Deepvue ✓
@Deepvue · joined 20 Nov 2019
Built for traders who read the tape. Charts · Screener · Watchlists · AI Terminal — one subscription, live. ★ 4.9/5 from 589+traders.
37 099Followers
77Following
5 781Posts total
30KViews on collected posts
Últimas publicaciones
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Nasdaq 100 heat map — sorted by weekly price change and volume.
Semis showing strength after weeks of underperformance while money rotates out of software. https://t.co/1RIA1eNkpH
2.3K views · 24 likes
· 1 reposts · 2 replies
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Deepvue Stage Analysis — Stage 4 downtrends still outnumber Stage 2 uptrends across the market.
Energy, Insurance, and Banks leading the groups with the most stocks in Stage 2.
Semiconductors are the weakest group at just 9% in Stage 2. https://t.co/wrAz2AuuZf
3.5K views · 38 likes
· 3 reposts · 2 replies
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Study Often:
A Model Book that sits untouched is a folder of screenshots.
The value comes from repeated exposure — flipping through your saved setups regularly until the patterns become second nature.
Qullamaggie built his conviction studying thousands of examples. O'Neil did
900 views · 7 likes
· 0 reposts · 1 replies
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Rank Your Examples:
Not every setup is created equal. Use tags to rank quality.
A / B / C — filter to only the A-tier examples when you want to see textbook setups. Filter to C-tier when you want to see what almost worked and figure out why.
The system is only useful if you
953 views · 3 likes
· 0 reposts · 1 replies
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Study What Failed:
Most traders build Model Books full of winners. The best ones study losers too.
Save the failed breakouts, the false starts, the setups that looked textbook and then rolled over.
Recognizing what a failing setup looks like is what keeps you out of bad https:
223 views · 4 likes
· 0 reposts · 1 replies
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Build Setup-Specific Folders:
Group examples by the pattern you're studying:
— Undercut and rallies
— Base breakouts
— Pullback entries
— Power earnings gaps
— Three weeks tight
Every time you see one in the wild, save it. Annotate what worked, what didn't, and what to look ht
221 views · 3 likes
· 0 reposts · 1 replies
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Save the Year's Biggest Winners:
Every year has a handful of stocks that outperform everything else.
Save them. Study the setups they presented on the way up.
2026's biggest winners so far — names like $SNDK, $ARM, $DELL, $MU. Look at every base, every breakout, every
464 views · 5 likes
· 0 reposts · 1 replies
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Deepvue Model Books launched this week — but a good Model Book is more than just a folder of charts. It's a deliberate system for building conviction through pattern recognition.
Here's how to build one that actually improves your trading: 👇 https://t.co/0OQ5s2m82L
8.9K views · 71 likes
· 10 reposts · 3 replies
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Start With Market Bottoms:
Every big move in the market starts from a low. Study them.
Pull up the QQQ and SPY and save snapshots of every meaningful correction low and the recovery that followed. Take note of the leaders of that cycle and how they acted.
Over time you'll http
652 views · 7 likes
· 0 reposts · 1 replies
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@Deepvue This model book feature is awesome by the way. Kind of obsessed with it !
2.8K views · 4 likes
· 0 reposts · 1 replies
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@Deepvue Still learning and new to this; Calling this a "Pullback to the 21 EMA (daily) + 2 days of follow-through". Best score: $SNDK. Thanks @Deepvue — it keeps getting better. Best insight provider for making good calls. https://t.co/0yAWDBG5qu
131 views · 3 likes
· 0 reposts · 1 replies
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@Deepvue 50SMA pullback on daily chart. Btw the speed of the mobile app is awesome after the update
73 views · 2 likes
· 0 reposts · 1 replies
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Model Book Launch Giveaway! 🚨🎉
To celebrate the Model Book feature release, we're giving away a free year of Deepvue to 3 lucky winners.
To enter:
— Follow @Deepvue
— Reply with your favorite Model Book setup (flat base breakout, pullback to a moving average, etc.)
Bonus
4.7K views · 26 likes
· 1 reposts · 15 replies
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Frente a cuentas del mismo tamaño
16 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.
Visualizaciones medianas776esta cuenta956mediana de 10K–100K
Alcance, %2.09%esta cuenta3.36%mediana de 10K–100K
Interacción, %1.24%esta cuenta1.90%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 776 | 956 | 0.81× |
| Alcance (visualizaciones ÷ seguidores) | 2.09% | 3.36% | 0.62× |
| Tasa de interacción | 1.24% | 1.90% | 0.65× |
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
734 Sep
131
2.8K5 Sep
3.9K
652
8.9K
464
221
223
953
900
3.5K6 Sep
31
2.3K7 Sep
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
4.11%4 Sep
3.05%
0.21%5 Sep
0.28%
1.23%
0.96%
1.29%
1.81%
2.24%
0.42%
0.89%
1.24%6 Sep
3.23%
1.21%7 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.90%.
What the audience does
Likes60.2%210 in total
Reposts4.3%15 in total
Replies9.5%33 in total
Quotes1.1%4 in total
Bookmarks24.9%87 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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