#' @param ticker_name name of ticker.
#' @examples
#' bml_template_report("acb")
bml_template_report <- function(ticker_name){
line <- paste0(
'---
output: github_document
editor_options:
chunk_output_type: console
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
```{r setup, include = FALSE}
library(xgboost)
library(drake)
library(tidymodels)
library(modeltime)
library(tidyverse)
library(tidyquant)
library(lubridate)
library(timetk)
library(modeltime.ensemble)
library(dplyr)
# R.utils::sourceDirectory("D:/R/bml_stocks/R/")
# R.utils::sourceDirectory("R/")
interactive <- FALSE
```
# Forecast ', ticker_name, ' price
### Plot
```{r}
readd(data_',ticker_name,') %>%
plot_time_series(date, value, .interactive = interactive)
```
### Divide data to train/ test
```{r}
readd(splits_',ticker_name,') %>%
tk_time_series_cv_plan() %>%
plot_time_series_cv_plan(date, value, .interactive = FALSE)
```
### Modeltime Table
```{r}
readd(models_tbl_',ticker_name,')
```
### Calibration
```{r}
readd(calibration_tbl_',ticker_name,')
```
### Forecast (Testing Set)
```{r}
readd(forecast_tbl_',ticker_name,') %>%
plot_modeltime_forecast(.legend_max_width = 25,
.interactive = interactive)
```
### Accuracy table
```{r}
readd(accuracy_tbl_',ticker_name,')$`_data`
```
### Next week forecast
```{r}
readd(two_week_fc_',ticker_name,')
```
'
)
write(line,
file = paste0("vignettes/", ticker_name, "/Readme.Rmd"),
append = FALSE)
}
#' @title Create readme form
#'
bml_create_readme_file <- function(){
title = '
---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
```{r setup, include = FALSE}
library(drake)
```
# FORECAST STOCKS PRICE
'
write(title,
file = "Readme.Rmd",
append = FALSE)
}
#' @title Add prediction of each stock to general readme
#' @param ticker_name name of ticker.
#' @examples
bml_readme_add_ticker <- function(ticker_name){
line = paste0('
### ',stringr::str_to_upper(ticker_name),'
```{r}
readd(two_week_fc_',ticker_name,') %>% knitr::kable()
```
')
write(line,
file = "Readme.Rmd",
append = TRUE)
}
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