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Bitcoin transaction strategy construction based on deep reinforcement learning
11 references·3 citing·54 second hopsampled
Bitcoin transaction strategy construction based on deep reinforcement learning (2021)Bitcoin transaction strategy construction…CNN-based multivariate data analysis for bitcoin trend prediction (2020)CNN-based multivariate data a…Technical trading rules in the cryptocurrency market (2019)Technical trading rules in th…Next-Day Bitcoin Price Forecast (2019)Next-Day Bitcoin Price Foreca…What can explain the price, volatility and trading volume of Bitcoin? (2018)What can explain the price, v…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques (2018)Predicting the direction, max…Predicting bitcoin returns using high-dimensional technical indicators (2018)Predicting bitcoin returns us…Volatility estimation for Bitcoin: A comparison of GARCH models (2017)Volatility estimation for Bit…Bitcoin spread prediction using social and web search media (2015)Bitcoin spread prediction usi…Are Random Trading Strategies More Successful than Technical Ones? (2013)Are Random Trading Strategies…Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Simple Technical Trading Rule…Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions (2024)Cryptocurrency Price Predicti…PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin (2023)PreBit — A multimodal model w…A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading (2023)A novel deep reinforcement le…The Behavior of Stock-Market Prices (1965)Does the Stock Market Overreact? (1985)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Market underreaction to open market share repurchases (1995)Do Investors Trade Too Much? (1999)Improved Methods for Tests of Long‐Run Abnormal Stock Returns (1999)Twitter mood predicts the stock market (2011)The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014)How Does Social Media Impact Bitcoin Value? A Test of the Silent Majority Hypothesis (2018)Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels (2021)On technical trading and social media indicators for cryptocurrency price classification through deep learning (2022)Designing a neural network for forecasting financial and economic time series (1996)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Practical Bayesian Optimization of Machine Learning Algorithms (2012)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)Bitcoin, gold and the dollar – A GARCH volatility analysis (2015)Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin (2015)The Inefficiency of Bitcoin (2016)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation (2018)Portfolio diversification with virtual currency: Evidence from bitcoin (2018)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Simple Approximate Long-Memory Model of Realized Volatility (2008)On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? (2016)The effects of markets, uncertainty and search intensity on bitcoin returns (2018)Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting (2019)Bitcoin and gold price returns: A quantile regression and NARDL analysis (2020)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Corporate Governance and Blockchains (2016)Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy (2020)Short-term bitcoin market prediction via machine learning (2021)Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)Forecasting stock market movement direction with support vector machine (2004)What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis (2015)Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators (2020)Forecasting and trading cryptocurrencies with machine learning under changing market conditions (2021)Financial applications of machine learning: A literature review (2023)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Testing for a Unit Root in Time Series Regression (1988)Another look at measures of forecast accuracy (2006)KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments (2019)Time series analysis of Cryptocurrency returns and volatilities (2020)Entrepreneurial orientation, competitive advantage and strategic knowledge management capability in Malaysian family firms (2021)Value and Momentum Everywhere (2013)Is There an Asymmetric Relationship between Economic Policy Uncertainty, Cryptocurrencies, and Global Green Bonds? Evidence from the United States of America (2022)Learning financial asset-specific trading rules via deep reinforcement learning (2022)Which factors drive Bitcoin volatility: Macroeconomic, technical, or both? (2022)Learning to trade via direct reinforcement (2001)A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020)Carbon price forecasting: a novel deep learning approach (2022)MLP-based Learnable Window Size for Bitcoin price prediction (2022)LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction (2023)
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References

  • 1992Simple Technical Trading Rules and the Stochastic Properties of Stock Returns2,298 cited
  • 2017Volatility estimation for Bitcoin: A comparison of GARCH models1,095 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2018What can explain the price, volatility and trading volume of Bitcoin?306 cited
  • 2018Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques253 cited
  • 2018Predicting bitcoin returns using high-dimensional technical indicators177 cited
  • 2015Bitcoin spread prediction using social and web search media121 cited
  • 2020CNN-based multivariate data analysis for bitcoin trend prediction118 cited
  • 2019Next-Day Bitcoin Price Forecast110 cited
  • 2019Technical trading rules in the cryptocurrency market97 cited
  • 2013Are Random Trading Strategies More Successful than Technical Ones?78 cited

Cited by

  • 2023A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading56 cited
  • 2023PreBit — A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin46 cited
  • 2024Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions38 cited

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