Finance

All Indian Reprints of O'Reilly are Printed in Grayscale. Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and back-test the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on book, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will: Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them• Use a framework to learn how back-testing trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability

All Indian Reprints of O'Reilly are printed in Grayscale Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.

Fully revised with the updated study material by ICAI (released in December 2020) and is tailored to suit the final year students of CA Final who are appearing for May 2021 examinations or later, under new syllabus. This edition also incorporates several additional problems including those asked in the November 2020 examination. It also incorporates solution to the January 2021 (November 2020 – Cycle II) examination question paper. Minor typographical errors have been corrected in the chapter of Equity Portfolio Management and other chapters. As ever, this book tries to balance the needs of those group of students who want to use this material just for passing the examination and the needs of those group of students who wants to learn in detail and pass the examination with high marks.

All Indian Reprints of O'Reilly are printed in Grayscale Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.