{"product_id":"140074","title":"Could you please help me with AI stock analysis? ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYGWrzw8WyBCfZSH60rW6GgPhMoCl.png?v=1765078064\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e AI, please help me analyze stocks. \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/147852321\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e  \u003cdiv\u003e\n\u003cb\u003e“Stock analysis should precede stock investment!”\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e This book is a sequel to \"Artificial Intelligence, Please Help Me Invest in Stocks,\" which was selected as the Sejong Book of 2024, but it is a book that readers should read before its predecessor.\u003cbr\u003e Because it provides practical tools to effectively understand and analyze the complexities of volatile financial markets.\u003cbr\u003e\u003cbr\u003e To help readers with little programming experience follow the learning process, we cover in detail Python's basic grammar structure, core data types (numbers, strings, lists, tuples, dictionaries, sets), control statements (conditional statements, loops), function definitions, and how to use them.\u003cbr\u003e Additionally, to build an efficient development environment, we guide you through installing Anaconda Python and using Jupyter Notebook, and support hands-on learning.\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e About the Author\u003cbr\u003e Entering\u003cbr\u003e Recommendation\u003cbr\u003e Acknowledgements\u003cbr\u003e \u003cbr\u003e\u003cb\u003eChapter 1: Python and Financial Data\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.\u003cbr\u003e Python programming\u003cbr\u003e 1) Main features of Python\u003cbr\u003e 2) Advantages of Python\u003cbr\u003e 3) Areas of application of Python\u003cbr\u003e\u003cbr\u003e 2.\u003cbr\u003e Anaconda Python\u003cbr\u003e 1) Key features of Anaconda\u003cbr\u003e 2) Main tools included in Anaconda\u003cbr\u003e 3) Why use Anaconda?\u003cbr\u003e\u003cbr\u003e 3.\u003cbr\u003e Installing Python\u003cbr\u003e 1) Install Anaconda Python\u003cbr\u003e 2) Running Jupyter Notebook\u003cbr\u003e\u003cbr\u003e 4.\u003cbr\u003e What is a variable?\u003cbr\u003e 1) Using variables in Python\u003cbr\u003e 2) Variable naming rules\u003cbr\u003e\u003cbr\u003e 5.\u003cbr\u003e What is a comment?\u003cbr\u003e 1) Using comments in Python\u003cbr\u003e 2) Good examples of using comments\u003cbr\u003e\u003cbr\u003e 6.\u003cbr\u003e Numeric data type\u003cbr\u003e 1) Integer type\u003cbr\u003e 2) Floating point type\u003cbr\u003e 3) Operations on numeric data types\u003cbr\u003e\u003cbr\u003e 7.\u003cbr\u003e String data type\u003cbr\u003e 1) Defining and creating strings\u003cbr\u003e 2) String operations\u003cbr\u003e 3) String method\u003cbr\u003e 4) String formatting\u003cbr\u003e\u003cbr\u003e 8.\u003cbr\u003e List data type\u003cbr\u003e 1) Creating and accessing lists\u003cbr\u003e 2) List modification and manipulation\u003cbr\u003e 3) List operations\u003cbr\u003e 4) List slicing\u003cbr\u003e\u003cbr\u003e 9.\u003cbr\u003e Tuple data type\u003cbr\u003e 1) Creating and accessing tuples\u003cbr\u003e 2) Immutability of tuples\u003cbr\u003e 3) Tuple operations  \u003cbr\u003e4) Packing\u003cbr\u003e 5) Unpacking\u003cbr\u003e 6) Extended unpacking\u003cbr\u003e 7) Tuples and their usefulness\u003cbr\u003e\u003cbr\u003e 10.\u003cbr\u003e Dictionary data type\u003cbr\u003e 1) Creating and accessing a dictionary\u003cbr\u003e 2) Dictionary modification and manipulation\u003cbr\u003e 3) Dictionary method\u003cbr\u003e 4) Dictionary comprehension\u003cbr\u003e\u003cbr\u003e 11.\u003cbr\u003e Set data type\u003cbr\u003e 1) Creating and accessing sets\u003cbr\u003e 2) Set operations\u003cbr\u003e 3) Set method\u003cbr\u003e\u003cbr\u003e 12.\u003cbr\u003e function\u003cbr\u003e 1) Function definition and call\u003cbr\u003e 2) Arguments and parameters\u003cbr\u003e 3) Default parameters\u003cbr\u003e 4) Variable arguments\u003cbr\u003e 5) Return value\u003cbr\u003e 6) Lambda\u003cbr\u003e\u003cbr\u003e 13.