Piotr Pomorski ✓

@PtrPomorski · joined 14 Apr 2015

Quant, AI/machine learning engineer, data scientist | PhD @UCL | Co-founder @deepvest_ai | Forbes 9B under 150 | 2006 TIME's Person of the Year

26 355Followers

130Following

14 517Posts total

325KViews on collected posts

Neueste Beiträge

Piotr Pomorski ✓@PtrPomorski15 Sep

"Simple Dynamic Stock/Bond/Gold Portfolios", https://t.co/ob6OxS9fAg https://t.co/n9ytv73eC0

104 views · 1 likes · 0 reposts · 0 replies Open on X →

Piotr Pomorski ✓@PtrPomorski14 Sep

You've already lost your chance folks https://t.co/5jVYLjvfDh

2.5K views · 39 likes · 0 reposts · 1 replies Open on X →

Piotr Pomorski ✓@PtrPomorski14 Sep

@PtrPomorski This whole time all I needed to do was count the fcking seats 🫪🫪 how could I have been so foolish? 7K views · 27 likes · 0 reposts · 1 replies Open on X →

Piotr Pomorski ✓@PtrPomorski14 Sep

@PtrPomorski Sounds a lot like AI slop. 12.6K views · 64 likes · 0 reposts · 1 replies Open on X →

Piotr Pomorski ✓@PtrPomorski14 Sep

@PtrPomorski So sloppy 2.9K views · 6 likes · 0 reposts · 0 replies Open on X →

Piotr Pomorski ✓@PtrPomorski14 Sep

GOODBYE MILLENIUM, RIP CITADEL https://t.co/OtIIgf56wN

272K views · 1K likes · 40 reposts · 35 replies Open on X →

Piotr Pomorski ✓@PtrPomorski13 Sep

100% agree, actually my PhD was about this. Ensembles do a great job in classification tasks (binary, multi), particularly in terms of generating probabilities of certain events. This can be used for portfolio construction, although IMO regressions do a better job here. https://t

9.5K views · 112 likes · 8 reposts · 0 replies Open on X →

Piotr Pomorski ✓@PtrPomorski11 Aug

This is a great one, you basically type what you want to observe and get an alert if this happens -- doesn't matter if a single asset or your entire portfolio. 8.8K views · 10 likes · 0 reposts · 0 replies Open on X →

Piotr Pomorski ✓@PtrPomorski11 Aug

🚀 We're thrilled to announce the launch of MonitorLab - an institutional-grade market monitoring platform that brings always-on intelligence to financial advisors, wealth managers, and investment professionals. What makes MonitorLab different? ✅ Natural language interface: http

9.5K views · 8 likes · 1 reposts · 0 replies Open on X →

Im Vergleich zu Konten gleicher Größe

9 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe8 831dieses Konto996Median für 10K–100K

Reichweite, %33.51%dieses Konto3.84%Median für 10K–100K

Interaktion, %0.40%dieses Konto1.51%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	8 831	996	8.87×
Reichweite (Aufrufe ÷ Follower)	33.51%	3.84%	8.73×
Interaktionsrate	0.40%	1.51%	0.26×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

9.5K11 Aug

8.8K

9.5K13 Sep

272K14 Sep

2.9K

12.6K

2.5K

10415 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.09%11 Aug

0.11%

1.27%13 Sep

0.40%14 Sep

0.21%

0.52%

0.40%

1.58%

0.96%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.

What the audience does

Likes44.4%1 267 in total

Reposts1.7%49 in total

Replies1.3%38 in total

Bookmarks52.5%1 499 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Ähnliche Konten