Forex Trend Classification by Machine Learning - 8 Angebote vergleichen

Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Foreign Currency Exchange market (Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this book, we investigate the prediction of the ' high ' exchange rate daily trend as classification problem (two classes), with uptrend and downtrend outcomes. Foreign Exchange (Forex) market trend was predicted using classification and machine learning techniques for the sake of gaining long-term profits. The trading strategy here is to take one action per day, where this action is either buy or sell based on the prediction we have. We view the prediction problem as a classification task, thus this work is not trying to predict the actual exchange rate value between two currencies, but rather, if that exchange rate is going to rise or fall. Forex daily exchange rate values can be seen as a time series data and all time series data forecasting and data mining techniques can be used to do the required classification task. 112 pp. Englisch.

Lieferung aus: Deutschland, Versandkostenfrei.
Forex Trend Classification by Machine Learning: Foreign Currency Exchange market (Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this book, we investigate the prediction of the ` high ` exchange rate daily trend as classification problem (two classes), with uptrend and downtrend outcomes. Foreign Exchange (Forex) market trend was predicted using classification and machine learning techniques for the sake of gaining long-term profits. The trading strategy here is to take one action per day, where this action is either buy or sell based on the prediction we have. We view the prediction problem as a classification task, thus this work is not trying to predict the actual exchange rate value between two currencies, but rather, if that exchange rate is going to rise or fall. Forex daily exchange rate values can be seen as a time series data and all time series data forecasting and data mining techniques can be used to do the required classification task. Englisch, Taschenbuch.

Foreign Currency Exchange market (Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this book, we investigate the prediction of the ' high ' exchange rate daily trend as classification problem (two classes), with uptrend and downtrend outcomes. Foreign Exchange (Forex) market trend was predicted using classification and machine learning techniques for the sake of gaining long-term profits. The trading strategy here is to take one action per day, where this action is either buy or sell based on the prediction we have. We view the prediction problem as a classification task, thus this work is not trying to predict the actual exchange rate value between two currencies, but rather, if that exchange rate is going to rise or fall. Forex daily exchange rate values can be seen as a time series data and all time series data forecasting and data mining techniques can be used to do the required classification task.

Lieferung aus: Deutschland, Lieferzeit: 5 Tage.
Foreign Currency Exchange market (Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this book, we investigate the prediction of the ' high ' exchange rate daily trend as classification problem (two classes), with uptrend and downtrend outcomes. Foreign Exchange (Forex) market trend was predicted using classification and machine learning techniques for the sake of gaining long-term profits. The trading strategy here is to take one action per day, where this action is either buy or sell based on the prediction we have. We view the prediction problem as a classification task, thus this work is not trying to predict the actual exchange rate value between two currencies, but rather, if that exchange rate is going to rise or fall. Forex daily exchange rate values can be seen as a time series data and all time series data forecasting and data mining techniques can be used to do the required classification task.

Lieferung aus: Deutschland, Versandkosten nach: Deutschland.
Von Händler/Antiquariat, Bücher Thöne GbR, [3080972].
Neuware - Foreign Currency Exchange market (Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this book, we investigate the prediction of the ' high ' exchange rate daily trend as classification problem (two classes), with uptrend and downtrend outcomes. Foreign Exchange (Forex) market trend was predicted using classification and machine learning techniques for the sake of gaining long-term profits. The trading strategy here is to take one action per day, where this action is either buy or sell based on the prediction we have. We view the prediction problem as a classification task, thus this work is not trying to predict the actual exchange rate value between two currencies, but rather, if that exchange rate is going to rise or fall. Forex daily exchange rate values can be seen as a time series data and all time series data forecasting and data mining techniques can be used to do the required classification task. -, Taschenbuch, Neuware, 220x150x7 mm, 183g, 112, Internationaler Versand, Offene Rechnung.

Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
Foreign Currency Exchange market (Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this book, we investigate the prediction of the ' high ' exchange rate daily trend as classification problem (two classes), with uptrend and downtrend outcomes. Foreign Exchange (Forex) market trend was predicted using classification and machine learning techniques for the sake of gaining long-term profits. The trading strategy here is to take one action per day, where this action is either buy or sell based on the prediction we have. We view the prediction problem as a classification task, thus this work is not trying to predict the actual exchange rate value between two currencies, but rather, if that exchange rate is going to rise or fall. Forex daily exchange rate values can be seen as a time series data and all time series data forecasting and data mining techniques can be used to do the required classification task. 2016, Taschenbuch / Paperback, Neuware, H: 220mm, B: 150mm, T: 7mm, 186g, 112, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung.