TextFeatureSelectionPython library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
Stars: ✭ 42 (+110%)
funcatUsing very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.
Stars: ✭ 19 (-5%)
stoxA Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!
Stars: ✭ 29 (+45%)
Stock-Market-PredictorStock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)
Stars: ✭ 28 (+40%)
PythonPython
Stars: ✭ 22 (+10%)
SA-DLSentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
Stars: ✭ 35 (+75%)
hmm market behaviorUnsupervised Learning to Market Behavior Forecasting Example
Stars: ✭ 36 (+80%)
FAIGFully Automated IG Trading
Stars: ✭ 134 (+570%)
TradeTheEventImplementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021
Stars: ✭ 64 (+220%)
ChaseAutomatic trading bot (WIP)
Stars: ✭ 73 (+265%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (+675%)
StockpredictionPlain Stock Close-Price Prediction via Graves LSTM RNNs
Stars: ✭ 134 (+570%)
Stock PredictionSmart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Stars: ✭ 125 (+525%)
Stock Market Analysis And PredictionStock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Stars: ✭ 112 (+460%)
Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Stars: ✭ 101 (+405%)
Bitcoin Value Predictor[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
Stars: ✭ 91 (+355%)
Sci PypeA Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Stars: ✭ 90 (+350%)
GaussianprocessesPython3 project applying Gaussian process regression for forecasting stock trends
Stars: ✭ 78 (+290%)
Stock RnnPredict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Stars: ✭ 1,213 (+5965%)
AlgobotA C++ stock market algorithmic trading bot
Stars: ✭ 78 (+290%)
AialphaUse unsupervised and supervised learning to predict stocks
Stars: ✭ 1,191 (+5855%)
Twitter Stock RecommendationSimple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.
Stars: ✭ 73 (+265%)
Personae📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
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StocksightStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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Gekko StrategiesStrategies to Gekko trading bot with backtests results and some useful tools.
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Quant Finance ResourcesCourses, Articles and many more which can help beginners or professionals.
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Deep Convolution Stock Technical AnalysisUses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
Stars: ✭ 407 (+1935%)
Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stars: ✭ 4,660 (+23200%)
DeepdowPortfolio optimization with deep learning.
Stars: ✭ 297 (+1385%)
Trading BotStock Trading Bot using Deep Q-Learning
Stars: ✭ 273 (+1265%)
warrenWeb app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
Stars: ✭ 106 (+430%)
mlp stockStock price prediction using ensemble MLP in PyTorch.
Stars: ✭ 25 (+25%)
stocktwits-sentimentStocktwits market sentiment analysis in Python with Keras and TensorFlow.
Stars: ✭ 23 (+15%)
StewardA stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.
Stars: ✭ 25 (+25%)
Beibo🤖 Predict the stock market with AI 用AI预测股票市场
Stars: ✭ 46 (+130%)
hashformersHashformers is a framework for hashtag segmentation with transformers.
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