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Algorithmic Trading

An algorithmic trading system is a software that is used for trading in the stock market.

Papers

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Showing 76–95 of 95 papers

TitleStatusHype
A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment—0
A Deep Reinforcement Learning Approach for Trading Optimization in the Forex Market with Multi-Agent Asynchronous Distribution—0
Advancing Algorithmic Trading: A Multi-Technique Enhancement of Deep Q-Network Models—0
Adversarial Attacks on Deep Algorithmic Trading Policies—0
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading—0
Algorithmic and High-Frequency Trading Problems for Semi-Markov and Hawkes Jump-Diffusion Models—0
Algorithmic Aspects of Strategic Trading—0
Algorithmic trading in a microstructural limit order book model—0
Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning—0
Algorithmic Trading with Fitted Q Iteration and Heston Model—0
A Modern Paradigm for Algorithmic Trading—0
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model—0
A new approach to learning in Dynamic Bayesian Networks (DBNs)—0
An instantaneous market volatility estimation—0
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm—0
An Intrinsic Entropy Model for Exchange-Traded Securities—0
An overall view of key problems in algorithmic trading and recent progress—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
A Stochastic LQR Model for Child Order Placement in Algorithmic Trading—0
INTAGS: Interactive Agent-Guided Simulation—0
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