Custom Columns and Watchlist Tips on TradingView

The previous lesson covered building and organizing watchlists into separate, purposeful lists. This lesson goes one layer deeper - customizing what each row in a watchlist actually shows, so a quick glance tells you far more than just a symbol name and its last price.

Beyond Just a Symbol and a Price

By default, a watchlist row typically shows a symbol, its last traded price, and perhaps a basic change indicator. That’s useful, but limited - it doesn’t tell you which symbols are moving the most today, which have unusually high volume, or which are approaching an overbought or oversold condition on an indicator you already trust. Custom columns close that gap by adding extra data fields to every row in the list.

Adding Percentage Change and Volume Columns

Two of the most commonly added columns are:

• % Change - how much each symbol has moved, in percentage terms, typically over the current session
• Volume - how much trading activity each symbol has seen, covered in Lesson 26

Most watchlist panels expose a “Manage columns” option (often behind a gear icon or a right-click menu) where these, and other available fields, can be switched on.

   Symbol         Last Price      % Change      Volume
   ─────────      ──────────      ────────      ──────
   RELIANCE       2,945.10        +1.2%         High
   HDFCBANK       1,650.75        -0.4%         Normal
   NIFTY 50       24,812.30       +0.8%         -

Adding an Indicator Column

This is where Module 5 pays off directly. Rather than checking each symbol’s RSI (covered in Understanding RSI) one chart at a time, an RSI column can be added to the watchlist itself - showing every symbol’s current RSI reading side by side. The same applies to other indicators covered earlier in this course, wherever the platform supports adding them as columns.

Sorting by a Column

Once a column exists, clicking its header sorts the entire watchlist by that value - clicking again typically reverses the order. Sorting by “% Change” instantly surfaces the day’s biggest gainers or losers at the top of the list. Sorting by an RSI column can just as easily surface every symbol currently reading above 70 (potentially overbought) or below 30 (potentially oversold), all without opening a single chart individually.

Simple Organizational Tips

Beyond columns, a few small habits keep a watchlist genuinely useful over time:

• Color labels - many implementations allow tagging individual symbols with a color, useful for flagging a handful of names within a larger list (e.g. marking three stocks currently “watching for breakout” in orange).
• Short notes - a brief text note attached to a symbol can capture why it’s being tracked, which is easy to forget weeks later.
• Regular cleanup - removing symbols no longer relevant keeps sort-by-column results meaningful, rather than cluttered with stale entries.

Real-Life Example: Scanning for Overbought Bank Stocks

Suppose a trader keeps a “Banking” watchlist with ten stocks, including HDFC Bank, ICICI Bank, and Bank Nifty. Rather than opening each chart individually to check RSI, they’ve added an RSI column to this watchlist and sorted by it. In seconds, they see that two stocks are currently reading above 70 - a signal worth a closer look on the actual chart, discovered instantly through the column-and-sort combination rather than ten separate manual checks.

Analogy: A Spreadsheet vs a Single Column of Names

Think of the difference between a plain list of employee names on a sticky note, versus a spreadsheet with columns for department, tenure, and performance rating. Both technically list the same people, but the spreadsheet lets you sort and scan for exactly who you need - “everyone in Sales with over five years’ tenure” - in seconds. Custom columns do the same thing for a watchlist: the underlying list of symbols doesn’t change, but the ability to sort and scan by a meaningful field turns a static list into a genuinely useful tool.

Common Beginner Mistakes

• Adding too many columns at once. A cluttered row with eight columns can be harder to scan than three well-chosen ones.
• Never actually using the sort feature. Adding a column but never clicking its header to sort wastes most of its value.
• Forgetting indicator columns exist. Many beginners check RSI or other indicators only on individual charts, unaware the same value can be scanned across an entire watchlist at once.
• Using color labels inconsistently. Tagging symbols with colors that don’t mean anything specific defeats the purpose - pick a simple, consistent color scheme and stick to it.

Practical Tips

• Start with just two extra columns - % Change and Volume - before adding an indicator column.
• Sort by % Change first thing in a session for a fast read on where the day’s action is concentrated.
• Once comfortable, add one familiar indicator column (like RSI) and try sorting by it to spot conditions worth a closer look.
• Revisit color labels and notes periodically - stale tags are as unhelpful as no tags at all.

Conclusion

With custom columns and simple organizational habits in place, a watchlist stops being a static list of names and becomes a fast, genuinely useful daily scanning tool. That closes out this course's look at Watchlists - the next module turns to Layouts, covering how to save an entire chart setup (symbol, indicators, drawings, and watchlist panel) so it's ready exactly as you left it, every time you open TradingView.