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Day Trading Complete Series : download from here
The concepts presented in this session apply to Forex and Futures trading.
* The Ins and Outs of Day Trading
* How to Make Consistent Profits with Day Trading
* The Three Secrets to Trading Success
* The Seven Costly Mistakes of Traders and How to Avoid Them.
Day Trading Series - Chapter II: Day Trading Basics (Part 2)
In this session we continue talking about the basics of day trading. For traders who already has some trading experience but are unhappy with the results of their trading.
The concepts presented in this session apply to Forex and Futures trading.
* The Three Steps to Day Trading Success
* How to Make a Living as a Day Trader
* How to Make $150,000 per Year
* How to Achieve Your Trading Goals
* How to Increase Your Winning Percentage
* The Seven Rules of Day Trading
Day Trading Series - Chapter III: Developing a Profitable Trading Strategy (Part 1)
In this session we will cover the six basic steps to develop a profitable trading strategy:
* Step 1: Start with an idea
* Step 2: Select a market
* Step 3: Select a timeframe
* Step 4: Define Entry and Exit Signals
* Step 5: Evaluate Your System
* Step 6: Improve Your System without curvefitting it.
Day Trading Series - Chapter IV: Developing a Profitable Trading Strategy (Part 2)
In this session we will develop a sample trading Strategy using the six steps we discussed in the last session: Markus will start with an idea and use the rules above to develop a trading strategy for the EUR/USD.
Day Trading Series - Chapter V: The 10 Power Principles of Successful Trading Strategies
Whether you developed your own trading strategy or purchased one: You have to ensure that the strategy really works. On paper everything might look great, but how can you be sure that the strategy works when you start trading it with real money?
Evaluating a trading strategy is easier than you think. In this session you will learn about the 10 Principles of Successful Trading Strategies that we developed and refined over the last couple of years.You should use these Power Principles to evaluate your trading strategy, whether you developed it on your own or think about purchasing one. By checking a strategy against these principles you can dramatically increase the chances of being successful.
Day Trading Series - Chapter VI: Tips and Tricks for Successful Day Trading
Expert: Markus Heitkoetter, CEO at Rockwell Trading Inc
Moderator: Maud Gilson, Conference ManagerQuantitative Strategies for Achieving Alpha (McGraw-Hill Finance & Investing) : the book
With this practical guide, you will gain an effective instrument that can be used to improve your investment process, whether you invest qualitatively, quantitatively, or seek to combine both. Each alpha-achieving strategy has been extensively back-tested using Standard & Poor's Compustat Point in Time database and has proven to deliver alpha over the long term. Quantitative Strategies for Achieving Alpha presents a wide variety of individual and combined investment strategies that consistently predict above-market returns. The result is a comprehensive investment mosaic that illustrates clearly those qualities and characteristics that make an investment attractive or unattractive.
This valuable work contains:
A wide variety of investment strategies built around the seven basics that drive future stock market returns: profitability, valuation, cash flow generation, growth, capital allocation, price momentum, and red flags (risk)
A building-block approach to quantitative analysis based on 42 single-factor and nearly 70 two- and three-factor backtests, which show the investor how to effectively combine individual factors into robust investment screens and models
More than 20 proven investment screens for generating winning investment ideas
Suggestions for using quantitative strategies to manage risk and for structuring your own quantitative portfolios
Advice on using quantitative principles to do qualitative investment research, including sample spreadsheets
This powerful, data intensive book will help you clearly see what empirically drives the market, while providing the tools to make more profitable investment decisions based on that knowledge--through both bull and bear markets.Mark R. Conway, Aaron N. Behle, "Professional Stock Trading: System Design and Automation" : the book
Learn the art and science of trading systems from professional speculators. The authors share powerful long and short trading strategies in TradeStation that span all time frames, including over one hundred annotated charts with commentary and rationale. The book contains a complete implementation of a professional trading platform, including dozens of TradeStation strategies, indicators, and functions -- with 64 pages of EasyLanguage code. Further, advanced trading techniques such as pair trading and float trading are explained. These systems are integrated into a fully automated framework for position sizing and trade management. Finally, follow the authors as they track their stock selections throughout the week in real time.
