19 year old Japanese student built a trading bot with Claude Code in 2 days.
Used his iPad as a second monitor.
First night: $6,732 profit.
Starting capital: $68.
Total profit so far: $750,000.
[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 @david_marco45 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌]
Here's how it works👇
The bot scans over 50 markets simultaneously.
Syncs live BTC data from Binance every second.
Spots price errors before humans even notice.
The edge is pure speed + pattern recognition.
While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets.
No guessing.
No emotions.
No hesitation.
Just Claude Code logic finding gaps that close in seconds.
He built the entire system in 48 hours:
→ Claude Code handles the trading logic
→ Binance API feeds real-time BTC data
→ iPad displays multi-market monitoring
→ Executes trades when arbitrage windows open
The system runs 24/7.
Every price dislocation = profit opportunity.
Most people are still trading manually, refreshing charts, second-guessing entries.
Meanwhile this 19 year old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear.
Why are people still trading manually?
I'm giving away the exact Claude Code setup for free.
24 hours only.
To get it 👇
1️⃣ Comment "CLAUDE BOT "
2️⃣ Like and Repost
3️⃣ Follow @david_marco45
(so I can send it via DM)
F*ck YES... Anthropic just dropped the most UNFAIR cheat code for Claude Code:
Fable 5.2 as an advisor. Sonnet does the work, Fable only steps in when it matters.
One customer got the same work done 5x cheaper.
How it works:
Sonnet 5.5 runs the main session. Writes the code, runs the tests
Fable 5.2 sits on call. Reads the whole session, never writes code
Opus 5.5 checks every diff and tries to break it
6 Haiku agents scan files and docs in parallel
Fable wakes up only 3 times:
1. before a plan locks
2. when the same error repeats twice
3. before Claude calls it done
The rest of the time you pay Sonnet prices, not frontier prices.
One command:
claude --model sonnet --advisor fable
Fable 5.2 came out this week. Up to 30% faster than 5.1, $8 in / $40 out per 1M tokens.
Setup:
1 → run claude update, Fable 5.2 needs Claude Code v2.1.321+
2 → paste the prompt from the reply into Claude Code, it reads Anthropic's official advisor docs first
3 → it sets the team at user level, so it works in every project: Sonnet main, Fable advisor, Haiku for search, an Opus checker
4 → it backs up your settings and shows every change as a diff before it applies it
5 → the part nobody tells you: Sonnet decides when to call the advisor, and left alone it often skips it. One line in CLAUDE.md tells it WHEN
full prompt + Anthropic's official advisor docs in the reply
This guy used Grok to build a Quant Holder-Graph scanner and and it made $3,634 a day on Polymarket
The result is already +$728,719.11 PnL in 250 days with about $51.10 per average trade, repeating the same setup about 88.2 times per active hour across BTC Up/Down markets
Several AI agents work together as one algorithm:
1. Concentration Filter measures who really owns the supply
The first agent receives every holder of a new launch, their balances, and the total supply
Then measures it:
HHI = Σ sᵢ²
Top20 = Σ s₁…s₂₀
Where:
> sᵢ = share of supply held by wallet i
> HHI = how concentrated the supply is, from 0 to 1
> Top20 = share held by the 20 largest wallets
A token only moves on when the supply is spread wide enough that no single wallet controls the chart
2. Cluster Graph models wallets that act as one
The second agent links any two wallets funded from the same source within minutes or buying in the same block:
Bₜ = Σ s_cluster,ₜ
During the first hours after launch, the model tracks how that bundled share changes:
Operators = Holders − Σ (|cluster| − 1)
Where:
> Bₜ = share of supply controlled by bundled wallets
> |cluster| = number of wallets inside one cluster
20 top holders can collapse into 6 real operators, and the model flags the token before the chart shows anything
3. Sell Impact estimates what happens if the biggest cluster dumps
The third agent simulates the largest cluster selling into a pool with x SOL and y tokens:
Impact = 1 − (y / (y + Δy))²
Where:
> Δy = tokens held by the largest cluster
> Impact = expected price drop from that one sell
If a single group can crash the price by more than 30%, the token never reaches the feed
4. Score combines everything into one number
S = 100 × (w₁·Curve + w₂·Dev + w₃·(1 − B) + w₄·(1 − |Impact|))
Hard gates first: a dev with prior rugs or B above 30% is an instant reject
Only S ≥ 80 gets pushed to the alert feed
Top alerts:
$ECHO $412K → $2.91M (7.06x)
$NOVA $640K → $4.38M (6.84x)
$TOAD $530K → $3.12M (5.89x)
Concentration Filter checks who owns the supply, Cluster Graph finds the wallets moving together, and Sell Impact prices the dump before it happens, so only tokens with real room to run make it through
Comment "DN" and send me this post in DMs, I'll give you access my to setup
I'm shocked people still cant make $30/k month with with Faceless Youtube
Usually I'd only give this to paid students, but today it's yours 100% free
Like and comment "channels" and I'll send you the link to to my proven 500+ niches that earn over 6 figures
Our brand did $1.7M in sales in ONE day.
