Operations
Favorites
Results worth keeping get a star. A starred result becomes a favorite: it carries a name you choose and lands on the Favorites board, next to your other keepers from every strategy and every ticker.
Starring and naming
- From the results table — click the ☆ in a row (reading the results). A prompt asks for an optional name; leave it blank and the favorite is named after the strategy's short hash (e.g.
#a25cfe1e). - From the strategy detail — the ☆ next to the strategy id in the header does the same.
- In bulk — select rows with the checkboxes and press Add to Favorites.
Rename any time via the ✎ next to the name. Names are yours — "MES opening drive v2" beats a hash when you come back a week later.
The board
Favorites (sidebar → Favorites) lists every starred result: name, Source (which strategy and run it came from), symbol · timeframe, verdict chip, an equity sparkline, the key metrics (fitness, net PnL, profit factor, Sharpe, max drawdown, walk-forward efficiency), Monte Carlo robustness, and when you starred it.
- Filter by symbol with the chips across the top.
- Sort by any column; Density toggles comfortable/compact rows (the same preference every table honors).
- Compare side-by-side — select 2–5 favorites for overlaid equity curves and a metric-by-metric table with the best value highlighted, across strategies and tickers.
- Export… writes the selected favorites' metrics to CSV.
- Open jumps to the result's detail screen; Export jumps to its strategy's Export stage.
Unstarring is safe
Removing a favorite never deletes the underlying result — it stays in its run's results table and can be starred again any time. Re-starring soon after brings back the last name you gave it.
Favorites follow your account
Favorites back up privately, like the rest of your work (Account & sync). On a fresh install they're restored with your library; a restored favorite whose full result data hasn't been produced on that machine still shows its name and sparkline, with the unavailable metrics dashed. Favorites are private to your account — there is no sharing and no cross-user visibility.