nicklamonica / stock-sentiment-analysisLinks
Stock sentiment analyzer in Python
☆12Updated 4 years ago
Alternatives and similar repositories for stock-sentiment-analysis
Users that are interested in stock-sentiment-analysis are comparing it to the libraries listed below
Sorting:
- ☆18Updated 3 years ago
- The NLP News Sentiment Factor Trading Strategy for a Portfolio of S&P 500 Stocks☆12Updated 5 years ago
- Inference model for stock prediction using Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting☆14Updated 2 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆23Updated 5 years ago
- Markov decision processes under model uncertainty☆17Updated 3 years ago
- This repository contains solution for prediction of stock price returns☆14Updated 6 years ago
- Python implementation of the Three Pass Regression Filter☆14Updated 5 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Updated 5 years ago
- Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"☆12Updated 2 years ago
- Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021☆27Updated 4 years ago
- ☆20Updated 4 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆33Updated last year
- 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
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆26Updated 5 years ago
- ☆16Updated 4 years ago
- ML model for stock trend prediction using Python☆30Updated 5 years ago
- ☆11Updated 3 months ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆29Updated 6 years ago
- Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'☆11Updated 4 years ago
- Machine learning methods for identifing investment factors☆19Updated 4 years ago
- Stock Price Prediction☆20Updated last year
- The project is about predicting the stock market movement based on the news headlines that published on a particular day. The news data …☆15Updated 7 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 …☆17Updated 6 years ago
- Unofficial PyTorch implementation of FactorVAE☆21Updated 2 years ago
- select stock automatically, trade manually☆12Updated 5 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆33Updated 6 years ago
- ☆76Updated 5 years ago
- Testing trading signals of commodity futures☆17Updated 5 years ago
- Mean-Variance Optimization using DL (pytorch)☆32Updated 3 years ago
- Plotting the Efficient Frontier in Python. Inspired by Markowitz Modern Portfolio Theory.☆18Updated 4 years ago