LiteexchangeMy programming lab : multithreaded order matching engine in C++11 using FIX for order entry for Linux/Windows , no 3rd party libraries
Stars: ✭ 142 (-20.67%)
DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (+92.18%)
stock-pricesAnalyzing stock prices with Fortran arrays
Stars: ✭ 24 (-86.59%)
PykrakenapiA python implementation of the Kraken API.
Stars: ✭ 124 (-30.73%)
StashlineA long term personal finance planning timeline app for IOS
Stars: ✭ 61 (-65.92%)
AtspyAtsPy: Automated Time Series Models in Python (by @firmai)
Stars: ✭ 340 (+89.94%)
TradingbotAutonomous stocks trading script
Stars: ✭ 99 (-44.69%)
R actuarialEl objetivo de este repositorio es brindar un apoyo a la comunidad interesada en mejorar sus técnicas en el lenguaje de programación R o emprenderlo desde un punto de vista muy aplicado. Un repositorio con códigos de R para aplicaciones actuariales: probabilidad, estadística, riesgo y finanzas.
Stars: ✭ 25 (-86.03%)
AvanzaA JavaScript client for the unofficial Avanza API
Stars: ✭ 177 (-1.12%)
Penny-SeedPennySeed is an alternative crowdfunding platform where the funding goal is divided by the number of pledgers
Stars: ✭ 18 (-89.94%)
Tradier Options PlotterPython CLI tool for plotting options price history. Powered by Tradier's Sandbox API.
Stars: ✭ 24 (-86.59%)
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 (-43.58%)
ARCHModels.jlA Julia package for estimating ARMA-GARCH models.
Stars: ✭ 63 (-64.8%)
Scrapy Finance[OUTDATED] scrapy spiders to crawl the financial text data 📚 📜 pertinent to train word vectors 🚀
Stars: ✭ 17 (-90.5%)
stocklistStock data collection and analysis
Stars: ✭ 27 (-84.92%)
Revolut StocksA tax calculator for stocks and dividends activities.
Stars: ✭ 134 (-25.14%)
Awesome StreamlitThe purpose of this project is to share knowledge on how awesome Streamlit is and can be
Stars: ✭ 769 (+329.61%)
nordnetUonfficial wrapper for financial data api from the Scandinavian broker Nordnet
Stars: ✭ 13 (-92.74%)
tdameritradeclientA very simple api request client accessing TD Ameritrade API built in rust.
Stars: ✭ 33 (-81.56%)
Awesome QuantA curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Stars: ✭ 8,205 (+4483.8%)
BdgtBig finance tools in a small package
Stars: ✭ 159 (-11.17%)
tvdatafeedA simple TradingView historical Data Downloader
Stars: ✭ 189 (+5.59%)
Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Stars: ✭ 708 (+295.53%)
FinanceCenterFetching Financial Data (US/China)
Stars: ✭ 26 (-85.47%)
Reddit Sentiment AnalysisThis program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
Stars: ✭ 97 (-45.81%)
Xalpha基金投资管理回测引擎
Stars: ✭ 683 (+281.56%)
RtscliPython CLI Stocks Ticker + Portfolio Tracker
Stars: ✭ 61 (-65.92%)
Oanda Api V20OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!
Stars: ✭ 325 (+81.56%)
getbhavcopyFree NSE and BSE data downloader
Stars: ✭ 93 (-48.04%)
ArchARCH models in Python
Stars: ✭ 660 (+268.72%)
okamaInvestment portfolio and stocks analyzing tools for Python with free historical data
Stars: ✭ 87 (-51.4%)
Gym AnytradingThe most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Stars: ✭ 627 (+250.28%)
MKTExchange Price Service , Stocks , Cryptocurrency,Stock prediction and more
Stars: ✭ 27 (-84.92%)
BudgetGet a grip on your finances.
Stars: ✭ 609 (+240.22%)
PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Stars: ✭ 2,502 (+1297.77%)
Bobby boyПриложение для импорта трат с чеков в Drebedengi.ru
Stars: ✭ 60 (-66.48%)
AkshareAKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Stars: ✭ 4,334 (+2321.23%)
TechnicalindicatorsA javascript technical indicators written in typescript with pattern recognition right in the browser
Stars: ✭ 1,328 (+641.9%)
FinMeshA python package that brings together financial and economic data.
Stars: ✭ 20 (-88.83%)
Strata Open source analytics and market risk library from OpenGamma
Stars: ✭ 598 (+234.08%)
TraderBotNo description or website provided.
Stars: ✭ 39 (-78.21%)
Alice blueOfficial Python library for Alice Blue API trading
Stars: ✭ 60 (-66.48%)
Flutter CandlesticksElegant OHLC Candlestick and Trade Volume charts for @Flutter
Stars: ✭ 318 (+77.65%)
Riskparity.pyFast and scalable design of risk parity portfolios
Stars: ✭ 122 (-31.84%)
Stock Market Sentiment AnalysisIdentification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
Stars: ✭ 56 (-68.72%)
Alpha vantageA python wrapper for Alpha Vantage API for financial data.
Stars: ✭ 3,553 (+1884.92%)
FinanceA self hosted app to help you get a better understanding of your personal finances.
Stars: ✭ 313 (+74.86%)