RETRACTED BOOK: 151 Trading Strategies
Buch in deiner Nähe kaufen
Beschreibung
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
Includes detailed descriptions and more than 550 mathematical formulas for more than 150 trading strategies across a host of asset classes and trading styles
Features trading strategies for a variety of asset classes and trading styles including stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage
Showcases source code for out-of sample backtesting, and trading strategies based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors
Includes detailed descriptions and more than 550 mathematical formulas for more than 150 trading strategies across a host of asset classes and trading styles.Features trading strategies for a variety of asset classes and trading styles including stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage.
Showcases source code for out-of sample backtesting, and trading strategies based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors.
Autor*in
Zura Kakushadze
Themen in »RETRACTED BOOK: 151 Trading Strategies«
Cash Commodities Convertible Bond Cryptocurrencies Distressed Assets Energy Exchange-traded Fund (ETF) Foreign Exchange (FX) Futures Global Macro Index Inflation Infrastructure Option Real Estate