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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
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[](https://cran.r-project.org/package=RTL)
[](https://cran.r-project.org/package=RTL)
[](https://github.com/risktoollib/RTL/actions)
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## Overview
RTL is a purposely designed for traders, analysts and risk practitioners in Commodities and Finance. It also supports delivery of Finance classes from one of the creator also in Academics at the [Alberta School of Business](https://www.ualberta.ca/en/business/index.html).
Send feedback to `pcote@ualberta.ca`. We welcome feedback, suggestions and collaboration.
### Energy Markets Reference Data
+ `expiry_table`: NYMEX and ICE contracts expiry tables.
+ `holidaysOil`: Holiday calendars for NYMEX and ICE.
+ `tradeCycle`: US and Canadian crude oil trading calendars.
+ `tickers_eia`: Mapping of EIA tickers to crude and refined products markets for building supply demand balances.
+ `eiaStorageCap`: Historical EIA crude storage capacity by PADD.
+ `eiaStocks`: Sample data set of EIA.gov stocks for key commodities.
### Swap Pricing and Contract Roll Adjustement
+ `rolladjust()` adjusts continuous contracts returns for roll adjustments using `expiry_table`.
+ `swapCOM()` computes Calendar Month Average commodity swap prices.
+ `swapInfo()` returns all information required to price first line futures contract averaging swap or CMA physical trade, including a current month instrument with prior settlements.
+ `swapIRS()` computes IRS swap prices.
### Charting
+ `chart_fwd_curves()`: plots historical forward curves, a useful feature to understand the pricing dynamics of a market.
+ `chart_zscore()` supports seasonality adjusted analysis of residuals, particularly useful when dealing with commodity stocks and/or days demand time series with trends as well as non-constant variance across seasonal periods.
+ `chart_eia_steo()` and `chart_eia_sd()` return either a chart or dataframe of supply demand balances from the EIA.
+ `chart_spreads()` to generate specific contract spreads across years e.g. ULSD March/April. Requires Morninstar credentials.
+ ...
### APIs
Valid credentials for commercial API services are required.
#### Genscape
[Genscape API ](https://developer.genscape.com/) functions:
+ `getGenscapeStorageOil()`.
+ `getGenscapePipeOil()`.
#### Zema Marketplace
[Zema Marketplace API](https://www.zema.global/platforms/zema-marketplace) functions:
+ `getPrice()`, `getPrices()` and `getCurve()` using your own Zema credentials. Current feeds included:
+ ICE_EuroFutures and ICE_EuroFutures_continuous.
+ CME_NymexFutures_EOD and CME_NymexFutures_EOD_continuous.
+ CME_NymexOptions_EOD.
+ CME_CbotFuturesEOD and CME_CbotFuturesEOD_continuous.
+ CME_Comex_FuturesSettlement_EOD and CME_Comex_FuturesSettlement_EOD_continuous.
+ LME_AskBidPrices_Delayed.
+ CME_CmeFutures_EOD and CME_CmeFutures_EOD_continuous.
+ CME_STLCPC_Futures.
+ ICE_NybotCoffeeSugarCocoaFutures and ICE_NybotCoffeeSugarCocoaFutures_continuous.
+ ... see `?getPrice` for up to date selection and examples.
### GIS Dataset
#### EIA
+ crudepipelines <- `getGIS(url = "https://www.eia.gov/maps/map_data/CrudeOil_Pipelines_US_EIA.zip")`
+ refineries <- `getGIS(url = "https://www.eia.gov/maps/map_data/Petroleum_Refineries_US_EIA.zip")`
+ productspipelines <- `getGIS(url = "https://www.eia.gov/maps/map_data/PetroleumProduct_Pipelines_US_EIA.zip")`
+ productsterminals <- `getGIS(url = "https://www.eia.gov/maps/map_data/PetroleumProduct_Terminals_US_EIA.zip")`
+ ngpipelines <- `getGIS(url = "https://www.eia.gov/maps/map_data/NaturalGas_InterIntrastate_Pipelines_US_EIA.zip")`
+ ngstorage <- `getGIS(url = "https://www.eia.gov/maps/map_data/PetroleumProduct_Terminals_US_EIA.zip")`
+ nghubs <- `getGIS(url = "https://www.eia.gov/maps/map_data/NaturalGas_TradingHubs_US_EIA.zip")`
+ lngterminals <- `getGIS(url = "https://www.eia.gov/maps/map_data/Lng_ImportExportTerminals_US_EIA.zip")`
+ `tradeHubs` has North Americas crude oil trading hubs (WIP).
#### Alberta Oil Sands, Petroleum and Natural Gas
+ AB <- `getGIS(url = "https://gis.energy.gov.ab.ca/GeoviewData/OS_Agreements_Shape.zip")`
### Interest Rates
+ `usSwapIR`: Sample data set output of `getIRswapCurve`.
+ `usSwapCurves`: Sample data set output of `RQuantlib::DiscountCurve()`.
## Python
A python version of RTL for most functions is available at https://pypi.org/project/risktools/.
## Installation
**Latest Package**
`devtools::install_github("risktoollib/RTL")`
**CRAN Stable**
`install.packages("RTL")`