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The Future of Finance with ChatGPT and Power BI
The Future of Finance with ChatGPT and Power BI

The Future of Finance with ChatGPT and Power BI: Transform your trading, investing, and financial reporting with ChatGPT and Power BI

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Profile Icon Bryant Profile Icon Mukherjee
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NZ$36.99 NZ$52.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (30 Ratings)
eBook Dec 2023 406 pages 1st Edition
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Profile Icon Bryant Profile Icon Mukherjee
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NZ$36.99 NZ$52.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (30 Ratings)
eBook Dec 2023 406 pages 1st Edition
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NZ$36.99 NZ$52.99
Paperback
NZ$48.99 NZ$65.99
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The Future of Finance with ChatGPT and Power BI

Financial Mastery with ChatGPT: From Basics to AI Insights

Everyone is looking for a competitive edge in finance, which demands a deep understanding of financial concepts and the ability to harness cutting-edge tools. This book’s journey begins by establishing a strong foundation in investing, trading, and financial analysis while introducing the groundbreaking potential of artificial intelligence (AI), particularly ChatGPT, to revolutionize the way we approach financial decision-making.

The traditional methods of financial analysis have long been the cornerstone of investment and trading strategies. However, with the advent of AI and large language models (LLMs) such as ChatGPT, we now have the opportunity to harness the power of technology to enhance these traditional techniques, providing deeper insights and greater precision in our assessments.

In this first chapter, we will lay the groundwork for our exploration of finance by covering key financial concepts, investment...

Technical requirements

Here are the hardware requirements for this chapter:

  • A computer with at least 4 GB of RAM (8 GB or more is recommended)
  • A stable internet connection to access financial data, news sources, and APIs
  • A processor with a minimum of two cores (four cores or more is recommended for efficient computations)

Here are the software requirements for this chapter:

  • Python (version 3.11.3 or newer) installed on your computer
  • Python libraries such as Requests, Beautiful Soup, and pandas for data analysis, manipulation, and visualization

Here are the APIs and data sources for this chapter:

  • An OpenAI API key to access GPT-based models for natural language processing and AI-driven insights
  • Financial data APIs, such as Quandl, Alpha Vantage, Intrinio, and Yahoo Finance, to fetch historical stock prices, financial statements, and other relevant data

These technical requirements should provide a solid foundation to perform...

An introduction to key financial concepts and investment principles

Welcome to the beginning of your journey into the future of finance, where the power of AI and ChatGPT is at your fingertips. Let’s get started!

The learning objectives for this section are as follows:

  • Mastering the essential building blocks of finance, such as risk and return, asset allocation, diversification, and the time value of money to confidently evaluate investments and make informed decisions
  • Discovering the various investment types, including stocks, bonds, cash, real estate, and commodities, to diversify your portfolio and optimize returns
  • Exploring a range of investment strategies, from passive and active investing to value and growth investing, to align with your financial goals, risk tolerance, and investment horizon
  • Leveraging your newfound understanding of key financial concepts and principles to build a strong foundation for a successful investment journey and financial...

Introducing financial statements

The learning objectives for this section are as follows:

  • Mastering the essentials of financial statements: Acquire a strong grasp of the three main financial statements – balance sheet, income statement, and cash flow statement – and their vital function in assessing a company’s financial well-being and performance
  • Unleashing the potential of balance sheets: Discover how to examine a company’s assets, liabilities, and shareholders’ equity to evaluate its financial standing at a particular moment in time
  • Diving deep into income statements: Discover how to evaluate a company’s revenues, expenses, and net income to understand its profitability over a specific period
  • Unraveling the mysteries of cash flow statements: Develop the skills to analyze cash inflows and outflows from operating, investing, and financing activities to gain insights into a company’s liquidity and financial flexibility...

