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From writing and design to coding, research, and video creation — these AI tools can boost your productivity.
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🚨 A trader reportedly made $221,897 on Polymarket using a Quant Trading Bot built with Claude.
And the most interesting part? The biggest change came when he switched to an arbitrage strategy.
According to the shared data, this bot has been averaging approximately $3,467 in daily profit since April 12, while executing around 41 trades per hour.
Here’s a closer look at the numbers. 👇
📊 The Performance Breakdown
• Total reported profit: $221,897
• Total predictions: 62,812
• Win rate: 58%
• Average trading activity: 41 trades per hour
• Deposits: $82,800
• Reported ROI: +267.9%
• Reported performance period: 64 days
His first trade was on March 6.
But April 12 marked a major turning point.
That’s when the bot reportedly switched to an arbitrage-based strategy designed to identify pricing inefficiencies on Polymarket.
🧠 How Does the Strategy Work?
The core idea is simple: find opportunities where the combined price of YES and NO shares is below $1.
For example:
If YES costs $0.48 and NO costs $0.49, the combined cost is $0.97.
If both positions can be held through settlement under the applicable market rules, the combined payout may be $1, creating a potential $0.03 gross profit per pair.
The bot searches for these pricing gaps, enters when the opportunity meets its conditions, and repeats the process while the advantage remains.
Of course, fees, execution delays, liquidity, settlement rules, and changing prices can reduce profits or create losses.
⚡ Some of His Biggest Reported Trades
• $5,475 → $10,651
Profit: +$5,175 | Return: +94.52%
• $2,109 → $5,082
Profit: +$2,972 | Return: +140.9%
• $1,316 → $3,916
Profit: +$2,599 | Return: +197.44%
These figures show why automated strategies attract so much attention: a system can monitor markets and evaluate opportunities far faster than a person trading manually.
🤖 Where Does Claude Come In?
Claude can help developers write trading code, analyze market data, build automated workflows, and test strategy ideas.
Combined with a laptop, market data, and the right infrastructure, it can help turn a trading concept into a working system.
But building a bot is only one part of the challenge. Testing the strategy, managing risk, handling failed orders, and monitoring performance are equally important.
The real lesson isn’t simply about making money with AI.
It’s about using AI to build systems that identify opportunities, execute rules consistently, and measure results with data.
🎁 The creator says the strategy is available for free for 24 hours.
To request access:
1. Comment with your thoughts.
2. Like and repost the original post.
3. Follow @Fran_alex897 .
⚠️ Important: These are reported results, not independently verified guarantees. Arbitrage is not risk-free, and past performance does not guarantee future profits.
AI can help build the tools. The strategy, execution, and risk management still matter.
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"Top 10 AI Tools for Researchers in 2026: Elevate Your Academic Workflow!"
Unlock potential with tools like:
Complete research ecosystems
Code assistance
Smart notebooks
Literature review automation
Find the full list & links in the image. Which is your must-have?
WHOEVER LEAKED THIS CLAUDE CODE SETUP DESERVES A RAISE
I thought the best way to use Claude Code was to just throw Opus at everything.
Apparently not.
Anthropic’s setup is much more interesting:
→ Sonnet 5.5 runs the main session and actually builds the thing
→ Haiku 5.5 swarms the repo for file discovery, AST scans, grep, and docs
→ Opus 5.5 stays in the background as the architect
→ Opus gets called in before big plans, after repeated test failures, and before shipping
→ JEV handles the boring mechanical routing in ~16ms so frontier models only wake up when real reasoning is needed
so you get:
Opus reviews. Sonnet builds. Haiku swarms. JEV routes.
the interesting part isn’t using multiple models.
it’s giving each model a different job.
Instead of burning Opus context on finding files and running routine commands, you save it for the moments where architectural judgment actually matters.
Plan on high.Delegate on medium. Keep Opus on call.
❤️ 𝐋𝐈𝐊𝐄 ❤️
🔁 𝐍𝐄𝐄𝐃 𝐑𝐓 🔁
💬 𝐂𝐎𝐌𝐌𝐄𝐍𝐓 💬
🔖 𝐃𝐎 𝐁𝐎𝐎𝐊𝐌𝐀𝐑𝐊 🔖
👤 𝐅𝐎𝐋𝐋𝐎𝐖 𝐌𝐄 👤 @fran_alex897
🌍 خوش آمدید
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