FUCK, THIS KID TRADER REPORTEDLY
MADE $187,000 IN JUST 20 DAYS
COPYING MILLIONAIRES’ MEMECOIN TRADES 🤯
Check: https://t.co/EHckQIYkdh
here’s how he discovered his edge:
→ he tracks smart-money wallets and successful memecoin traders to spot tokens that could gain traction before the rest of the market notices them.
This kid reportedly used whale-wallet tracking to identify potential opportunities before the hype kicked in.
→ when profitable wallets begin buying a low-cap token, he looks for signs that buying pressure could be building.
→ he studies their transactions to spot early entries and find memecoins attracting attention from experienced traders.
→ he follows wallet activity to see which positions are growing, where traders are taking profits, and which new tokens they’re moving into.
→ rather than buying after a token pumps, he looks for potential setups before the crowd starts chasing the price.
The reported $187,000 result remains unverified, and past performance doesn’t guarantee future returns.
Even experienced wallets make losing trades, and copying their moves won’t necessarily produce the same results.
But the concept is simple:
Stop gambling on random memecoins.
Track skilled wallets, study their moves, and search for opportunities before the crowd catches on.
Comment “COPY TRADEZ” and I’ll send you his strategy.
This guy used Grok Bot to build a Quant Expansion system and it made $4,148 a day on Polymarket
The result is already +$319,431 PnL in 77 days with about $483 per average trade, repeating the same setup roughly 32 times every hour across BTC "Up or Down" markets
Several AI agents work together as one algorithm:
1. Choppiness Index detects when BTC is trapped inside a narrow range
The bot compares total movement with the distance between the recent high and low:
CHOP = 100 × log₁₀(ΣTR / Range) / log₁₀(N)
Where:
ΣTR = total True Range over N intervals
Range = highest high minus lowest low
High CHOP → sideways movement
Low CHOP → stronger directional movement
The bot watches for a transition from consolidation into a cleaner trend
2. Keltner Channels identify the direction of the expansion
The system calculates two volatility-adjusted boundaries:
Upper = EMA + 2 × ATR
Lower = EMA - 2 × ATR
Then:
Break above Upper + CHOP falling → stronger Up signal
Break below Lower + CHOP falling → stronger Down signal
This separates an ordinary movement inside the range from a breakout supported by expanding directional activity
This is the first agent that will create a Quant system for you and then build it:https://t.co/8tvtHFdE4P
This trader’s Polymarket account: norm1e69
Most profitable trades:
$1,591 → $4,044 (+$2,453)
$1,616 → $3,984 (+$2,368)
$1,584 → $3,517 (+$1,932)
The system uses Choppiness Index to detect the transition out of consolidation and Keltner Channels to confirm the breakout direction
15 GitHub repos can replace a motion design team
Build your own AI video studio, from a single prompt to a cinematic 4K MP4
(1/15) Remotion
turn React code into videos with programmable scenes, transitions, and rendering
▸ https://t.co/Q5XEe3bmbM…
(2/15) Excalidraw
map your storyboard, camera movements, and scene sequence
▸ https://t.co/9i85NKE7XN…
(3/15) Penpot
design professional layouts, style frames, and reusable visual components
▸ https://t.co/wfy2yuDjzC
(4/15) Fontsource
give every scene consistent typography with self hosted fonts
▸ https://t.co/esu5ky1N1D…
(5/15) Lucide
add clean, consistent icons to dashboards and animated interfaces
▸ https://t.co/qPXKokMvJX…
(6/15) SVGator alternative: Motion
animate interface elements with smooth transitions and spring physics
▸ https://t.co/cRZOg955e9…
(7/15) GSAP
control complex animation timelines, easing, and synchronized movement
▸ https://t.co/jwB1Os685o
(8/15) Three.js
create cinematic 3D environments, lighting, materials, and camera movements
▸ https://t.co/HJO5i0BNLn
(9/15) React Three Fiber
build reusable 3D scenes directly inside your React workflow
▸ https://t.co/6KibbXKJvE…
(10/15) React Three Drei
add ready made 3D helpers, controls, and scene utilities
▸ https://t.co/KEVVrxM24Q
(11/15) Blender
model detailed objects, build environments, and render 3D assets
▸ https://t.co/xrO7bXjFtk
(12/15) Lottie Web
play lightweight vector animations inside web based scenes
▸ https://t.co/3Rj8i6R78x…
(13/15) Audacity
clean voiceovers, edit sound effects, and balance audio
▸ https://t.co/496lTOphtZ…
(14/15) Whisper
generate speech transcripts for captions and subtitle timing
▸ https://t.co/ftAkyD2MvO
(15/15) FFmpeg
encode, compress, inspect, and export your final MP4
▸ https://t.co/z1nZQq5NNE
The best part?
You don’t need 15 separate workflows
Use an AI coding agent to orchestrate the tools, reuse your scenes, and automate the repetitive work
Start with npx create-video@latest, build one reusable 10 second scene, then expand it into a complete video
Save these 15 repos before your next video project
Grok Bot + Opus 5.5 just reverse-engineered Meta glasses...
1 hand + 50 sec = +$2,150: it reads every card, every chip, every tell at the table and tells exactly what to do
the full prompt is in the comments, here's how it went step by step:
step 1 → connect the glasses to Grok Bot, the camera feed goes straight into Opus 5.5
step 2 → it scans my hand: 4-5 suited, 33% to win - "raise $50"
step 3 → villain 3-bets, Opus puts him on QQ+ - "call, implied odds pay later"
step 4 → turn, he checks after a 1.4s hesitation - "bet $200, he's weak"
step 5 → river gives me a full house, Opus reads frustration 91% on his face
step 6 → "bet $1,600, he's capped" - he calls, prediction correct
the result: +$2,150 in one hand
Try it now, you're welcome. Then read article below on how to build your own Grok Bot team: