This trader built a Quant bot with Claude and pulled $218,425 in 64 days.
No team. No office. No Bloomberg terminal.
Just Claude + Polymarket API + one repeatable pattern.
The wallet started April 5th.
48,018 predictions executed.
31 trades per hour.
52% win rate.
$304.8K deposited → $372K total.
+71.7% ROI.
Average profit: $3,413 per day.
Most traders try to predict the future.
This bot reads what just happened and moves before the market reprices.
The entire system runs on one logic:
→ News breaks
→ Polymarket odds take 30 to 90 seconds to adjust
→ Bot enters during the lag
→ Exits before repricing completes
No predictions. No chart reading. Pure speed arbitrage.
Biggest wins:
$149 became $13,450
$204 became $8,905
$88 became $8,434
Same setup. Same entry pattern. Repeated 48,000 times.
The edge is not finding one perfect trade.
The edge is finding one mispricing and running it until the window closes.
Claude monitors:
→ Bloomberg feeds
→ Reuters terminal
→ Order book depth
→ Historical lag patterns
Executes through CLOB API.
Zero manual intervention.
The bot wakes up. Scans. Executes. Closes. Repeats.
$3,413 per day for 64 days straight.
You only need Claude + device + 1 hour to build.
Giving this free for 24 hours.
To get it:
1. Comment QUANT
2. Like and retweet this
3. Follow me @codewithimanshu so I can DM you
Save this post. Build the lag arbitrage system this week. Start with $500. Scale on evidence.
> be a 19-year-old Japanese student
>build a trading bot with Claude Code in 2 days
>use the iPad as a second monitor
scan over 50 markets
>sync BTC data from Binance
>spot price errors before humans
>first night: +$6,732
>started with $68
>total profit $750,000
Why do people keep trading manually?
Giving This Free for 24 hours. To get it:
1. Comment the word 'Claude'
2. Like and Retweet this post
3. Follow me @marryevan999 (so i can DM you)
ChatGPT Images 2.0 + Amazon listings is f*cking wild 🤯
I just generated a full Amazon listing image set for Barebells in 15 minutes.
One product photo in, six production-ready listing images out.
No shoot, no designer, no Canva.
Perfect for DTC brands selling on Amazon who are still shipping listings built from Shopify PDP photos or whatever the agency handed over 18 months ago.
If you're running an Amazon listing and your image set is generic lifestyle shots, a blurry hero, and a nutrition panel screenshot, this changes the entire game:
→ Feed ChatGPT Images 2.0 one product photo as reference
→ Use 6 prompts covering the Amazon listing formats that actually convert
→ Get back a full on-brand listing set in 15 minutes
→ Text renders correctly: dense feature callouts, ingredient percentages, comparison tables, before/after labels all come out clean
→ Upload straight to Seller Central
No shoot.
No designer back-and-forth.
No starting from scratch every time you launch a new SKU.
What you get:
→ 6 Amazon listing images built around the formats that actually convert
→ Copy baked into each image, pulled from real product claims, not generic benefits
→ Consistent brand colors, packaging, and product photography across the full set
→ A repeatable prompt stack you can reuse for every new SKU or brand
I put the exact 6 prompts I used into a free playbook: copy-paste ready, works for any DTC product on Amazon.
Want it for free?
> Like this post
> Comment "AMAZON"
And I'll send it over (must be following so I can DM)
I’M GOING ALL-IN ON CLAUDETold it: find mispriced
Polymarket markets and wallets exploiting arbitrage, then build a way to copy them.
$2K → $12K in one night.
No signals. No guessing.
Scanned 1,000+ wallets, tracked behavior, timing, sizing, filtered only real edge.
You can’t beat these bots without code. But you don’t have to.
Claude built a monitoring terminal that finds profitable wallets and copies them in real time.
~500 wallets tracked, 7 actively copied, ~70% win rate.
Never sleeps. Never hesitates. Just math.
Giving This Free for 24 hours.
To get it:
1. Comment the word 'Claude'
2. Like and Retweet this post
3. Follow me @0x_Discover
(so i can DM you)