Building an AI Trading Agent in 10 Minutes with No Code

Introduction to the Challenge

This is the caption for the image 1 Mike, the host, introduces himself and explains that he will attempt to build an AI trading agent in just 10 minutes without writing any code. He will use Zapier to connect everything, pulling real-time trading signals from TAAPI, using ChatGPT to make smart decisions, and then executing those trades with Alpaca.

The Plan: Connecting Everything with Zapier

The host explains that he has set up the Zap, connected all the APIs, and even built in a failsafe to avoid any catastrophic mistakes. He will walk the audience through each step, making it easy to follow along.

Setting up the Real-Time Data Flow

The host starts by setting up the real-time data flow, using TAAPI.io to provide technical analysis on the stock market and crypto currency. He chooses to use the Relative Strength Index (RSI) of Tesla stock as an example.

Buy or Sell? ChatGPT Decides!

This is the caption for the image 2 The host sets up ChatGPT to analyze the RSI and make a decision on whether to buy, sell, or do nothing. He writes a user message to ChatGPT, including the current RSI value, and asks for a decision.

Launching LIVE... Wish Me Luck!

The host launches the AI trading agent live, during market hours, and puts his money on the line. He explains that the tension is real and that he is on the edge of his seat the entire time.

The Aftermath...

The host explains that the AI trading agent has made a decision, and he will execute the trade using Alpaca. He shows the audience the workflow, which includes retrieving the RSI from TAAPI.io, sending it to ChatGPT, and then executing the trade.

Adding a Filter and Executing the Trade

The host adds a filter to the workflow, which chooses the fields from ChatGPT and checks if the reply exactly matches "buy" or "sell". If it does, the workflow will continue to execute the trade.

Testing the Workflow

This is the caption for the image 3 The host tests the workflow and shows the audience that it is working successfully. He explains that the AI trading agent has purchased some stocks in Tesla and that he is now an official Tesla stock holder.

The Results

The host shows the audience the results of the AI trading agent's decisions, which include purchasing and selling Tesla stocks. He explains that the agent has made a profit, but also that there is a possibility for things to go wrong.

Turning Off the App and Reviewing the Results

This is the caption for the image 4 The host turns off the app and reviews the results, showing the audience that the AI trading agent has made a profit of $409.23.

Giving Away a Free Year of Zapier Professional

The host announces that he will give away a free year of Zapier Professional to two lucky people. He asks the audience to comment below and explain how they would use the Zapier Professional account to create their own AI trading agent.

Conclusion

This is the caption for the image 5 The host concludes the video by thanking Zapier for sponsoring the video and encouraging the audience to try out the AI trading agent for themselves. He also reminds the audience that this video is not intended as financial advice and that trading has real risks.

Update from the Future

This is the caption for the image 6 The host comes back the next day and shows the audience that the AI trading agent has continued to work autonomously, trading on his behalf and making a profit of $2,446.44. He explains that the agent has made several trades, including buying and selling Tesla stocks, and that he is pleased with the results.