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Algorithmic Trading

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

Papers

Showing 125 of 95 papers

TitleStatusHype
FinGPT: Open-Source Financial Large Language ModelsCode6
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading StrategiesCode2
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency TradingCode2
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
Stock Trading Volume Prediction with Dual-Process Meta-LearningCode1
Model-based gym environments for limit order book tradingCode1
Reinforcement Learning Pair Trading: A Dynamic Scaling approachCode1
Exploration of Algorithmic Trading Strategies for the Bitcoin MarketCode1
Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning ApproachCode1
Multi-Graph Tensor NetworksCode1
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic TradersCode1
Using Reinforcement Learning in the Algorithmic Trading ProblemCode1
An Application of Deep Reinforcement Learning to Algorithmic TradingCode1
A Modular Framework for Reinforcement Learning Optimal ExecutionCode1
AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural NetworksCode1
ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order BooksCode1
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest OverfittingCode1
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency TradingCode1
Rise of the Machines? Intraday High-Frequency Trading Patterns of CryptocurrenciesCode1
A Modern Paradigm for Algorithmic Trading0
Adversarial Attacks on Machine Learning Systems for High-Frequency Trading0
Algorithmic Trading with Fitted Q Iteration and Heston Model0
INTAGS: Interactive Agent-Guided Simulation0
A Stochastic LQR Model for Child Order Placement in Algorithmic Trading0
Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning0
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