Shanlearning / SP-500-Stock-PredictionLinks
☆18Updated 3 years ago
Alternatives and similar repositories for SP-500-Stock-Prediction
Users that are interested in SP-500-Stock-Prediction are comparing it to the libraries listed below
Sorting:
- Machine learning methods for identifing investment factors☆19Updated 4 years ago
- ☆20Updated 4 years ago
- This repository relates to the paper "Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Oppor…☆22Updated 4 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆58Updated 4 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Updated 5 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆34Updated 11 months 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
- ☆14Updated 5 years ago
- Python implementation of the Three Pass Regression Filter☆14Updated 5 years ago
- Multi Task Learning Time Series Momentum☆24Updated last year
- Markov decision processes under model uncertainty☆17Updated 3 years ago
- Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021☆27Updated 4 years ago
- ☆16Updated 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 …☆17Updated 6 years ago
- ☆54Updated 3 years ago
- A repository for machine learning based investment strategies☆28Updated 6 years ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆24Updated 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
- Alpha Generation using Data Science and Quantitative Analysis with integrated Risk Model☆54Updated 5 years ago
- 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
- ☆77Updated 3 years ago
- Open code for PriceGraph☆73Updated last year
- Stock sentiment analyzer in Python☆12Updated 4 years ago
- This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive i…☆48Updated 2 years ago
- Stock Price Prediction☆20Updated last year
- 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☆13Updated last year
- ☆20Updated 9 years ago
- Inference model for stock prediction using Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting☆14Updated 2 years ago
- A dataset of financial news is used to fine-tune BERT in order to extract investment opportunities.☆27Updated 4 years ago
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆27Updated 5 years ago