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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 1–50 of 95 papers

TitleStatusHype
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting—0
ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order BooksCode1
Deep Learning Models Meet Financial Data Modalities—0
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model—0
Entropy-Assisted Quality Pattern Identification in Finance—0
Large language models in finance : what is financial sentiment?—0
Algorithmic Aspects of Strategic Trading—0
FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data—0
A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment—0
A Modern Paradigm for Algorithmic Trading—0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting—0
Generalized Mean Absolute Directional Loss as a Solution to Overfitting and High Transaction Costs in Machine Learning Models Used in High-Frequency Algorithmic Investment Strategies—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
Turnover of investment portfolio via covariance matrix of returns—0
Calculating Profits and Losses for Algorithmic Trading Strategies: A Short Guide—0
Composing Ensembles of Instrument-Model Pairs for Optimizing Profitability in Algorithmic Trading—0
Enhancing literature review with LLM and NLP methods. Algorithmic trading case—0
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning—0
Algorithmic and High-Frequency Trading Problems for Semi-Markov and Hawkes Jump-Diffusion Models—0
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural NetworksCode1
Reinforcement Learning Pair Trading: A Dynamic Scaling approachCode1
A Comprehensive Analysis of Machine Learning Models for Algorithmic Trading of Bitcoin—0
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency TradingCode2
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading—0
A Deep Reinforcement Learning Approach for Trading Optimization in the Forex Market with Multi-Agent Asynchronous Distribution—0
Portfolio Management using Deep Reinforcement Learning—0
Detecting and Triaging Spoofing using Temporal Convolutional Networks—0
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications—0
Limit Order Book Simulations: A Review—0
Blockchain Metrics and Indicators in Cryptocurrency Trading—0
ESG driven pairs algorithm for sustainable trading: Analysis from the Indian market—0
Predicting risk/reward ratio in financial markets for asset management using machine learning—0
Advancing Algorithmic Trading: A Multi-Technique Enhancement of Deep Q-Network Models—0
Stock Market Directional Bias Prediction Using ML Algorithms—0
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading—0
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency TradingCode1
Sizing Strategies for Algorithmic Trading in Volatile Markets: A Study of Backtesting and Risk Mitigation Analysis—0
INTAGS: Interactive Agent-Guided Simulation—0
Commodities Trading through Deep Policy Gradient Methods—0
FinGPT: Democratizing Internet-scale Data for Financial Large Language ModelsCode0
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading—0
Decomposing cryptocurrency high-frequency price dynamics into recurring and noisy components—0
FinGPT: Open-Source Financial Large Language ModelsCode6
Model Based Reinforcement Learning with Non-Gaussian Environment Dynamics and its Application to Portfolio Optimization—0
Stock Trading Volume Prediction with Dual-Process Meta-LearningCode1
Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning—0
Model-based gym environments for limit order book tradingCode1
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest OverfittingCode1
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm—0
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