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While still early in development, the overarching goal is for the class to be able to slice \u0026 dice data with the rapid prototyping speed of [R](https://www.r-project.org/)'s [`xts`](https://github.com/joshuaulrich/xts) and [Python](https://www.python.org/)'s [`pandas`](http://pandas.pydata.org/) packages, while retaining the performance one expects from Julia.\n\n[See the documentation](http://dysonance.github.io/Temporal.jl/latest/) for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data.\n\nBelow is a brief teaser with a minimal use case illustrating a small subset of features. This example also makes use of the [Indicators.jl](https://github.com/dysonance/Indicators.jl) package, which provides a series of financial market technical analysis indicators with wrappers for the `Temporal.TS` type. Visualization is offered through the [Plots.jl](http://docs.juliaplots.org/latest/) package, which Temporal leverages through [RecipesBase.jl](https://github.com/JuliaPlots/RecipesBase.jl).\n\n```julia\nusing Temporal, Plots, Indicators\n\ncrude = quandl(\"CHRIS/CME_CL1\")\ngasoline = quandl(\"CHRIS/CME_RB1\")\n\nprices = [crude[\"2012/2019\", :Settle] gasoline[\"2012/2019\", :Settle]]\nprices.fields = [:Crude, :Gasoline]\nprices = dropnan(prices)\ndaily_returns = diff(log(prices))\ncumulative_returns = cumprod(1 + daily_returns)\n\nspread = cumulative_returns[:,1] - cumulative_returns[:,2]\nspread = [spread sma(spread, n=200)]\nspread.fields = Symbol.([\"Spread\", \"SMA (200)\"])\n\ngr()\nℓ = @layout[ a{0.7h}; b{0.3h} ]\nplot(cumulative_returns, c=[:black :purple], layout=ℓ, subplot=1)\nplot!(spread, c=[:blue :orange], layout=ℓ, subplot=2)\n```\n\n![alt text](https://raw.githubusercontent.com/dysonance/Temporal.jl/master/examples/crack_spread.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjtamos%2Ftemporal.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjtamos%2Ftemporal.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjtamos%2Ftemporal.jl/lists"}