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A profitable trading algorithm for cryptocurrencies using a Neural Network model
16 references·0 citing·50 second hop
A profitable trading algorithm for cryptocurrencies using a Neural Network model (2023)A profitable trading algorithm for crypto…Machine learning techniques and data for stock market forecasting: A literature review (2022)Machine learning techniques a…Cryptocurrency trading: a comprehensive survey (2022)Cryptocurrency trading: a com…The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)The predictive power of publi…Prediction of cryptocurrency returns using machine learning (2020)Prediction of cryptocurrency …Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators (2020)Convolution on neural network…Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning (2019)Price Movement Prediction of …Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting (2019)Exogenous drivers of Bitcoin …Price manipulation in the Bitcoin ecosystem (2018)Price manipulation in the Bit…Cryptocurrency forecasting with deep learning chaotic neural networks (2018)Cryptocurrency forecasting wi…Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks (2017)Forecasting Stock Prices from…Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies (2016)Predicting Fluctuations in Cr…Stock Market Volatility and Macroeconomic Fundamentals (2012)Stock Market Volatility and M…The Efficient Market Hypothesis and Its Critics (2003)The Efficient Market Hypothes…Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Technical analysis of the fin…Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and Turning Points (1985)Technical Analysis Explained:…17. A Value for n-Person Games (1953)17. A Value for n-Person GamesAutoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior (1999)Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles (2000)Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets (2016)Drivers of green bond market growth: The importance of Nationally Determined Contributions to the Paris Agreement and implications for sustainability (2019)Forecasting: theory and practice (2022)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Common risk factors in the returns on stocks and bonds (1993)Asymmetric causality tests with an application (2011)Twitter mood predicts the stock market (2011)Applications of deep learning in stock market prediction: Recent progress (2021)Stock Market Manipulations* (2006)The Twilight Zone: OTC Regulatory Regimes and Market Quality (2013)Can We Predict the Winner in a Market with Network Effects? 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An international perspective from the COVID-19 pandemic (2020)Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis (2020)A Coefficient of Agreement for Nominal Scales (1960)Drift Independent Volatility Estimation Based on High, Low, Open, and Close Prices (2000)Classification-based financial markets prediction using deep neural networks (2017)Deep learning for financial applications : A survey (2020)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Volatility estimation for Bitcoin: A comparison of GARCH models (2017)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Quantile connectedness in the cryptocurrency market (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19 (2020)The Characteristics and Portfolio Behavior of Bitcoin Investors: Evidence from Indirect Cryptocurrency Investments (2021)A systematic literature review of investor behavior in the cryptocurrency markets (2023)Dynamic Conditional Correlation (2002)On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms (2011)Measuring Economic Policy Uncertainty* (2016)Security and Privacy in Metaverse: A Comprehensive Survey (2023)Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets (2023)FinTech: a literature review of emerging financial technologies and applications (2025)Fuzzy sets (1965)Using thematic analysis in psychology (2006)Financial applications of machine learning: A literature review (2023)Data-driven stock forecasting models based on neural networks: A review (2024)Exponential smoothing method against the gradient boosting machine learning algorithm-based model for materials forecasting to minimize inventory (2024)Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap (1999)Financial time series forecasting using support vector machines (2003)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)The application of fuzzy integrals in multicriteria decision making (1996)k-order additive discrete fuzzy measures and their representation (1997)Decomposition procedures for distributional analysis: a unified framework based on the Shapley value (2012)
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References

  • 195317. A Value for n-Person Games7,257 cited
  • 2003The Efficient Market Hypothesis and Its Critics2,415 cited
  • 2012Stock Market Volatility and Macroeconomic Fundamentals1,140 cited
  • 2018Price manipulation in the Bitcoin ecosystem783 cited
  • 1999Technical analysis of the financial markets: a comprehensive guide to trading methods and applications773 cited
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  • 2022Cryptocurrency trading: a comprehensive survey481 cited
  • 2020The predictive power of public Twitter sentiment for forecasting cryptocurrency prices465 cited
  • 2018Cryptocurrency forecasting with deep learning chaotic neural networks406 cited
  • 2017Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks401 cited
  • 2016Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies286 cited
  • 2019Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine Learning273 cited
  • 2020Prediction of cryptocurrency returns using machine learning265 cited
  • 1985Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and Turning Points198 cited

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2020
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators
196 cited
  • 2019Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting183 cited
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