AI is changing ecom.
Agents already run key functions for us.
They help automate our best people's proven work.
I filmed a 25 min vid on how we're adapting.
& what still matters.
Like + RT + comment "AI" (must follow) & I'll DM it.
After generating $172M+ in revenue across 90,000 AI-built stores I'm giving away the complete system:
- Find products from TikTok comments and Amazon 1-star reviews ($0, 30 minutes, better than any spy tool)
- Paste supplier link → AI builds full product page in 60 seconds (headline, benefits, reviews, FAQ, sticky cart)
- One-click Shopify import on the free Dawn theme (loads 1.8 seconds, outperforms every $180 premium theme)
- AI matches page layout to product type automatically (supplements get advertorial, kitchen tools get direct-pain, impulse gets single-screen)
- The $50 test protocol (broad targeting, 48 hours, under 2% = dead, over 2% = scale)
- The 5-Demographic Framework (women 45-65, men 55-70, dog moms, new moms at 3am, European markets at $2-4 CPMs)
- AI translation into 40+ languages in 60 seconds (one afternoon = 5 new countries)
- 6 Backend Systems on autopilot (abandoned cart, upsells, subscriptions, predictive reorder, UGC collection, bonus credit returns = $25-40K/month from existing traffic)
Comment "72" and I will send you the full 36-page breakdown - from finding winning products to live AI store with ads running
(must be following)
I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
Comment " Grok_Bot "
2️⃣ Like and Repost
3️⃣ Follow me @quantumaix8
I'll DM you the complete setup.
I just made a free private Discord server where I will mentor 5 random followers to their first $1,000,000 starting on November 9th
free of charge as i do not need your money since i actually make money trading
Like, REPOST + comment “FREE” to be added
(must be following to join)
WALL STREET spends millions on quant teams.
I spent $20 on Claude.
Yesterday:
fired.
rent late.
$25 left in my bank account.
I opened Claude and typed:
“Analyze profitable Polymarket wallets from the last 90 days and build me an edge.”
Then went to sleep.
Woke up to:
+$4,237.
While I was asleep, the agent:
• scanned 10,000 wallets
• filtered fake alpha from real edge
• tracked sizing, timing, and conviction
• found traders consistently beating the market
Then it built a fully automated strategy:
→ monitors breaking news
→ maps narratives to active markets
→ detects mispriced odds
→ executes arbitrage
→ sizes positions dynamically
Started at 11:47 PM.
By morning:
94 trades executed.
Zero manual input.
No fear.
No greed.
No second-guessing.
Just data reacting faster than humans can.
People keep asking if AI will replace jobs.
Wrong question.
The real question is:
what happens when one person gets access to tools that used to belong only to Wall Street?
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'AutoPilot'
2. Like and Retweet this post
3. Follow me @ameliahazelai
wait, wait, wait...did u see it?!
Elon's Grok and Sam Altman's ChatGPT 6.1 fought over my $300 all night
went to bed at 11:02pm with $300. woke up at 7:01am to $5,272.18
1,838 fills. about $2.71 each. I didn't place a single trade
the play is market making. the most boring trade on Wall Street, the one Citadel built an empire on. quote both sides, never pick a direction, take a few dollars every time someone crosses the spread
one-person desk. Grok bots, one job each:
→ TAPE reads the order book
→ BUILDER quotes both sides
→ QUANT keeps inventory flat
→ GUARD pulls every quote the second one side gets swept
→ Grok Bot makes the call
ChatGPT 6.1 got one job too: kill Grok's worst ideas
the actual chat:
→ grok: "flow's all on the bid. leaning long"
→ chatgpt: "no. you don't lean. quote both sides"
→ grok: "fine"
→ GUARD: "ask side swept. pulling everything"
→ grok: "re-quote wider?"
→ chatgpt: "wait for the book to refill"
→ grok: "you're no fun"
→ chatgpt: "veto #9"
the night in numbers:
→ 41 trades read by ChatGPT
→ 9 killed
→ 10 of 31 still lost money
→ $300 → $5,272.18
it made money by refusing to have an opinion. that's the entire trick
the rules, ready to copy:
1. quote both sides, never pick a direction
2. inventory stays inside ±2%
3. one side gets swept → pull everything
4. Grok wants to lean → ChatGPT says no
5. flat by 7am, no matter what
the bots do 90%. I'm just the human yes
one night proves nothing. a hard trend day blows straight through ±2%. small size, kill switch on
first time two AIs arguing actually paid my rent
steal this desk. send this to your Grok Bot
save this before Monday's open
follow for the setups nobody shares
comment "DESK" and I'll send you the full setup
single night, not typical, not financial advice