\u003cbr\u003e Conditional if statement\u003cbr\u003e 1) Basic if statement\u003cbr\u003e 2) if-else statement\u003cbr\u003e 3) if-elif-else chain\u003cbr\u003e 4) Nested if statements\u003cbr\u003e 5) Simplifying conditional expressions\u003cbr\u003e\u003cbr\u003e 14.\u003cbr\u003e while loop\u003cbr\u003e 1) Basic while loop structure\u003cbr\u003e 2) Using break and continue\u003cbr\u003e 3) while-else structure\u003cbr\u003e 4) Infinite loop\u003cbr\u003e\u003cbr\u003e 15.\u003cbr\u003e for loop\u003cbr\u003e 1) Basic for loop structure\u003cbr\u003e 2) Use with various sequences\u003cbr\u003e 3) Loop control: break and continue\u003cbr\u003e 4) for-else structure\u003cbr\u003e 5) For loop using range\u003cbr\u003e 6) List comprehension\u003cbr\u003e\u003cbr\u003e 16.\u003cbr\u003e Exception handling\u003cbr\u003e 1) Exception handling structure\u003cbr\u003e 2) Simultaneous handling of multiple exceptions\u003cbr\u003e 3) Using exception objects\u003cbr\u003e\u003cbr\u003e 17.\u003cbr\u003e library\u003cbr\u003e 1) Library structure  \u003cbr\u003e2) How to use the library\u003cbr\u003e 3) Some popular Python libraries\u003cbr\u003e 4) Installing the library\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 2 Data Collection and Analysis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.\u003cbr\u003e Stock Analysis Project\u003cbr\u003e 1) Data processing capabilities\u003cbr\u003e 2) Accessibility of financial data\u003cbr\u003e 3) Automation and real-time analytics\u003cbr\u003e 4) Visualization tools\u003cbr\u003e 5) Technical analysis and statistical modeling\u003cbr\u003e\u003cbr\u003e 2.\u003cbr\u003e Finding Undervalued Stocks\u003cbr\u003e 1) Get domestic stock information\u003cbr\u003e\u003cbr\u003e 3.\u003cbr\u003e Find stocks with low price-to-earnings ratios\u003cbr\u003e 1) PER calculation formula\u003cbr\u003e 2) Interpretation of PER\u003cbr\u003e 3) The importance of PER\u003cbr\u003e\u003cbr\u003e 4.\u003cbr\u003e Find stocks with high return on equity\u003cbr\u003e 1) ROE calculation formula\u003cbr\u003e 2) Interpretation of ROE\u003cbr\u003e 3) The importance of ROE\u003cbr\u003e\u003cbr\u003e 5.\u003cbr\u003e Find high-dividend stocks\u003cbr\u003e 1) Key characteristics of dividend stocks\u003cbr\u003e 2) Advantages of dividend stocks\u003cbr\u003e 3) Disadvantages of dividend stocks\u003cbr\u003e 4) Examples of dividend stocks\u003cbr\u003e 5) Find stocks that have increased their dividends for four consecutive years.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 3 Stock Selection Strategies\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.\u003cbr\u003e Retrieving stock price data\u003cbr\u003e 1) Install FinanceDataReader\u003cbr\u003e 2) Main features and functions\u003cbr\u003e 3) Areas of application\u003cbr\u003e\u003cbr\u003e 2.\u003cbr\u003e moving average\u003cbr\u003e 1) Advantages of moving averages  \u003cbr\u003e2) Simple moving average\u003cbr\u003e 3) Exponential moving average\u003cbr\u003e 4) Finding recommended stocks using EMA\u003cbr\u003e\u003cbr\u003e 3.\u003cbr\u003e relative strength index\u003cbr\u003e 1) Calculation method\u003cbr\u003e 2) Interpreting RSI values\u003cbr\u003e 3) Investment signals\u003cbr\u003e 4) Finding recommended stocks using RSI\u003cbr\u003e\u003cbr\u003e 4.\u003cbr\u003e Bollinger Bands\u003cbr\u003e 1) Components\u003cbr\u003e 2) How it works\u003cbr\u003e 3) Investment signals\u003cbr\u003e 4) Finding recommended stocks using Bollinger Bands\u003cbr\u003e\u003cbr\u003e 5.\u003cbr\u003e portfolio theory\u003cbr\u003e 1) Standard deviation of returns\u003cbr\u003e\u003cbr\u003e 6.\u003cbr\u003e efficient investment line\u003cbr\u003e 1) Composition of an efficient investment line\u003cbr\u003e 2) Characteristics of efficient investment lines\u003cbr\u003e 3) Visual representation of the efficient investment line\u003cbr\u003e\u003cbr\u003e 7.\u003cbr\u003e Find the best investment ratio\u003cbr\u003e\u003cbr\u003e 8.