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Market Risk Analysis, Quantitative Methods in Finance
Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set.Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand.Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary.Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management.Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study.Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM.Empirical examples and case studies specific to this volume include: Principal component analysis of European equity indices;Calibration of Student t distribution by maximum likelihood;Orthogonal regression and estimation of equity factor models;Simulations of geometric Brownian motion, and of correlated Student t variables;Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula;Cubic spline fitting of yields curves and implied volatilities;Solution of Markowitz problem with no short sales and other constraints;Calculation of risk adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.
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Crypto and Forex Trading - Algorithm Trading Strategies
Do you want to learn how to make money trading the markets using a simple, yet highly effective algorithmic trading strategies?Includes Highly Profitable algorithmic Trading Strategies You Can Use For Crypto, Forex and Stocks!In this book you will learn how to make consistently profitable trades regardless of what's going on in the market. By following our step-by-step guide, you'll learn how to create your own algorithmic trading strategy and set up an automated bot to execute trades 24/7 while you sleep or do whatever else is important to you!This Guide IncludesHow to create and run your own automated trading strategy without coding or spending moneyHighly profitable scalping and day trading strategies for trading bitcoin and other cryptosSecret indicators on TradingView which can greatly increase your profits that no one knows aboutRisk management strategies the pros use to always stay profitable.
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A Complete Guide to the Futures Market : Technical Analysis, Trading Systems, Fundamental Analysis, Options, Spreads, and Trading Principles
The essential futures market reference guide A Complete Guide to the Futures Market is the comprehensive resource for futures traders and analysts.Spanning everything from technical analysis, trading systems, and fundamental analysis to options, spreads, and practical trading principles, A Complete Guide is required reading for any trader or investor who wants to successfully navigate the futures market. Clear, concise, and to the point, this fully revised and updated second edition provides a solid foundation in futures market basics, details key analysis and forecasting techniques, explores advanced trading concepts, and illustrates the practical application of these ideas with hundreds of market examples.A Complete Guide to the Futures Market: Details different trading and analytical approaches, including chart analysis, technical indicators and trading systems, regression analysis, and fundamental market models. Separates misleading market myths from reality. Gives step-by-step instruction for developing and testing original trading ideas and systems. Illustrates a wide range of option strategies, and explains the trading implications of each. Details a wealth of practical trading guidelines and market insights from a recognized trading authority. Trading futures without a firm grasp of this market’s realities and nuances is a recipe for losing money.A Complete Guide to the Futures Market offers serious traders and investors the tools to keep themselves on the right side of the ledger.
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A Programmer's Companion to Algorithm Analysis
Until now, no other book examined the gap between the theory of algorithms and the production of software programs.Focusing on practical issues, A Programmer's Companion to Algorithm Analysis carefully details the transition from the design and analysis of an algorithm to the resulting software program.Consisting of two main complementary parts, the book emphasizes the concrete aspects of translating an algorithm into software that should perform based on what the algorithm analysis indicated.In the first part, the author describes the idealized universe that algorithm designers inhabit while the second part outlines how this ideal can be adapted to the real world of programming.The book explores analysis techniques, including crossover points, the influence of the memory hierarchy, implications of programming language aspects, such as recursion, and problems arising from excessively high computational complexities of solution methods.It concludes with four appendices that discuss basic algorithms; memory hierarchy, virtual memory management, optimizing compilers, and garbage collection; NP-completeness and higher complexity classes; and undecidability in practical terms. Applying the theory of algorithms to the production of software, A Programmer's Companion to Algorithm Analysis fulfills the needs of software programmers and developers as well as students by showing that with the correct algorithm, you can achieve a functional software program.
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What is options trading?
Options trading is a type of investing strategy that involves buying and selling options contracts on the stock market. An options contract gives the holder the right, but not the obligation, to buy or sell a specific asset at a predetermined price within a set timeframe. Options trading allows investors to speculate on the direction of a stock's price movement without actually owning the stock itself. It can be a high-risk, high-reward strategy that requires a good understanding of the market and careful risk management.
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What is the name of the trading algorithm construction kit?
The name of the trading algorithm construction kit is "QuantConnect." This platform allows users to build, test, and deploy trading algorithms using a wide range of financial data and tools. QuantConnect provides a user-friendly interface and access to a large community of algorithm developers, making it a popular choice for those interested in algorithmic trading.
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How can binary search trees be expanded using an algorithm?
Binary search trees can be expanded using an algorithm by inserting new nodes in a way that maintains the binary search tree property. When inserting a new node, the algorithm compares the value of the new node with the value of the current node and decides whether to place it on the left or right subtree. This process continues recursively until the new node is successfully inserted. By following this algorithm, the binary search tree can be expanded while ensuring that it remains a valid binary search tree.
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Which algorithm is better for a navigation software, the brute-force algorithm or the Dijkstra algorithm?
