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Charlie Bilello@charliebilello · Oct 13, 2026 · Bar chart

Sector ETF YTD Returns

Charlie Bilello's bar chart drew 37K views on X: 0.6x its typical post and #23 of 25 Charlie Bilello charts we track by views. Read Oct 14, 2026.

A stunning 56% spread between the best and worst performing S&P 500 sectors so far this year:

Posted on X by @charliebilello (Charlie Bilello), Oct 13, 2026. Source: x.com · See its data

Why it spread

This post spread because it paired a hot topic that week with an independent author, showing a 56% spread between the best and worst performing S&P 500 sectors, with Energy up 51% and Consumer Discretionary down 5%, drawing 104 likes, 17 reposts, 4 quotes, 17 saves and 13,004 views.

What worked

  • The headline number, a 56% spread, is stated plainly in the post text and frames the whole chart as a single striking gap.
  • The chart is a simple bar comparing just two extremes, Energy at plus 51% and Consumer Discretionary at minus 5%, so the contrast reads instantly.
  • The framing ties the data to a timely narrative about war driven inflation rewarding big oil and squeezing consumers, which matches the hot topic that week.

What to borrow

We could take our own sector or category data, find the single widest gap between a leader and a laggard, and lead with that one number in the text while keeping the chart to a clean two bar comparison.

Careful

Do not copy the causal claim about war driven inflation as if the chart proves it, and do not over read the engagement, since the quote rate being above average and the source reach being in the top quarter reflect the author and the week as much as the design, which is only low polish with medium self labelling.

Written by our analysis model from the measured numbers above, not by Charlie Bilello.

Make it yours

Your numbers, in this bar chart.

Starts from the real numbers of "S&P 500 Sector ETFs - YTD Total Returns (%)" by Charlie Bilello. Replace every number with yours before you post. Make one like this, step by step

Free pictures carry a small "Made with ViralChart" line. That line is how other people find us.

API · Max

Use this chart via API

On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 94de434a7ac5.

PathReturnsPlan
GET/api/v1/charts/94de434a7ac5Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/94de434a7ac5/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/94de434a7ac5/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/94de434a7ac5/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"
Claude CodeMax
claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.

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Questions people ask

How far did Charlie Bilello's "Sector ETF YTD Returns" chart travel?

36,978 views, 259 likes, 38 reposts and 39 saves on X, read Oct 14, 2026. A normal post from @charliebilello gets about 57.5K views.

What kind of chart is it?

A bar chart. Sector ETF returns vary widely with energy leading.

Can I use Charlie Bilello's chart?

Use the format, not the picture. The chart, logo and design belong to Charlie Bilello. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.