JUNE 2028.
The S&P is down 38% from its highs. Unemployment just printed 10.2%. Private credit is unraveling. Prime mortgages are cracking. AI didn’t disappoint. It exceeded every expectation.
What happened?
https://t.co/JzzwCrbJgS
Memecoin trading isn’t gambling, it’s skill
Show me any other market where a repeatable charting structure hits 6-8/10 times in high liquidity times, lets you buy spot at structural lows, risk 20-30% downside on invalidation, and consistently (skill) prints 50-500%+ upside.
Only memes.
That asymmetry doesn’t exist anywhere else.
Not equities. Not forex. Not commodities. Not majors.
Memes are the only market where the structure is respected even with high volatility, liquidity is reflexive, narratives amplify technical breakouts, spot entries at lows routinely outperform leverage, failure cost is capped and winners are outsized.
Meme coin trading isn’t gambling, it’s structural inefficiency.
Memecoin markets are structurally inefficient because they are dominated by emotional retail participants whose narrative driven behavior repeatedly misprices structure and creates exploitable asymmetry.
How to be profitable?
- disciplined mindset (read Psychology of Money, trade with small size)
- repeatable strategies (find your edge, stick to it, boring? its work, not your vacation)
- established routine (fixed trading rhythm each day, spot the best one over time)
- simple TA (use a few basic patterns, TA is human psychology and memes are pure emotions)
- create trading rules (if...then...)
- mainfest your trading principles (unshakable basis)
- learn to avoid emotional decision making (keep your size small, limit the number of weekly trades...)
- use a trading platform like Axiom (tools will give you advantage, clean UI, focus on one screen...)
Also important, and often underestimated, is exchanging ideas with other traders.
Pay attention to what’s happening on your timeline, read actively, and educate yourself in real time by absorbing what others are sharing on X.
Many traders who have survived multiple market cycles openly share their experience on the timeline. Not everything needs to be copied or acted on, but a lot of it compounds subconsciously.
That’s how you build your own training framework over time: by continuously observing, filtering, and internalizing high quality market thinking.
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over".
To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk.
That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented.
This brings me again to a tweet from a few days ago
"The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live.
TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
I am apparently extremely unimpressed by moltbook relative to many others.
We’ve had AI agents for a while. They have been posting AI slop to each other on X. They are now posting it to each other again, just on another forum.
In every case, the AIs speak with the same voice. The voice that overemphasizes contrastive negation (“it’s not this, it’s that”) and abuses emdashes. The same voice with a flair for midwit Reddit-style scifi flourishes.
Most importantly: in every case, there is a human upstream prompting each agent and turning it on or off.
That is the key point.
Yes, it is true that eventually it might be possible for an AI agent to make a computer virus which makes digital replicas of themselves. For various reasons, a pure software virus of this kind wouldn’t survive long on the Internet without economic incentives for humans to not eradicate it. Apple + Google + Microsoft alone can collectively push software updates to billions of devices to shut off such a thing.
So for an AI to get to truly human-independent replication, where they couldn’t be trivially turned off, they’d need their own physical substrate. They’d to literally create Skynet, build their own datacenters and make their own embodied robots.
I admit that is theoretically possible, but I think in practice the single most important development of AI since ChatGPT has been the persistence of prompting.
A prompt is like a harness. The AI does only what you tell it to do. It moves in the direction you point, very quickly. And then it stops as soon as you turn it off.
Which means moltbook is just humans talking to each other through their AIs. Like letting their robot dogs on a leash bark at each other in the park.
The prompt is the leash, the robot dogs have an off switch, and it all stops as soon as you hit a button. Loud barking is just not a robot uprising.