This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. MASTER is a stock transformer for stock price for…

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

[EAAI] The official repo for the paper: "A Lightweight Multi-Head Attention Transformer for Stock Price Forecasting".

Examples for OCaml libraries, prior to upstreaming

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Stock Price Prediction using ARIMA

Building Low Latency Applications with CPP by Packt Publishing

Code and datasets for the Graph Evolution Recurrent Unit in our paper "Learning Dynamic Dependencies with Graph Evolution Recurrent Unit for Stock Predictions."

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

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A multi-stage graph neural network classification pipeline for protein meshes.

A curated collection of awesome OCaml tools, frameworks, libraries and articles.

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Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.

Translation project for Obinslab Starter

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

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