PyQuant News 🐍 ✓
@pyquantnews · Free algo trading videos → · joined 20 Apr 2015
Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.
Postingan terbaru




Dibandingkan akun berukuran sama
29 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.
| Metrik | Akun ini | Median untuk 100K–1M | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 403 | 6 548 | 0.06× |
| Jangkauan (tayangan ÷ pengikut) | 0.25% | 1.65% | 0.15× |
| Tingkat interaksi | 0.62% | 0.97% | 0.64× |
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
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.97%.
What the audience does
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.
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