Predicting Stock Prices using Permutation Decision Trees and Strategic Trailing
Fuente:
arXiv
Saved in:
| Main Authors: | Ramraj, Vishrut, Nagaraj, Nithin, B, Harikrishnan N |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Permutation Decision Trees
by: B, Harikrishnan N, et al.
Published: (2023)
by: B, Harikrishnan N, et al.
Published: (2023)
Causal Discovery and Classification Using Lempel-Ziv Complexity
by: Dhruthi, et al.
Published: (2024)
by: Dhruthi, et al.
Published: (2024)
Chaotic Map based Compression Approach to Classification
by: B, Harikrishnan N, et al.
Published: (2025)
by: B, Harikrishnan N, et al.
Published: (2025)
Dictionary Based Pattern Entropy for Causal Direction Discovery
by: B, Harikrishnan N, et al.
Published: (2026)
by: B, Harikrishnan N, et al.
Published: (2026)
Augmented Regression Models using Neurochaos Learning
by: Henry, Akhila, et al.
Published: (2025)
by: Henry, Akhila, et al.
Published: (2025)
Hyperparameter-Free Neurochaos Learning Algorithm for Classification
by: Henry, Akhila, et al.
Published: (2025)
by: Henry, Akhila, et al.
Published: (2025)
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru
by: Ghosh, Tanmay, et al.
Published: (2024)
by: Ghosh, Tanmay, et al.
Published: (2024)
Linked Data Classification using Neurochaos Learning
by: Honna, Pooja, et al.
Published: (2026)
by: Honna, Pooja, et al.
Published: (2026)
Deep Learning for Short-Term Precipitation Prediction in Four Major Indian Cities: A ConvLSTM Approach with Explainable AI
by: Ghosh, Tanmay, et al.
Published: (2025)
by: Ghosh, Tanmay, et al.
Published: (2025)
Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
by: Narendra, Nanjangud C., et al.
Published: (2025)
by: Narendra, Nanjangud C., et al.
Published: (2025)
Prediction of Stocks Index Price using Quantum GANs
by: Deshpande, Sangram, et al.
Published: (2025)
by: Deshpande, Sangram, et al.
Published: (2025)
Multimodal Stock Price Prediction
by: Karadaş, Furkan, et al.
Published: (2025)
by: Karadaş, Furkan, et al.
Published: (2025)
A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps
by: Naik, Parth, et al.
Published: (2025)
by: Naik, Parth, et al.
Published: (2025)
Random Heterogeneous Neurochaos Learning Architecture for Data Classification
by: S, Remya Ajai A, et al.
Published: (2024)
by: S, Remya Ajai A, et al.
Published: (2024)
Stock Market Price Prediction using Neural Prophet with Deep Neural Network
by: Chhibber, Navin, et al.
Published: (2026)
by: Chhibber, Navin, et al.
Published: (2026)
Contextual Quantum Neural Networks for Stock Price Prediction
by: Mourya, Sharan, et al.
Published: (2025)
by: Mourya, Sharan, et al.
Published: (2025)
Natural Language Processing and Multimodal Stock Price Prediction
by: Taylor, Kevin, et al.
Published: (2024)
by: Taylor, Kevin, et al.
Published: (2024)
Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)
by: Liao, Pei-Jun, et al.
Published: (2026)
Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
by: Shahbandari, Lida, et al.
Published: (2024)
by: Shahbandari, Lida, et al.
Published: (2024)
Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis
by: Vuong, An, et al.
Published: (2025)
by: Vuong, An, et al.
Published: (2025)
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
by: Xiao, Jue, et al.
Published: (2024)
by: Xiao, Jue, et al.
Published: (2024)
Regretful Decisions under Label Noise
by: Nagaraj, Sujay, et al.
Published: (2025)
by: Nagaraj, Sujay, et al.
Published: (2025)
PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction
by: Liang, Bohan, et al.
Published: (2025)
by: Liang, Bohan, et al.
Published: (2025)
Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysis
by: Gu, Wenjun, et al.
Published: (2024)
by: Gu, Wenjun, et al.
Published: (2024)
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data
by: Chakravorty, Amitabh, et al.
Published: (2025)
by: Chakravorty, Amitabh, et al.
Published: (2025)
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction
by: Mehrabian, Ali, et al.
Published: (2024)
by: Mehrabian, Ali, et al.
Published: (2024)
PPFS: Predictive Permutation Feature Selection
by: Hassan, Atif, et al.
Published: (2021)
by: Hassan, Atif, et al.
Published: (2021)
News Sentiment Embeddings for Stock Price Forecasting
by: Qayyum, Ayaan
Published: (2025)
by: Qayyum, Ayaan
Published: (2025)
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction
by: Jiang, Junzhe, et al.
Published: (2025)
by: Jiang, Junzhe, et al.
Published: (2025)
Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
by: Lee, Hyunwoo, et al.
Published: (2025)
by: Lee, Hyunwoo, et al.
Published: (2025)
Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach
by: Pardeshi, Karan, et al.
Published: (2023)
by: Pardeshi, Karan, et al.
Published: (2023)
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
by: Pei, Zhiyuan, et al.
Published: (2024)
by: Pei, Zhiyuan, et al.
Published: (2024)
MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
by: Ghosh, Sohom, et al.
Published: (2025)
by: Ghosh, Sohom, et al.
Published: (2025)
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
by: Sarkar, Anindya, et al.
Published: (2025)
by: Sarkar, Anindya, et al.
Published: (2025)
An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
by: Yang, Jiahao, et al.
Published: (2025)
by: Yang, Jiahao, et al.
Published: (2025)
Predicting Stock Price Movement as an Image Classification Problem
by: Steinbacher, Matej
Published: (2023)
by: Steinbacher, Matej
Published: (2023)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange
by: Lim, Brian Godwin, et al.
Published: (2025)
by: Lim, Brian Godwin, et al.
Published: (2025)
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)
Similar Items
-
Permutation Decision Trees
by: B, Harikrishnan N, et al.
Published: (2023) -
Causal Discovery and Classification Using Lempel-Ziv Complexity
by: Dhruthi, et al.
Published: (2024) -
Chaotic Map based Compression Approach to Classification
by: B, Harikrishnan N, et al.
Published: (2025) -
Dictionary Based Pattern Entropy for Causal Direction Discovery
by: B, Harikrishnan N, et al.
Published: (2026) -
Augmented Regression Models using Neurochaos Learning
by: Henry, Akhila, et al.
Published: (2025)