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.
Son gönderiler




Aynı büyüklükteki hesaplara karşı
Son 90 güne ait 29 gönderi, 100K–1M takipçi aralığıyla yan yana. hem erişimde hem etkileşimde benzerlerinin altında.
| Ölçüt | Bu hesap | 100K–1M için medyan | Oran |
|---|---|---|---|
| Gönderi başına medyan görüntülenme | 403 | 6 510 | 0.06× |
| Erişim (görüntülenme ÷ takipçi) | 0.25% | 1.64% | 0.15× |
| Etkileşim oranı | 0.62% | 0.97% | 0.64× |
Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →
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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