Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own t...(展开全部)

By some estimates, quantitative (or algorithmic) trading now accounts for over one-third of trading volume in the United States. While institutional traders continue to implement this highly effective approach, many independent traders—with limited resources and less computing power—have wondered if they can still challenge powerful industry professionals at their own game? The...(展开全部)

If you’ve ever wondered how to build your own programming language or wanted to learn C but weren’t sure where to start, this is the book for you. In under 1000 lines of code you’ll start building your very own programming language, and in doing so learn how to program in C, one of the world’s most important programming languages. Along the way we’ll learn about the weird and w...(展开全部)

If you’ve ever wondered how to build your own programming language or wanted to learn C but weren’t sure where to start, this is the book for you. In under 1000 lines of code you’ll start building your very own programming language, and in doing so learn how to program in C, one of the world’s most important programming languages. Along the way we’ll learn about the weird and w...(展开全部)

If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help.Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem.Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.

Algorithmic trading and Direct Market Access (DMA) are important tools helping both buy and sell-side traders to achieve best execution. This book starts from the ground up to provide detailed explanations of both these techniques: - An introduction to the different types of execution is followed by a review of market microstructure theory. Throughout the book examples from emp...(展开全部)

Written by the creator of the Unicon programming language, this book will show you how to implement programming languages to reduce the time and cost of creating applications for new or specialized areas of computing. Key Features: - Solve pain points in your application domain by building a custom programming language - Learn how to create parsers, code generators, semantic an...(展开全部)

Carol Klein is passionate about propagation. Her own garden, Glebe Cottage in Devon, as seen on Gardeners' World, is almost grown entirely from cuttings and seeds and in this book she's on a mission to share her joy in working with nature to cultivate the plants she loves. Too often gardeners are intimidated by propagation, assume it's not for them and go for ready-grown plants...(展开全部)

Praise for The Daily Trading Coach "A great book Simply written, motivational with unique content that leads any trader, novice or experienced, along the path of self-coaching. This is by far Dr. Steenbarger's best book and a must-have addition to any trader's bookshelf. I'll certainly be recommending it to all my friends." --Ray BarrosCEO, Ray Barros Trading Group "Dr. Stee...(展开全部)

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.