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 (+1303.45%)
AlgobotA C++ stock market algorithmic trading bot
Stars: ✭ 78 (+168.97%)
Ta RsTechnical analysis library for Rust language
Stars: ✭ 248 (+755.17%)
Pandas TaTechnical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Stars: ✭ 962 (+3217.24%)
Beibo🤖 Predict the stock market with AI 用AI预测股票市场
Stars: ✭ 46 (+58.62%)
Screeni-pyA Python-based stock screener to find stocks with potential breakout probability from NSE India.
Stars: ✭ 161 (+455.17%)
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 (+248.28%)
Fooltraderquant framework for stock
Stars: ✭ 960 (+3210.34%)
tunetaIntelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Stars: ✭ 77 (+165.52%)
StocksightStock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Stars: ✭ 1,037 (+3475.86%)
stocktwits-sentimentStocktwits market sentiment analysis in Python with Keras and TensorFlow.
Stars: ✭ 23 (-20.69%)
Gekko StrategiesStrategies to Gekko trading bot with backtests results and some useful tools.
Stars: ✭ 1,022 (+3424.14%)
TradeTheEventImplementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021
Stars: ✭ 64 (+120.69%)
TechanTechnical Analysis Library for Golang
Stars: ✭ 404 (+1293.1%)
ChaseAutomatic trading bot (WIP)
Stars: ✭ 73 (+151.72%)
TechnicalindicatorsA javascript technical indicators written in typescript with pattern recognition right in the browser
Stars: ✭ 1,328 (+4479.31%)
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 (-13.79%)
Stock analysis for quantDifferent Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
Stars: ✭ 525 (+1710.34%)
Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stars: ✭ 4,660 (+15968.97%)
Zvtmodular quant framework.
Stars: ✭ 1,801 (+6110.34%)
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 (+286.21%)
FAIGFully Automated IG Trading
Stars: ✭ 134 (+362.07%)
Stock.indicatorsStock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.
Stars: ✭ 157 (+441.38%)
TrendywaysSimple javascript library containing methods for financial technical analysis
Stars: ✭ 121 (+317.24%)
TradestationEasyLanguage indicators and systems for TradeStation
Stars: ✭ 65 (+124.14%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (+434.48%)
hmm market behaviorUnsupervised Learning to Market Behavior Forecasting Example
Stars: ✭ 36 (+24.14%)
MarketCycles.jlDigital Signal Processing Indicators For Market Data.
Stars: ✭ 26 (-10.34%)
IQFeed.CSharpApiClientIQFeed.CSharpApiClient is fastest and the most well-designed C# DTN IQFeed socket API connector available
Stars: ✭ 103 (+255.17%)
plutus-algo-backtestingAlgorithmic Trading : A python framework to run backtest on stocks using your own custom algorithmic strategies
Stars: ✭ 28 (-3.45%)
B3ProviderB3Provider is static and market data feeder for instruments traded at B3 Stock Exchange (former Bm&F Bovespa) Brazil.
Stars: ✭ 28 (-3.45%)
NSEDownloadPython Library to get historical, adjusted data and generate trailing returns of stocks and indices on the NSE
Stars: ✭ 65 (+124.14%)
finance-news-aggregatorA news aggregator in python, that focuses primarily on business and market news sources.
Stars: ✭ 59 (+103.45%)
pair-trading-viewPair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.
Stars: ✭ 45 (+55.17%)
pyEXPython interface to IEX and IEX cloud APIs
Stars: ✭ 407 (+1303.45%)
NSE-Stock-ScannerNational Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more
Stars: ✭ 78 (+168.97%)
zugbrueckeCalling routines in Windows DLLs from Python scripts running under Linux, MacOS or BSD
Stars: ✭ 82 (+182.76%)
tesla-stocks-predictionThe implementation of LSTM in TensorFlow used for the stock prediction.
Stars: ✭ 51 (+75.86%)
fundamentosDownload Bovespa Stock Market fundamentals with Python.
Stars: ✭ 80 (+175.86%)
OdinAlgorithmic trading infrastructure in Python.
Stars: ✭ 93 (+220.69%)
Stock-Market-PredictorStock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)
Stars: ✭ 28 (-3.45%)
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 (+0%)
capm shinyDemo project of creating an interactive analytical tool for stock market using CAPM.
Stars: ✭ 31 (+6.9%)
support resistanceSmall package that helps to find support and resistance levels and plot them on chart
Stars: ✭ 263 (+806.9%)
SharkStockAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …
Stars: ✭ 63 (+117.24%)
alpha-vantage-cliCommand line tool and API for retrieving stock market data from Alpha Vantage
Stars: ✭ 33 (+13.79%)
SwiftYFinanceThe best Yahoo Finance library with the power of Swift
Stars: ✭ 30 (+3.45%)
market-monitorInteractive app to monitor market using Python
Stars: ✭ 20 (-31.03%)