One Good Trade - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook One Good Trade write by Mike Bellafiore. This book was released on 2010-07-02. One Good Trade available in PDF, EPUB and Kindle. An inside look at what it really takes to become a better trader A proprietary trading firm consists of a group of professionals who trade the capital of the firm. Their income and livelihood is generated solely from their ability to take profits consistently out of the markets. The world of prop trading is mentally and emotionally challenging, but offers substantial rewards to the select few who can master this craft called trading. In One Good Trade: Inside the Highly Competitive World of Proprietary Trading, author Mike Bellafiore shares the principles and techniques that have enabled him to navigate the most challenging of markets over the past twelve years. He explains how he has imparted those techniques to an elite desk of traders at the proprietary trading firm he co-founded. In doing so, he lifts the veil on the inner workings of his firm, shedding light on the challenges of prop trading and insight on why traders succeed or fail. An important contribution to trading literature, the book will help all traders by: Emphasizing the development of skills that are critical to success, such as the fundamentals of One Good Trade, Reading the Tape, and finding Stocks In Play Outlining the factors that really make the difference between a consistently profitable trader and one who underperforms Sharing entertaining, hysterical, and page turning stories of traders who have excelled or failed and why, many trained by the author, with an essential trading principle wrapped inside Becoming a better trader takes discipline, skill development, and statistically profitable trading strategies, and this book will show you how to develop all three.
One Good Trade
One Good Trade - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook One Good Trade write by Mike Bellafiore. This book was released on 2010-08-02. One Good Trade available in PDF, EPUB and Kindle. An inside look at what it really takes to become a better trader A proprietary trading firm consists of a group of professionals who trade the capital of the firm. Their income and livelihood is generated solely from their ability to take profits consistently out of the markets. The world of prop trading is mentally and emotionally challenging, but offers substantial rewards to the select few who can master this craft called trading. In One Good Trade: Inside the Highly Competitive World of Proprietary Trading, author Mike Bellafiore shares the principles and techniques that have enabled him to navigate the most challenging of markets over the past twelve years. He explains how he has imparted those techniques to an elite desk of traders at the proprietary trading firm he co-founded. In doing so, he lifts the veil on the inner workings of his firm, shedding light on the challenges of prop trading and insight on why traders succeed or fail. An important contribution to trading literature, the book will help all traders by: Emphasizing the development of skills that are critical to success, such as the fundamentals of One Good Trade, Reading the Tape, and finding Stocks In Play Outlining the factors that really make the difference between a consistently profitable trader and one who underperforms Sharing entertaining, hysterical, and page turning stories of traders who have excelled or failed and why, many trained by the author, with an essential trading principle wrapped inside Becoming a better trader takes discipline, skill development, and statistically profitable trading strategies, and this book will show you how to develop all three.
Trading for Good
Trading for Good - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Trading for Good write by Christian Felber. This book was released on 2019-11-15. Trading for Good available in PDF, EPUB and Kindle. Trade is the lifeblood of the global economy, but few would consider it a social good. Instead, our views on trade have polarized between two extremes: ‘free trade’ ideologues who regard trade as an end in itself, and ‘protectionists’ who view it as a destructive force to be contained. But there is another way to trade – one with the interests of people, not profit, at its heart. In this visionary work Christian Felber, founder of the Economy for the Common Good movement, offers a dazzling new paradigm for the global trading order. Confronting the ‘free trade religion’ which has reigned since Adam Smith, Felber champions an alternative approach in which trade serves the wider interests of society, incorporating the key issues of our time: human rights, climate change, and the growing divide richer and poorer countries. He proposes the groundbreaking idea of an ‘Ethical Trade Zone’, founded on a principled approach to tariffs and trade policies, and built with international cooperation on trade, taxation and labour. Penetrating and passionate, Christian Felber shows how this brave new economic world can be built democratically from the grassroots up, and how trading for good can be made a reality.
Trading for a Living
Trading for a Living - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Trading for a Living write by Alexander Elder. This book was released on 1993-03-22. Trading for a Living available in PDF, EPUB and Kindle. Trading for a Living Successful trading is based on three M's: Mind, Method, and Money. Trading for a Living helps you master all of those three areas: * How to become a cool, calm, and collected trader * How to profit from reading the behavior of the market crowd * How to use a computer to find good trades * How to develop a powerful trading system * How to find the trades with the best odds of success * How to find entry and exit points, set stops, and take profits Trading for a Living helps you discipline your Mind, shows you the Methods for trading the markets, and shows you how to manage Money in your trading accounts so that no string of losses can kick you out of the game. To help you profit even more from the ideas in Trading for a Living, look for the companion volume--Study Guide for Trading for a Living. It asks over 200 multiple-choice questions, with answers and 11 rating scales for sharpening your trading skills. For example: Question Markets rise when * there are more buyers than sellers * buyers are more aggressive than sellers * sellers are afraid and demand a premium * more shares or contracts are bought than sold * I and II * II and III * II and IV * III and IV Answer B. II and III. Every change in price reflects what happens in the battle between bulls and bears. Markets rise when bulls feel more strongly than bears. They rally when buyers are confident and sellers demand a premium for participating in the game that is going against them. There is a buyer and a seller behind every transaction. The number of stocks or futures bought and sold is equal by definition.
Hands-On Machine Learning for Algorithmic Trading
Hands-On Machine Learning for Algorithmic Trading - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hands-On Machine Learning for Algorithmic Trading write by Stefan Jansen. This book was released on 2018-12-31. Hands-On Machine Learning for Algorithmic Trading available in PDF, EPUB and Kindle. Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series forecasting and smart analyticsBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies. This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML workflow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies. Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym. What you will learnImplement machine learning techniques to solve investment and trading problemsLeverage market, fundamental, and alternative data to research alpha factorsDesign and fine-tune supervised, unsupervised, and reinforcement learning modelsOptimize portfolio risk and performance using pandas, NumPy, and scikit-learnIntegrate machine learning models into a live trading strategy on QuantopianEvaluate strategies using reliable backtesting methodologies for time seriesDesign and evaluate deep neural networks using Keras, PyTorch, and TensorFlowWork with reinforcement learning for trading strategies in the OpenAI GymWho this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.
