolio, there’s a second question that matters just as much and almost nothing shows you: cuando does each strategy en realidad trade?

That’s the gap TimeMap fills. It’s a StrategyQuant X ResultsPlugin that turns your portfolio’s order history into a time map — a bird’s-eye view of who was in the market, when, and whether it worked.

Qué it shows

TimeMap lays your portfolio out as a heat map en time:

  • One row per strategy, sorted by total time in market — your most-exposed strategies sit at the top.
  • Green blocks mark winning trades, red blocks mark losers, positioned exactly where they happened on the timeline.
  • A blue equity line overlays the whole thing on the right axis, so you can tie activity to portfolio value.
  • An optional orange SPY benchmark (fetched live) shows how a passive buy-and-hold would have done over the same window, normalized to your starting capital.

At a glance you can read the forma of your portfolio’s risk — something no stats tabla puede express.

Why timing es el hidden riesgo

Two portfolios can have identical returns and identical drawdowns and still be worlds apart in real-world risk. En difference es overlap.

If every strategy piles into the market at the same moments, you don’t have ten strategies — you have one strategy wearing ten costumes. When that regime turns, everything drops together. TimeMap makes this instantly visible: a vertical stripe of red across every row during the same period is the classic signature of systemic, correlated risk.

The opposite — strategies that light up at diferente times, filling each other’s quiet stretches — is genuine diversification. TimeMap lets you see complementary timing instead of assuming it.

Built para exploration

The map is interactive, and everything recomputes instantly with no re-backtest:

  • Window controls (All / 10y / 5y / 2y / 1y) zoom the time range so you can drill into a specific crisis or era.
  • Strategy chips let you toggle individual strategies on and off — the equity curve recalculates on the fly from whatever’s selected, so you can test “what if I dropped this one?” in a click.
  • Adjustable starting capital rescales the equity overlay.
  • SPY toggle drops the benchmark in or out.
  • The map scrolls vertically for large portfolios while the time and value axes stay pinned in place.

En details que make it usable

TimeMap es solo self-contained HTML archivo no Python, no backend, no configuración. En renders crisp SVG en cualquier resolution, supports ambos light dark SQX skins, handles carteras con thousands de pedidos without choking. Losing comercios son drawn primero ganadores layered en top, así que profitable estrategia dice green incluso donde comercios overlap. Instant comercios still show como thin markers así que nothing disappears.

En bottom línea

Stats tell you whether a strategy is good. TimeMap tells you whether your strategies belong together. For anyone building portfolios in StrategyQuant X, it turns an abstract worry — “are these correlated?” en something usted puede simply mira en see.

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