Understanding financial ratios and metrics

Financial ratios and metrics are used to analyze and interpret financial statements, providing insights into a company’s performance, liquidity, solvency, and efficiency. Some key financial ratios and metrics include the following:

  • Liquidity ratios: These calculations evaluate a company’s capacity to fulfill its short-term financial commitments. Widely used liquidity ratios consist of the current ratio (current assets/current liabilities) and the quick ratio (current assets – inventory/current liabilities).
  • Profitability ratios: These metrics evaluate a business’s capacity to earn profits. Some examples are the gross profit margin (gross profit/revenue), operating margin (operating income/revenue), and net profit margin (net income/revenue).
  • Solvency ratios: These metrics analyze a firm’s capacity to handle long-term commitments and maintain financial stability. Key solvency metrics include...

The fundamentals of technical analysis

Technical analysis is an investment analysis method that focuses on historical price and volume data to predict future price movements. Technical analysts, or chartists, believe that price patterns and trends can provide valuable insights into a stock’s future performance. Key components of technical analysis include the following:

  • Price charts: Visual representations of historical price data, such as line charts, bar charts, and candlestick charts, which help identify trends and patterns.
  • Trend analysis: Evaluating the direction and strength of price movements, including uptrends, downtrends, and sideways trends.
  • Technical indicators: Mathematical calculations based on price and volume data that provide insights into market sentiment, momentum, and volatility. Examples include moving averages, the relative strength index (RSI), and moving average convergence divergence (MACD).
  • Support and resistance levels: Key price...

Understanding the power of ChatGPT in financial analysis

As the world of finance grows increasingly complex, the need for cutting-edge tools that can help investors make informed decisions has never been more apparent. Enter ChatGPT, a powerful AI language model that can revolutionize the way we approach financial analysis.

ChatGPT has the ability to quickly and accurately process vast amounts of data, making it an invaluable resource for investors looking to gain insights into financial trends, risks, and opportunities. With its natural language processing capabilities, ChatGPT can analyze and summarize complex financial documents, identify key metrics and trends, and even generate forecasts and predictions.

Imagine having a personal AI-powered financial analyst at your fingertips, ready to help you dissect financial statements, identify investment opportunities, and uncover hidden risks. With ChatGPT, this becomes a reality. By integrating ChatGPT into your financial analysis...

Getting started with ChatGPT for finance

Embarking on your journey with ChatGPT for finance is an exciting step towards revolutionizing your approach to financial analysis. As you begin to explore the potential of AI-driven insights, it’s essential to understand how to effectively leverage ChatGPT to maximize its benefits. In this section, we’ll guide you through the initial steps of getting started with ChatGPT for finance:

Step 1 – access ChatGPT:

To begin using ChatGPT, you’ll need to access the platform through an API or a web-based interface. There are several options available, with some requiring a subscription or usage fees. Choose the one that best suits your needs and budget, and familiarize yourself with the user interface and available features.

Step 2 – understand ChatGPT’s capabilities:

ChatGPT is an incredibly versatile tool that can perform a wide range of tasks related to financial analysis. Take some time to explore...

ChatGPT for financial analysis – analyzing earnings reports for Palo Alto Networks

In this section, we will explore an interesting example of how ChatGPT can be used to analyze and summarize earnings reports, enabling you to identify key insights and trends quickly. With the vast amount of information available in earnings reports, it can be challenging to sift through data and identify the most critical elements. Let’s see how ChatGPT can help.

Here’s the scenario – Palo Alto Networks has just released its quarterly earnings report. You want to understand the company’s financial performance and identify any trends or potential issues that may impact the stock price or investment potential:

Step 1 – extract key data points:

To get started, provide ChatGPT with the relevant earnings report data, such as revenue, net income, EPS, and any other important metrics. Be sure to include both current and historical data for comparison purposes...