Professional Stock Trading is a practical blueprint for the entrepreneur who has the desire, ambition, and intensity to enter the trading business. In a scientific manner, a trader learns how to master the technical elements of the business and integrate them into a disciplined approach. The book ends with a full-scale implementation of a professional trading platform. Swing traders, day traders, and investors who aspire to a greater understanding of the stock market will welcome this book.Thomas H. Kee "Buy and Hold Is Dead: How to Make Money and Control Risk in Any Market" : the book
Buy and Hold Is Dead provides actionable strategies and disciplines, which can be used to earn positive results in any market environment. Money managers rarely outperform the stock market over time, and this has become a sticking point for many people as our uneven economic landscape continues to unfold.
This timely guide is designed around a step–by–step educational process in which traders and investors lean how they can protect their wealth and make money regardless of market direction. The goal of Buy and Hold Is Dead is twofold: to dispel old–school investment techniques and to show you how to maximize your returns without sacrificing time or lifestyle and without the use of a money manager.
• Identifies the duration of the current economic down cycle and warns of a Greater Depression
• Encourages readers to use proactive trading strategies that can protect their wealth and make them money in any market environment
• Discusses why investors cannot afford to rely on the selfish guidelines imposed by big brokers and money managers
Losing less is never a winning strategy, and this book skillfully addresses why it should not be considered a positive result despite relative market performance.Econometric Modelling with Time Series: Specification, Estimation and Testing (Themes in Modern Econometrics) by Vance Martin, Stan Hurn and David Harris : the book
Markov Chains: Models, Algorithms and Applications, 2nd edition by Wai-Ki Ching, Ximin Huang, Michael K. Ng and Tak Kuen Siu : the book
This book consists of eight chapters. Chapter 1 gives a brief introduction to the classical theory on both discrete and continuous time Markov chains. The relationship between Markov chains of finite states and matrix theory will also be highlighted. Some classical iterative methods for solving linear systems will be introduced for finding the stationary distribution of a Markov chain. The chapter then covers the basic theories and algorithms for hidden Markov models (HMMs) and Markov decision processes (MDPs).
Chapter 2 discusses the applications of continuous time Markov chains to model queueing systems and discrete time Markov chain for computing the PageRank, the ranking of websites on the Internet. Chapter 3 studies Markovian models for manufacturing and re-manufacturing systems and presents closed form solutions and fast numerical algorithms for solving the captured systems. In Chapter 4, the authors present a simple hidden Markov model (HMM) with fast numerical algorithms for estimating the model parameters. An application of the HMM for customer classification is also presented.
Chapter 5 discusses Markov decision processes for customer lifetime values. Customer Lifetime Values (CLV) is an important concept and quantity in marketing management. The authors present an approach based on Markov decision processes for the calculation of CLV using real data.
Chapter 6 considers higher-order Markov chain models, particularly a class of parsimonious higher-order Markov chain models. Efficient estimation methods for model parameters based on linear programming are presented. Contemporary research results on applications to demand predictions, inventory control and financial risk measurement are also presented. In Chapter 7, a class of parsimonious multivariate Markov models is introduced. Again, efficient estimation methods based on linear programming are presented. Applications to demand predictions, inventory control policy and modeling credit ratings data are discussed. Finally, Chapter 8 re-visits hidden Markov models, and the authors present a new class of hidden Markov models with efficient algorithms for estimating the model parameters. Applications to modeling interest rates, credit ratings and default data are discussed.
This book is aimed at senior undergraduate students, postgraduate students, professionals, practitioners, and researchers in applied mathematics, computational science, operational research, management science and finance, who are interested in the formulation and computation of queueing networks, Markov chain models and related topics. Readers are expected to have some basic knowledge of probability theory, Markov processes and matrix theory.Thank you very much seekers for all this good book recomendations
Building Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading by Kevin Davey : the book
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.Extreme Events: Robust Portfolio Construction in the Presence of Fat Tails by Malcolm Kemp : the book
In Extreme Events: Robust Portfolio Construction in the Presence of Fat Tails, leading expert Malcolm Kemp shows readers how to analyse market data to uncover fat-tailed behaviour, how to incorporate expert judgement in the handling of such information, and how to refine portfolio construction methodologies to make portfolios less vulnerable to extreme events or to benefit more from them.
