edgeful ✓

@edgeful · Miami, FL · joined 03 Jun 2023

we turn complex technical analysis into reports you can actually trade with. for day traders, prop firm traders, and algo traders.

22 977Followers

267Following

26 190Posts total

21.6KViews on collected posts

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edgeful ✓@edgeful22 Sep

NEW stream schedule live trading futures every weekday with @andrearslanian @mrzincx @dancooketrades @jamesbruce131 https://t.co/BfPtqzwGkY

848 views · 6 likes · 0 reposts · 1 replies Open on X →

edgeful ✓@edgeful22 Sep

we gave Opus 5.5 access to all of edgeful and it analyzed 2 years of $NQ 15min ORB data… here’s what it found: for single breaks: → 3:00–3:15pm ORB: 59.0% single-break rate → best pre-open window: 9:25–9:40am at 44.9% for double breaks: → 8:05–8:20am ORB: 88.0% https://t.co/

1.9K views · 9 likes · 1 reposts · 3 replies Open on X →

edgeful ✓@edgeful22 Sep

this is exactly why the screener matters… it keeps your bias tied to the data instead of whatever trade you feel like taking in the moment: 1.3K views · 6 likes · 0 reposts · 0 replies Open on X →

edgeful ✓@edgeful22 Sep

if you trade the 9:30–9:45 ORB, you need to read this: when the ORB low forms first, the high breaks first 80% of the time: 2.4K views · 16 likes · 1 reposts · 1 replies Open on X →

edgeful ✓@edgeful21 Sep

quote from edgeful TV stream today: "I want to take a short so bad. I mean, I'm not going to, but if you look at the screener, 76% bullish. This is one of the big values of the screener: there is an objective, data-backed bias telling me that 76% of the major market movers, ht

1.8K views · 13 likes · 5 reposts · 4 replies Open on X →

edgeful ✓@edgeful9 Sep

@edgeful Orb 12 views · 2 likes · 0 reposts · 0 replies Open on X →

edgeful ✓@edgeful8 Sep

@edgeful ORB 52 views · 1 likes · 0 reposts · 1 replies Open on X →

edgeful ✓@edgeful7 Sep

@edgeful Very similar stats to my 30min ORB strategy, super interesting 363 views · 2 likes · 0 reposts · 1 replies Open on X →

edgeful ✓@edgeful7 Sep

we found a 5minute ORB algo on $ES that nearly tripled a 10k account in 12 months on one contract. 63.3% win rate. 109 trades. 2.4 months of out-of-sample data. the playbook has every setting. like + reply "ORB" and we'll DM it free (must be following so we can DM). https://t.

12.9K views · 186 likes · 11 reposts · 201 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

9 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน1 263บัญชีนี้995ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %5.50%บัญชีนี้3.92%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.83%บัญชีนี้1.54%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	1 263	995	1.27×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	5.50%	3.92%	1.40×
อัตราการมีส่วนร่วม	0.83%	1.54%	0.54×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

12.9K7 Sep

363

528 Sep

129 Sep

1.8K21 Sep

2.4K22 Sep

1.3K

1.9K

848

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

3.10%7 Sep

0.83%

3.85%8 Sep

16.67%9 Sep

1.25%21 Sep

0.76%22 Sep

0.48%

0.78%

0.83%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.54%.

What the audience does

Likes42.3%241 in total

Reposts3.2%18 in total

Replies37.2%212 in total

Quotes0.9%5 in total

Bookmarks16.5%94 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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