Rusquant

Intro

Rusquant is a package for interaction with alternative data, trading API of different exchanges and brokers. Package provides access to market data for storage, analysis, algorithmic trading, strategy backtesting. Also this is data downloader from different data sources starting from close price to order book and tradelog.

Current available brokers - tinkoff.ru, finam.ru, alorbroker.ru. Current available datasources - previous brokers + MOEX, MFD.RU, Poloniex, MarketWatch, Investing, AlgoPack

Supporting rusquant development

If you are interested in supporting the ongoing development and maintenance of rusquant, please consider becoming a sponsor.

Installation

The current release was removed from CRAN,

To install the development version (1.1.5), you need to clone the repository and build from source, or run one of:

# lightweight
remotes::install_github("arbuzovv/rusquant")
or
devtools::install_github("arbuzovv/rusquant")

Getting Started

It is possible to import data from a variety of sources with one rusquant function: getSymbols(). For example:

r
library(rusquant)
getSymbolList('Finam') # download all available symbols in finam.ru 
getSymbols('LKOH',src='Finam') # default = main market
getSymbols('LKOH',src = 'Finam') # main market
getSymbols.Moex('SBER')
type period
getSymbols('LKOH',src='Finam',period='day') # day bars - default parameter
getSymbols('LKOH',src='Finam',period='5min') # 5 min bar 
getSymbols('LKOH',src='Finam',period='15min') # 15 min bar
getSymbols.Moex('SBER',period = '1min',from=Sys.Date()-20) # 1 min bar

Get data from Mfd.ru

r
getSymbolList('Mfd') # see the availible assets
getSymbols('Сбербанк',src='Mfd')

Get fundamental data from Investing

r
getEarnings(from = Sys.Date(),to = Sys.Date()+3,country='Belgium')
getEconomic(from = Sys.Date() - 10, to = Sys.Date(), country = "United States")
getIPO(from='2023-01-23',to='2023-01-25')
getDividends(from = Sys.Date(),to = Sys.Date()+2,country = "Australia")
getDividends(from = '2023-08-01',to = '2023-08-05',country = 'United States')

Get microstructure data from AlgoPack

r
auth(api_key = "my token")
getSymbols.Algopack('SBER',from = '2023-10-24',to='2023-11-04')
getSymbols.Algopack('ROSN',from = '2023-10-24',to='2023-11-04',type = 'obstats')
market concentration for available stocks
#getSymbols.Algopack(date = '2024-05-10',type = 'hi2')
market concentration for available fx
getSymbols.Algopack(date = '2024-05-10',type = 'hi2',market='fx')
market concentration for available futures
getSymbols.Algopack(date = '2024-05-10',type = 'hi2',market='fo')
market concentration for CNYRUB_TOM
getSymbols.Algopack(Symbols = 'CNYRUB_TOM',type = 'hi2',market='fx')
orderbook data
getOrderbook('SBER', src = 'moex')
getOrderbook('SiH5', src = 'moex',market='forts')
orderbook data
getOrderbook('SBER', src = 'moex')
getOrderbook('SiH5', src = 'moex',market='forts')
tradelog data
getTradelog('SBER', src = 'moex')
getTradelog('SiH5', src = 'moex',market='forts')

Live trading using broker account Finam

r
finam_token = 'mytoken'
finam_account = 'accountid'
#get portfolio info finamportfolio = getPortfolio(src = 'Finam',api.key = finamtoken,clientId = finam_account) currentbalance = finamportfolio$equity finamuniverse = data.table(getSymbolList(src = 'Finam',api.key = finamtoken)) #change positions trade_symbol = 'SBER' lastprice = try(tail((getSymbols.Finam(tradesymbol,period = '1min',from=Sys.Date()-2))[,4],1),silent = T) size_order = 1 tradeside = ifelse(sizeorder>0,'Buy','Sell') board = 'TQBR'
myorder = placeOrder(src = 'finam',                      symbol = trade_symbol,                      board = board,                      action = trade_side,                      totalQuantity = size_order,                      lmtPrice = as.numeric(last_price),                      api.key = finam_token,                      clientId = finam_account) print(myorder)
myordersstatus = getOrders(src = 'finam',api.key = finamtoken,clientId = finamaccount)$orders print(myordersstatus)

Author

Vyacheslav Arbuzov

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