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Thresholded ConvNet ensembles: neural networks for technical forecasting

https://doi.org/10.1007/s00521-020-04877-9
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0261-5606(92)90048-3openalex-snapshot
The use of technical analysis in the foreign exchange market
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Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
inferredcites →https://doi.org/10.1016/j.ejor.2017.11.054openalex-snapshot
Deep learning with long short-term memory networks for financial market predictions
inferredcites →https://doi.org/10.1016/j.eswa.2015.05.013openalex-snapshot
Evaluating multiple classifiers for stock price direction prediction
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Sequence classification of the limit order book using recurrent neural networks
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Minimalistic CNN-based ensemble model for gender prediction from face images
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Using genetic algorithms to find technical trading rules
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Financial time series forecasting using support vector machines
inferredcites →https://doi.org/10.1080/01621459.1951.10500769openalex-snapshot
The Kolmogorov-Smirnov Test for Goodness of Fit
inferredcites →https://doi.org/10.1109/cbi.2017.23openalex-snapshot
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
inferredcites →https://doi.org/10.1109/tsp.2019.2907260openalex-snapshot
DeepLOB: Deep Convolutional Neural Networks for Limit Order Books
inferredcites →https://doi.org/10.1111/j.1540-6261.1994.tb04424.xopenalex-snapshot
Market Statistics and Technical Analysis: The Role of Volume
inferredcites →https://doi.org/10.1111/jofi.12365openalex-snapshot
Does Academic Research Destroy Stock Return Predictability?
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
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Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation
inferredcites →https://doi.org/10.2139/ssrn.3141294openalex-snapshot
Universal Features of Price Formation in Financial Markets: Perspectives From Deep Learning
inferredcites →https://doi.org/10.2307/2331231openalex-snapshot
Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Strategic Stock Market Entry: A Comprehensive Analysis of Candlestick Patterns for Predicting Market Reversals
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Comparative Analysis of Artificial Intelligence Models in Stock Security Index Forecasting with Sentiment Analysis of Economic News
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Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models
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METHODOLOGICAL ASPECTS OF SELECTION OF THE OPTIMAL MOMENT OF MAKING TRANSACTIONS AT THE SECURITIES MARKET ON THE BASIS OF TECHNICAL ANALYSIS
inferred← citeshttps://doi.org/10.37882/2223-2974.2020.12.01openalex-snapshot
Способ разработки торговой системы на основе технического анализа и пути применения информационных технологий для ее реализации
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