LorranSutter / PredictStock-SVMLinks
ML model for stock trend prediction using Python
☆30Updated 5 years ago
Alternatives and similar repositories for PredictStock-SVM
Users that are interested in PredictStock-SVM are comparing it to the libraries listed below
Sorting:
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆25Updated 5 years ago
- ☆19Updated 8 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆42Updated 6 years ago
- I use a LSTM ( long short term memory model) model to predict the fluctuations of VIX index ( the index of 50ETF options), and trade t…☆13Updated 6 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 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
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Updated 7 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
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆33Updated 6 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Inference model for stock prediction using Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting☆13Updated last year
- Using Python and Tushare financial database☆29Updated last year
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆24Updated 4 years ago
- ☆46Updated 3 years ago
- Stock risk premium prediction via FM/ EXT/ GBDT/ XGB/LBGM. Mengxuan Chen's graduation thesis at WHU.☆14Updated 5 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 3 years ago
- Hidden Markov Model (HMM) based stock forecasting☆104Updated 7 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 8 years ago
- Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model☆70Updated 6 years ago
- Multi Task Learning Time Series Momentum☆24Updated last year
- Mean Variance (Markowitz) Portfolio Optimization and Beyond☆63Updated last year
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 years ago
- 基于机器学习的多因子研究框架☆14Updated 5 years ago
- 多因子选股框架☆27Updated 4 years ago
- Codes for the paper 'Clustering Approaches for Global Minimum Variance Portfolio'☆22Updated 3 years ago
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- ☆41Updated 4 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 7 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆72Updated 4 years ago