
AI, please help me invest in stocks.
Description
Book Introduction
“Even beginners can learn Python programming very easily.”
The author, an intelligence expert, teaches even beginners how to easily learn Python programming through this book, and how to create artificial intelligence using the Python programming skills learned, allowing the artificial intelligence to learn stock data and predict future stock prices.
Anyone interested in stock investing will have the opportunity to understand, develop, and backtest the various AI models covered in this book.
You can use it more conveniently by clicking 'Get code file' and 'Download method for connecting to Pycharm (version: 2023.3.2) virtual environment' on the homepage.
https://bjpublic.tistory.com/491
The author, an intelligence expert, teaches even beginners how to easily learn Python programming through this book, and how to create artificial intelligence using the Python programming skills learned, allowing the artificial intelligence to learn stock data and predict future stock prices.
Anyone interested in stock investing will have the opportunity to understand, develop, and backtest the various AI models covered in this book.
You can use it more conveniently by clicking 'Get code file' and 'Download method for connecting to Pycharm (version: 2023.3.2) virtual environment' on the homepage.
https://bjpublic.tistory.com/491
- You can preview some of the book's contents.
Preview
index
About the Author
introduction
preface
Recommendation
Chapter 1: Setting Up the Development Environment
Introduction to Python
Installing Python
Setting up an Anaconda virtual environment
Installing PyCharm
Creating a new PyCharm project
Chapter 2 Using the Kiwoom Securities API
Building an environment for using Kiwoom Securities API
Building an environment for using Kiwoom Securities API
Creating a Kiwoom Securities account
Creating a Kiwoom Securities Certificate
Installing the Kiwoom Securities API
Download KOA Studio
Sign up for Kiwoom Securities' mock investment
How to Use KOA Studio
Installing PyQt5
Chapter 3 Python Programming
Python programming
Understanding Variables
Create a variable
Naming variables
annotation
Create a comment
Numeric data type
Operators that utilize numeric types
String data type
Variables and strings
String indexing
String slicing
String operations
length of string
String-only functions
List data type
List indexing
Edit list
List slicing
Adding values to a list
Delete list values
Using the del keyword
Using the dedicated remove function
Check the maximum, minimum, and average values
Sort list values
Tuple data type
Modifying tuple values
Dictionary data type
Dictionary indexing
Modifying dictionary values
Deleting a dictionary value
Using dictionary-specific functions
Set data type
union, intersection, difference
Set-only functions
Bool data type
bool function
Conditional IF statement
if statement
else statement
elif statement
Comparison operators, logical operators, member operators
loop
for loop
while loop
function
Function without input values
Functions without return values
Global and local variables
Assign default values
class
succession
module
Learn about the basic modules
Chapter 4 Data Analysis and Processing
Data analysis and processing
series
Importing Pandas Modules
Create a series
Get series index, value
Loading files with Pandas
Difference between csv and tsv files
Learn about series statistical functions
data frame
Extracting specific columns from a data frame
Extracting specific rows from a data frame
How to merge multiple data frames
Merging data frames smartly
Handling missing values
Check for missing values
Find the number of missing values
Fill in missing values
Remove missing values
How to visualize data
Drawing graphs using the matplotlib module
Drawing graphs using the seaborn module
Drawing graphs using the pandas module
Chapter 5 Data and Artificial Intelligence
Data and Artificial Intelligence
Increasing paper consumption
Why You Should Learn Artificial Intelligence
IT and DT
Big data
Academic and technical fields related to artificial intelligence
The Relationship Between Artificial Intelligence, Machine Learning, and Deep Learning
Preparing for a real-world trading project
Chapter 6: Starting the Project
Log in to Kiwoom Securities API
Retrieve account information
Get stock code
Get stock name
Get stock price information
Bring deposit
Confirm order receipt and completion
Get order information
Get balance
Get real-time transaction information
Chapter 7: Predicting Future Stock Prices with Machine Learning
Predicting future stock prices with machine learning
K nearest neighbor
linear regression
Decision tree
Random Forest
Start a real-world trading project
Get KOSPI and KOSDAQ stock codes
Get stock name
Predicting future stock prices
Bring deposit
Apply for stocks recommended by AI
Check your balance
Accepting a sale
How to Convert Real Investments
In conclusion
Search
introduction
preface
Recommendation
Chapter 1: Setting Up the Development Environment
Introduction to Python
Installing Python
Setting up an Anaconda virtual environment
Installing PyCharm
Creating a new PyCharm project
Chapter 2 Using the Kiwoom Securities API
Building an environment for using Kiwoom Securities API
Building an environment for using Kiwoom Securities API
Creating a Kiwoom Securities account
Creating a Kiwoom Securities Certificate
Installing the Kiwoom Securities API
Download KOA Studio
Sign up for Kiwoom Securities' mock investment
How to Use KOA Studio