The Dijkstra algorithm is better for a navigation software compared to the brute-force algorithm. The Dijkstra algorithm is specifically designed for finding the shortest path in a graph, making it well-suited for navigation purposes. It efficiently calculates the shortest path from a starting point to all other points in the graph, which is essential for navigation software. On the other hand, the brute-force algorithm is not optimized for finding the shortest path and can be inefficient for large graphs, making it less suitable for navigation software.
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The Ethical Algorithm : The Science of Socially Aware Algorithm Design
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life.In evolving from static computer programs hand-coded by engineers to the products of machine learning, these technologies have made our lives more efficient, more entertaining, and, sometimes, better informed.At the same time, complex algorithms are increasingly crushing the basic rights of individual citizens.Allegedly anonymized datasets and statistical models routinely leak our most sensitive personal information; applications for everything from loans to college reflect racial and gender bias.Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services and navigation apps.Understanding and improving the science behind the algorithms that run our lives is quickly becoming one of the most pressing issues of this century.Traditional solutions, such as laws, regulations and watchdog groups, have proven woefully inadequate, at best.Derived from the cutting-edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design.Weaving together the science behind algorithm design with stories of citizens, lawyers, scientists, and activists experiencing the trial-and-error of research in real-time, Michael Kearns and Aaron Roth present a strikingly original way forward, showing how we can begin to work together to protect people from the unintended impacts of algorithms--and, sometimes, protect the science that could save us from ourselves.
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Options Trading : 7 Golden Beginners Strategies to Start Trading Options Like a PRO! Perfect Guide to Learn Basics & Tactics for Investing in Stocks, Futures, Binary & Bonds. Create Passive Income Fas
There are a lot of different investment opportunities that you can choose from. Some will entail more risk than others, but they can also entail higher profit potentials as well. But one option that many investors may not consider when they first get started in this market is options trading. This guidebook is going to take some time to explore options trading and how even a beginner can get started making money if they choose the right strategy. Some of the topics that we will discuss about options trading in this guidebook include: What is options trading?,Working with the bull put spread strategy,Working with the bear call spread strategy,The importance of the butterfly and condor strategies. ,Working with both the long straddle and the long strangle. ,The bear put spread strategy,Working with the bull call spread strategy,The ratio spreads and how they work as a strategy. ,The best ways to reduce your risks when you are working with options trading. , Options trading is a great choice when it comes to investing your money. You will be able to earn unlimited profits without actually having to own the security outright. And this type of investment can work no matter what kind of market conditions are present with a stock. When you are ready to get started with options trading, make sure to check out this guidebook to help you out!
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Love Algorithm
In Love Algorithm, a tender touch of lyric love fuses with theharshness of profit-driven motivations to sharpen ourappreciation of the digital age.Loss of an authentic self is neverfar away but neither is hope for the discovery of a new kind offellowship.As the scenes shift from London to Paris to Shanghai,the poems intensify the global connections that make love aconstant riddle for all mankind.
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Data Structures and Algorithm Analysis in Java : International Edition
Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses.In the old ACM Curriculum Guidelines, this course was known as CS7.It is also suitable for a first-year graduate course in algorithm analysis As the speed and power of computers increases, so does the need for effective programming and algorithm analysis.By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java.Weiss clearly explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation.Figures and examples illustrating successive stages of algorithms contribute to Weiss' careful, rigorous and in-depth analysis of each type of algorithm.A logical organization of topics and full access to source code complement the text's coverage.
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How do I create a binary tree in Java using an algorithm?
To create a binary tree in Java using an algorithm, you can start by defining a Node class that represents each node in the tree. Each node should have references to its left and right children. Then, you can implement a method to insert nodes into the tree based on a specific criteria, such as inserting smaller values to the left and larger values to the right. Finally, you can construct the binary tree by inserting nodes one by one according to the defined criteria.
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What is an algorithm?
An algorithm is a step-by-step procedure or set of rules to be followed in problem-solving or decision-making. It is a finite sequence of well-defined, computer-implementable instructions typically used to solve a specific problem or perform a specific task. Algorithms are used in various fields such as computer science, mathematics, and engineering to automate processes and achieve desired outcomes efficiently. They are essential in programming and data analysis to manipulate and process data effectively.
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What is Instagram's algorithm?
Instagram's algorithm is a complex system that determines the order in which posts appear on a user's feed. It takes into account various factors such as the user's interests, interactions, and relationships with other users. The algorithm prioritizes content that it believes the user will find most engaging, based on their past behavior on the platform. This means that not all posts from accounts a user follows will show up in their feed, as the algorithm aims to show the most relevant and interesting content to each individual user.
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What is the Gauss algorithm?
The Gauss algorithm, also known as Gaussian elimination, is a method used to solve systems of linear equations. It involves transforming the system of equations into an equivalent upper triangular form by using elementary row operations, such as adding a multiple of one equation to another or swapping two equations. Once the system is in upper triangular form, the solutions can be easily obtained by back substitution. This algorithm is widely used in various fields such as engineering, physics, and computer science for solving systems of linear equations.
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