Скачать книгу - Insider trading z perspektywy regulacji europejskich, polskich i szwajcarskich

Полный вариант заголовка: «Panowanie Kazimierza Jana Alberta i Alexandra Jagiellonczykow krolow Polskich i W. ksiazat Litewskich : Tom 1 : Z wizerunkami, kartami geograficznemi i tablica genealogiczna / Wyjete z rekopismow Jana Albertrandego, biskupa zenopolitanskiego ; wydal Zegota Onacewicz».

Гость сегодняшнего выпуска – Ренат Гришин, директор по рекламе и продвижению медиагруппы i10.ru, медиагруппы, которая объединяет как свои собственные издания (appleinsider, androidinsider, Hi-news.ru), так и сторонние (lifehacker.ru, PlanetaIphone.ru, Макрадар, Keddr и другие). Попасть с обзором своего приложения на страницы этих изданий – счастье для мобильного предпринимателя – это установки, лояльность целевой аудитории, и отличный PR. Сегодня я хочу поговорить с Ренатом о том, что дает контентный маркетинг мобильному приложению, и как его правильно делать.

A comprehensive resource for understanding how to minimize risk and increase profits In this accessible resource, Wall Street trader and quantitative analyst Davis W. Edwards offers a definitive guide for nonprofessionals which describes the techniques and strategies seasoned traders use when making decisions. Risk Management in Trading includes an introduction to hedge fund and proprietary trading desks and offers an in-depth exploration on the topic of risk avoidance and acceptance. Throughout the book Edwards explores the finer points of financial risk management, shows how to decipher the jargon of professional risk-managers, and reveals how non-quantitative managers avoid risk management pitfalls. Avoiding risk is a strategic decision and the author shows how to adopt a consistent framework for risk that compares one type of risk to another. Edwards also stresses the fact that any trading decision that isn't based on the goal of maximizing profits is a decision that should be strongly scrutinized. He also explains that being familiar with all the details of a transaction is vital for making the right investment decision. Offers a comprehensive resource for understanding financial risk management Includes an overview of the techniques and tools professionals use to control risk Shows how to transfer risk to maximize results Written by Davis W. Edwards, a senior manager in Deloitte's Energy Derivatives Pricing Center Risk Management in Trading gives investors a hands-on guide to the strategies and techniques professionals rely on to minimize risk and maximize profits.

Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns. With both explanation and demonstration, Davey guides you step-by-step through the entire process of generating and validating an idea, setting entry and exit points, testing systems, and implementing them in live trading. You'll find concrete rules for increasing or decreasing allocation to a system, and rules for when to abandon one. The companion website includes Davey's own Monte Carlo simulator and other tools that will enable you to automate and test your own trading ideas. A purely discretionary approach to trading generally breaks down over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading system—enough that algorithmic trades now account for the bulk of stock trading volume. Building Algorithmic Trading Systems teaches you how to develop your own systems with an eye toward market fluctuations and the impermanence of even the most effective algorithm. Learn the systems that generated triple-digit returns in the World Cup Trading Championship Develop an algorithmic approach for any trading idea using off-the-shelf software or popular platforms Test your new system using historical and current market data Mine market data for statistical tendencies that may form the basis of a new system Market patterns change, and so do system results. Past performance isn't a guarantee of future success, so the key is to continually develop new systems and adjust established systems in response to evolving statistical tendencies. For individual traders looking for the next leap forward, Building Algorithmic Trading Systems provides expert guidance and practical advice.