Installing PyQt5
Chapter 3 Python Programming
Python programming
Understanding Variables
Create a variable
Naming variables
annotation
Create a comment
Numeric data type
Operators that utilize numeric types
String data type
Variables and strings
String indexing
String slicing
String operations
length of string
String-only functions
List data type
List indexing
Edit list
List slicing
Adding values to a list
Delete list values
Using the del keyword
Using the dedicated remove function
Check the maximum, minimum, and average values
Sort list values
Tuple data type
Modifying tuple values
Dictionary data type
Dictionary indexing
Modifying dictionary values
Deleting a dictionary value
Using dictionary-specific functions
Set data type
union, intersection, difference
Set-only functions
Bool data type
bool function
Conditional IF statement
if statement
else statement
elif statement
Comparison operators, logical operators, member operators
loop
for loop
while loop
function
Function without input values
Functions without return values
Global and local variables
Assign default values
class
succession
module
Learn about the basic modules
Chapter 4 Data Analysis and Processing
Data analysis and processing
series
Importing Pandas Modules
Create a series
Get series index, value
Loading files with Pandas
Difference between csv and tsv files
Learn about series statistical functions
data frame
Extracting specific columns from a data frame
Extracting specific rows from a data frame
How to merge multiple data frames
Merging data frames smartly
Handling missing values
Check for missing values
Find the number of missing values
Fill in missing values
Remove missing values
How to visualize data
Drawing graphs using the matplotlib module
Drawing graphs using the seaborn module
Drawing graphs using the pandas module
Chapter 5 Data and Artificial Intelligence
Data and Artificial Intelligence
Increasing paper consumption
Why You Should Learn Artificial Intelligence
IT and DT
Big data
Academic and technical fields related to artificial intelligence
The Relationship Between Artificial Intelligence, Machine Learning, and Deep Learning
Preparing for a real-world trading project
Chapter 6: Starting the Project
Log in to Kiwoom Securities API
Retrieve account information
Get stock code
Get stock name
Get stock price information
Bring deposit
Confirm order receipt and completion
Get order information
Get balance
Get real-time transaction information
Chapter 7: Predicting Future Stock Prices with Machine Learning
Predicting future stock prices with machine learning
K nearest neighbor
linear regression
Decision tree
Random Forest
Start a real-world trading project
Get KOSPI and KOSDAQ stock codes
Get stock name
Predicting future stock prices
Bring deposit
Apply for stocks recommended by AI
Check your balance
Accepting a sale
How to Convert Real Investments
In conclusion
Search
Detailed image
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Publisher's Review
“Now, leave your stock investments to AI!”
People who trade stocks are always faced with the choice of when to buy and when to sell.
You may think you're reading charts based on data, but that's just your guess, and it's often wrong.
Even if you make a little profit, there are many cases where you lose everything in an instant.
Additionally, having to constantly look at the screen causes inconvenience in daily life.
So how can we solve this? Using artificial intelligence.
Artificial intelligence can analyze a large number of stocks in a short period of time.
AI, which analyzes stocks and trades them when conditions are met, reduces users' time and effort and helps generate consistent profits.
This book uses a lot of images so that even beginners can easily follow along.
If you read this book, understand the various AI models it covers, develop them yourself, and backtest them, you'll be actively utilizing this book.
I recommend this book.
- It's an automated stock trading program that anyone can use!
- The timing of buying and selling is determined by artificial intelligence, not me!
- You don't have to always look at the monitor; it's detailed so you can do it yourself!
People who trade stocks are always faced with the choice of when to buy and when to sell.
You may think you're reading charts based on data, but that's just your guess, and it's often wrong.
Even if you make a little profit, there are many cases where you lose everything in an instant.
Additionally, having to constantly look at the screen causes inconvenience in daily life.
So how can we solve this? Using artificial intelligence.
Artificial intelligence can analyze a large number of stocks in a short period of time.
AI, which analyzes stocks and trades them when conditions are met, reduces users' time and effort and helps generate consistent profits.
This book uses a lot of images so that even beginners can easily follow along.
If you read this book, understand the various AI models it covers, develop them yourself, and backtest them, you'll be actively utilizing this book.
I recommend this book.
- It's an automated stock trading program that anyone can use!
- The timing of buying and selling is determined by artificial intelligence, not me!
- You don't have to always look at the monitor; it's detailed so you can do it yourself!
GOODS SPECIFICS
- Date of issue: June 7, 2023
- Page count, weight, size: 364 pages | 173*230*30mm
- ISBN13: 9791165922146
- ISBN10: 1165922142
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