CryptoPepper

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To verify my logic, the Memory Palace + Multi-layered Learning Feedback Model, I looked up some academic papers (numerical + text + K-line, multimodal market intelligence, double-layer reflection, diversified memory retrieval)
Unexpectedly, there was a paper published in 2024, reporting an average profit increase of over 36%, with a return of 92.27% on a single dataset
The "multi-layered Memory Palace" learning engine, in my opinion, is verifiable
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Over a month of time has already iterated to v5
The AI alchemy group is too terrifying
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688508 is a Discord push I posted (it’s my AI cross-domain sector rotation system for A-shares, Hong Kong stocks, and US stocks)
Only two days—76 said it, and now it’s at 85, roughly up 13 points
@leslieloser_ and @memekiller365 are both solid stock traders
Skilled in AI, can make a few tens of thousands per day (stock volatility is much higher than crypto)
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Why the financial markets cannot be universally understood
Grabbing OI/CVD, I suppose many bloggers have written about it as well, I myself once implemented a series of OI/CVD monitoring strategies, which indeed proved effective (early last year I had a signal notification group because the strategy could detect faster than Vida's OI monitoring by 3-5 minutes)
When do I think this kind of strategy is no longer suitable?
When all exchanges start to equalize skills and move towards agent-based systems, it inevitably leads to MM strategy adjustments
A short-term surge in OI volume — quick
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Why is it said that financial markets cannot achieve knowledge universality?
Monitoring OI/CVD—probably many bloggers have written about it. I myself once developed a series of OI/CVD monitoring strategies, which indeed proved effective.
When did I think these strategies no longer suited the situation?
When all exchanges began to equalize skills and move towards agent-based systems, it inevitably led to MM strategy adjustments.
A short-term surge in OI volume—quickly closing positions—causes all short-term automated bots following along to be "trapped."
This is the new era's perp san
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Social media automation factory - I’ve changed the way I write it
Humans carry script-based thinking, and these scripts are deeply ingrained. Let me give an example: multiple instances of intelligent agents running - then passing information to the next agent - ultimately completing the task.
So what if there are no intelligent agents? Wouldn’t it still be able to complete the task?
This is the same as what everyone keeps talking about with AI trading. If you still let AI learn script-based thinking, learn to give human instructions to start creating indicators, then what’s the differenc
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No need to be questioned
These days, Hoewei / Minohua together have gained a total of 22 points, the money earned in A-shares is really different from the crypto circle
I mentioned 688508 at noon, and it opened with just 3 points in the afternoon
By the way, I listened to advice and bought Jiuan, wish me good luck
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China Cigarette Museum - Has Evergrande ever sold cigarettes?
The website currently features over 3,200 cigarette products under 218 brands. It covers well-known brands from mainland China (such as Zhonghua, Yunyan, Huanghelou, Shuangxi, Baisha, Zhongnanhai, etc.), as well as brands from Hong Kong, Macau, Taiwan, and international brands (such as Marlboro, Sobranie), along with some discontinued cigarette brands.
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So interesting
From context engineering to Hermes self-iterative memory, and then to the LLM wiki
From the earliest Kimi multi-agent swarms I used to the open-source Paperclip framework, and then to Capaciti’s autoresearch
Now it’s Symphony—this month I’ve learned AI faster than others have in years
As long as you learn fast enough, every day is freshly made
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GateUser-e9974fb0:
1000x Vibes 🤑
Beijing catches cottonwood fluff to exchange for milk
Does it look like pretending to send lobsters in exchange for eggs?
The deep-rooted cultural legacy of the Chinese people's bad habits
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V4 distillation group has started. Congratulations to everyone for making it to the next season.
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Salted fish is still a bit too far ahead.
The Hague certification from Nanyang Technological University in Singapore can be arranged too.
So basically, you don’t have to go to school and can just get certified directly, right?
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AI cross-market arbitrage was pushed to me yesterday, 603501 (I woke up late this morning), so I followed into semiconductors—looks like this one is about to hit the daily limit. Quickly post it in the small group.
Briefly explain the logic
[1] Universe → 1560 target pool (, each sub-sector has 20–50 stocks (summarized)
[2] Yahoo OHLCV → 60-day K-line for each stock
[3] Mappings → (chain_group, fine_category) × cross-market pairing
[4] Trigger → Select the currently strongest sub-sector
[5] Rule scenario → Give the current snapshot a global scenario-level score (
) Per-symbol → F
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One generation has its own "Fupeng" @fupenglondon
Teacher Li Daxiao back then, always bullish, shouting loudly about baby bottom, diamond bottom, gold bottom, filling the air with excitement, old investors were directly filled with adrenaline, look at Shanghai Construction's senior being trapped for decades
Later, Teacher Ren Zeping took off directly, grasping macro trends, throwing out catchphrases wildly, even crossing over to live streaming sales of hair growth products, young people call him "Teacher Zeping" one after another, traffic gods, Teacher Zeping doesn't look down on BTC
Now
BTC1.97%
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Men love to mess with their hairstyles the most
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Then I'll lightly set up my one man MCN (single-person network)
Using AI magic to beat you bunch of overachievers
1. Front-end + UI basics ☑️, API schema ☑️
2. Backend logic causal chain ☑️
Once I get the access control + rules of the spec sorted out, I can start parallel development
Trust your teacher Huajiao, I can be top 1 in any industry I enter
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I have created a variant version of the LLM knowledge base architecture, new!
Anytime, anywhere, as long as I bookmark an awesome article on X, it will automatically import into Github -> through Github action + OAuth authorization of Cluade -> it can automatically call my subscription quota in the cloud
Then complete all classification and organization in the cloud -> knowledge graph -> finally, I just need to load a Git auto-pull Obsidian plugin locally
I can directly access all organized files/materials.
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It has indeed been confirmed that A’s model started acting dumb from the 4th of last month because default reasoning was adjusted from high to medium.
Also, I just checked zhege bug—this should have already been fixed, but they’re still holding it back and not releasing it, waiting for GPT 5.5 to come out…
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