21 skills found
business-science / TidyquantBringing financial analysis to the tidyverse
joshuaulrich / QuantmodQuantitative Financial Modelling Framework
jackluo / Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
pmaji / Financial Asset Comparison ToolR Shiny app to compare the relative performance of cryptos and equities.
tamilselvanarjun / QuantmodelsQuantmodels is a Python package that provides implementations of various financial models commonly used in finance and investment analysis.
palencar / TraderBotNo description available
niki864 / Simple Stock Predictor Xgboost Knn Stock prediction using xgboost and knn classification done in R
amunategui / Quantmod WallstreetSee how easy it is to download, visualize, manipulate stock market data with the <b>Quantmod</b> library and use all of it to build a complex trading model.
LastAncientOne / SimpleStockAnalysisRTutor step-by-step on how to analyze stock data using the R language.
cran / Quantmod:exclamation: This is a read-only mirror of the CRAN R package repository. quantmod — Quantitative Financial Modelling Framework. Homepage: https://www.quantmod.com/, https://github.com/joshuaulrich/quantmod Report bugs for this package: https://github.com/joshuaulrich/quantmod/issues
f-z / Financial ModellingFinancial modelling, derivatives, investments
chicago-joe / Gold Futures Algorithmic Trading System In RNo description available
gsee / Qmaomirror of qmao on R-Forge; quantmod add-on: some quantmod-like functions
R-Finance / QuantmodNo description available
bilakhiaricky / Stock Price PredictionApplied back propagation Neural Network models to predict the daily S&P500 Exchange Composite Index. Constructed learning algorithm and gradient search technique in the models. Evaluated the prediction models. Used past data form stock exchange to predict stocks and the potential increase or decrease of a company’s stock prices. Technology used: Language: R Software: R Studio, Shiny R Packages used: tseries, quantmod, neuralnet.
Jsong1836 / Composite Stress IndexThis index was calculated by following the general method of the European Central Bank's Composite index of systemic stress index available on European Central bank's statistical warehouse as CISS. Data import process is automatized by "Quantmod" and "Qunadl" where there are three main data sources (Fred, Yahoo, Quandl). Since these data sources are free, this function can be used with different source of financial stress that users think more efficient in order to capture financial stress. The main difference from the ECB's calculation, this index includes commodity market as a source of financial stress.
macduff / QuantmodMirror of the quantmod R package repository
DeepanNarayanaMoorthy / GS Stock Market Time Series AnalysisThis is an Analysis on Goldman Sachs Group Inc Stock Market Time Series featuring Prices starting from 2016 to present date, Written in R Language
Jeffalltogether / RFinanceStock Analysis in R Using Quantmod and Statistical Learning
palencar / BovespaIDFetch public intraday data from Bovespa Stocks and converts into OHLC xts time series to use with quantmod in R
