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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

Últimas publicaciones

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 →
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 →
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 →
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 →
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 Orb 12 views · 2 likes · 0 reposts · 0 replies Open on X →
@edgeful ORB 52 views · 1 likes · 0 reposts · 1 replies Open on X →
@edgeful Very similar stats to my 30min ORB strategy, super interesting 363 views · 2 likes · 0 reposts · 1 replies Open on X →
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 →

Frente a cuentas del mismo tamaño

9 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas1 263esta cuenta1 001mediana de 10K–100K
Alcance, %5.50%esta cuenta3.95%mediana de 10K–100K
Interacción, %0.83%esta cuenta1.55%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación1 2631 0011.26×
Alcance (visualizaciones ÷ seguidores)5.50%3.95%1.39×
Tasa de interacción0.83%1.55%0.53×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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 1.55%.

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.

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