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Algorithmic Trading
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An algorithmic trading system is a software that is used for trading in the stock market.
논문
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ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order Books
Deep Learning Models Meet Financial Data Modalities
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
Entropy-Assisted Quality Pattern Identification in Finance
Large language models in finance : what is financial sentiment?
Algorithmic Aspects of Strategic Trading
FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data
A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment
A Modern Paradigm for Algorithmic Trading
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
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
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading
Turnover of investment portfolio via covariance matrix of returns
Calculating Profits and Losses for Algorithmic Trading Strategies: A Short Guide
Composing Ensembles of Instrument-Model Pairs for Optimizing Profitability in Algorithmic Trading
Enhancing literature review with LLM and NLP methods. Algorithmic trading case
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning
Algorithmic and High-Frequency Trading Problems for Semi-Markov and Hawkes Jump-Diffusion Models
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks
Reinforcement Learning Pair Trading: A Dynamic Scaling approach
A Comprehensive Analysis of Machine Learning Models for Algorithmic Trading of Bitcoin
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading
A Deep Reinforcement Learning Approach for Trading Optimization in the Forex Market with Multi-Agent Asynchronous Distribution
Portfolio Management using Deep Reinforcement Learning
Detecting and Triaging Spoofing using Temporal Convolutional Networks
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications
Limit Order Book Simulations: A Review
Blockchain Metrics and Indicators in Cryptocurrency Trading
ESG driven pairs algorithm for sustainable trading: Analysis from the Indian market
Predicting risk/reward ratio in financial markets for asset management using machine learning
Advancing Algorithmic Trading: A Multi-Technique Enhancement of Deep Q-Network Models
Stock Market Directional Bias Prediction Using ML Algorithms
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.