Callum Thomas ✓

@Callum_Thomas · Queenstown, New Zealand · joined 01 May 2009

Head of Research, Founder: @topdowncharts Global Macro & Asset Allocation Research (tweets = not advice) NOTE: I will never DM you -- beware of scammers.

138 532Followers

4 007Following

54 269Posts total

34.9KViews on collected posts

Derniers posts

Callum Thomas ✓@Callum_Thomas8 h

@Callum_Thomas There’s this etf called TBT 149 views · 1 likes · 0 reposts · 0 replies Open on X →

Callum Thomas ✓@Callum_Thomas10 h

The Big Bad Bond Bear: https://t.co/Gn9zjKsd9X 1.8K views · 10 likes · 1 reposts · 1 replies Open on X →

Callum Thomas ✓@Callum_Thomas10 h

This is one of the biggest investment disasters in modern history --it has damaged portfolio returns, upturned decades of conventional wisdom, and left folk scratching their heads on the matter of diversification. (and I think that's a big trap) Sooner or later we're going to h

8.6K views · 66 likes · 7 reposts · 7 replies Open on X →

Callum Thomas ✓@Callum_Thomas20 h

Weekly S&P500 ChartStorm COMING SOON! Meantime, check out last week's edition + subscribe to get the next edition here: https://t.co/zO1HZjeCQl 3.5K views · 6 likes · 1 reposts · 0 replies Open on X →

Callum Thomas ✓@Callum_Thomas18 Sep

hmmm... 4.3K views · 2 likes · 0 reposts · 0 replies Open on X →

Callum Thomas ✓@Callum_Thomas18 Sep

We're getting deeper into maximum-Seasonal downside risk territory... (but also closer to year-end rally?) Thoughts on catalysts: https://t.co/Xvq00FkgVT https://t.co/4DvdjiQD8z

4.3K views · 20 likes · 2 reposts · 0 replies Open on X →

Callum Thomas ✓@Callum_Thomas18 Sep

@Callum_Thomas Log would be nice 187 views · 1 likes · 0 reposts · 1 replies Open on X →

Callum Thomas ✓@Callum_Thomas18 Sep

@Callum_Thomas What happens if you take out the circular earnings of the largest AI and hardware companies? 277 views · 3 likes · 0 reposts · 2 replies Open on X →

Callum Thomas ✓@Callum_Thomas17 Sep

@Callum_Thomas The ex-US line is the cleaner signal here—years of sideways earnings make this breakout more than a US-market story 224 views · 2 likes · 0 reposts · 1 replies Open on X →

Callum Thomas ✓@Callum_Thomas13 Sep

@Callum_Thomas @topdowncharts all this talk of the markets and not one word about where the money's actually flowing? bullshit 72 views · 1 likes · 0 reposts · 0 replies Open on X →

Callum Thomas ✓@Callum_Thomas13 Sep

Link to charts (click): https://t.co/zO1HZjfaFT 2.2K views · 5 likes · 0 reposts · 0 replies Open on X →

Callum Thomas ✓@Callum_Thomas13 Sep

Learnings and conclusions from this week’s charts: 1. Stocks are seeing a bit of pre-Fed jitters. 2. Breadth has been steadily deteriorating across the board. 3. Correlations, corporate bonds, and volatility suggest caution. 4. Liquidity conditions are set to become a https:/

9.3K views · 26 likes · 4 reposts · 7 replies Open on X →

Face aux comptes de taille comparable

12 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. portée ordinaire pour sa taille, réaction plus faible que la moyenne.

Vues médianes2 028ce compte5 893médiane pour 100K–1M

Portée, %1.46%ce compte1.56%médiane pour 100K–1M

Engagement, %0.66%ce compte0.99%médiane pour 100K–1M

Indicateur	Ce compte	Médiane pour 100K–1M	Rapport
Vues médianes par post	2 028	5 893	0.34×
Portée (vues ÷ abonnés)	1.46%	1.56%	0.94×
Taux d'engagement	0.66%	0.99%	0.67×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

9.3K13 Sep

2.2K

22417 Sep

27718 Sep

187

4.3K

3.5K19 Sep

8.6K

1.8K

14920 Sep

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.42%13 Sep

0.22%

1.39%

1.34%17 Sep

1.81%18 Sep

1.07%

0.51%

0.05%

0.20%19 Sep

0.99%

0.66%

0.67%20 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.99%.

What the audience does

Likes64.4%143 in total

Reposts6.8%15 in total

Replies8.6%19 in total

Quotes3.2%7 in total

Bookmarks17.1%38 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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