\u003cbr\u003e Monte Carlo simulation\u003cbr\u003e 1) Key concepts of Monte Carlo simulation\u003cbr\u003e 2) Application in portfolio optimization\u003cbr\u003e\u003cbr\u003e 9.\u003cbr\u003e Sharpe ratio\u003cbr\u003e 1) Meaning of Sharpe ratio\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 4 Technical Analysis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.\u003cbr\u003e AI stock price prediction\u003cbr\u003e 1) Key components of AI stock price prediction\u003cbr\u003e 2) Case of AI stock price prediction\u003cbr\u003e 3) Main types of machine learning\u003cbr\u003e 4) Classification\/regression model\u003cbr\u003e 5) General steps of machine learning\u003cbr\u003e\u003cbr\u003e 2. \u003cbr\u003ePredicting future stock prices\u003cbr\u003e\u003cbr\u003e 3.\u003cbr\u003e K nearest neighbor model\u003cbr\u003e 1) How KNN works\u003cbr\u003e 2) Pros and Cons of the K Nearest Neighbor Model\u003cbr\u003e\u003cbr\u003e 4.\u003cbr\u003e Decision tree model\u003cbr\u003e 1) Components of a decision tree\u003cbr\u003e 2) How decision trees work\u003cbr\u003e 3) Advantages and disadvantages of decision trees\u003cbr\u003e\u003cbr\u003e 5.\u003cbr\u003e Random Forest Model\u003cbr\u003e 1) Components of a random forest\u003cbr\u003e 2) Pros and Cons of Random Forests\u003cbr\u003e\u003cbr\u003e 6. XGBoost model\u003cbr\u003e 1) Components of XGBoost\u003cbr\u003e 2) How XGBoost works\u003cbr\u003e 3) Pros and Cons of the XGBoost Model\u003cbr\u003e\u003cbr\u003e 7.\u003cbr\u003e Predicting future domestic stock prices\u003cbr\u003e\u003cbr\u003e 8.\u003cbr\u003e Find stocks that surge more than 5% in a day\u003cbr\u003e 1) Accuracy\u003cbr\u003e 2) Precision\u003cbr\u003e 3) Recall\u003cbr\u003e\u003cbr\u003e 9.\u003cbr\u003e Improving model performance\u003cbr\u003e\u003cbr\u003e 10.\u003cbr\u003e Identifying Uptrend Stocks Using Reinforcement Learning\u003cbr\u003e 1) Epsilon-Greedy Algorithm\u003cbr\u003e 2) The problem of exploration and utilization\u003cbr\u003e 3) Algorithm process\u003cbr\u003e\u003cbr\u003e In conclusion\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate5393\/MidCate001\/539206304.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003e“Stock analysis should precede stock investment!”\u003cbr\u003e\u003c\/b\u003e \u003cbr\u003eThis book is a sequel to \"Artificial Intelligence, Please Help Me Invest in Stocks,\" which was selected as the Sejong Book of 2024, but it is a book that readers should read before its predecessor.\u003cbr\u003e Because it provides practical tools to effectively understand and analyze the complexities of volatile financial markets.\u003cbr\u003e\u003cbr\u003e To help readers with little programming experience follow the learning process, we cover in detail Python's basic grammar structure, core data types (numbers, strings, lists, tuples, dictionaries, sets), control statements (conditional statements, loops), function definitions, and how to use them.\u003cbr\u003e Additionally, we provide hands-on learning by guiding you through the installation of Anaconda Python and how to use Jupyter Notebook to build an efficient development environment.\u003cbr\u003e \u003cbr\u003eTo strengthen practical financial data analysis skills, this book explains the process of collecting and processing real-world stock data using Python libraries. It presents methods for calculating and analyzing basic financial indicators like PER and ROE using Python code. It also provides concrete examples of implementing key technical analysis indicators like moving averages (MA), the Relative Strength Index (RSI), and Bollinger Bands in Python and developing investment strategies using them.\u003cbr\u003e\u003cbr\u003e Furthermore, we introduce the core concepts of portfolio theory and cover how to evaluate portfolio performance through calculating the standard deviation of returns and the Sharpe ratio.\u003cbr\u003e We've designed it so you can practice advanced analysis techniques, including using Monte Carlo simulation techniques to find optimal asset allocation ratios.