Найти книгу: "The Crypto Trader"

The real-life trades and strategies of a successful cryptocurrency trader Glen Goodman's goal was to retire young and wealthy, escaping the daily grind. He taught himself how to trade everything from shares to Bitcoin and made enough money to realise his dream and quit his day job while still in his 30s. In The Crypto Trader , Glen will show you exactly how he made huge profits trading Bitcoin, Ethereum, Ripple and more, so that you can do it too – without risking your shirt. Glen publicly called the top of the market in December 2017 and took his profits before the crash. But there are still tons of trading opportunities out there and Glen continues to trade crypto successfully. Inside you'll see his multi-hundred-percent gains on a raft of cryptocurrencies and learn how he builds his profits and holds onto them. Glen reveals all his trading strategies, the proven methods and rules that make him one of the most followed traders in the world on social media. (He is also frequently interviewed by the BBC, Forbes and LBC, and is a contributing expert on cryptocurrency at the London School of Economics.) It took Glen years of study and trial and error to become a consistent money maker. He learnt his trading lessons the hard way – so you don't have to. With The Crypto Trader by your side, you'll learn how to grab opportunities, make money – and keep it.

Создание пользовательских индикаторов и советников для торговой платформы MetaTrader 5 с использованием языка программирования MQL5.

В настоящей книге авторы в понятной, но слегка ироничной манере изложили основы работы с программой MetaTrader, которая предназначена для управления сделками на международном рынке Forex. Авторы пособия – топ-менеджеры, имеющие за плечами опыт управления ведущим форекс-брендом Альпари – не понаслышке знакомы с торговым терминалом MetaTrader, знают и понимают нужды всех инвесторов: новичков-«кофейников» и более продвинутых спекулянтов. Книга нацелена на широкую аудиторию. Представленная информация будет полезна как студентам, изучающим финансы и смежные дисциплины, так и частным инвесторам и трейдерам, самостоятельно выходящим на мировые валютные рынки.

Alongside Laszlo Birinyi's stories from his more than forty years of trading experience, the book provides guidance on critical trading and investment issues, including: What the market will likely do if Spyders are up one percent in pre-trading Whether to buy or sell when a stock reports better that expected earnings and trade up to $5 to $50 The details behind group rotation and market cycles The seasonal factors in investing Indicators, explained: which are indicative and which are descriptive The importance of sentiment and how to track it The book will include chapters and details on technical analysis, the failure of technical analysis efforts, the business of wall street, trading indicators, anecdotal data, and price gaps. The Website associated with the book will also feature data sourcing and video.

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.