A deep learning-based cryptocurrency price prediction model that uses on-chain data

G Kim, DH Shin, JG Choi, S Lim - IEEE Access, 2022 - ieeexplore.ieee.org
Cryptocurrency has recently attracted substantial interest from investors due to its underlying
philosophy of decentralization and transparency. Considering cryptocurrency's volatility and …

Identifying the Head-and-Shoulders Pattern Using Financial Key Points and Its Application in Consumer Electronic Stocks

X Ma, F Zheng, D Tang - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
This paper constructs a new time series segmentation method using the financial
implications of the head-and-shoulders pattern (HS), effectively overcoming the limitations of …

Real-time public mood tracking of chinese microblog streams with complex event processing

S Shi, D Jin, G Tiong-Thye - Ieee Access, 2016 - ieeexplore.ieee.org
There are not many real-time public mood tracking frameworks over social media streams at
present. Real-time public mood tracking over microblogs becomes necessary for further …

Pattern Recognition and Prediction in Time Series Data Through Retrieval-Augmented Techniques

N Singh, A Swetapadma - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Time series forecasting is an essential technique used in various domains, with finance
being one of the primary users. There are several techniques for time series forecasting, with …

GeniBux-event based intelligent Forex trading strategy enhancer

S Roledene, L Ariyathilaka, N Liyanage… - … on Information and …, 2016 - ieeexplore.ieee.org
The Foreign Currency Exchange market (Forex) is the largest financial market in the world
with the highest daily trading volume. A highly volatile complex behavior is seen during the …

Evolutionary meta reinforcement learning for portfolio optimization

MH Ha, S Chi, S Lee, Y Cha, M Byung-Ro - Proceedings of the Genetic …, 2021 - dl.acm.org
Portfolio optimization is a control problem whose objective is to find the optimal strategy for
the process of selecting the proportions of assets that can provide the maximum return …

A genetic algorithm for rule-based chart pattern search in stock market prices

MH Ha, S Lee, BR Moon - Proceedings of the Genetic and Evolutionary …, 2016 - dl.acm.org
Chart pattern analysis uses knowledge extracted from graphical information of price
movements. There are two representative types of problems in chart pattern analysis: the …

Deep Q-Network Based Reinforcement Learning for Bitcoin Future Price Prediction

MS Devi, JA Pandian, D Umanandhini… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Bitcoin is the very first decentralized digital money in the entire world. Bitcoin is exceptionally
reliable since it uses a block chain instead of a service provider like a banking institution. As …

Linear Regression Approach For Stock Chart Pattern Recognition

A Tripathi, J Mathure, S Deotarse, D Rai… - 2023 5th Biennial …, 2023 - ieeexplore.ieee.org
Finding stock chart patterns, like channels, triangles, head and shoulders, etc., in high-
dimensional stock data is arduous. Technical analysis experts can visualize these patterns …

Adaptive detection of FOREX repetitive chart patterns

YL Yong, Y Lee, DCL Ngo - Pattern Analysis and Applications, 2020 - Springer
The global financial ecosystem has evolved and matured along with the ever-changing
world economy that grew increasingly complicated due to globalisation. As traders are often …