NEW EDITION! (October 2018). The proven system of trade--based on Structural Target Patterns (ST Patterns)--presented in this book is able to bring a monthly profit equal to 100% or more (on average) of the deposit amount. To be successful in today's Forex, Futures, Indices, Commodities and other liquid markets, most of the knowledge and trading techniques accumulated over the last two centuries are not needed at all. The technical portion of a profitable trading system only needs to include the ST Patterns strategy. This method of assessing market movements by using target models gives traders clear and unambiguous signals regarding their actions in the present moment. The graphic figures presented here build upon each other iteratively to create a clear picture of market conditions. Unlike the claims of the most popular technical and fundamental analysis methods, the trading system in this book does not predict market behavior. I no longer need any predictions about prices because their movements have become obvious to me. Following the ST Patterns method, managing trading positions becomes simple. It took me many years to establish and improve this trading system, and now it is ready to be used by you. I believe that, at the very least, this book can save traders' time and money. You can spend a whole lifetime in search of the Holy Grail, but it is possible to solve the problems associated with trading in just a few days. The present determines the future! Opportunities to use ST patterns are included in the free preview of the first pages of this book. Note: This book (ISBN: 1719837384). is with a color interior. You can also buy a book (ISBN: 1719859833) with black & white interior.The month following the book's «Trading Code is Open» publication perfectly demonstrated the possibilities of using the trading system and showed how almost half of the ST Patterns published in this book operate in practice. The technical analysis presented in «Forex Strategy: ST Patterns Trading Manual, EUR/USD Chart Analysis Step by Step, 300% for One Month» book, based on accurate calculations, will help traders consolidate the acquired knowledge, and to increase their own skills with Structural Target Patterns. The study of the GBP/USD pair will help readers understand the importance of determining periods of market uncertainty in a timely fashion. To demonstrate the flexibility of the strategy settings and the formation of short-term uncertainty periods, the EUR/USD pair is shown on five-minute charts in one working day on May 31. For nine hours of work, the result was approximately + 82% of the initial deposit.

The ST Patterns Trading Manual will provide a detailed hourly technical analysis using EUR/USD pairs for May 2017. Calculations of the results are performed based on the actual results without rounding off. The strategy shows a good technical result for the EUR/USD pair in May--equal to about 300% of the initial deposit. The study of the GBP/USD pair will help readers understand the importance of determining periods of market uncertainty in a timely fashion.To demonstrate the flexibility of the strategy settings and the formation of short-term uncertainty periods, the EUR/USD pair is shown on five-minute charts in one working day on May 31. For nine hours of work, the result was approximately + 82% of the initial deposit.The month following the first book's «Trading Code is Open: ST Patterns of the Forex and Futures Exchanges» publication perfectly demonstrated the possibilities of using the trading system and showed how almost half of the ST Patterns published in this book operate in practice. The analysis, based on accurate calculations, will help traders consolidate the acquired knowledge, and to increase their own skills with Structural Target Patterns.Over the 18 years I have spent researching dozens of well-known, as well as not so famous, trading systems, I have not found any that could demonstrate anything near the results obtained by the ST Patterns trading method during this arbitrarily chosen time interval. The trading of the EUR/USD currency pair is given as the main example in this book. But the algorithm for this trading, detailed in this book, is also applicable to other currency pairs. The ST Trading Strategy is also profitable in the Futures, Indices, Commodities and other liquid markets. Millions of traders are trying to find an effective technical method for analyzing the movement of exchange charts. Now it has arrived! Note: This book (ISBN: 1719837996). is with a color interior. You can also buy a book (ISBN: 171986005X) with black & white interior.

Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms

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.

This is not just another book with yet another trading system. This is a complete guide to developing your own systems to help you make and execute trading and investing decisions. It is intended for everyone who wishes to systematise their financial decision making, either completely or to some degree. Author Robert Carver draws on financial theory, his experience managing systematic hedge fund strategies and his own in-depth research to explain why systematic trading makes sense and demonstrates how it can be done safely and profitably. Every aspect, from creating trading rules to position sizing, is thoroughly explained. The framework described here can be used with all assets, including equities, bonds, forex and commodities. There is no magic formula that will guarantee success, but cutting out simple mistakes will improve your performance. You'll learn how to avoid common pitfalls such as over-complicating your strategy, being too optimistic about likely returns, taking excessive risks and trading too frequently. Important features include: - The theory behind systematic trading: why and when it works, and when it doesn't. - Simple and effective ways to design effective strategies. - A complete position management framework which can be adapted for your needs. - How fully systematic traders can create or adapt trading rules to forecast prices. - Making discretionary trading decisions within a systematic framework for position management. - Why traditional long only investors should use systems to ensure proper diversification, and avoid costly and unnecessary portfolio churn. - Adapting strategies depending on the cost of trading and how much capital is being used. - Practical examples from UK, US and international markets showing how the framework can be used. Systematic Trading is detailed, comprehensive and full of practical advice. It provides a unique new approach to system development and a must for anyone considering using systems to make some, or all, of their investment decisions.

"Contains material adapted from The everything investing book, 3rd edition"--Title page verso.

Understand how day trading works—and get an action plan Due to the fluctuating economy, trade wars, and new tax laws, the risks and opportunities for day traders are changing. Now, more than ever, trading can be intimidating due to the different methods and strategies of traders on Wall Street. Day Trading For Dummies provides anyone interested in this quick-action trading with the information they need to get started and maintain their assets. From classic and renegade strategies to the nitty-gritty of daily trading practices, this book gives you the knowledge and confidence you'll need to keep a cool head, manage risk, and make decisions instantly as you buy and sell your positions. New trading products such as cryptocurrencies Updated information on SEC rules and regulations and tax laws Using options to manage risk and make money Expanded information on programming If you’re someone who needs to know a lot about day trading in a short amount of time, this is your place to start.

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Douglas uncovers the underlying reasons for lack of consistency and helps traders overcome the ingrained mental habits that cost them money. He takes on the myths of the market and exposes them one by one teaching traders to look beyond random outcomes, to understand the true realities of risk, and to be comfortable with the "probabilities" of market movement that governs all market speculation.