Combining ChatGPT with fundamental analysis

While ChatGPT provides valuable insights and helps streamline the financial analysis process, it’s essential to combine these AI-driven findings with your own research and fundamental analysis methods. By integrating ChatGPT’s insights with a comprehensive understanding of the company, industry, and market context, you can make more informed decisions about your investments. If you are a ChatGPT Plus user, you can Browse with Bing, and copy the following questions into ChatGPT to get answers based on the latest information available. If you are not a ChatGPT Plus user, your answers will reflect information up to January 2022, which is the cut-off date for training GPT-GPT-3.5 Turbo.

Here are some additional questions to consider:

  1. Dividend analysis:
    input_text = f"{input_text}Does Palo Alto Networks pay dividends? If so, how has the dividend payout evolved over time, and what is the current dividend yield?&quot...

Summary

As we conclude Chapter 1, let’s recap the key skills and concepts you have learned, which will serve as a foundation for the rest of the book. This chapter has provided you with an overview of essential financial concepts, investment principles, and various types of financial assets, along with an introduction to fundamental and technical analysis methods in finance. Additionally, you have been introduced to the transformative power of ChatGPT in financial analysis, learning how to harness its capabilities for a more comprehensive understanding of financial trends, risks, and opportunities.

Skills development: When we refer to “skills development,” we are emphasizing the various techniques and competencies that you will acquire throughout the book. By working through the chapter, you will learn the following:

  • Understanding basic financial concepts: Familiarize yourself with the fundamental principles of finance, including concepts such as the...
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Key benefits

  • Automate Power BI with ChatGPT for quick and competitive financial insights, giving you a strategic edge
  • Make better data-driven decisions with practical examples of financial analysis and reporting
  • Learn the step-by-step integration of ChatGPT, financial analysis, and Power BI for real-world success
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

In today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective. After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows. This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.

Who is this book for?

This book is for students, academics, data analysts, and AI enthusiasts eager to leverage ChatGPT for financial analysis and forecasting. It's also suitable for investors, traders, financial pros, business owners, and entrepreneurs interested in analyzing financial data using Power BI. To get started with this book, understanding the fundamentals of finance, investment, trading, and data analysis, along with proficiency in tools like Power BI and Microsoft Excel, is necessary. While prior knowledge of AI and ChatGPT is beneficial, it is not a prerequisite.

What you will learn

  • Dominate investing, trading, and reporting with ChatGPT's game-changing insights
  • Master Power BI for dynamic financial visuals, custom dashboards, and impactful charts
  • Apply AI and ChatGPT for advanced finance analysis and natural language processing (NLP) in news analysis
  • Tap into ChatGPT for powerful market sentiment analysis to seize investment opportunities
  • Unleash your financial analysis potential with data modeling, source connections, and Power BI integration
  • Understand the importance of data security and adopt best practices for using ChatGPT and Power BI

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 29, 2023
Length: 406 pages
Edition : 1st
Language : English
ISBN-13 : 9781805121091
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Publication date : Dec 29, 2023
Length: 406 pages
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Language : English
ISBN-13 : 9781805121091
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OpenAI
Category :
Concepts :

