Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"
☆13Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for MAN-SF
Users that are interested in MAN-SF are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆22Jul 19, 2022Updated 3 years ago
- Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks☆55Apr 24, 2022Updated 4 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Jul 11, 2021Updated 4 years ago
- This is the repository for the collection of Graph Neural Network for Financial Technology.☆28Jan 4, 2022Updated 4 years ago
- Source code for Deep Partial Least Squares for Empirical Asset Pricing.☆15Jun 22, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆16Sep 5, 2020Updated 5 years ago
- A curated list of time series prediction resources.☆54Dec 4, 2021Updated 4 years ago
- Stock movement prediction using BERT and GPT-2 based on tweets related to the stocks☆13Jun 24, 2022Updated 3 years ago
- Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.☆36Aug 25, 2020Updated 5 years ago
- This is the project for deep learning in stock market prediction.☆232Dec 23, 2024Updated last year
- Toolbox for "A Solution Method for Continuous-Time General Equilibrium Models"☆10Sep 20, 2021Updated 4 years ago
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆136Apr 20, 2022Updated 4 years ago
- Creating a graph that summarizes correlations between stocks and using a Graph Neural Network to encode that information to be utilized i…☆18May 19, 2023Updated 3 years ago
- ANN-based Expectations Algorithm applied to the Neoclassical Investment Model☆10Mar 15, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The code for network autoregression model (NAR)☆10May 12, 2016Updated 10 years ago
- 计算中国偏度指数(CBOE skew index )☆15May 23, 2021Updated 5 years ago
- ☆23Jun 21, 2024Updated last year
- Code for DID chapter☆11May 30, 2023Updated 2 years ago
- Scalable implementation of Lee / Mykland (2012), Ait-Sahalia / Jacod (2012) and Ait-Sahalia / Jacod / Li (2012) Jump tests for noisy hig…☆13Jan 21, 2022Updated 4 years ago
- ☆10Jul 29, 2020Updated 5 years ago
- Quantile Local Projections☆12Aug 8, 2022Updated 3 years ago
- Matlab code for"Functional Approximation of Impulse Responses" with Regis Barnichon, Journal of Monetary Economics, forthcoming☆15Dec 21, 2021Updated 4 years ago
- Model and replications scripts for the 2020 IMF Working Paper "Foreign Exchange Interventions Rules for Central Banks: A Risk-Based Frame…☆10Apr 20, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for the paper "FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024"☆13Feb 14, 2025Updated last year
- Solves and simulates the Hugget JECD (1993) Economy☆12Nov 29, 2021Updated 4 years ago
- Uses TDA API in order to scrape data for implied volatility as well as option greeks.☆13Oct 4, 2024Updated last year
- ☆12May 20, 2023Updated 3 years ago
- Data and code for the paper "Co-citation and Co-authorhship Networks of Statisticians" (https://www.tandfonline.com/doi/full/10.1080/0735…☆14Apr 24, 2022Updated 4 years ago
- A Toolkit for Computing Constrained Optimal Policy Projections☆17Aug 1, 2022Updated 3 years ago
- This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive i…☆50Sep 18, 2023Updated 2 years ago
- R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.☆13May 2, 2024Updated 2 years ago
- A PhD course in Applied Econometrics and Panel Data☆10Apr 9, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Matlab code for Chebyshev interpolation, including Smolyak algorithm☆16Dec 9, 2014Updated 11 years ago
- This repository contains the codes for the paper "Machine-Learning-enhanced Systemic Risk Measure: A Two-Step Supervised Learning Approac…☆13Jul 18, 2022Updated 3 years ago
- Slides for teaching numerical methods in quantitative macroeconomics☆12Mar 8, 2022Updated 4 years ago
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆17Feb 24, 2019Updated 7 years ago
- ☆10Mar 22, 2021Updated 5 years ago
- A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥☆12Mar 13, 2023Updated 3 years ago
- It is a project that conducts a study on predicting the cross section of Chinese stock market returns with a large panel of 75 individual…☆34Jun 19, 2021Updated 4 years ago