f_trade: Stock trading based on xgboost predictions
In kristian-bak/kb.modelling: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
Stock trading based on xgboost predictions
Usage
1
f_trade(test_data, buy_cut = 0.6, sell_cut = 0.4)
Arguments
test_data
data. Should be a data.table object with predictions from f_predict
buy_cut
cut off determining when to buy. Should be a number between 0 and 1
sell_cut
cut off determining when to sell. Should be a number between 0 and 1
Value
list with trades made and earnings
kristian-bak/kb.modelling documentation built on Dec. 21, 2021, 7:46 a.m.
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Description Usage Arguments Value
Description
Stock trading based on xgboost predictions
Usage
1 | f_trade(test_data, buy_cut = 0.6, sell_cut = 0.4)
|
Arguments
test_data |
data. Should be a data.table object with predictions from f_predict |
buy_cut |
cut off determining when to buy. Should be a number between 0 and 1 |
sell_cut |
cut off determining when to sell. Should be a number between 0 and 1 |
Value
list with trades made and earnings
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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