This is the only text that combines a comprehensive treatment of modern risk budgeting and portfolio construction techniques with the specific refinements needed for them to handle extreme events. It explains in a logical sequence what constitutes fat-tailed behaviour and why it arises, how we can analyse such behaviour, at aggregate, sector or instrument level, and how we can then take advantage of this analysis.
Along the way, it provides a rigorous, comprehensive and clear development of traditional portfolio construction methodologies applicable if fat-tails are absent. It then explains how to refine these methodologies to accommodate real world behaviour.
Throughout, the book highlights the importance of expert opinion, showing that even the most data-centric portfolio construction approaches ultimately depend on practitioner assumptions about how the world might behave.
The book includes:
Key concepts and methods involved in analysing extreme events
A comprehensive treatment of mean-variance investing, Bayesian methods, market consistent approaches, risk budgeting, and their application to manager and instrument selection
A systematic development of the refinements needed to traditional portfolio construction methodologies to cater for fat-tailed behaviour
Latest developments in stress testing and back testing methodologies
A strong focus on the practical implementation challenges that can arise at each step in the process and on how to overcome these challengesMoney and Power: How Goldman Sachs Came To Rule The World By William D. Cohan : the book
For much of its storied 142-year history, Goldman Sachs has projected an image of being better than its competitors--smarter, more collegial, more ethical, and far more profitable. The firm--buttressed by the most aggressive and sophisticated p.r. machine in the financial industry--often boasts of "The Goldman Way," a business model predicated on hiring the most talented people, indoctrinating them in a corporate culture where partners stifle their egos for the greater good, and honoring the "14 Principles," the first of which is "Our clients' interests always come first."
But there is another way of viewing Goldman--a secretive money-making machine that has straddled the line between conflict-of-interest and legitimate deal-making for decades; a firm that has exerted undue influence over government since the early part of the 20th century; a company composed of "cyborgs" who are kept in line by an internal "reputational risk department" staffed by former CIA operatives and private investigators; a workplace rife with brutal power struggles; a Wall Street titan whose clever bet against the mortgage market in 2007--a bet not revealed to its clients--may have made the financial ruin of the Great Recession worse.
As William D. Cohan shows in his riveting chronicle of Goldman's rise to the summit of world capitalism, the firm has shown a remarkable ability to weather financial crises, congressional, federal and SEC investigations, and numerous lawsuits, all with its reputation and its enormous profits intact. By reading thousands of pages of government documents, court cases, SEC filings, Freedom of Information Act papers and other sources, and conducting over 100 interviews, including interviews with clients, competitors, regulators, current and former Goldman employees (including the six living men who have run Goldman), Cohan has constructed a vivid narrative that looks behind the veil of secrecy to reveal how Goldman has become so profitable, and so powerful.
Part of the answer is the firm's assiduous cultivation of people in power--dating back to 1913, when Henry Goldman advised the government on how the new Federal Reserve, designed to oversee Wall Street, should be constituted. Sidney Weinberg, who ran the firm for four decades, advised presidents from Roosevelt to Kennedy and was nicknamed "The Politician" for his behind-the-scenes friendships with government officials. Goldman executives ran fundraising efforts for Nixon, Reagan, Clinton and George W. Bush. The firm showered lucrative consulting or speaking fees on figures like Henry Kissinger and Lawrence Summers. Famously, and fatefully, two Goldman leaders-- Robert Rubin and Henry Paulson--became Secretaries of the Treasury, where their actions both before and during the financial crisis of 2008 became the stuff of controversy and conspiracy theories.
Another major strand in the firm's DNA is its eagerness to deal on both sides of a transaction, eliding questions of conflict of interest by the mere assertion of their innate honesty and nobility, a refrain repeated many times in its history, most notoriously by current Goldman CEO Lloyd Blankfein's jesting assertion that he was doing "God's work."
As Michiko Kakutani's New York Times review of HOUSE OF CARDS said, "Cohan writes with an insider's knowledge of the workings of Wall Street, a reporter's investigative instincts and a natural storyteller's narrative command." In MONEY & POWER, Cohan has marshaled all these gifts in a powerful and definitive account of an institution whose public claims of virtue look very much like ruthlessness when exposed to the light of day.