Deep Inference ✓
@DeepInference · joined 08 Jan 2025
the more I learn… the more I realize how much I don’t know - Einstein. Partner of @aionanalytics
16 003Followers
255Following
9 507Posts total
164.7KViews on collected posts
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$CCXI has now retraced its entire move since it became associated with this stunning piece of metal. https://t.co/MmAoB9tJBn
4K views · 20 likes
· 0 reposts · 6 replies
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Nothing good happens when the macro regime models go 0/3. Write that down. https://t.co/rl4dmcLwh2
14.7K views · 48 likes
· 1 reposts · 6 replies
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0:11
@DeepInference This is one of the most important lessons.
312 views · 2 likes
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@DeepInference Risk management is always the most important well said
823 views · 2 likes
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@DeepInference Flawless as always https://t.co/XmQ7rmDHBM
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GIF
One last thing before the data comes in, and it matters more than any reading in this thread.
Survival mentality.
Manage your risk. Your trade, your number. How much are you willing to lose on one idea? If you don't know the answer before you enter, the market will answer it h
20K views · 67 likes
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GIF
So what does the picture say? Step back with me.
Every short-term reading in this thread is coiled for a bounce. Breadth at prior snap-back zones, extremes in the contrarian zone by the terminal's own labels, liquidity forecast to push higher into end of month. If September http
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GIF
Now look at where the money went while all of this was building.
The sector rankings have energy on top, crypto and the MAG7 right behind, metals and materials not far back. Read that list again. Scarcity trades and mega-cap balance sheets. Meanwhile the bottom of the table, htt
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Now the deep current. The macro regime.
While the surface readings argue with each other, the terminal's cross-asset regime model has had no doubt at all. It flipped risk-off in mid-August and hasn't printed a single risk-on day since. The history table is a wall of red.
And ht
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Now the pressure gauges, and here the contradiction stops hiding.
On both indices, the oversold reading has climbed into what the terminal calls blood in the streets, historically the contrarian zone where beaten-down markets get bought. At the exact same time, market stress is
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Now put a clock on all of this.
PPI hits Thursday morning. CPI Friday. Back-to-back inflation prints landing directly on top of internals that just flagged stressed on both indices.
Remember what reading two told you. Compressed breadth doesn't drift, it snaps, and it usually h
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Second reading, taken on two screens.
SPX and NDX internals both flagged stressed. Short-term breadth is stretched to the downside, sitting in the same zone that produced bounces earlier this year. Meanwhile new lows are expanding and NDX leadership at the longer highs has gone
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First reading. The tide.
Global liquidity is the water everything floats on, and right now it's giving us the first contradiction. The proxy is flagged unsupportive, liquidity decreasing as of today. Yet the model's forecast shows it pushing to near-term highs into end of month.
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Before a storm actually breaks, the signs contradict each other. The pressure drops but the sky is clear. The air goes still while the water gets restless. Animals move before there's anything to see.
Nothing agrees, and yet everything is responding to the same thing.
That's ht
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0:11
Quick context if you're new here.
Everything you're about to see comes from the Aion Terminal, a quant research platform I built. Machine learning models, regime detection, dealer positioning, breadth internals, the same class of tooling institutions use, reading the same market
2.9K views · 19 likes
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How important are macro regime models?
You tell us.
The Macro Regime composite has been defensive since mid-August.
This week the last holdout pair rolled over. All three cross-asset legs are now risk-off at the same time.
Not a prediction. A reading. The history panel is htt
19.5K views · 15 likes
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@DeepInference Agreed. Selfishly want a little lower
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If $ORCL gets paid when there has only been one occurrence of a 52week high into a 60%+ drawdown, you're going to kick yourself for not buying here.
We're gonna put this post in the "remind me of this in 4 years" bucket. https://t.co/711xxsU661
39.8K views · 42 likes
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Face aux comptes de taille comparable
18 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.
Vues médianes2 264ce compte924médiane pour 10K–100K
Portée, %14.15%ce compte3.62%médiane pour 10K–100K
Engagement, %0.67%ce compte1.52%médiane pour 10K–100K
| Indicateur | Ce compte | Médiane pour 10K–100K | Rapport |
|---|---|---|---|
| Vues médianes par post | 2 264 | 924 | 2.45× |
| Portée (vues ÷ abonnés) | 14.15% | 3.62% | 3.91× |
| Taux d'engagement | 0.67% | 1.52% | 0.44× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
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
2.1K10 Sep
2K
1.8K
1.8K
2K
9.1K
20K
353
823
312
14.7K14 Sep
4K
4.1K
1.4K
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
1.12%10 Sep
0.95%
1.32%
0.90%
1.18%
0.56%
0.38%
1.13%
0.36%
0.96%
0.37%14 Sep
0.65%
0.46%
0.36%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes73.4%517 in total
Reposts2.1%15 in total
Replies6.7%47 in total
Bookmarks17.8%125 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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