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The Chartians engagement report

@chartians - 147K followers on X

Measured over 27 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Middle of its size range
Per follower
0.128%
of 147K followers
Per impression
0.877%
21K views on a typical post
Reach
14.6%
of its followers see a post
Typical post
187
interactions (median)
Saved
0.099%
21 bookmarks on a typical post
Posting rate
2.2/day
active 53% of days
Peak time
04:00 UTC
Tuesday

A typical post picks up 187 interactions against 147K followers, an engagement rate of 0.128%. Measured over 27 original posts, its engagement rate beats 56% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 21K times each, and 0.877% of those impressions turn into an interaction. That is about 14.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 27 posts sampled, 59% carry an image or video and 15% are part of a thread. The account's strongest tracked post pulled 1.8K interactions, about 9.4x its own typical post. Recurring topics include #bluestone, #cordscable, #aegislog.

Measured over 27 original posts from a 30-day window, last computed on September 26, 2026. Recurring tags: #bluestone, #cordscable, #aegislog.

Compared with accounts its own size

The Chartians's engagement rate beats 56% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 37% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.128%, The Chartians sits above the 50th percentile of the 156,969 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 156,969 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,068 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 04:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video59% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 59% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 245 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 25, 20269.4x their median

    🇮🇳 India's household net financial savings fell to LOWEST in 47 years since FY1977 !! Now this is not because people are not saving. It’s because people cant save. Heavy Taxes. Middle class is helpless. #Tax

    1.3K348722032K viewsView on X
  • Jul 24, 20247.3x their median

    This is the heart of our trading strategy. Sharing it with you all ❤️ Our trading picks predominantly revolve around this. https://t.co/EoxCwJRy2P

    1.2K135533418K viewsView on X
  • Jan 28, 20156.8x their median

    Markets going crazy. Nifty almost at 9k! Insanity

    83224714445View on X
  • Sep 22, 20263.7x their median

    Hi @jpmorgan, Next time Jamie meets our FM @nsitharaman, please remind her to #AbolishSTT & reduce STCG & LTCG. Ragards, Indian Retail Investor/Trader 🇮🇳

    5808730124K viewsView on X
  • Sep 21, 20263.3x their median

    India's cash market has a liquidity problem. And STT is a big part of it. I ran a simple number-crunch this week: how many times does a country's tradable stock float actually change hands? Method: Market cap × free float % = free float value Average daily cash turnover ÷ free float value = daily turnover velocity The results: 🇮🇳 India: ₹474 lakh cr market cap, ~50% free float, ₹1.13 lakh cr daily cash turnover → 0.48% of free float trades per day. About 1.2x a year. 🇺🇸 US: $75 trn market cap, ~90% float, $1.1 trn daily → ~1.6% per day. About 4x a year. 🇨🇳 China: ¥117 trn market cap, ~65% float, ¥2.7 trn daily → ~3.6% per day. About 9x a year. China's float turns over 7–8x faster than ours. The US turns over 3–4x faster. Why it matters: Low turnover means thin order books, wider spreads, higher impact cost, and weaker price discovery, especially outside the top 200 stocks. A large investor can't enter or exit without moving the price. That's a microstructure problem, not just a volume problem. The cost gap: A delivery trade in India pays 0.1% STT on each side, so 0.2% per round trip before brokerage and other charges. China charges 0.05% stamp duty, on the sell side only. The US has no transaction tax, only a negligible regulatory fee. In fact US allows darkpools. When the friction is 4x China's and near-infinite versus the US, capital does the rational thing. It avoids the cash market and moves to F&O, where the tax per rupee of exposure is lower. We've built a tax structure that pushes speculation into derivatives and starves the cash market of depth. Deep cash markets make healthy capital markets. If we want India to be a $10 trn market, liquidity in the underlying has to be priced right. Time to rethink STT. #StockMarket #India #STT #MarketMicrostructure #Liquidity

    432129491033K viewsView on X
  • Sep 15, 20263.2x their median

    Life of a Middle class in India using UPI > Earn money > Pay tax on Salary > Save that money to invest > Pay STT/LTCG >Pay StampDuty > Pay GST > Pay SEBI turnover fees > Pay Exchange transaction charges > Pay Clearing charges > Pay MDR > Then use that money to spend > GST says hi 👋 > Then goes to pay via UPI > Pays more tax

    43711436821K viewsView on X
  • Sep 15, 20262.7x their median

    Best case and Worst case scenario: 🟢 1. Fed +25 bps, dovish guidance Most bullish outcome for risk assets: Gold: ↔️ / 🟢 Silver: 🟢 Equities: 🟢 Indian equities: 🟢 Smallcaps: 🟢🟢 Bonds: 🟢 USD: 🔴 Crude oil: 🟢 / ↔️ 🟡 2. Fed +25 bps, neutral guidance Initial volatility, then markets settle: * Gold: 🔴 → ↔️ * Silver: 🔴🔴 * Equities: 🔴 → ↔️ * Indian equities: 🔴 → ↔️ * Smallcaps: 🔴🔴 * Bonds: 🔴 * USD: 🟢 * Crude oil: ↔️ / 🟢 🔴 3. Fed +25 bps, hawkish guidance The dangerous scenario: * Gold: 🔴🔴 * Silver: 🔴🔴🔴 * US equities: 🔴🔴 * Indian equities: 🔴🔴 * Smallcaps: 🔴🔴🔴 * US yields: 🟢🟢 * USD: 🟢🟢 * Crude oil: 🔴 / ↔️ 🔴🛢️ 4. Fed +25 + hawkish + crude keeps exploding higher This is the worst macro combination: * Gold: 🔴 initially, potentially 🟢 later * Silver: 🔴🔴🔴 * US equities: 🔴🔴🔴 * Indian equities: 🔴🔴🔴 * Smallcaps: 🔴🔴🔴 * Bonds: 🔴🔴 * US yields: 🟢🟢🟢 * USD: 🟢🟢 * Crude: 🟢🟢🟢 * Inflation expectations: 🟢🟢🟢

    42345344121K viewsView on X
  • Sep 25, 20262.0x their median

    Brahmastra in swing trading 💫 BASE SHAKEOUT + TIGHTNESS ABOVE EMA

    345208035K viewsView on X
  • Sep 21, 20261.6x their median

    #KROSS Multi-year breakout! https://t.co/luGpXsZ3lZ

    285137025K viewsView on X
  • Sep 24, 20261.6x their median

    7 weeks. 7 red candles. Not a single green weekly close since the CAS announcement. That's the kind of consistency you don't see often. #cas #stockmarketindia https://t.co/6oIr9cziLz

    2572113015K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#bluestone#cordscable#aegislog#cupid#exicom

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 187 interactions against 147K followers, an engagement rate of 0.128%. Measured over 27 original posts, its engagement rate beats 56% of 15,519 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 21K times each, and 0.877% of those impressions turn into an interaction. That is about 14.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 27 posts sampled, 59% carry an image or video and 15% are part of a thread. The account's strongest tracked post pulled 1.8K interactions, about 9.4x its own typical post. Recurring topics include #bluestone, #cordscable, #aegislog.

What is The Chartians's engagement rate on X?
The Chartians (@chartians) has an engagement rate of 0.128%, based on the median interactions across 27 original posts from the last 30 days against 146,940 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.128%, The Chartians sits above the 50th percentile of the 156,969 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @chartians have real engagement?
Its engagement rate beats 56% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @chartians post?
Most posts go out around 04:00 UTC, and Tuesday is its busiest day, at roughly 2.2 posts per day across the measured window.

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