\u003cbr\u003e\u003cbr\u003e \u003cbr\u003eFinally, we explain the principles of various machine learning models, such as K-nearest neighbors (KNN), decision trees, random forests, and XGBoost, and provide a method to implement them in Python to build a stock price prediction model and evaluate its performance, thereby laying the foundation for an AI-based investment strategy.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eFrom financial data analysis to investment strategies with Python\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Have you ever felt like stock investing was too difficult? Feeling lost amidst complex charts and news? Don't worry! This book will guide you through analyzing financial data and developing your own investment strategy using the powerful tool called Python.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eA Solid Python Foundation! (Chapter 1)\u003cbr\u003e\u003c\/b\u003e \u003cbr\u003eEven if you're new to programming, it's okay! We'll teach you the essentials, from basic Python syntax to variables, data types, functions, conditional statements, and loops, in an easy-to-follow and fun way.\u003cbr\u003e From installing Anaconda to using Jupyter Notebooks, setting up your coding environment is a breeze!\u003cbr\u003e\u003cbr\u003e \u003cb\u003eThe Power of Reading and Analyzing Data! (Chapter 2)\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e Learn how to import and analyze real-world stock data using Python. You'll develop your data analysis skills through practical examples, such as identifying undervalued stocks using financial indicators like price-to-earnings ratio (PER) and return on equity (ROE), and identifying high-dividend stocks that consistently pay dividends.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eDeveloping Your Own Investment Strategy! (Chapter 3)\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e Learn how to implement and utilize technical analysis indicators such as moving averages, RSI, and Bollinger Bands in Python. \u003cbr\u003eYou'll learn how to understand portfolio theory and the efficient frontier concept, and how to use Monte Carlo simulation and the Sharpe ratio to find the optimal investment ratio.\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePredicting the Future with AI! (Chapter 4)\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e Furthermore, we will learn how to predict stock prices using machine learning models (KNN, decision trees, random forests, XGBoost).\u003cbr\u003e We'll create a model that identifies stocks that surge by more than 5% per day, along with tips for improving performance! You'll also get a sneak peek at stock-finding strategies using reinforcement learning.\u003cbr\u003e\u003cbr\u003e With this book, you'll not only improve your Python coding skills, but also develop the ability to understand financial markets and analyze data, making you a more confident investor! Get started today and create your own smart investment assistant!\u003cbr\u003e\u003cbr\u003e \u003cb\u003eI recommend this to these people.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e - Anyone who wants to learn Python and use it to analyze financial data \u003cbr\u003e- Those who want to make rational investment decisions based on data\u003cbr\u003e - Those who want to directly calculate and utilize technical analysis indicators or financial indicators.\u003cbr\u003e - Those interested in stock price prediction using artificial intelligence\u003cbr\u003e - Anyone who dreams of building their own automated investment system \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e July 1, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 280 pages | 173*230*20mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791165923075\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1165923076 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893397782570,"sku":"140074","price":35.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/5712321ef2bc5829cf95a490dbe6ac15.jpg?v=1765400167","url":"https:\/\/librairie.coreenne.fr\/en\/products\/140074","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}