factor_acount: factor_acount
In cloud-brain/backtest: back test for stock acount

Description Usage Arguments Format Details Examples

create a R6 object of acount to analyse factor. can calculate the factor/number rank stock easily.

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p <- factor_acount$new(con, buy_stock = NULL)
p$factor_update(buy_num, begin_date, end_date, wait_sell = F, refresh = T, show_trace = T)
p$show_wait_sell()

`con`	connection for data
`buy_stock`	data.frame, column code, buy_date(date), num(int)
`begin_date`	int, the first date to backtest
`end_date,`	int, the end date to backtest
`wait_sell,`	logic. if True, sell the stock wait for sell every day
`refresh,`	logic, clean acount history
`show_trace,`	logic, print history day by day
`...`	the paramater inherit from stock_acount

stock_acount$new(con, buy_stock): to create new object
factor_update(buy_num, begin_date, end_date, wait_sell = F, refresh = T, show_trace = T): factor buy top buy_num stock every month
show_wait_sell(): to show stock can't sell

An R6Class generator object inherit from stock_acount

## Not run: 
con <- odbcConnect('tiny')
my_acount <- factor_acount$new(con = con, 
                               buy_stock = data_all %>% 
                                  transmute(code = wind_code, buy_date = ymd(trade_dt)) %>%
                                  group_by(buy_date) %>% mutate(num = 1:n()))
my_acount$factor_update(20, 20170101, 20170531, wait_sell = T)

## End(Not run)