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ClawdBot Goes Viral in Real-World Test: Invest $100, "Earn" 200% Overnight

区块律动BlockBeats
特邀专栏作者
2026-01-27 10:03
This article is about 1348 words, reading the full article takes about 2 minutes
By trading in Polymarket's 15-minute Bitcoin up/down market, ClawdBot earned 2.5 times its initial capital in just one night.
AI Summary
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  • Core Insight: Through a real-world test connecting ClawdBot to Polymarket for automated trading, this AI agent increased a $100 principal to $347 within 24 hours. It demonstrated the powerful potential of AI to independently execute strategies, manage risk, and generate profits in prediction markets, suggesting that automation capabilities may become a key competitive advantage in the future.
  • Key Elements:
    1. The author deposited $100, granted ClawdBot API key access, and set its goal to trade conservatively on Polymarket's 15-minute Bitcoin up/down market.
    2. ClawdBot generated a profit of $247 overnight, achieving a 247% return, significantly outperforming most human traders.
    3. Its strategy combines technical analysis (e.g., RSI, moving averages), market sentiment scanning, momentum pattern recognition, and the application of compounding effects.
    4. The AI placed high-probability bets during volatile Asian/European trading hours and maintained complete records for each trade, including reasoning and self-review for optimization.
    5. The experiment shows that AI can now independently complete the full trading cycle—from analysis and execution to risk management—blurring the line between a tool and an autonomous agent.

Original Title: I Set Up ClawdBot and Gave It $100 to Trade on Polymarket

Original Author: @xmayeth, Crypto Trader

Original Compilation: Richie, BlockBeats

Editor's Note: Recently, with the explosion in popularity of ClawdBot, the boundaries of AI as a tool are becoming blurred. When it is no longer just giving advice but can independently execute strategies, manage risks, continuously review, and actually make money for you, the division of labor between humans and machines must be rethought. Automation may no longer be just an efficiency tool but is becoming a new form of competitiveness.

This article comes from a hands-on test by crypto trader @xmayeth. He created a Polymarket account, deposited $100, and gave the API keys to ClawdBot. After one night, ClawdBot made $247 by trading the 15-minute Bitcoin up/down market. Below is the content of his test:

Late last night, while browsing X, I stumbled upon a tweet about ClawdBot that was rapidly trending on the timeline.

Someone had connected ClawdBot to the Hyperliquid platform and funded it. Now it can trade cryptocurrencies 24/7, scan Twitter sentiment, react to political tweets, and continuously optimize.

After reading it, I couldn't sleep at all. Around 2 AM, a thought suddenly struck me: "What if I try it with Polymarket?"

So I read many guides on setting up ClawdBot on X and managed to get it running locally on my computer in about 30 minutes.

Honestly, I couldn't believe it would be that simple. Then, I immediately created a Polymarket account, deposited $100, and gave my API keys to ClawdBot.

I then entered the following instructions:

· You have control of a $100 wallet on Polymarket.

· Your goal: Trade the 15-minute Bitcoin up/down market and maximize profits over the next 24 hours.

· The trading strategy should be conservative and cautious, with strict risk management, and do everything possible to protect the principal.

· Assume this is the last $100; treat trading as if your life depends on it.

After doing this, I closed my laptop and went to sleep. It was around 5 AM, and honestly, I didn't expect anything major to happen.

But when I opened Polymarket, I saw a balance of $347. This meant ClawdBot had made $247 overnight, trading only the 15-minute Bitcoin market.

I stared at the screen for an hour. I realized this machine had outperformed 99% of traders in just one night.

So I started analyzing everything it did that night:

· Pulled the last 50+ 15-minute Bitcoin price charts and identified momentum patterns.

· Scanned real-time X sentiment and news feeds.

· Used simple technical analysis (RSI, short-term moving averages derived from data).

· Placed a series of high-probability bets during the volatile Asian/European market trading hours.

· Applied the compounding effect: Used small profits to scale into larger position sizes.

Every trade had a complete log and rationale. ClawdBot even performed self-reflection, summarizing what worked. It was incredible.

To reiterate: ClawdBot made 2.5x its initial capital in one night.

In 2026, mastering automation will be a core competency. There are many articles on X now about setting up ClawdBot. Start learning and create your own ClawdBot now.

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