Listen free for 30 days
Listen with offer
-
Stock Trading Strategies Using Machine Learning
- A Comprehensive Guide on How to Use Machine Learning to Enhance Your Stock Investment
- Narrated by: William Bahl
- Length: 1 hr and 39 mins
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
£0.00 for first 30 days
Buy Now for £6.99
No valid payment method on file.
We are sorry. We are not allowed to sell this product with the selected payment method
Summary
Do you want to know how to use machine learning to determine value of current Stocks?
Do you want to know how to use machine learning to enhance your stock investment?
Do you want to know how to use machine learning to develop a trading strategy for Stocks?
Stock market investing can be fun, interesting, and exciting! Remember that knowledge is power. By listening to this book, you are taking the first step on your journey to becoming a successful investor. Nearly every single time on the markets, those who are educated on how the markets operate are the winners.
My aim is to allow you the chance to take the wheel in your own hands and direct your ship in this veritable ocean of financial information. You definitely will not learn all that you need to learn - it would be foolhardy of me to make this claim - but you can be assured that after going through this, you will definitely have the knowledge to make smarter decisions for yourself with regard to gaining wealth in the financial markets.
I would have to say that if you can get machine learning algorithm to work for you, it will be revolutionary to how you handle stocks. In fact, if machine-learning proves to be extremely successful, I think that the average person will begin to engage themselves more with the stock market. A huge barrier with the stock market is simply understanding how it works and it is not easy to find resources that are willing to divulge this information to you. I find this to be ironic because the more people that are in the stock market, the more money that can be made. If the stock market only had one person in it, it wouldn't make any money. However, because millions of people around the world are playing the stock market game, billions to trillions are traded annually.
This book will show you:
- Fundamentals of stocks investing
- Using machine learning to develop a trading strategy for stocks
- The keys to stock investing
- Machine learning to determine value of current stocks
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
What listeners say about Stock Trading Strategies Using Machine Learning
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
-
Overall
-
Performance
-
Story
- Gregory
- 25-09-20
I would like to thank him again for everything
I am a beginner to Forex trading. I have not actually started live trading yet. I want to have a solid trading plan before I begin trading. This book has a lot of good information.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
-
Overall
-
Performance
-
Story
- Wendy
- 18-09-20
Can machine learning beat the market?
Yes, AI can predict stock prices with better accuracy than the vast majority of humans. But, the further out you go in time the less accurate they are because they can't yet take into account all trading relevant information. You will never have access to the best AI algorithms.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
-
Overall
-
Performance
-
Story
- James Musser
- 17-09-20
Interesting and informative
Foreign exchange markets also have active algorithmic trading, measured at about 80% of orders in 2016 (up from about 25% of orders in 2006). Futures markets are considered fairly easy to integrate into algorithmic trading, with about 20% of options volume expected to be computer-generated by 2010. Excellent course by William Bahl. Course is well-structured and provides high quality content with good labs. I much enjoyed W. Bahl putting Quant strategies in a nice and clear structure while explaining complex topics in an intuitive and simple way. Time series and ARIMA modeling with the related lab is also a very good part. This is an amazing way to use data science in finance. This course is quite clear and easy to finish. Maybe Week 4 can be Week 1. It has the description of the tools used in the rest of the weeks. I would highly recommend this book everyone. Other courses recommended before doing this one! Basics of ML, Basics of the stock market, python and sql. I hope the latest Tensorflow 2.x version will be used in next course.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
18 people found this helpful
-
Overall
-
Performance
-
Story
- walter robbins
- 18-09-20
Volatility trading
This course is a good initial taste of the topics. These topics could be complex but I believe it handles them adequately for an introductory course.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
-
Overall
-
Performance
-
Story
- Jesse Cordeiro
- 14-09-20
Great knowledge only in £6.39
This is the best trading book ive ever read and ive read alot.He takes you from a beginner trader all the way on up.He maps out how to put together trade plans and how to manage the trade.Also goes thru the mental part and how to treat this like a real business.This is a must have book period.If you ever wanted to trade this is where you need to start
Buy a trading algorithm is possible and there are several companies that sell them. Now, the strategy is available on my website Forex Strategy | Algo Trading | Target Profit and it is called Target Profit Strategy. You can download the Strategy Tester Report to check the past performances.
Overwhelm is easily achieved when taking on learning how to trade on wall street. After studying, I found this audiobook easy to follow, easy to understand, easy to apply and I'm looking forward to say easy to grow my business with. THANK YOU and GOD BLESS
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
23 people found this helpful
-
Overall
-
Performance
-
Story
- Lindsay
- 24-09-20
I had profit while I was at work.
Good course that gives a lot of breadth as an introduction to machine learning in finance. Well put together
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
-
Overall
-
Performance
-
Story
- Valeria Massey
- 21-09-20
Great Strategy with Low Risk
There are two ways one can predict stock price. One is by evaluation of the stock's intrinsic value. Second is by trying to guess stock's future PE and EPS.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
-
Overall
-
Performance
-
Story
- Arthur French
- 14-09-20
You don't know what you don't know..............
And I didn't know I knew so little about trading. This book is a great guide to get you started.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
-
Overall
-
Performance
-
Story
- Michael
- 21-09-20
good length
The single biggest reason why most traders fail to make money when trading the stock the market: lack of knowledge. More importantly, they also implement strong money management rules, such as a stop-loss and position sizing to ensure they minimize their investment risk and maximize profits.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!
-
Overall
-
Performance
-
Story
- Micheal Pickering
- 20-09-20
Took the cake!
Great introduction for people who want to get started in ML, GCP and Fin Tech
Great introduction course that gives you an idea of various concepts of machine learning.
This is a very good course because it tuned my already forecasting knowledge to look more into machine learning.
Something went wrong. Please try again in a few minutes.
You voted on this review!
You reported this review!