Automated trading with performance weighted random forests and seasonality

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Predictability of Financial Markets in ASEAN Countries using Machine Learning TechniquesPreprint

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Predicting VIX with Adaptive Machine LearningPreprint

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Financial Fraud Detection with Altman Z-Score and Beneish M-Score via Random Forest: Verified by Borsa Istanbul Fines (2018–2022)

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Hybrid Prediction Framework Using Novel Stability-enhanced Dynamic Thresholding Feature Selection and Artificial Intelligence Methods for Financial Market Trend Prediction

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Kendall's Coefficient of Concordance Ranking of the Effectiveness of Single Machine Learning Models in Predicting Stock Price Movement

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Transfer Learning and LSTM to Predict Stock Price

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Stock market simulator using hidden Markov generative model and its application in risk measurement

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Harnessing Artificial Intelligence for Stock Market Price Forecasting

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Timing Usage of Technical Analysis in the Cryptocurrency Market

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Crisp vs Fuzzy Decision Support Systems for the Forex Market

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Using Self Organizing Maps for Banking Oversight

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Confident Stock Price Prediction using Markov Chains

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A Risk-Based Trading System Using Algorithmic Trading and Deep Learning Models

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Multi-factor Quantitative Stock Selection Model Based on LSTM-TabNet

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Deep Learning for Bond Yield Forecasting: The LSTM ‐ LagLasso

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Prediction of bankruptcy of small and medium-sized business entities in Russia

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On Advances in Deep Learning with Applications in Financial Market Modeling

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RTS: Expert advisor for reaction trend system

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A Study on the Strategies of Hedging System Trading Using Single-Stock Futures

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Convexity-Concavity Indicators and Automated Trading Strategies Based on Gradient Boosted Classification Trees Models

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Using Self Organizing Maps for Banking Oversight

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Evaluating efficiency of ensemble classifiers in predicting the JSE all-share index attitude

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An intelligent investment strategy for return sustainability in global equity markets

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Three essays on the use of neural networks for financial prediction

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Performance-Based Modeling of Spatial and Temporal Variability of Treated Wastewater Quality for Improved Nutrient Management

Suchetana, B. (2018) · CU Scholar (University of Colorado Boulder)

Effectiveness of Momentum Indicators to Improve Accuracy of Stock Price Prediction for Large-Captial Stocks

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Predicting Global Restaurant Facility ClosuresPreprint

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A machine learning approach for allocating route cost to customers for transportation and logistics services.

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Processing social media text for the quantamental analyses of cryptoasset time series

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Machine Learning Classification of Price Extrema Based on Market Microstructure and Price Action Features. A Case Study of S&P500 E-mini FuturesPreprint

Sokolovsky, A., & Arnaboldi, L. (2020) · arXiv (Cornell University)

Telemarketing Guidance in Selling Banking Services: A Data Mining Approach

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A Novel Interpretable Stock Selection Algorithm for Quantitative Trading

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The progress and state-of-art applications of machine learning for stock price prediction

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Cryptocurrency Trading BoT Using Python

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Artificial Intelligence Technologies Applied to Asset Management: Methods, Opportunities and Risks

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Supporting Algorithmic Trading with Machine Learning: Progress in Backend Technology

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A multi-path time-series generation and prediction model for financial markets using discriminator-filtered Monte Carlo TimeGAN

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High-Frequency Financial Time Series Return Prediction Oriented Towards Transaction Costs: A Hierarchical Ensemble Learning and Regularized Meta-Learning Framework Incorporating Microstructural Features of Broussonetia Papyrifera

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Leveraging Machine Learning Techniques for Enhanced Algorithmic Trading Strategies

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Recent Developments in Quantitative Investing: Evolving Theory from the Financial to Responsible Perspective and Machine Learning Tools

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ETIA: Ensemble trading indicator analysis for improved market forecasting with enhanced deep learning and asymmetric cryptography

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A multimodal data-driven ensemble deep reinforcement learning model for automated cryptocurrency trading

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Kolmogorov–Arnold network prediction of wellhead choke liquid flow for energy-aware production

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Predicting bankruptcy risk with bidirectional long short-term memory and convolutional neural networks

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Artificial Intelligence and Machine Learning Techniques in Financial Forecasting

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Automated algorithmic trading : machine learning and agent-based modelling in complex adaptive financial markets

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Predicting equity market price impact with performance weighted ensembles of random forests

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Performance-weighted ensembles of random forests for predicting price impact

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Intelligent trading of seasonal effects: A decision support algorithm based on reinforcement learning

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Automated trading with boosting and expert weighting

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