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Siraj Raval
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Last update : 26/09/2024

🤖💰 Let Your AI Do the Trading: Building a Crypto Bot with ChatGPT

Ever wished you had a personal crypto trader working 24/7? With the power of AI, that’s becoming a reality! This breakdown explores how to build your own automated crypto trading bot using ChatGPT, taking you from zero to deployed bot.

🧠 1. The AI Advantage: Why Bots Beat Humans

The crypto market never sleeps. 😴 Humans aren’t wired for that kind of constant analysis, but AI is. Here’s why bots have an edge:

  • 24/7 Action: They trade while you sleep, eat, or live your life.
  • Emotionless Decisions: No fear or greed influencing trades.
  • Lightning-Fast Analysis: They process market data in milliseconds.

💡 Pro Tip: Start with small investments as you gain confidence in your bot’s performance.

🔨 2. Building Your Trading Arsenal: Tools of the Trade

Think of these as the essential ingredients for your bot recipe:

  • Cursor: Your AI-powered code editor. Like having a coding buddy who writes most of the code for you!
  • Coinbase API: This connects your bot to your Coinbase account, allowing it to execute trades.
  • AWS: The cloud platform where your bot will live and run continuously.

🤯 Surprising Fact: You don’t need to be a coding wizard to build this! Cursor and ChatGPT handle most of the heavy lifting.

⚙️ 3. From Idea to Code: Crafting Your Trading Strategy

This is where you define your bot’s brainpower:

  1. Start Simple: Begin with a basic strategy, like rebalancing your portfolio based on historical price data.
  2. Code with Cursor: Use prompts to tell Cursor what you want your strategy to do. It will generate the code for you.
  3. Connect to Coinbase: Integrate your Coinbase API keys so your bot can access your account.
  4. Test and Refine: Run simulations and make adjustments to optimize your strategy.

💡 Pro Tip: Backtest your strategy using historical data to see how it would have performed in different market conditions.

🚀 4. Deployment Time: Setting Your Bot Free on AWS

Time to unleash your creation!

  1. Spin Up an Instance: Create a virtual server on AWS to host your bot.
  2. Schedule with Cron Jobs: Tell AWS to run your bot’s script at regular intervals (e.g., every minute).
  3. Monitor and Manage: Keep an eye on your bot’s performance and make adjustments as needed.

🤯 Surprising Fact: Deploying on AWS sounds complicated, but it’s like setting a recurring alarm for your bot!

📈 5. The Results Are In: Comparing ChatGPT 01 and GPT-4

In a head-to-head, how did the AI models stack up?

  • ChatGPT 01: Demonstrated resilience by fixing its code and adapting to market conditions, even though it experienced a small loss.
  • GPT-4: While initially promising, it encountered errors and was unable to execute trades successfully.

💡 Pro Tip: AI trading is still in its early stages. Don’t risk more than you can afford to lose.

🧰 Resource Toolbox:

This is just the beginning! With AI constantly evolving, the future of automated trading is full of exciting possibilities.

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