Book picks similar to
Quantitative Trading: How to Build Your Own Algorithmic Trading Business by Ernest P. Chan
trading
finance
quant
investing
My Maid Invests in the Stock Market...and Why You Should, Too!
Bo Sánchez - 2010
There were days when he couldn’t afford to pay for a bus ticket to preach in a prayer meeting.But in 1998, he transformed his life.Today, he owns 12 small businesses, all running in auto-pilot, because he spends 90 percent of his time still doing missionary work.He also learned how to invest in the stock market.And he has never forgotten the true purpose of wealth—to love others.In this inspiring yet highly practical book, you’ll read the fascinating story of how he helped three of his house helpers invest in the stock market and build their retirement fund. He’ll tell you how he taught them the 5-envelope system. He’ll explain how he painted a clear vision of their future in their minds.In this book, you’ll learn his “4 Rules to Making Millions Thru the Stock Market”.Bo believes that you can retire a multimillionaire by investing in the stock market. Because if his helpers can do it, you can, too.
Trading for Dummies
Michael Griffis - 2004
Since the bubble burst, many people are scared of investing in the stock market. Sure, stocks are risky--just like any other investment--but with the right knowledge and tactics, there's still money to be made. Trading For Dummies isn't about high-risk, fast-paced day trading. It's a simple, straightforward guide to the ins and outs of stock investing that offers a measured, level-headed approach to trading. You'll learn the basics of portfolio management, measuring stock value, market analysis, and much more--all with a focus on risk reduction and steady profits. Inside you'll learn how to:Understand market cycles Choose a great broker Master technical analysis Manage your risk exposure Build a balanced portfolio This friendly guide presents the kind of honest advice you won't find in the typical get-rich-quick books on trading. Full of practical tips and tactics--as well as hardnosed insider advice--this handy resource shows you how to build a strong, balanced, and profitable portfolio. Whether you want to save up for your retirement or pay for college, Trading For Dummies will show you how to:Prepare yourself with the right tools and information Develop your own custom trading strategy Analyze companies and stocks Understand all the exchanges and markets Understand broker fee structures Analyze market behavior Decipher income statements, balance sheets, and ratios Read charts and graphs Spot trends and profit from them This book has all the tools and honest advice novice stock traders need to get set-up quickly and safely. Basic strategies and stock valuation methodologies let you control your risk exposure and make wise decisions. Trading For Dummies includes everything new traders need with advice on every type of stock or derivative, every kind of trade, and every popular strategy.
The Total Money Makeover: A Proven Plan for Financial Fitness
Dave Ramsey - 1994
There's one sure way to whip your finances into shape, and that's with "The Total Money Makeover: Classic Edition".By now, you've heard all the nutty get-rich-quick schemes, the fiscal diet fads that leave you with a lot of kooky ideas but not a penny in your pocket. Hey, if you're tired of the lies and sick of the false promises, take a look at this--it's the simplest, most straightforward game plan for completely making over your money habits. And it's based on results, not pie-in-the-sky fantasies. With "The Total Money Makeover: Classic Edition," you'll be able to:Design a sure-fire plan for paying off all debt--meaning cars, houses, everything Recognize the 10 most dangerous money myths (these will kill you) Secure a big, fat nest egg for emergencies and retirement!
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie - 2001
With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.