[PDF] Top 20 Machine Learning the Cryptocurrency Market
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Machine Learning the Cryptocurrency Market
... The popularity of cryptocurrencies has skyrocketed in 2017 due to several consecutive months of superexponential growth of their market capitalization [1], which peaked at more than $800 billions in Jan. 2018. ... See full document
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Machine Learning the Cryptocurrency Market
... of machine learning techniques for stock markets prediction [36–42], suggests that these methods could be effective also in predicting cryptocurrencies ...of machine learning algorithms to the ... See full document
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Forecasting cryptocurrency prices time series using machine learning approach
... recent cryptocurrency market studies show that, unlike other financial assets, cryptocurrency prices are influenced by a number of specific factors that shape their demand, such as the number of ... See full document
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Mutual-excitation of cryptocurrency market returns and social media topics
... A. Cryptocurrency prediction via online data sources The use of online information, including social media, to predict financial asset movements has generated widespread ...and machine learning to ... See full document
8
Forecasting of the cryptocurrency market through social media sentiment analysis
... for cryptocurrency utilization become more available end users, both as means of payment and investment due to the ongoing maturation process of cryptocurrency, any reasonable research on this topic can ... See full document
12
Comparison of HDNN with other Machine Learning Models in Stock Market Prediction
... when machine learning was not a ...of machine learning techniques. Various machine learning tools have been used by the researchers to predict the prices of ...deep ... See full document
9
A Survey of Systems for Predicting Stock Market Movements, Combining Market Indicators and Machine Learning Classifiers
... infancy. Learning the techniques that can be used to parse and classify big data sets was the ultimate objective, due to the importance it will play in the future of the ... See full document
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Title: STOCK MARKET PREDICTION USING MACHINE LEARNING TECHNIQUE
... The current system can update its training set as each day passes so as to detect newer trends and behave like an online-learning system that predicts stock in real-time.The intelligent time series prediction ... See full document
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Stock Market Price Trend Forecasting using Machine Learning
... of machine learning techniques, the first is supervised learning in which the training data is a series of labelled ...Unsupervised learning includes examples where the feature set is ... See full document
6
On the predictability of U.S. stock market using machine learning and deep learning techniques
... deep learning techniques based on artificial intelligence, which encompasses sup- port vector machines (SVM) and neural networks ...and market sentiment, shows the outperformance of SVM over NNET and ... See full document
221
Machine Learning Application for Stock Market Price Prediction.
... financial market: forecasting and trading the Taiwan Stock ...on market index of the Taiwan Stock Exchange, one of the fastest growing financial exchanges in developing Asian ...Stock Market in ... See full document
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A Machine Learning approach to 5G Infrastructure Market optimization
... a learning algorithm; however, the proposed algorithm relies on an offline approach, which is not suitable for a continuously varying environment such as the 5G Infrastructure ... See full document
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Stock Market Prediction Using Machine Learning In Python
... and Machine Learning approaches have been the focus of many of ...of Machine Learning algorithms been able to reach satisfactory results when doing that type of ...other Machine ... See full document
5
Prediction of Stock market using Machine Learning and Artificial Neural Network
... The obtained Dataset is in untreated format. So it will be pre-processed to fill the empty data and make it uniform. After pre- processing is done, the Data will undergo scaling to bring data on a common scale. The data ... See full document
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Commodity Market Price Analysis and Prediction using Machine Learning Framework
... vector machine is selected due to the following reasons; (1) Data classification could be performed without making strong assumptions; (2) SVM is established on the structural risk minimization principle, which ... See full document
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Technical Analysis of Stock Market Trends Using Trend Agents and Machine Learning
... Stock Market was unstable over the last few ...the market comes into picture. On an average the market values of stock was shifting in a downtrend losing about ...unstable market state. The ... See full document
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Stock Market Prediction for Quantitative Trading Strategies in Financial Market Using Machine Learning Ensemble Methods
... Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its ... See full document
5
An Analysis on Investment Performance of Machine Learning: An Empirical Examination on Taiwan Stock Market
... Yang et al. (2019) predict stock market price with a forecasting model based on chaotic mapping, firefly algorithm, and SVR. Compared with GA-based SVR (SVR-GA), chaotic GA-based SVR (SVR-CGA), firefly-based SVR ... See full document
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Testing Market Response to Auditor Change Filings: a comparison of machine learning classifiers
... The market response increases for companies that have prior securities litigation and higher risk of ...the market response to the dismissal ...the market reaction to the dismissal is significantly ... See full document
13
Housing Market Crash Prediction Using Machine Learning and Historical Data
... housing market crisis very accurately ...Housing market prediction using Hidden Markov Model and Long Short-Term Memory has not been done yet, therefore in this project we would be using these techniques ... See full document
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