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Kris Sidial🇺🇸

@Ksidiii · Follower of Christ ...New York · joined 16 Oct 2013

Co-CIO of Ambrus| (Focus: Volatility Trading / Tail risk hedging )| @penn guy ( These are my personal thoughts and not the opinions of Ambrus)

86 554Followers
869Following
21 066Posts total
176.7KViews on collected posts

Derniers posts

For the third straight year, Ambrus has been nominated for Volatility Hedge Fund of the Year. It’s incredibly cool to share the stage with some phenomenal funds and partners that have dominated industry for many years. As always, truly grateful to God for the journey and https:
13.9K views · 218 likes · 5 reposts · 26 replies Open on X →
One thing AI has done in the trading world is dramatically reduce the need for the traditional desk quant. A desk quant’s role is very different from that of a quant researcher and or quant trader. A quant researcher spends significant time building the infrastructure behind 31.6K views · 310 likes · 21 reposts · 18 replies Open on X →
👇👇👇 https://t.co/9wdRspqCIc
28.1K views · 187 likes · 25 reposts · 15 replies Open on X →
A beautiful day to be in the house of God. God bless, folks. Enjoy the long weekend. ⛪️⛪️⛪️ 9.2K views · 79 likes · 3 reposts · 10 replies Open on X →
A little about me: I got started in the volatility trading business about 13 years ago, initially as the sole junior trader to Robert Kanter. From there, I went on to trade at several proprietary trading firms. After having the best year of my trading career, about six years ago, 92.5K views · 648 likes · 9 reposts · 37 replies Open on X →
@Ksidiii It’s going to go like this while we humans trade around the blockhead action. https://t.co/tEEugHoAsx
GIF
644 views · 2 likes · 0 reposts · 2 replies Open on X →
@Ksidiii My base case is that a lot of those AI companies are going to run AI quantitative funds on the side. Shouldn’t be an issue if you trade higher timeframes. If you trade low timeframes then you will have not only one but 3-4 rentech to trade against so good luck 670 views · 1 likes · 0 reposts · 2 replies Open on X →

Face aux comptes de taille comparable

5 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes28 105ce compte1 079médiane pour 10K–100K
Portée, %32.47%ce compte3.82%médiane pour 10K–100K
Engagement, %1.00%ce compte1.65%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post28 1051 07926.1×
Portée (vues ÷ abonnés)32.47%3.82%8.50×
Taux d'engagement1.00%1.65%0.60×

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

67017 Dec
644
92.5K28 Aug
9.2K6 Sep
28.1K7 Sep
31.6K11 Sep
13.9K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.45%17 Dec
0.62%
0.75%28 Aug
1.00%6 Sep
0.81%7 Sep
1.10%11 Sep
1.80%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes68.9%1 445 in total
Reposts3.0%63 in total
Replies5.2%110 in total
Bookmarks22.9%480 in total

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

Followers by day

9 Sep

Daily snapshots since 09 Sep 2026; the dashed line is the starting count.

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