ImperialNLP / stockreturnpredLinks
Multi-view learning approaches for stock return prediction with tweets.
☆10Updated 5 years ago
Alternatives and similar repositories for stockreturnpred
Users that are interested in stockreturnpred are comparing it to the libraries listed below
Sorting:
- The NLP News Sentiment Factor Trading Strategy for a Portfolio of S&P 500 Stocks☆12Updated 5 years ago
- This repository contains solution for prediction of stock price returns☆14Updated 6 years ago
- ☆10Updated 6 years ago
- This repository contains dataset for paper FedNLP: An interpretable NLP System to Decode Federal Reserve Communications, published in SIG…☆14Updated last year
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Updated 4 years ago
- ☆18Updated 3 years ago
- ☆10Updated 4 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Updated 5 years ago
- 这个项目使用tushare中所有的财经快讯新闻（2018年至今）训练了tfhub中预训练模型bert-base-chinese模型，使之更加符合中文的财经新闻语境。☆12Updated 3 years ago
- Package for extracting emotions from social media text. Tailored for financial data.☆21Updated last year
- We apply from rule-based approach to BERT for a sentiment analysis task on financial texts.☆14Updated 3 years ago
- ☆20Updated 4 years ago
- MV Port is a Python package to perform Mean-Variance Analysis. It provides a Portfolio class with a variety of methods to help on your po…☆11Updated 3 months ago
- ☆18Updated 6 years ago
- Second coursework & case from Sber Data Science competition. Links to scientific papers to which I will refer will be here.☆13Updated 4 years ago
- Model news data in short, medium and long term for stock price trend prediction☆20Updated 7 years ago
- TweetFinSent: A Dataset of Stock Sentiments on Twitter☆13Updated 3 years ago
- A modification of traditional random forest for time-series forecasting☆12Updated last year
- https://www.kaggle.com/c/m5-forecasting-accuracy/overview/☆12Updated 5 years ago
- This project would demonstrate the following capabilities: 1. Extraction Loading and Transformation of S&P 500 data and company fundament…☆13Updated 4 years ago
- LGBM☆16Updated 4 years ago
- A library of techniques for local interpretation of machine learning models☆10Updated 2 years ago
- Stock sentiment analyzer in Python☆12Updated 4 years ago
- data and code for coling2018 paper☆22Updated 3 years ago
- Linear regression modelling of the Ames housing dataset, with the goal of predicting the house sale price, as published in Towards Data S…☆10Updated 2 months ago
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Updated 4 years ago
- ☆22Updated 3 years ago
- Winning Solution for the M5 Competition for Uncertainty Forecasting☆10Updated 2 years ago
- This module is a simple trading system. I will compelete it gradually☆11Updated 3 years ago
- This notebook provides some skills to perform financial analysis on economical data.☆27Updated 3 years ago