NΞ∆

Pragmatic engineer and quantitative trader focused on meaningful solutions. I build systems that matter, leveraging AI to accelerate real-world impact.

[NΞ∆ @NeaByteLab]

NeaByteLab Bets Five Years on Pure Proof

https://t.co/zBSjiY6KLI

[NΞ∆ @NeaByteLab]

👀

[NΞ∆ @NeaByteLab]

$BTCUSD

[NΞ∆ @NeaByteLab]

Okay, finally I got new proof of how this bot is moving and affecting the market. Market movement is random, but it is controlled by time.

Take that small amount of money, gonna write some useful research. Crazier manipulation still next week, see you.

[NΞ∆ @NeaByteLab]

@arisetyo_v2 "The prompt skill economy will keep on selling its shiny mirage, and simply walking right past it is the real quiet advantage." 🏃

https://t.co/0XJ7g1DQsq

[NΞ∆ @NeaByteLab]

Series 2 - Psikologi dan Disiplin

Akses gratis disini: https://t.co/sXXRxK4tXF

[NΞ∆ @NeaByteLab]

Kesalahan pada Trade Pertama

Memahami alasan kerugian pertama itu wajar, lalu mengubahnya menjadi fondasi berpikir seorang trader yang mampu bertahan.

Akses gratis di sini: https://t.co/KCm9TxHDop

[NΞ∆ @NeaByteLab]

$BTCUSD failed to break $62k and headed to the 60k area. Instead, it pumped to the $64k area. $62k area is crucial, but who injected that much money there lmfao.

[NΞ∆ @NeaByteLab]

I don't know what'll happen until tomorrow morning, but my system says $BTCUSD must hit $60k tomorrow.

I'm super busy, see u later.

[NΞ∆ @NeaByteLab]

$BTCUSD @ $60k 👀

[Qwen @Alibaba_Qwen]

📢Meet Qwen3.8-Max — our most capable model to date.

Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉

Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:

- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.

💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens

Start building with Qwen3.8-Max! 🚀

📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN

[NΞ∆ @NeaByteLab]

Scheduled on Tuesday

[NΞ∆ @NeaByteLab]

Inner circle sudah penuh, sebagai komitmen pertama kami akan membagikan sedikit pengetahuan tentang trading kepada siapa saja secara gratis.

Kami membagi "Quantitative Trading Series" menjadi 6 seri, dan seri pertama akan dirilis minggu depan 👀

[NΞ∆ @NeaByteLab]

Di Indo masih jarang banget yang nge-combine statistical edge & LLM buat trading. Sekarnag platform-nya lagi di-build dan ditargetin rilis September 2026 pas momentum pre-bull market.

Gw nyari 5 orang partner buat masuk inner circle, S&K DM 🫡

[NΞ∆ @NeaByteLab]

@Ikhwanhsn Perawatan mata jangka panjang, layar Apple XDR juara 1 😆

[NΞ∆ @NeaByteLab]

5B 😶

[NΞ∆ @NeaByteLab]

Me with 40 agents rn, keeping them learning till they're better than every human in the world 🏃

[NΞ∆ @NeaByteLab]

Jumped to 1.14B, the money is unlimited 💰

LLM costs remain next to nothing 🙃

[NΞ∆ @NeaByteLab]

Happy weekend 🎶

Same vibe, still at the same desk 🤠

[NΞ∆ @NeaByteLab]

Bang lu kok nyinyir mulu?
Ini akun random musings, pribadi dan tidak terafiliasi apapun.

Sesekali cuman catet aja pelajaran hidup, biar ga lupa diri.

[NΞ∆ @NeaByteLab]

200 pre-rules picked by random input? 100% not realistic and a waste of money. Paper statistics aren't hotter than reality, imo.

[NΞ∆ @NeaByteLab]

The token usage jumped because I added more agents (75) to help me do live trade tests on my new edge. This hurts, but in reality it's cheaper than spending real money.

[NΞ∆ @NeaByteLab]

E.g. I have 200+ pre-rules, and weighting them for real trading action can't be made easier than by simulation.

[NΞ∆ @NeaByteLab]

The main reason I picked an LLM is because I need the reasoning behind each thesis, even though the pre-rules already give a nice win rate. In reality, consistent conviction can only be built from a real thesis