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

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...