Strategy Browser
The Strategy Browser is the front door to the database: filter 200,000+ backtested SPX 0DTE strategy variants down to a shortlist and send it to the Portfolio Builder.
The Strategy Browser is where every portfolio starts. It shows the full catalog of backtested SPX 0DTE strategy variants — MEIC, METF, ratio spreads and more — with pre-computed performance metrics, and gives you three tools to narrow it: the period configuration, the filters, and the Min Thresholds.

The layout
- Period Configuration (top left) — which slice of history all metrics are computed over. See Period, scope & variants.
- Scope & Strategy Variants (below it) — whose strategies you're looking at (database, your own imports, or both) and which strategy families.
- Filters (top right) — narrow by the strategies' parameters: width, stop loss, premium, entry time. See Filters.
- Min Thresholds (collapsible, under the filters) — narrow by the strategies' results: minimum MAR, CAGR, win rate and more. See Min Thresholds.
- Allocation bar — a buying-power gauge for what you've selected so far. See Account size & margin.
- Strategy Catalog — the results table. Every column is explained in Metrics & columns.
One thing to know before reading any number in the table: every metric is normalized to a standard $100,000 account, per contract, so strategies compare like-for-like. Your own account size affects the buying-power gauge and the Portfolio Builder's dollar figures — not the catalog metrics.
Adding strategies to a portfolio
Every row has a + Add button; added rows flip to ✓ Added and appear in the selected-strategies panel above the table, where each pick shows as a chip you can remove again.

- + Add on a row adds or removes a single strategy.
- Tick the checkboxes on several rows and + Add selected (n) adds just those.
- + Add all (n) bulk-adds every strategy that matches your current filters — useful after you've filtered hard.
- Go to Portfolio jumps to the Portfolio Builder with your selection.
The Deep Dive panel
Below the catalog, the Deep Dive · Cohort Shape panel describes the top N strategies (cohort sizes 300–2,000) that match your current filters: an entry-time distribution, a robustness scatter, a quality curve showing how concentrated the edge is, and width × stop-loss / width × premium heatmaps. It describes the cohort's historical shape — with ~10k+ variants, the top of any performance sort partly reflects selection bias, so treat these charts as context, not recommendations.
