Building a watchlist
Two ways to populate one:From scratch
- Click + next to the watchlist picker
- Name it (e.g., “AI infrastructure”)
- Add tickers — either typed in or pasted as a comma/newline-separated list
From a sector
- Click Browse Sectors in the top controls
- Pick a sector (e.g., Technology)
- Optionally filter by industry, market cap, or include/exclude ETFs
- Click Load — it loads as a temporary watchlist
- Save it (with the
+action) if you want to keep it
The heatmap view
The default rendering of a watchlist is a heatmap grid — one tile per ticker, color-encoded by performance over the active timeframe.Color encoding
The heatmap uses the same scheme as the Indices cards:- Bright green = top performers (95th+ percentile of today’s distribution)
- Light green = upper quartile
- Neutral = middle
- Light red = lower quartile
- Bright red = bottom decile
Two display modes
Toggle in the controls:- % mode — color encodes raw percentage move
- σ (sigma) mode — color encodes the move relative to the ticker’s own volatility
Timeframes
The “usual timeframes” toggle works the same as on Indices: 1D, 1W, 1M, 3M, 6M, YTD, 1Y, plus a Custom date range.The performance table view
For lists where you want numbers rather than colors, switch to the table view. Sortable by any column — return, vol, sigma, current price, etc.History view
The history tab shows how the watchlist itself has performed over time, treating each list as an equal-weight basket. Use it to:- See which of your themes are working over weeks/months
- Compare a custom list to SPY or a relevant ETF
- Spot regime shifts in a basket before individual tickers obviously break out
How most people use it
- One watchlist per theme — not one giant list. AI, energy, EM, crypto-related, etc.
- Heatmap first, table second — heatmaps catch outliers in 2 seconds; tables answer the follow-up
- Sigma mode when comparing across cap sizes — keeps the eye honest
- History view weekly — to see if your theses are actually playing out