The Alpha S Quest

Ethan leaves the only home he's ever known on a mission to find those responsible for attacking Grey Ridge, and to find a mate of his own. Guilt consumes him over the near death of his friend's mate. He won't return as beta until he's proven he can protect his pack. Nothing will distract him from his quest for justice, including finding his fated mate. No matter how much it hurts. When a handsome stranger beats down Belle's door and turns her world upside down, she knows she'll never be the same. With her mate in danger, Belle will do anything to help him, including putting her future happiness, and her life, at risk by going undercover with the enemy. Nobody will stop her doing whatever it takes, but will her mate be able to forgive her. This is book 5 in the Shifters of Grey Ridge series, a steamy wolf shifter romance with rejected mates and a happily ever after.

Ethan leaves the only home he's ever known on a mission to find those responsible for attacking Grey Ridge, and to find a mate of his own. Guilt consumes him over the near death of his friend's mate. He won't return as beta until he's proven he can protect his pack. Nothing will distract him from his quest for justice, including finding his fated mate. No matter how much it hurts. When a handsome stranger beats down Belle's door and turns her world upside down, she knows she'll never be the same. With her mate in danger, Belle will do anything to help him, including putting her future happiness, and her life, at risk by going undercover with the enemy. Nobody will stop her from doing whatever it takes, but will her mate be able to forgive her? This is book 5 in the Shifters of Grey Ridge series, a steamy wolf shifter romance with rejected mates and a happily ever after.

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.

Discover the ins and outs of designing predictive trading models Drawing on the expertise of WorldQuant’s global network, this new edition of Finding Alphas: A Quantitative Approach to Building Trading Strategies contains significant changes and updates to the original material, with new and updated data and examples. Nine chapters have been added about alphas – models used to make predictions regarding the prices of financial instruments. The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. • Provides more references to the academic literature • Includes new, high-quality material • Organizes content in a practical and easy-to-follow manner • Adds new alpha examples with formulas and explanations If you’re looking for the latest information on building trading strategies from a quantitative approach, this book has you covered.

When a young girl, Aya Wright, develops extraordinary abilities and becomes a target of the world's most powerful fader, Eve must protect her. But at what price? In the twenty-five years since she exposed the existence of faders, Eve Cooper has survived the collapse of her country and the loss of her closest friends. Now she lives a mostly solitary life in rural Indiana, where she runs a secret network and safe house for faders -individuals like her with extraordinary abilities. In nearby Chicago, a young girl named Aya Wright becomes a target of the world's most powerful fader because of her unparalleled abilities. When she arrives at the safe house after an attack, Aya soon sets in motion a series of events that threaten not only to upend Eve's settled life but potentially change the world. As Eve struggles to reconcile her past with the choices in front of her, she must decide whether to leave her recluse life to protect Aya or allow the headstrong girl to find her own way in the world...

An in-depth examination of today's most important wealth management issues Managing the assets of high-net-worth individuals has become a core business specialty for investment and financial advisors worldwide. Keeping abreast of the latest research in this field is paramount. That's why Private Wealth, the inaugural offering in the CFA Institute Investment Perspectives series has been created. As a sister series to the globally successful CFA Institute Investment Series, CFA Institute and John Wiley are proud to offer this new collection. Private Wealth presents the latest information on lifecycle modeling, asset allocation, investment management for taxable private investors, and much more. Researched and written by leading academics and practitioners, including Roger Ibbotson of Yale University and Zvi Bodie of Boston University, this volume covers human capital and mortality risk in life cycle stages and proposes a life-cycle model for life transitions. It also addresses complex tax matters and provides details on customizing investment theory applications to the taxable investor. Finally, this reliable resource analyzes the use of tax-deferred investment accounts as a means for wealth accumulation and presents a useful framework for various tax environments.