Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stars: ✭ 4,660 (+12844.44%)
hmm market behaviorUnsupervised Learning to Market Behavior Forecasting Example
Stars: ✭ 36 (+0%)
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 (+1030.56%)
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 (+180.56%)
AlgobotA C++ stock market algorithmic trading bot
Stars: ✭ 78 (+116.67%)
FAIGFully Automated IG Trading
Stars: ✭ 134 (+272.22%)
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 (+211.11%)
stocktwits-sentimentStocktwits market sentiment analysis in Python with Keras and TensorFlow.
Stars: ✭ 23 (-36.11%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (+330.56%)
ChaseAutomatic trading bot (WIP)
Stars: ✭ 73 (+102.78%)
Beibo🤖 Predict the stock market with AI 用AI预测股票市场
Stars: ✭ 46 (+27.78%)
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 (-30.56%)
StocksightStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Stars: ✭ 1,037 (+2780.56%)
TradeTheEventImplementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021
Stars: ✭ 64 (+77.78%)
stoxA Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!
Stars: ✭ 29 (-19.44%)
alpha-vantage-cookbookJavaScript examples to help you with accessing market data from https://www.alphavantage.co/
Stars: ✭ 97 (+169.44%)
B3ProviderB3Provider is static and market data feeder for instruments traded at B3 Stock Exchange (former Bm&F Bovespa) Brazil.
Stars: ✭ 28 (-22.22%)
Twitter-moods-as-stock-price-predictors-on-NasdaqAn attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy
Stars: ✭ 20 (-44.44%)
Stock-Market-PredictorStock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)
Stars: ✭ 28 (-22.22%)
stockbotAlpaca algo stock trading bot
Stars: ✭ 105 (+191.67%)
alpha-vantage-cliCommand line tool and API for retrieving stock market data from Alpha Vantage
Stars: ✭ 33 (-8.33%)
SwiftYFinanceThe best Yahoo Finance library with the power of Swift
Stars: ✭ 30 (-16.67%)
qtrn⚠️ Deprecated, see https://github.com/piquette/qtrn ⚠️
Stars: ✭ 20 (-44.44%)
Automated-Fundamental-AnalysisPython program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.
Stars: ✭ 82 (+127.78%)
mftoolPython library for getting real-time Mutual Funds data in India
Stars: ✭ 76 (+111.11%)
Stock-AnalyzerApplication that calculates the key values from financial statements of publicly traded companies
Stars: ✭ 16 (-55.56%)
TerminalStocksPure terminal stock ticker for Windows.
Stars: ✭ 88 (+144.44%)
fhubPython client for Finnhub API
Stars: ✭ 31 (-13.89%)
Screeni-pyA Python-based stock screener to find stocks with potential breakout probability from NSE India.
Stars: ✭ 161 (+347.22%)
web trader📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.
Stars: ✭ 21 (-41.67%)
IQFeed.CSharpApiClientIQFeed.CSharpApiClient is fastest and the most well-designed C# DTN IQFeed socket API connector available
Stars: ✭ 103 (+186.11%)
NSEDownloadPython Library to get historical, adjusted data and generate trailing returns of stocks and indices on the NSE
Stars: ✭ 65 (+80.56%)
pyEXPython interface to IEX and IEX cloud APIs
Stars: ✭ 407 (+1030.56%)
StockScreenerA handy tool for screening stocks based on certain criteria from several markets around the world. The list can then be delivered to your email address (one-off or regularly via crontab).
Stars: ✭ 51 (+41.67%)
tesla-stocks-predictionThe implementation of LSTM in TensorFlow used for the stock prediction.
Stars: ✭ 51 (+41.67%)
fundamentosDownload Bovespa Stock Market fundamentals with Python.
Stars: ✭ 80 (+122.22%)
etf4u📊 Python tool to scrape real-time information about ETFs from the web and mixing them together by proportionally distributing their assets allocation
Stars: ✭ 29 (-19.44%)
support resistanceSmall package that helps to find support and resistance levels and plot them on chart
Stars: ✭ 263 (+630.56%)
TradeAlgoStock trading algorithm written in Python for TD Ameritrade.
Stars: ✭ 147 (+308.33%)
market-monitorInteractive app to monitor market using Python
Stars: ✭ 20 (-44.44%)
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 (-47.22%)
short-forkStock market helper: financial data, multipliers (PE, PS, PEG etc), insider selling, debt and short volume charts from various sources. All in one place!
Stars: ✭ 41 (+13.89%)
open-climate-investingApplication and data for analyzing and structuring portfolios for climate investing.
Stars: ✭ 20 (-44.44%)
StalkStockA virtual trading website to practice trading stocks using virtual money.
Stars: ✭ 22 (-38.89%)