Maartunn ✓
@JA_Maartun · Nederland · joined 23 Mar 2019
Crypto Data Analyst 🧑💼 | In Data We Trust 📊 | Featured in CNBC, Bloomberg 📰
47 218Followers
1 014Following
12 916Posts total
99.4KViews on collected posts
Últimas publicaciones
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Run it back, then dump? 👀
Bitcoin liquidity is building on both sides.
Above price, liquidity stretches toward the drop-off zone and slightly beyond.
Below, another key liquidity pocket sits near $75.5K. https://t.co/jaOaiH9RCS
2.1K views · 15 likes
· 0 reposts · 2 replies
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Markets are volatile right now 🌪️
Not funded yet? This is the time.
With Turbo:
• Only 9% profit needed to get funded
• Trade 24/7
• I’m personally on a $100K funded account
Use code MAARTUN for a discount on your evaluation. https://t.co/pVuQBdR0Gj
2K views · 5 likes
· 0 reposts · 1 replies
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Turns out CPI was the most volatility we got all day. Shocker.
If your prop firm locked you out during that, it's time to find a new one.
Trade every asset, 24/7.
We don't tell you when you can and can't trade.
8.9K views · 96 likes
· 7 reposts · 9 replies
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That was fun! 🔥
One of the best trading days we’ve had in ages.
And it might not be over yet.
Liquidity maps are already showing new clusters forming 👀 https://t.co/hX7hGMsJyY
7.2K views · 46 likes
· 1 reposts · 6 replies
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Bitcoin Short-Term Holders are back in profit 👀
93.2% of STH supply is now in profit.
STHs currently hold ~3.57M BTC. https://t.co/VoKrwKtP3b
4.2K views · 37 likes
· 1 reposts · 4 replies
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Bitcoin Liquidity Map, 12h lookback 👀
Friday is shaping up to be a juicy one.
Have fun trading, guys! https://t.co/cSzlGuasrc
10.9K views · 46 likes
· 4 reposts · 9 replies
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@JA_Maartun context matters a ton with onchain data, this is a good example
14 views · 0 likes
· 0 reposts · 0 replies
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@JA_Maartun True, focusing on those metrics alone can be misleading. Security is key. 🛡️
7 views · 0 likes
· 0 reposts · 0 replies
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@JA_Maartun @cryptoquant_com The interesting part isn't just the movement of coins, but how security events change holder behavior. Trust is one of the most important layers of Bitcoin adoption.
12 views · 0 likes
· 0 reposts · 0 replies
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🚨 Don’t mistake every Long-Term Holder spend for capitulation.
The Coldcard seed phrase issue may cause old coins to move as users secure their savings.
That can distort:
LTH Supply Change,
Coin Days Destroyed,
Spent Output Age Bands,
and other related charts.
This is not http
14.7K views · 80 likes
· 4 reposts · 11 replies
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@JA_Maartun @cryptoquant_com Old coins started moving fast after the Coldcard news. People are actually reacting.
35 views · 1 likes
· 0 reposts · 0 replies
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@JA_Maartun @cryptoquant_com ⤴️ Right before everything moves
105 views · 1 likes
· 0 reposts · 0 replies
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77,402 BTC from older UTXO bands has moved since the Coldcard seed phrase bug became public.
The biggest takeaway? People are not ignoring the risk. They’re acting. https://t.co/NXBT6Oabk2
27.7K views · 50 likes
· 4 reposts · 6 replies
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Seems people really moved their Bitcoin out of extreme caution after the coldcard hack.
Bitcoin daily active addresses spiked from 645k on July 30th to almost 1M on July 31st, the highest daily level since December 10, 2024.
This is evident in the spike of active sending https:
21.4K views · 79 likes
· 6 reposts · 4 replies
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Frente a cuentas del mismo tamaño
15 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas2 147esta cuenta1 051mediana de 10K–100K
Alcance, %4.55%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.65%esta cuenta1.70%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 2 147 | 1 051 | 2.04× |
| Alcance (visualizaciones ÷ seguidores) | 4.55% | 3.62% | 1.26× |
| Tasa de interacción | 0.65% | 1.70% | 0.38× |
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
27.7K2 Aug
105
35
14.7K
71
12
7
143 Sep
10.9K11 Sep
4.2K
7.2K
8.9K
2K13 Sep
2.1K
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
0.22%2 Aug
0.95%
2.86%
0.64%
1.41%
0.00%
0.00%
0.00%3 Sep
0.54%11 Sep
1.01%
0.74%
1.26%
0.30%13 Sep
0.79%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.70%.
What the audience does
Likes81.3%457 in total
Reposts4.8%27 in total
Replies9.3%52 in total
Bookmarks4.6%26 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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