Cover Image

Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Zhuohuan, Yu, Richard, Zhang, Zizhou, Zheng, Haoran, Liu, Qianying, Zhou, Yining
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Statistical Finance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
by: Tumpa, Shamima Nasrin, et al.
Published: (2024)

Beyond Trading Data: The Hidden Influence of Public Awareness and Interest on Cryptocurrency Volatility
by: Boukhers, Zeyd, et al.
Published: (2022)

Regression and Forecasting of U.S. Stock Returns Based on LSTM
by: Zhou, Shicheng, et al.
Published: (2025)

Finance-Grounded Optimization For Algorithmic Trading
by: Khubiev, Kasymkhan, et al.
Published: (2025)

Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
by: Puoti, Francesco, et al.
Published: (2025)

Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression
by: Giffary, Novan Fauzi Al, et al.
Published: (2024)

Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning
by: Fan, Yuxin, et al.
Published: (2024)

Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data
by: Gurgul, Vincent, et al.
Published: (2023)

Forecasting Cryptocurrency Staking Rewards
by: Gupta, Sauren, et al.
Published: (2024)

Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)

The GT-Score: A Robust Objective Function for Reducing Overfitting in Data-Driven Trading Strategies
by: Sheppert, Alexander
Published: (2026)

CNN-DRL for Scalable Actions in Finance
by: Montazeri, Sina, et al.
Published: (2024)

Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies
by: Dave, Daksh, et al.
Published: (2025)

Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold Networks
by: Genet, Remi
Published: (2025)

MarketGANs: Multivariate financial time-series data augmentation using generative adversarial networks
by: Huh, Jeonggyu, et al.
Published: (2026)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)

Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts
by: Dudek, Grzegorz, et al.
Published: (2025)

Achilles, Neural Network to Predict the Gold Vs US Dollar Integration with Trading Bot for Automatic Trading
by: Varela, Angel
Published: (2024)

A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
by: Pei, Zhiyuan, et al.
Published: (2024)

Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships
by: Amirzadeh, Rasoul, et al.
Published: (2023)

International Trade Flow Prediction with Bilateral Trade Provisions
by: Pan, Zijie, et al.
Published: (2024)

CTBench: Cryptocurrency Time Series Generation Benchmark
by: Ang, Yihao, et al.
Published: (2025)

Beyond Visual Realism: Toward Reliable Financial Time Series Generation
by: Zhang, Fan, et al.
Published: (2026)

Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain
by: Zhang, Zizhou, et al.
Published: (2025)

Identifying Trades Using Technical Analysis and ML/DL Models
by: Shah, Aayush, et al.
Published: (2023)

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)

STRAPSim: A Portfolio Similarity Metric for ETF Alignment and Portfolio Trades
by: Li, Mingshu, et al.
Published: (2025)

Applying News and Media Sentiment Analysis for Generating Forex Trading Signals
by: Olaiyapo, Oluwafemi F
Published: (2024)

Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks
by: Amirzadeh, Rasoul, et al.
Published: (2023)

Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading
by: Ntakaris, Adamantios, et al.
Published: (2024)

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks
by: Ntakaris, Adamantios, et al.
Published: (2024)

A Framework for Predictive Directional Trading Based on Volatility and Causal Inference
by: Letteri, Ivan
Published: (2025)

A K-means Algorithm for Financial Market Risk Forecasting
by: Xu, Jinxin, et al.
Published: (2024)

Robust Graph Neural Networks for Stability Analysis in Dynamic Networks
by: Zhang, Xin, et al.
Published: (2024)

FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
by: Iacovides, Giorgos, et al.
Published: (2025)

Blockchain Metrics and Indicators in Cryptocurrency Trading
by: King, Juan C., et al.
Published: (2024)

Pump and Dumps in the Bitcoin Era: Real Time Detection of Cryptocurrency Market Manipulations
by: La Morgia, Massimo, et al.
Published: (2020)

Policy-Controlled Generalized Share: A General Framework with a Transformer Instantiation for Strictly Online Switching-Oracle Tracking
by: Hu, Hongkai
Published: (2026)

Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach
by: Mengara, Orson
Published: (2024)

Classification-Based Analysis of Price Pattern Differences Between Cryptocurrencies and Stocks
by: Zhang, Yu, et al.
Published: (2025)