nicklamonica / stock-sentiment-analysis
Stock sentiment analyzer in Python
☆12Updated 3 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
- ☆19Updated 3 years ago
- LeonardoBerti00 / Data-Normalization-for-Bilinear-Structures-in-High-Frequency-Financial-Time-series-BiN-TABLPytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series☆10Updated 7 months ago
- Repository for "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series" accepted by AAAI…☆64Updated last year
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆65Updated 3 years ago
- Open code for PriceGraph☆70Updated 10 months ago
- Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021☆27Updated 3 years ago
- Pytorch implementation of deep learning models for financial time series forecasting using LOB☆15Updated last year
- 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 …☆15Updated 6 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆54Updated 4 years ago
- Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"☆12Updated last year
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Stock Price Prediction☆19Updated 6 months ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆37Updated 5 years ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆23Updated 4 years ago
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆25Updated 4 years ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆60Updated 4 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆31Updated 5 years ago
- ☆15Updated 3 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆53Updated 3 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Updated 4 years ago
- ☆37Updated 4 years ago
- ☆19Updated 4 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆28Updated last month
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆41Updated 3 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 …☆32Updated 10 months ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 5 years ago
- 基于机器学习的多因子研究框架☆14Updated 4 years ago
- Stock price prediction with LSTM adding sentiment analysis of some associated online news.☆16Updated 3 years ago