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Kavita

@Kavitastocks · kavitacontact2024@gmail.com · joined 26 May 2020

SEBI Registered RA |Algo Trader| Stock Market Enthusiast| https://t.co/avzgBdV2os

141 510Followers
25Following
8 569Posts total
27.7KViews on collected posts

Postingan terbaru

The Greeks work together—not individually. Delta + Gamma + Theta interaction. "Which Greek confuses you the most?" 3.7K views · 14 likes · 0 reposts · 1 replies Open on X →
"The market doesn't know you exist." Trade what you see. Not what you hope. 4.5K views · 46 likes · 0 reposts · 2 replies Open on X →
@Kavitastocks I trade what I see with my eyes. Shutting if the chattering mind and just looking at what's in front of you is the key to success in markets. 22 views · 0 likes · 1 reposts · 0 replies Open on X →
@Kavitastocks Team confirmation 78 views · 1 likes · 0 reposts · 0 replies Open on X →
@Kavitastocks Run the predictive analysis, then wait for confirmation. Isn't that true? Always hold on to "What if?" 82 views · 0 likes · 0 reposts · 0 replies Open on X →
The smartest traders don't predict breakouts. Confirmation vs anticipation. "Team Confirmation or Team Prediction?" 5.3K views · 41 likes · 0 reposts · 5 replies Open on X →
@Kavitastocks Institutions create candles to burn small traders. 30 views · 0 likes · 0 reposts · 0 replies Open on X →
"Your losing trades are your tuition fees." Review them. Don't repeat them. 4.9K views · 83 likes · 5 reposts · 4 replies Open on X →
@Kavitastocks 80% stoploss executed big scam. 122 views · 0 likes · 0 reposts · 0 replies Open on X →
@Kavitastocks All of my trading system is built around liquidity hunt. I like shakeouts, before getting involved. 199 views · 2 likes · 0 reposts · 0 replies Open on X →
Institutions don't trade candles. They trade liquidity. Liquidity sweeps and stop hunts. "Have you noticed this?" 8.8K views · 110 likes · 5 reposts · 9 replies Open on X →

Dibandingkan akun berukuran sama

11 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. menjangkau lebih sedikit orang dibanding akun seukurannya.

Median tayangan199akun ini5 424median untuk 100K–1M
Jangkauan, %0.14%akun ini1.81%median untuk 100K–1M
Interaksi, %1.00%akun ini1.21%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan1995 4240.04×
Jangkauan (tayangan ÷ pengikut)0.14%1.81%0.08×
Tingkat interaksi1.00%1.21%0.83×

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

8.8K10 Sep
199
122
4.9K11 Sep
30
5.3K
82
78
22
4.5K12 Sep
3.7K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.41%10 Sep
1.01%
0.00%
1.86%11 Sep
0.00%
0.86%
0.00%
1.28%
4.55%
1.07%12 Sep
0.41%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.21%.

What the audience does

Likes81.6%297 in total
Reposts3.0%11 in total
Replies5.8%21 in total
Bookmarks9.6%35 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.

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