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The Factor Report engagement report

@PeterLBrandt - 1.3M followers on X

Measured over 58 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Middle of its size range
Per follower
0.024%
of 1.3M followers
Per impression
0.548%
56K views on a typical post
Reach
4.35%
of its followers see a post
Typical post
310
interactions (median)
Saved
0.097%
54 bookmarks on a typical post
Posting rate
3.53/day
active 73% of days
Peak time
18:00 UTC
Friday

A typical post picks up 310 interactions against 1.3M followers, an engagement rate of 0.024%. Measured over 58 original posts, its engagement rate beats 47% of 3,758 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 56K times each, and 0.548% of those impressions turn into an interaction. That is about 4.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 58 posts sampled, 66% carry an image or video and 14% link out. The account's strongest tracked post pulled 3.0K interactions, about 9.8x its own typical post. Recurring topics include #factormembers, #bullishengulfing, #silver.

Measured over 58 original posts from a 30-day window, last computed on August 31, 2026. Recurring tags: #factormembers, #bullishengulfing, #silver.

Compared with accounts its own size

The Factor Report's engagement rate beats 47% of the tracked X accounts closest to it in follower count (3,758 accounts, accounts of similar size (decile 9 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 35% 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 0.024%, The Factor Report sits above the 25th percentile of the 36,521 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,521 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,166 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.7%

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 18:00 UTC, and Friday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 18:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jan 19, 20269.8x their median

    58k to $62k is where I think it is going $BTC If it does not go there I will NOT be ashamed, so I do not need to see you trolls screen shot this in the future I am wrong 50% of the time. It does not bother me to be wrong https://t.co/NDOuSrqLwa

    2.4K26535955329K viewsView on X
  • Aug 20, 20265.7x their median

    There was a reason to have expected a downside move in Bitcoin. An inverted H&S with a belabored right shoulder has a 60/40 chance to be resolved to the downside. And, the trend was down. But the completion of the H&S bottom changed that. I bought the breakout for better or worse

    1.6K1085515133K viewsView on X
  • Aug 5, 20265.3x their median

    Gold This was/is the set up As far as I know, I am the only chartist that used the Cw/O pattern Should go somewhere tween 4517 and 4830 $GC_F https://t.co/EQyWg64ub2

    1.4K15010111254K viewsView on X
  • Aug 10, 20265.0x their median

    On the 30-Yr, 6.2% is next, then 7.7% If the 30-year reaches 7.5% I will move 50%-plus of my net worth into bonds with 10-20% into Silver and Gold as an insurance policy https://t.co/2vQt6PSUjc

    1.3K12810114140K viewsView on X
  • Aug 16, 20263.9x their median

    If $BTCUSD is going to rebound, it has to come from here. https://t.co/qZFnfIZxCV

    1.1K84699415K viewsView on X
  • Aug 21, 20263.7x their median

    Does anybody remember when I posted about "Price Walls" (a decades-old TA tool) at the BTC bottom in 2021? Well, we are here again. $BTC Old-school TA can outcompete new school TA any day of the week https://t.co/8VJwamCyUv

    993795217147K viewsView on X
  • Aug 11, 20262.7x their median

    Three assumptions I make whenever I enter a trade (which is 2 to 3 trades per week): 1. The trade will lose money 2. There are really smart people on the other side of the trade 3. If the charting world on X sees the same pattern, then for sure it's wrong

    7743520264K viewsView on X
  • Aug 25, 20262.3x their median

    My most shocking loss ever I remember like it was yesterday The start of U.S. bombing of Iraq Chronology I was long Crude - about 30,000 barrels Price broke out of a channel on Jan 14, 1991 Slight down day on Jan 15 Firm close on Jan 16 to close at 30.29 At about dinner we were watching TV when the U.S. began its bombing campaign of Iraq Price on the curb (dealer to dealer) in London had climbed about $3 to $33 or so when I confidently went to bed in MN CLASSIC BUY THE RUMOR, SELL THE NEWS Market opened down $11 from London curb. Did I wait for a rally to lessen the damage. NEVER I exited at the market. My policy is to never speculate with a loss

    6623323479K viewsView on X
  • Aug 28, 20262.3x their median

    Cannot remember when I have had such a heavy position as present with the grain markets. I am long KC Wheat, Soybeans, Corn, Meal - my goal will be to get to a composite break-even stop level Also am long Bitcoin, long NY Sugar, long Peso, short Lean Hogs Notice to trolls - I exit my positions on a day's notice so screen shooting this X post would not be a good use of your time

    6502147381K viewsView on X
  • May 12, 20262.2x their median

    https://t.co/a3oMgxDG8V

    388220683315K 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

#factormembers#bullishengulfing#silver

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 310 interactions against 1.3M followers, an engagement rate of 0.024%. Measured over 58 original posts, its engagement rate beats 47% of 3,758 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 56K times each, and 0.548% of those impressions turn into an interaction. That is about 4.35% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 58 posts sampled, 66% carry an image or video and 14% link out. The account's strongest tracked post pulled 3.0K interactions, about 9.8x its own typical post. Recurring topics include #factormembers, #bullishengulfing, #silver.

What is The Factor Report's engagement rate on X?
The Factor Report (@PeterLBrandt) has an engagement rate of 0.024%, based on the median interactions across 58 original posts from the last 30 days against 1,298,982 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.024%, The Factor Report sits above the 25th percentile of the 36,521 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 @PeterLBrandt have real engagement?
Its engagement rate beats 47% of the tracked X accounts closest to it in follower count (3,758 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 @PeterLBrandt post?
Most posts go out around 18:00 UTC, and Friday is its busiest day, at roughly 3.53 posts per day across the measured window.

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