The Monthly Income Machine

The Monthly Income Machine is NOT just another book that simply defines option terms, strategies, and when you might use various speculative approaches.It reveals instead a specific, detailed list of exact entry and trade management rules for the conservative investor seeking reliable monthly income... up to 8-10% per MONTH Return on Investment (ROI).The technique it offers is suitable for regular accounts, retirement accounts and any investor wanting to consistently seek profit from the markets with minimum and controllable risk.When the reader finishes this readable step-by-step guide to risk-adverse income investing, he will see why the principle it is built on is the way many pro's invest.

In a straightforward approach, Hanania Benklifa provides readers the practical knowledge needed to trade options conservatively in Profiting with Iron Condor Options: Strategies from the Frontline for Trading in Up or Down Markets. The objectives are simple: make 2%-4% a month staying in the market as little as possible. Market experts use option condors to consistently earn monthly returns while trading conservatively and staying in the market as little as possible. Benklifa--who manages $10+ million in condor trades each month--shows you exactly how to run these trades and earn these returns, delivering all the details you need to master every nuance of this remarkable strategy. Benklifa shares option condors examples using market realities, not oversimplified abstractions. You’ll learn how to handle real-life market dynamics that can dramatically impact results, including rising and falling volatility, changing bid-ask spreads, and distorted call parity. You’ll learn how to profit in the sideways markets where condor options are most widely used--and also in extreme-trending markets that offer their own surprising opportunities. Traders who focus on a specific type of trade have a history of outperforming stock pickers and directional investors. This book will give you that deep and usable level of knowledge about one of today’s most well-proven strategies: option condors.

This book looks at Wall Street wonders Warren Buffet, Benjamin Graham, and other legends and shares how you can utilize their secrets to unimaginable success! It’s time to put your money to work the smart way and stop chasing quick payoffs that never turn out. That seductive stock tip you just overheard? That’s your ticket to flushing your savings down the toilet. The story you saw on a promising new product? Only those who invested before the story came out have any chance of a solid payout. If you want to succeed in the market, you need to learn how to invest based on value, selecting stocks that will continue to enrich you for years to come. By learning the keys to value investing, Money Machine will teach you how to: Judge a stock by the cash it generates Determine the stock’s intrinsic value Use key investment benchmarks such as price-earnings ratio and dividend-price ratio Recognize stock market bubbles and profit from panics Avoid psychological traps that can trip you up Investing in the market doesn’t have to be reckless speculation. Invest in value, not ventures, and find the financial success all those gamblers are still looking for!

Are you having trouble finding any kind of reasonable return for the risk in your investments? Do you stay up at night worrying about your money in the stock market? Does the financial system have you nervous? This informative and easy to read book will introduce you to an investment that will guarantee you returns on the downside, without limiting the upside. In fact, it will show you how to invest once and begin acquiring multiple income producing assets over time from that same initial investment (A Perpetual Passive Income Machine). As an accredited investor, you have more options than most. However, in our current ZIRP environment, getting a reasonable return requires a lot of risk. Investing in income producing real estate sounds great, but you don't have the time to master it. The Perpetual Passive Income Machine: A Proven 4-Step Process for Putting An Extra Paycheck In Your Pocket Every 30 Days will bust the myth that you can't get good returns for your risk, secured by a valuable real asset. Jim Small is an active real estate broker, Equity Marketing Specialist, holds a designation from the National Council of Exchangors and is an Associate Member of the Institute of Real Estate Management. Jenny, a user of the SANTÉ Realty Investments 10-30 Plan(tm), says, "I now have real professionals working for me and finding the best deals on real estate, taking all the risks, and I get my profit paid monthly." "The explanation of how Wall Street uses funny math when the calculate returns is worth the price of the book alone," says Fred B. In the book, Jim explains his brainchild, the SANTÉ Realty Investments 10-30 Plan(tm). This plan will: - Explain a simple 4-Step Process for getting a guaranteed return - Show you how to do it while someone else takes all the risk - Allow you to realize the returns of a real income-producing asset - Receive a guaranteed a minimum preferred investor return - Show you how to get a paycheck every 30 days - Learn the dirty little secret about stock market "returns" that Wall Street doesn't want you to know about, you will be shocked when you see it!! Follow the advice in this book and you can be off and receiving passive income paychecks in as little as 30 days, every 30 days thereafter. What is stopping your from getting out of the rat race and building your passive income portfolio the right way? Scroll to the top and click the "ADD TO CART" button. This book describes an investing program that is available to accredited investors.

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

An essential guide to the future of work in Australia. For many Australians, rapid progress in artificial intelligence, robotics and automation is a growing anxiety. What will it mean for jobs? What will it mean for their kids’ futures? More broadly, what will it mean for equality in this country? Jim Chalmers and Mike Quigley believe that bursts in technology need not result in bursts of inequality, that we can combine technological change with the fair go. But first we need to understand what’s happening to work, and what’s likely to happen. This is a timely, informative and authoritative book about the changing face of work, and how best to approach it – at both a personal and a political level. Jim Chalmers is a Labor MP and Shadow Minister for Finance. Before being elected to parliament, Jim was the chief of staff to the Deputy Prime Minister and Treasurer. He has a PhD in political science and international relations and is the author of Glory Daze (2013). Mike Quigley spent 36 years with the major global telecommunications company Alcatel, including three years as its president and COO. He was the first employee of the Australian NBN company and its CEO for four years. He is now adjunct professor in the School of Computing and Communications at UTS.

NEWLY REVISED AND UPDATED The bestselling business playbook for turbocharging any organization, updated for modern audiences with new and never-before-seen material Every single day 3,076 businesses shut their doors. But what if you could create the finest, most profitable and best-run version of your business without wasting precious dollars on a thousand different strategies? When The Ultimate Sales Machine first published in 2007, legendary sales expert Chet Holmes gave us the key to do just that. All you need is to focus on twelve key areas of improvement—and practice them over and over with pigheaded discipline. Now, a decade later, Chet’s daughter Amanda Holmes breathes new life into her father’s classic advice. With updated language to match our ever-changing times and over 50 new pages of content, The Ultimate Sales Machine will help any modern reader transform their organization into a high-performing, moneymaking force. With practical tools, real-life examples, and proven strategies, this book will show you how to: • Teach your team to work smarter, not harder • Get more bang from your marketing for less • Perfect every sales interaction by working on sales, not just in sales • Land your dream clients This revised edition expands on these proven concepts, with checklists to get faster ROIs, Core Story Frameworks to get your company to number one in your marketplace, and a bonus, never-before-revealed chapter from Chet, “How to Live a Rich and Full Life,” that will put you in the best possible mindset to own your career. For every CEO, manager, and business owner who wants to take their organization to the next level, The Ultimate Sales Machine will put you and your company on the path to success—and help you stay there!

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.