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Table of Contents

12 Chapters
Part 1: From Financial Fundamentals to Frontier Tech: Navigating the New Paradigms of Data, EVs, and AgTech Chevron down icon Chevron up icon
Chapter 1: Financial Mastery with ChatGPT: From Basics to AI Insights Chevron down icon Chevron up icon
Chapter 2: Creating Financial Narratives with Power BI and ChatGPT Chevron down icon Chevron up icon
Chapter 3: Tesla’s Financial Journey: AI Analysis and Bias Unveiled Chevron down icon Chevron up icon
Chapter 4: John Deere’s AgTech Revolution – AI Insights and Challenges Chevron down icon Chevron up icon
Part 2: Pioneers and Protectors: AI Transformations in Software, Finance, Biotech, and Cybersecurity Chevron down icon Chevron up icon
Chapter 5: Salesforce Reimagined: Navigating Software and LLMs Chevron down icon Chevron up icon
Chapter 6: SVB’s Downfall and Ethical AI: Smart AI Regulation Chevron down icon Chevron up icon
Chapter 7: Moderna and OpenAI – Biotech and AGI Breakthroughs Chevron down icon Chevron up icon
Chapter 8: CrowdStrike: Cybersecurity in the Era of Deepfakes Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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Sean Lastovica Mar 28, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book provides a lot of creative investment trades by looking at a number of companies in different industries. I really enjoyed the chapters from leading companies like Salesforce, SVB, and CrowdStrike.Salesforce's Transformation: A captivating journey through Salesforce's resurgence, highlighting the pivotal role of natural language processing and machine learning in financial strategy and execution. Key insights include leveraging sentiment analysis for options trading and employing the Rule of 40, alongside the interesting ActivistGPT example using LangChain are worth reading.SVB's Strategic Lessons: The SVB narrative provides profound insights into how social media impacted SVB's demise. The chapter also explored the X API to monitor public sentiment towards banks and how it could provide valuable trading signals. The commercial real estate trade example is timely using the CRE vacancy rate, OpenAI API and sentiment analysis to capture the volatility in a regional bank ETF.CrowdStrike's Cybersecurity Insight: With cybersecurity at finance's forefront, the CrowdStrike chapter underscores the integration of AI technologies like GPT-4 with cybersecurity efforts. The cybersecurity trade using CrowdStrike and cybersecurity insurers like Beazley and Hiscox present a new way to play this sector in the market. The HackerGPT example that monitors and analyzes cybersecurity regulatory changes and breaches was creative.A Vision Beyond Finance: The book's foresight on AI regulation and the ethical dimensions of technology in finance distinguishes it. Discussions on deepfakes, indirect prompt injection and AI literacy principles advocate for a balanced approach to technological adoption, crucial for future financial leaders."The Future of Finance with ChatGPT and Power BI" is an essential exploration of finance's new path guided by ChatGPT and Power BI's innovative applications.
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Joe Bryant Jan 06, 2024
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For extended stock research, ag research for tractor use, fertilizer use and best cost. AI will become a better search engine than Google for all areas of research.
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Leigh Williams Feb 15, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I was looking for a book to give me some practical guidance on how I could harness the power of Chat GPT and Power BI and this book delivered. As a beginner in both areas the step by step instructions were perfect for me. As someone curious about how this transformative technology is currently and will in the future impact our lives, the book also proved to be very interesting reading. Things are going to change and I don't want to be left behind. I look forward to the next edition.
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Eric M Collado Apr 17, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Imagine unlocking a treasure chest of insights where the worlds of finance, technology, and biotech converge. This is exactly what the chapter on Moderna feels like when you read it. The authors guide us through Moderna’s thrilling journey at the forefront of mRNA technology. It’s not just about science; it’s a vivid exploration of how Artificial Intelligence and Quantum Computing are reshaping the future of medicine, and explores the impact of AI on drug discovery in a way we have not even thought about yet.But there’s more – the chapter artfully navigates through the complex terrain of investment strategies, introducing us to the ingenious 'Moderna Momentum' trade. This isn’t just for the seasoned investor or the biotech enthusiast; it’s a revelation on how to trade or invest in this sector that you can apply to your own investment use case. The chapter also provides an interesting look at an AI agent – FoodandDrugAdminGPT that utilizes the HuggingGPT model (Microsoft Jarvis) and Gradio UI to understand the drug development and FDA approval process. We also get a glimpse of how OpenAI beat the tech giants to market by releasing LLMs that are much more advanced than the tech incumbents and caught them completely off guard. The chapter ends with a powerful discussion on AGI and how it can unfold in the finance world with AGI business intelligence, market predictions, financial advisory, risk management and financial services. It is an enjoyable read and worth buying the book.
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J. Tarzon Mar 08, 2024
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There are so many interesting angles to this book. 1) The future of AI and its applications to improved investing 2) The factors affecting future successes of organizations and how that applies to the valuation 3) The implication that technology will provide individual investors sophisticated platforms for their own purposes. A very interesting read!
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