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Trading by Numbers
Get the E*Trade experts' inside track on playing the markets For retail traders, knowing which possible strategies to employ when has always been a challenge. That is, until now. For the first time, popular E*Trade educators Rick Swope and Shawn Howell introduce their two-dimensional scoring system for determining how bullish/bearish a trade setup looks by reading charts. In Trading by Numbers, they present a scoring system that uses a trend score and a volatility score, removing the guesswork and giving you a solid guide to the markets. Based on the score, the authors provide a toolkit of opt.
Trading by Numbers
Get the E*Trade experts' inside track on playing the markets For retail traders, knowing which possible strategies to employ when has always been a challenge. That is, until now. For the first time, popular E*Trade educators Rick Swope and Shawn Howell introduce their two-dimensional scoring system for determining how bullish/bearish a trade setup looks by reading charts. In Trading by Numbers, they present a scoring system that uses a trend score and a volatility score, removing the guesswork and giving you a solid guide to the markets. Based on the score, the authors provide a toolkit of option strategies that are best to execute in each specific situation. Using common indicators and patt...
Final Supplement to the Environmental Impact Statement for an Amendment to the Pacific Northwest Regional Guide: Appendices
Siskiyou County Library has vol. 1 only.
Hollywood and the O.K. Corral
A lot can happen in 30 seconds. In the case of the shoot-out at the O.K. Corral, 30 seconds found three men dead, left two men wounded and ultimately captured the imagination of generations of Americans. Wyatt Earp, an against-all-odds hero who was literally the last man standing; Doc Holliday, Earp's unlikely crony; the tragic tale of the Earp family--all of these elements make the story of the O.K. Corral irresistible to a great many people. Hollywood filmmakers were quick to recognize the legend's attraction--and its potential. As early as 1939 (with the production of Frontier Marshal), moviemakers were recreating the gunfight at the O.K. Corral and its attendant happenings in Tombstone, ...
Ebony
EBONY is the flagship magazine of Johnson Publishing. Founded in 1945 by John H. Johnson, it still maintains the highest global circulation of any African American-focused magazine.
Practical Mobile Forensics
The book is an easy-to-follow guide with clear instructions on various mobile forensic techniques. The chapters and the topics within are structured for a smooth learning curve, which will swiftly empower you to master mobile forensics. If you are a budding forensic analyst, consultant, engineer, or a forensic professional wanting to expand your skillset, this is the book for you. The book will also be beneficial to those with an interest in mobile forensics or wanting to find data lost on mobile devices. It will be helpful to be familiar with forensics in general but no prior experience is required to follow this book.
Learning R
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ??ve learned, and concludes with exercises, most of which involve writing R code. Write a simple R program, and discover what the language can do Use data types such as vectors, arrays, lists, data frames, and strings Execute code conditionally or repeatedly with branches and loops Apply R add-on packages, and package your own work for others Learn how to clean data you import from a variety of sources Understand data through visualization and summary statistics Use statistical models to pass quantitative judgments about data and make predictions Learn what to do when things go wrong while writing data analysis code
