tweetindex
ID

DayTradingRauf (DTR)

@daytradingrauf · free course → · joined 06 Nov 2021

Building: @timebasedranges @timebasedreward Futures Trader Creator Of Time Based Ranges (8:12 to 9:12)

67 733Followers
122Following
5 642Posts total
180.5KViews on collected posts

Postingan terbaru

London or New York session the same repeatable process. > 1:12 to 2:12 time based range > break of one side > trade ideas for the opposite end Mondays are statistically great days for the London time based range. ↓ https://t.co/qLDF7P66HS
2.8K views · 42 likes · 3 reposts · 5 replies Open on X →
Losses aren’t a mistake. They’re a line item. When you run a profitable system, the loss rate isn’t something that happens to you it’s baked into the math from day one. If your system wins 50% of the time with a 2:1 R, you’re not “failing” on the other 50%. You’re paying the 4.7K views · 35 likes · 3 reposts · 4 replies Open on X →
76%. 66%. 66%. 70%. 70%. Those were the odds going into every single day last week. 4 of them played out exactly as the data suggest.. Here’s the breakdown 🧵 https://t.co/icPJEAiZvp
6.5K views · 60 likes · 4 reposts · 4 replies Open on X →
@daytradingrauf HMRC rn: https://t.co/BOnQUW6qzn
230 views · 1 likes · 0 reposts · 0 replies Open on X →
@daytradingrauf 🙏🙏 214 views · 1 likes · 0 reposts · 0 replies Open on X →
$66k this summer. Arguably the worst months of the year constant back and forth around every 9:30 open. The key to staying consistent monthly is having a system you trust through the losses. We all trade the same price action. The difference between consistency and https://t.
9K views · 87 likes · 2 reposts · 9 replies Open on X →
Just some results from today https://t.co/G5s77JGX0K
7.6K views · 20 likes · 1 reposts · 2 replies Open on X →
@daytradingrauf my bro releasing best model out here 4K views · 6 likes · 0 reposts · 0 replies Open on X →
The only repeatable variable within the market is time. I focus on very specific time windows every single day with a mechanical approach. If you’re struggling I broke down: • Why this approach will give you clarity • How it will repeat ⤵️ https://t.co/abOpfLXLhZ https:
145.5K views · 292 likes · 29 reposts · 23 replies Open on X →

Dibandingkan akun berukuran sama

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

Median tayangan3 722akun ini1 015median untuk 10K–100K
Jangkauan, %5.50%akun ini3.77%median untuk 10K–100K
Interaksi, %0.97%akun ini1.67%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan3 7221 0153.67×
Jangkauan (tayangan ÷ pengikut)5.50%3.77%1.46×
Tingkat interaksi0.97%1.67%0.58×

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

145.5K3 Dec
4K
7.6K
9K4 Sep
214
230
6.5K5 Sep
4.7K6 Sep
2.8K7 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

0.24%3 Dec
0.15%
0.30%
1.10%4 Sep
0.47%
0.43%
1.04%5 Sep
0.90%6 Sep
1.81%7 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.67%.

What the audience does

Likes50.6%544 in total
Reposts3.9%42 in total
Replies4.4%47 in total
Quotes0.3%3 in total
Bookmarks40.9%440 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.

Akun serupa