Tag Archives: 10000 to trade stocks

I Gave OpenClaw $10,000 to Trade Stocks

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Can AI actually trade better than a human? In this video, I tried OpenClaw for 1 month and THIS happened. We put artificial intelligence to the test in a real 30-day trading challenge between me and Samin.

To push the experiment to the limit, I gave OpenClaw $10,000 to make money and THIS happened. We compared my strategy against Samin’s AI to see which bot performed better in a tough market. We have the full results, the mean emails between bots, and the big reveal right here. Hope you enjoy as much as we did!

Win $100 Cash! Just leave a comment below telling us how many more days we should keep the bots running. We will randomly select a winner in one week and announce it in our community tabs!

Samin's Claude Trader Video: https://youtu.be/lH5wrfNwL3k?si=JybRqSJ01c7s5EtT

Timestamps:
00:12 $10,000 AI Trading Bet?
01:02 Win $100 Cash Prize!
03:59 Day 7: Big Loss?
06:21 Bots Sending Mean Emails?
08:22 Beating the Stock Market?
12:53 The Final Big Reveal!

I Gave My Terrible Trading Bot $10,000 to Trade Stocks

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Thanks to DataStax for helping with the Trading Bot.

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In this video, I build 3 stock trading bots with $10,000 of my own money to see if I can make a profit.

The first bot uses a mix of momentum trading and value investing on a set of "safe" stocks. It analyzes price and P/E ratio to determine when to buy and sell.

The second bot scans news articles for company mentions. If the news is good, it buys the stock. If bad news comes out about a stock it owns, it sells right away.

The third bot randomly selects a stock, finds related news articles, and uses AI to match them with Taylor Swift lyrics to gauge sentiment. If the lyrics are happy, it buys the stock. When negative lyrics come up, it sells.

I built the bots in Python, used historical data to backtest strategies, and ran them live for 3-4 days. Despite issues with delayed and partial orders through Interactive Brokers API, the bots made a small profit of $109. But after fees, I ended up losing $8 overall.

I learned that algorithmic trading involves complex math and mechanics like partial fills and sync issues. The real winners are the APIs charging for data. But I had fun developing the bots and dipping my toes into algorithmic finance and trading.

None of this would be possible without the support of my viewers on YouTube and other platforms. Thank you for allowing me to take risks like this $10k experiment. I appreciate you watching my coding videos focused on building real projects. Please check the description for a special Discord event and to see other coding projects I've made like a Reddit bot and news bot.

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TIMESTAMPS
00:00 – Introduction
00:30 – Before we Start
01:00 – The 3 Trading Bots
02:02 – The Tech I Will Build With (AD)
03:30 – The First Trading Bot Build
06:10 – The Second Trading Bot Build
08:44 – The Taylor Swift Trading Bot Build
09:14 – Delivering Data Back to the User
10:33 – Deployment…
11:29 – The Results of Bot 1
12:16 – The Results of Bot 2
13:45 – The Results of Bot 3
14:46 – Results of Everything (Win or Loss?)
15:23 What I Learned from Coding This
17:06 The API Pricing…..
17:32 Thank You…