666

🌍 รู้ทันก่อนตลาดขยับ
เกาะล้อ Smart Money
📊 Follow The Money. Understand The Market

[Ilias Miah @iliasconfidency]

A truck is running 47 minutes late. The AI agent already found a faster route.

One click approves it, the ETA rolls back inside the window, and the customer gets live tracking.

Would you let AI reroute your trucks automatically, or approve every change yourself?

[Dilum Sanjaya @DilumSanjaya]

Industrial software doesn’t have to feel like industrial software

Manage warehouses like you’re playing a strategy game

Built with Opus 5.5

[VALIX @RetroValix]

This guy built a late-resolution bot on Polymarket and made $98,842

His algorithm almost always waits until the final seconds of 5 minute BTC Up/Down markets before building a directional position:

1. Monitors the market for most of the trading window and enters near resolution

98.2% of its purchases occur in the final minute

The median first entry occurs 56 seconds before the market ends

For the first four minutes, it tracks BTC’s price movements. It then starts buying its chosen outcome in small amounts

2. Buys the more likely outcome if it still considers it undervalued

89.8% of its fills are at 50c+

More than half of its purchases are at 80c+, and those trades account for 65.9% of its total volume

3. Uses the opposite outcome to adjust net exposure

It bought both sides in 29.55% of markets

If it holds 100 Up shares and buys 40 Down shares, part of the position becomes hedged, while 60 Up shares remain directional

If it then buys another 140 Down shares, its original Up position is fully hedged, and the directional residual shifts to Down

Buying the opposite outcome lets it reduce or fully reverse its directional exposure

Its Polymarket account: NIULAI4

Stats:

> Trades per active hour: 53.89
> Average trade size: $26.56
> Win rate: 81.42%

NIULAI4’s main edge comes from late-entry probability trading: it waits for a stronger BTC signal near the end of the market, buys the undervalued outcome, and uses the opposite side to rapidly adjust its exposure if conditions change

[rvaniaaa @rvaniaaaa]

I still don't understand why people are still explaining themselves to AI from scratch every single day

a hundred times this year, you told it who you are. a hundred times, it forgot

five minutes fixes this:

create a folder → name it raw → drop in any source, article, transcript, PDF, voice memo

tell the model to read it once → link it to everything already there → never touch it again

create one more file → name it CLAUDE.md → who you are, what you're building, what already failed

now every session starts here → the model reads it automatically → before you type a single word

ask it anything across everything you've ever fed it → it answers from months of compiled understanding → not from zero

most people quit around month one → nothing looks like it's working yet → that's exactly where the value starts

five minutes to set up. you never explain yourself from scratch again

[Displacement Trades @iamdisplacement]

Once you start making money from trading

Don’t upgrade your lifestyle.

Build a 1 year emergency fund

Create a second income stream.

Get a real chair. A real desk .

Join a Gym . Eat quality food

You’ll level up 10x Faster!

[The Inner Circle Trader @I_Am_The_ICT]

The 2025 Model In Simple Terms:

Determine a short term session\Day bias.

If Bullish - Seek Discount Arrays to enter on or after a short term swing low has been raided.

If Bearish - Seek Premium Arrays to enter on or after a short term swing high has been raided.

Frame intraday Price Runs from one Algorithmic Gap to an opposing Short Term Swing for Liquidity or Gap.

Macro times are optimal timing criteria but Price Runs inside the bias that began on a Macro can still be utilized.

Make a profitable execution and step aside for the day.

2% Risk per setup... one loss per day permitted.

That is it Folks... nothing complicated or too jarring.

Veteran students of mine see the simplicity... new Readers are probably not so impressed.

[Law Of Attraction Coach @manifestpower4X]

Everything is about to change suddenly.

You’ll look back and feel so grateful you never gave up.

The hard days were preparing you for this exact moment.

Blessings are already on their way — bigger, brighter, and right on time.

Hold on. Your breakthrough is closer than you think.

[HOUSE PORN @HOUSEPORN___]

luxury loft aparment

[✶ @echoesofworld]

Scotland

[Mind Mastery @masteriminds]

7 Girls Psychology:

1. If she teases you, she likes you.

[Andrea Cimitan @andreacimi]

After 7 years of trading this is what ACTUALLY works for retails:

1. Fundamentals & global macro cycles for long term bias.
2. Volume profile and Gamma/Charm/Vanna for areas and volatility regime.
3. Orderflow timing.
4. Quantitative analysis
5. Automatic risk management

[The Superior Man @superior_hombre]

31 micro behaviours that make you magnetic:

1. Pause 2 seconds before...

[Shayla @sportsbyshayla]

one of the most useful skills to have in life is learning how to pivot QUICKLY. more life is on the other side of whatever isn’t working out.

[INTERIOR HUNT @Interiorhunt11]

peak male happiness

[Rahul @sairahul1]

Top 10 YouTube channels to learn AI from scratch:

1) Andrej Karpathy – Deep yet accessible lectures on deep learning, LLMs, and an intro course on neural networks. https://t.co/QBpPHlrgh0
2) 3Blue1Brown – Stunning visualizations that make abstract mathematical concepts intuitive. https://t.co/kkWfM9JhCL
3) Lex Fridman – In-depth conversations with AI leaders, offering a broader perspective on the field. https://t.co/pZA5PeH01Y
4) Machine Learning Street Talk – Technical deep dives and discussions with top AI researchers. https://t.co/1qnEeHV9hi
5) StatQuest with Joshua Starmer PhD – Beginner-friendly explainers on machine learning and statistics. https://t.co/VP0PceT4Yz
6) Serrano Academy (Luis Serrano) – Clear and accessible content on ML, deep learning, and AI advancements. https://t.co/HARB8EQ9Oc
7) Jeremy Howard – Practical deep learning courses and AI-powered web app tutorials. https://t.co/BmHqGwQxvB
8) Hamel Husain – Hands-on lessons in LLMs, RAG, fine-tuning, and AI evaluations. https://t.co/kOndFF0b1S
9) Jason Liu – Expert-led lectures on RAG and AI freelancing tips for ML developers. https://t.co/nrbvujlUwi
10) Dave Ebbelaar – Practical guides on building AI systems and real-world applications. https://t.co/VuTtSgrfv4

[Daily Dose of Philosophy @PhilosophyDose_]

Tired —> Nap
Sad —> Music
Stressed —> Walk
Angry —> Exercise
Burnt out —> Read
Feeling lost —> Pray
Overthinking —> Write
Anxious —> Meditate

[The Inner Circle Trader @I_Am_The_ICT]

I am starting a new Playlist

ICT Price Action Chronicles

They are intended to review Algorithmic Price Delivery and how you should journal Price action.

It won't be a Playlist that goes forever but enjoy it while it lasts.

[Dear Self. @Dearme2_]

It took me 27 years to realize that the cheat code to life is just confidence.