Part 01 Creating a Minimum Viable Product

Chapter 01 Program Structure and AI
The era of generative AI
The Three Major Language Generation AIs: ChatGPT vs. Claude vs. Gemini
Implementing an AI program's investment decision process that learns and makes decisions like humans.
Technology stack and services for program implementation
A quick overview of the data-driven investment decision-making process, no warm-up or coding required.

Chapter 02 Environment Settings
Setting up the Upbit environment
Sign up for Upbit
Issue an Upbit API key
Setting up the OpenAI environment
Issue a test key & top up your credits
Setting up the Python & VS Code environment
Installing Python
Installing VS Code
Creating a VS Code Project
Installing Python Libraries
Register an API key

Chapter 03 Creating a Minimum Viable Product
The process of creating a minimum viable product
Function 1.
Import Upbit chart data
Function 2: Provide data to AI and receive judgment
Feature 3: Automatic trading based on AI judgment.
Supplementing the Minimum Viable Product
Consider fees
Consider the minimum order amount
Check transaction behavior
Run automatically

Part 02 Inserting Data

Chapter 04 Entering Exchange Data
A look at the development process
Human and AI judgment processes
3 Elements to Set in Your Automated Trading Program
Enter exchange data
Modify the draft code
Import data

Chapter 05 Adding auxiliary indicators
What are auxiliary indicators?
Loading auxiliary indicator data
Using Library TA
Integrate code

Chapter 06: Entering the Fear and Greed Index Data
What is the fear and greed index?
Reflecting fear and greed index data
Leveraging the Fear and Greed Index API

Chapter 07 Inserting the latest news data
Why you need the latest news data
Getting Started with SerpAPI
Get the latest news data with the Google News API

Chapter 08 Inserting Chart Images
AI that analyzes images
Automating Browsers with Selenium
Install Selenium & Run the Browser
Save screenshot
Set time with auto click
Setting up auxiliary indicators with auto click
Image Processing Using GPT Vision Features
Integrate code

Chapter 09 Inserting Video Data
How to train image data economically
Extract video subtitles
Import subtitle data

Part 03 System Enhancement

Chapter 10 Outputting Structured Data
How to get a 100% sure JSON response
Structuring JSON Responses

Chapter 11: Implementing the Investment Ratio Setting Function
Setting investment ratios to reduce risk
Setting the investment ratio

Chapter 12: Setting Your Investment Strategy & Preferences
The Role of Investment Strategy & Inclination Messages
Setting your strategy & investment style

Chapter 13 Recording Investment Data in a DB
Save records
Save records
Optimize your code and check the results

Chapter 14 Reflecting on Yourself and Improving
AI that reflects on itself
Add a reflection column

Chapter 15: Implementing a Monitoring System
Streamlit Library Basics
Installing Streamlit
Running Streamlit
Create a website dashboard

Part 05 Cloud Deployment

Chapter 16 Cloud Deployment
What is a cloud computer?
Sign up for AWS and set up two-step authentication.
Creating an EC2 Server
Code repository, GitHub
Save your code to GitHub
Importing GitHub code to a cloud computer
Setting up the server environment
Set up basic settings
Creating a virtual environment
Common issues with cloud deployments
Troubleshooting EC2 Crawling Blockage Issues
Troubleshooting Chrome Driver Issues
Redistribute modified code
Changing code stored on GitHub
Uploading new files to GitHub
Importing GitHub code to a cloud computer

Part 06: Operating an AI Agent Cloud

Chapter 17: Running a Cloud Server
Reset & Reset Code
Reset code
Reupload the code
Activate the operating code
Check the execution
Setting up autorun
Run in background
Run in background
Check the log file
Running Streamlit Web Monitoring
Open port
Running the dashboard in the background
Assign a static IP

“Sell this, stop it…” If you are worried?
From burning to watering, even cryptocurrency is created with AI!

● Step 1 | Anyone can become a developer with Cloud, even if they don't know a single line of code.
Leverage Claude to handle everything in your development process, from code generation and error debugging to navigating unfamiliar concepts and progress steps.
Step 2 | How to Use API to Complete a Function in Just a Few Clicks
Quickly implement investment and review systems using Upbit API and GPT API.
Step 3: Build a brain that thinks for itself by "datafication" the strategies of masters and the latest world news.
We collect chart data using Selenium, insert various data such as investment strategies of experts and the latest news through various APIs, and enable automated trading systems to make trading decisions.
● Step 4 | Tips for Building/Deploying/Operating a Server Starting from $0
We'll look at the process of building, deploying, and operating a server using AWS and EC2.
Step 5 | Create a web dashboard that allows you to check your investment status 24/7.
Streamlit creates a web dashboard that allows you to check the system's investment status and review details in real time, anywhere on the web or mobile.

I recommend this book to these people!

● Are you interested in investing in Bitcoin, but find the process of analyzing and judging charts and markets daunting?
● What if you don't have enough time to keep up with the daily market changes and latest news?
● Want to analyze various data sources such as financial data, news, social media, and APIs with AI?
● Are you interested in developing your own program or service using AI?
● Are you interested in Bitcoin but short on time and want to automate your investment strategy using AI?

Practical examples & sample code from this book

All example code and lecture materials covered in this book can be found at the following URL:
It helps you write and modify your code.
● Lecture materials: jocoding.net/gptbitcoin
● GitHub Link: github.com/youtube-jocoding/gpt-bitcoin-book

online lectures

The content of this book is also available as a paid online course titled "AI Bitcoin Investment Automation with GPT - Creating an AI Agent" on Udemy or YouTube.
● YouTube lecture: bit.ly/4dEegqS
● Udemy Course: udemy.com/course/gpt-bitcoin-ai-agent