SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Blockchain financial investment based on deep learning network algorithm
9 references·3 citing·51 second hop
Blockchain financial investment based on deep learning network algorithm (2020)Blockchain financial investment based on …Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Forecasting the volatility of…Applications of Deep Learning and Reinforcement Learning to Biological Data (2018)Applications of Deep Learning…An innovative neural network approach for stock market prediction (2018)An innovative neural network …Forecasting stochastic neural network based on financial empirical mode decomposition (2017)Forecasting stochastic neural…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…A Double-Layer Neural Network Framework for High-Frequency Forecasting (2017)A Double-Layer Neural Network…Stock market index prediction using artificial neural network (2016)Stock market index prediction…Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Integrating metaheuristics an…A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting (2015)A novel hybrid model using te…Support Vector Machine Performance Improvements for Cryptocurrency Value Forecasting by Enhanced Sine Cosine Algorithm (2022)Support Vector Machine Perfor…A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction (2022)A Hybrid Data Analytics Frame…Big Data Analytics for Complex Credit Risk Assessment of Network Lending Based on SMOTE Algorithm (2020)Big Data Analytics for Comple…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Listening to Chaotic Whispers (2018)Predicting short-term stock prices using ensemble methods and online data sources (2018)A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Financial time series forecasting using support vector machines (2003)Support vector machine with adaptive parameters in financial time series forecasting (2003)Pigeon-inspired optimization and extreme learning machine via wavelet packet analysis for predicting bulk commodity futures prices (2019)A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction (2021)Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees (2021)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)A neural network approach for credit risk evaluation (2007)Modelling carbon emission intensity: Application of artificial neural network (2019)Systematic analysis and review of stock market prediction techniques (2019)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)The Relation Between Price Changes and Trading Volume: A Survey (1987)The distribution of realized stock return volatility (2001)Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (2007)Exploiting intra-day patterns for market shock prediction: A machine learning approach (2019)Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)Forecasting the overnight return direction of stock market index combining global market indices: A multiple-branch deep learning approach (2022)An Introduction to Econophysics: Correlations and Complexity in Finance (2000)A theory of power-law distributions in financial market fluctuations (2003)Analysis of Financial Time Series (2006)A new hybrid financial time series prediction model (2020)Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model (2022)Does the Stock Market Overreact? (1985)Hierarchical structure in financial markets (1999)Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)A systematic review of fundamental and technical analysis of stock market predictions (2019)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Evaluating multiple classifiers for stock price direction prediction (2015)Predicting the Price of Bitcoin Using Machine Learning (2018)Deep Learning for Stock Market Prediction (2020)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)On the use of cross-validation for time series predictor evaluation (2012)Sentiment analysis on social media for stock movement prediction (2015)NSE Stock Market Prediction Using Deep-Learning Models (2018)A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications (2018)Twitter speaks: A case of national disaster situational awareness (2019)Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study (2021)
this work references cited by second hop

References

  • 2018Applications of Deep Learning and Reinforcement Learning to Biological Data846 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2018Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models786 cited
  • 2018An innovative neural network approach for stock market prediction476 cited
  • 2016Stock market index prediction using artificial neural network396 cited
  • 2015Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction324 cited
  • 2015A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting127 cited
  • 2017Forecasting stochastic neural network based on financial empirical mode decomposition110 cited
  • 2017A Double-Layer Neural Network Framework for High-Frequency Forecasting67 cited

Cited by

  • 2022A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction43 cited
  • 2022Support Vector Machine Performance Improvements for Cryptocurrency Value Forecasting by Enhanced Sine Cosine Algorithm39 cited
  • 2020Big Data Analytics for Complex Credit Risk Assessment of Network Lending Based on SMOTE Algorithm21 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work