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bittensor-tsps

Prediction subnet built on Bittensor

cnn-bilstm

This repository contains stock datasets of Microsoft (MSFT), NVIDIA (NVDA), and Apple (AAPL). It also includes the source code of our Hybrid Deep Learning model (CNN-BiLSTM) with the implementation of Time Delay Embedding technique.

cnn-bilstm-gru

This repository contains stock datasets of Target (TGT), Amazon (AMZN), and Walmart (WMT). It also includes the source code of our Hybrid Deep Learning model (CNN-BiLSTM-GRU) with the implementation of Phase Space Reconstruction technique.

featureengineering-bilstm

This repository contains stock datasets of Apple (AAPL), Amazon (AMZN), and Microsoft (MSFT). Data is segmented into "Raw" datasets (with basic OHLCV features) and "Enhanced" datasets (with additional technical/engineered features). It also includes the source code of our BiLSTM model and its alternative for comparative purposes.

lightweight-transformer

A lightweight but efficient Transformer model for accurate univariate stock price forecasting, designed for real-time trading applications. This project transforms the vanilla Transformer architecture for higher-precision financial time series analysis with minimal computational demands.

lstm

This repository contains stock datasets of International Business Machine (IBM), CISCO (CSCO), and Intel (INTC). It also includes the source code of our Deep Learning model.

psr-node

This study introduces the innovative Neural Ordinary Differential Equations (NODE) model tailored for stock price forecasting, utilizing continuous data interpretation for handling irregular time series efficiently. Empirical evidence showcases NODE's superiority, achieving over 76% reduction in MAE and RMSE metrics compared to baseline models, dem

thequantscientist

Config files for my GitHub profile.