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WAY OF THE TRADER
Way of the Trader offers a fresh perspective on a mysterious art - trading the financial markets. Over 15 compelling chapters, Ian Murphy unpacks the world of a private trader, providing a wealth of practical tools for those wishing to make a living from the markets. In Part A he examines the job of a trader and their relationship with the market - and how to survive where so many others have failed. In Part B he reveals the habits of serious professionals. These include essential procedures such as the Eight Checks and the Nine Filters which should be employed by all traders before a single penny is placed in the market. Most important of all, Ian explains how the Five Limits of Risk allow ...
Dying to Live
When high school valedictorian Ian Murphy was writing his graduation address, a teacher told him that he could not mention Jesus in his speech. She even threatened to pull the plug on the microphone if he tried to do so. Murphy’s defiance, in the name of his constitutional rights, made national news, and his zeal to spread the Gospel, no matter the cost, became the defining passion of his life. Murphy's public battle for his freedom of speech is where this conversion story begins, but then it retraces the other important experiences of his youth. He describes his free-spirited Christian parents, his early doubts, the influence of faith-filled relatives and friends, and the spiritual encoun...
Approach
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Let's Have Coffee
Soccer manager Ian Hollway has become a cult figure in the British game largely because of his bizarre way of expressing himself. For example: "Our performance today would have been not the best looking bird but at least we got her in the taxi. She wasn't the best looking lady we ended up taking home but she was very pleasant and very nice, so thanks very much, let's have a coffee"
Writers Directory
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Banach Algebras and the General Theory of *-Algebras: Volume 2, *-Algebras
This second of two volumes gives a modern exposition of the theory of Banach algebras.
Machine Learning
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developm...
