![]() Must have the same number of rows and row.names (or date fields), Note that a mutation can occur if, and only if, the mutation has the # symbol date open high low close volume adjusted MACD Signal Because of the breadth of thisĪnalysis with tidyquant for a tutorial on these functions.įANG %>% group_by(symbol) %>% tq_mutate( select = close, mutate_fun = MACD, col_rename = c( "MACD", "Signal")) # A tibble: 4,032 x 10 PerformanceAnalytics integration enables analyzing Portfolio aggregation, tq_portfolio(): The Performance analysis, tq_performance(), and These workhorse functions integrate the xts, Tq_mutate(), Quantitative Data: Perform and scaleįinancial calculations completely within the tidyverse. One-stop shop to get data from various web-sources. Indexes and three exchanges are available. Get a Stock Index, tq_index(), or a StockĮxchange, tq_exchange(): Returns the stock symbolsĪnd various attributes for every stock in an index or exchange. User needs to learn to perform the vast majority of financial analysis ![]() Few functions means less of a learning curveįor the user, which is why there are only a handful of functions the The tidyquant package has a core functions withĪ lot of power.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |