Dynamic Trading PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Dynamic Trading PDF full book. Access full book title Dynamic Trading by Robert Miner. Download full books in PDF and EPUB format.
Author: Robert Miner
Publisher: Echo Point Books & Media, LLC
ISBN: 9781648372155
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Named the 1999 Trading Book of the Year, Robert Miner's Dynamic Trading is an extremely valuable reference book for any investor who wishes to trade profitably. It is a classic guide instructing how to trade using Elliott waves.
Author: Robert Miner
Publisher: Echo Point Books & Media, LLC
ISBN: 9781648372155
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Named the 1999 Trading Book of the Year, Robert Miner's Dynamic Trading is an extremely valuable reference book for any investor who wishes to trade profitably. It is a classic guide instructing how to trade using Elliott waves.
Author: Nassim Nicholas Taleb
Publisher: John Wiley & Sons
ISBN: 9780471152804
Category : Business & Economics
Languages : en
Pages : 536
Get Book Here
Book Description
Destined to become a market classic, Dynamic Hedging is the only practical reference in exotic options hedgingand arbitrage for professional traders and money managers Watch the professionals. From central banks to brokerages to multinationals, institutional investors are flocking to a new generation of exotic and complex options contracts and derivatives. But the promise of ever larger profits also creates the potential for catastrophic trading losses. Now more than ever, the key to trading derivatives lies in implementing preventive risk management techniques that plan for and avoid these appalling downturns. Unlike other books that offer risk management for corporate treasurers, Dynamic Hedging targets the real-world needs of professional traders and money managers. Written by a leading options trader and derivatives risk advisor to global banks and exchanges, this book provides a practical, real-world methodology for monitoring and managing all the risks associated with portfolio management. Nassim Nicholas Taleb is the founder of Empirica Capital LLC, a hedge fund operator, and a fellow at the Courant Institute of Mathematical Sciences of New York University. He has held a variety of senior derivative trading positions in New York and London and worked as an independent floor trader in Chicago. Dr. Taleb was inducted in February 2001 in the Derivatives Strategy Hall of Fame. He received an MBA from the Wharton School and a Ph.D. from University Paris-Dauphine.
Author: Robert C. Miner
Publisher: John Wiley & Sons
ISBN: 0470181664
Category : Business & Economics
Languages : en
Pages : 292
Get Book Here
Book Description
In High Probability Trading Strategies, author and well-known trading educator Robert Miner skillfully outlines every aspect of a practical trading plan–from entry to exit–that he has developed over the course of his distinguished twenty-plus-year career. The result is a complete approach to trading that will allow you to trade confidently in a variety of markets and time frames. Written with the serious trader in mind, this reliable resource details a proven approach to analyzing market behavior, identifying profitable trade setups, and executing and managing trades–from entry to exit.
Author: Philippe Cahen
Publisher: Wiley
ISBN: 9780471899471
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
Gets traders and investors up to speed on the hottest new approach to predicting the markets One of the most talked-about new forecasting tools in today's international markets, dynamic technical analysis (DTA) arms traders and investors with unprecedented insights into market volatility, price changes, and market trends. DTA is also a valuable money management tool and is much easier for money managers to master than traditional technical analysis techniques. The first practical introduction to this powerful new approach, Dynamic Technical Analysis provides readers with all the tools and know-how necessary to unlock the full power of DTA. * The only guide devoted exclusively to a powerful new forecasting technique * Uses numerous real-world trading examples to quickly acquaint readers with state-of-the art DTA principles and practices Phillippe Cahen (Paris, France) is Head of Technical Analysis for Credit Lyonnais Capital Markets in Paris.
Author: Mark Helweg
Publisher: John Wiley & Sons
ISBN: 047127481X
Category : Business & Economics
Languages : en
Pages : 240
Get Book Here
Book Description
Using the insights that stem from value charts and price action profiles, Dynamic Trading Indicators shows traders how to develop systems and whole trading programs that implement these exciting new tools. Through an in-depth exploration of how to effectively use these new technical indicators in a complete trading system, Dynamic Trading Indicators provides a framework that allows readers to obtain a view of what a stock will most likely do next. This innovation in chart design opens up new vistas for traders and unlocks the door to unlimited profits. New technology and the advent of around the clock trading have opened the floodgates to both foreign and domestic markets. Traders need the wisdom of industry veterans and the vision of innovators in today's volatile financial marketplace. The Wiley Trading series features books by traders who have survived the market's ever changing temperament and have prospered-some by reinventing systems, others by getting back to basics. Whether a novice trader, professional or somewhere in-between, these books will provide the advice and strategies needed to prosper today and well into the future. Mark W. Helweg has worked and traded on the floor of the Chicago Board of Trade and, earlier in his career, partnered with an international CTA with over $40 million under management to research new trading system technology. David C. Stendahl is cofounder of RINA Systems, a software provider for systematic traders. Stendahl is the author of Profit Strategies: Unlocking Trading Performance with Money Management.
