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The Future of Finance with ChatGPT and Power BI

You're reading from The Future of Finance with ChatGPT and Power BI Transform your trading, investing, and financial reporting with ChatGPT and Power BI

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781805123347

Length 406 pages

Edition 1st Edition

Tools

Power BI

Concepts

GPT/LLMs

Authors (2):

James Bryant

Aloke Mukherjee

View More author details

Table of Contents (13) Chapters

Preface

1. Part 1: From Financial Fundamentals to Frontier Tech: Navigating the New Paradigms of Data, EVs, and AgTech FREE CHAPTER

2. Chapter 1: Financial Mastery with ChatGPT: From Basics to AI Insights

3. Chapter 2: Creating Financial Narratives with Power BI and ChatGPT

4. Chapter 3: Tesla’s Financial Journey: AI Analysis and Bias Unveiled

5. Chapter 4: John Deere’s AgTech Revolution – AI Insights and Challenges

6. Part 2: Pioneers and Protectors: AI Transformations in Software, Finance, Biotech, and Cybersecurity

7. Chapter 5: Salesforce Reimagined: Navigating Software and LLMs

8. Chapter 6: SVB’s Downfall and Ethical AI: Smart AI Regulation

9. Chapter 7: Moderna and OpenAI – Biotech and AGI Breakthroughs

10. Chapter 8: CrowdStrike: Cybersecurity in the Era of Deepfakes

11. Index

Why subscribe?

12. Other Books You May Enjoy

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...

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Authors (2)

Bryant

Bryant

Shaun Bryant is an Autodesk Certified Instructor (ACI) at Platinum level with over 34 years of industry experience. 21 of these 34 years have been spent as a consultant, trainer, and instructor. Shaun is a world-class LinkedIn Learning [in]structor with over 60 courses in the LinkedIn Learning library and is also the owner and author of the reputable blog, Not Just CAD! Shaun has been an Autodesk University (AU) speaker since 2006 and is an AU Speaker Mentor. He was also the AutoCAD expert at the first AU London in the UK in 2017. Shaun is a member of the Autodesk Expert Elite program and an AutoCAD Influencer, and lives in East Yorkshire in the UK where he is the owner and director of the company CADFMconsultants Limited.

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Mukherjee

Mukherjee

Sudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering. He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well. Parts of the book can be read on Google Books. The book was also translated into simplified Chinese, available from Amazon.cn. This is Sudipta's second book with Packt Publishing. His first book, .NET 4.0 Generics , was also received very well. During the last few years, he has been hooked to the functional programming style. His book on functional programming, Thinking in LINQ, was released in 2014. He lives in Bangalore with his wife and son. Sudipta can be reached via e-mail at sudipto80@yahoo.com and via Twitter at @samthecoder.

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