Stat Arb ✓

@quant_arb · Zug · joined 26 Nov 2019

MFT & HFT | Views my own. Not financial advice.

71 189Followers

1 641Following

15 271Posts total

196.9KViews on collected posts

Postingan terbaru

Stat Arb ✓@quant_arb15 Sep

have you been tokenmaxxing anon? https://t.co/HFDYtjKeNQ

6.6K views · 31 likes · 0 reposts · 11 replies Open on X →

Stat Arb ✓@quant_arb7 Sep

Check out the site @Vertox_DF made for practicing for quant prep: https://t.co/Ti3mIjoOeW First contest is tomorrow 9.2K views · 42 likes · 1 reposts · 0 replies Open on X →

Stat Arb ✓@quant_arb7 Sep

Important question, what are we naming our exchange adapter ‼️‼️‼️ 4.6K views · 11 likes · 0 reposts · 1 replies Open on X →

Stat Arb ✓@quant_arb4 Sep

@quant_arb Yep! Plus overwhelming majority of traders are not quants nor are they institutional. For every top institutional quant, there may be 100+ discretionary traders. But if you live in a fish bowl (quant world), all you know is the fish bowl. And you can’t relate to anyt 7.6K views · 57 likes · 0 reposts · 3 replies Open on X →

Stat Arb ✓@quant_arb4 Sep

I can name 4 pods off the top of my head, 2 of which I’ve sat opposite in the office. That print or printed (as of my time there) like this very consistently and definitely didn’t run 3 Sharpe. 7.5K views · 51 likes · 0 reposts · 2 replies Open on X →

Stat Arb ✓@quant_arb4 Sep

At a lot of Chicago style shops, it’s just don’t hit your DD and how much PnL did you make. There’s very profitable teams out there which consistently have done very well for themselves and their firms without having infinite sharpes. Sometimes being willing to stomach some 30.2K views · 206 likes · 5 reposts · 8 replies Open on X →

Stat Arb ✓@quant_arb4 Sep

I know extremely profitable desks (9 figs PnL) where they don’t check the Sharpe unless it’s a systematic strategy. It’s simply is the PnL positive every quarter. Seen multiple desks like this (often very discretionary) print like crazy. Not everyone runs quant books @ 3+ Sharpe 131.2K views · 574 likes · 16 reposts · 26 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan7 602akun ini924median untuk 10K–100K

Jangkauan, %10.68%akun ini3.62%median untuk 10K–100K

Interaksi, %0.63%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	7 602	924	8.23×
Jangkauan (tayangan ÷ pengikut)	10.68%	3.62%	2.95×
Tingkat interaksi	0.63%	1.52%	0.42×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

131.2K4 Sep

30.2K

7.5K

7.6K

4.6K7 Sep

9.2K

6.6K15 Sep

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

0.47%4 Sep

0.73%

0.71%

0.79%

0.26%7 Sep

0.48%

0.63%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes65.9%972 in total

Reposts1.5%22 in total

Replies3.5%51 in total

Quotes0.5%8 in total

Bookmarks28.6%422 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Akun serupa