Author: Euan Sinclair
Publisher: John Wiley & Sons
ISBN: 0470181990
Category : Business & Economics
Languages : en
Pages : 228
Get Book Here
Book Description
In Volatility Trading, Sinclair offers you a quantitative model for measuring volatility in order to gain an edge in your everyday option trading endeavors. With an accessible, straightforward approach. He guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. In addition, Sinclair explains the often-overlooked psychological aspects of trading, revealing both how behavioral psychology can create market conditions traders can take advantage of-and how it can lead them astray. Psychological biases, he asserts, are probably the drivers behind most sources of edge available to a volatility trader. Your goal, Sinclair explains, must be clearly defined and easily expressed-if you cannot explain it in one sentence, you probably aren't completely clear about what it is. The same applies to your statistical edge. If you do not know exactly what your edge is, you shouldn't trade. He shows how, in addition to the numerical evaluation of a potential trade, you should be able to identify and evaluate the reason why implied volatility is priced where it is, that is, why an edge exists. This means it is also necessary to be on top of recent news stories, sector trends, and behavioral psychology. Finally, Sinclair underscores why trades need to be sized correctly, which means that each trade is evaluated according to its projected return and risk in the overall context of your goals. As the author concludes, while we also need to pay attention to seemingly mundane things like having good execution software, a comfortable office, and getting enough sleep, it is knowledge that is the ultimate source of edge. So, all else being equal, the trader with the greater knowledge will be the more successful. This book, and its companion CD-ROM, will provide that knowledge. The CD-ROM includes spreadsheets designed to help you forecast volatility and evaluate trades together with simulation engines.
Author: Eugenius Kaszkurewicz
Publisher: SIAM
ISBN: 1611977312
Category : Mathematics
Languages : en
Pages : 208
Get Book Here
Book Description
This book introduces optimal control methods, formulated as optimization problems, applied to business dynamics problems. Business dynamics refers to a combination of business management and financial objectives embedded in a dynamical system model. The model is subject to a control that optimizes a performance index and takes both management and financial aspects into account. Business Dynamics Models: Optimization-Based One Step Ahead Optimal Control includes solutions that provide a rationale for the use of optimal control and guidelines for further investigation into more complex models, as well as formulations that can also be used in a so-called flight simulator mode to investigate different complex scenarios. The text offers a modern programming environment (Jupyter notebooks in JuMP/Julia) for modeling, simulation, and optimization, and Julia code and notebooks are provided on a website for readers to experiment with their own examples. This book is intended for students majoring in applied mathematics, business, and engineering. The authors use a formulation-algorithm-example approach, rather than the classical definition-theorem-proof, making the material understandable to senior undergraduates and beginning graduates.
Author: Patrick Boyle
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1547401214
Category : Business & Economics
Languages : en
Pages : 273
Get Book Here
Book Description
Trading and Pricing Financial Derivatives is an introduction to the world of futures, options, and swaps. Investors who are interested in deepening their knowledge of derivatives of all kinds will find this book to be an invaluable resource. The book is also useful in a very applied course on derivative trading. The authors delve into the history of options pricing; simple strategies of options trading; binomial tree valuation; Black-Scholes option valuation; option sensitivities; risk management and interest rate swaps in this immensely informative yet easy to comprehend work. Using their vast working experience in the financial markets at international investment banks and hedge funds since the late 1990s and teaching derivatives and investment courses at the Master's level, Patrick Boyle and Jesse McDougall put forth their knowledge and expertise in clearly explained concepts. This book does not presuppose advanced mathematical knowledge, though it is presented for completeness for those that may benefit from it, and is designed for a general audience, suitable for beginners through to those with intermediate knowledge of the subject.
Author: United States. Congress. Senate. Committee on Governmental Affairs. Permanent Subcommittee on Investigations
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1208
Get Book Here
Book Description
Author: Stefan Jansen
Publisher: Packt Publishing Ltd
ISBN: 1839216786
Category : Business & Economics
Languages : en
Pages : 822
Get Book Here
Book Description
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
