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Function summaryTable()
now allows the
kable
type of table.
Vignette now explains a temporary hack to initialize backtests (via non-recommended global variables).
Benchmark name 1/N
has replaced the previous name
uniform
.
Added function backtestChartSharpeRatio()
.
Function backtestBoxPlot()
now accepts a reference
portfolio.
Argument price_name
to
portfolioBacktest()
can be left unspecified.
Function portfolioBacktest()
now returns
w_optimized
and w_rebalanced
(instead of
w_designed
). It also returns X_lin
that can be
used for debugging or other purposes.
In the computation of Sharpe ratio and annualized return, uncompounded returns are used (before they were compounded).
New function to add new performance measures:
add_performance()
Function name backtestChartCumReturns()
changed to
backtestChartCumReturn()
.
Now the portfolio function receives an additional argument
w_current
with the current portfolio. This allows for
portfolio designs that take into account transaction costs and for smart
rebalancing techniques.
Lots of internal code rewritten to make it more robust to future coding bugs. Now use of ellipsis in most places (always with named arguments).
Reimplement parallel mode using package
pbapply
.
Add a temporary argument source_to_local
in function
portfolioBacktest()
to address the issues of using package
CVXR
within files.
Add MDP and MSRP as benchmarks.
Fix performance computation when no investment happens in some days.
Function stockDataResample()
deprecated and revised
as financialDataResample()
to work with other than stock
data (e.g., crypto data) and without requiring the elements
$adjusted
or $index
.
Package now works with non-daily data. For example, for hourly
crypto data, one needs to specify
bars_per_year = 24*365
.
Fix some CRAN small issue with function examples.
New function to add new performance measure:
add_performance()
.
Vignette revised (included references on the dangers of backtesting).
Bug fixed with global variables when using paral_portfolios > 1.
Typos fixed in vignette.
Data SP500_symbols updated.
Bug fix in backtestLeaderboard() when some portfolios have 100% failure rate.
Three new plotting function: backtestChartCumReturns(), backtestChartDrawdown(), backtestChartStackedBar().
Structural improvement for embedded benchmarks. Now it is easier to add more benchmarks.
Add the global minimum variance portfolio (GMVP) with “shrinkage” option as a benchmark.
Add two more performance criteria: VaR (alpha = 0.95) and CVaR (alpha = 0.95) of loss.
Filter global variables by size: now the variables with size > 10 MB will not be transparent to parallel threads.
Revised test examples.
Now stockDataDownload() will store the downloaded data into a local file and if called again with the same arguments will use it (Issue: #2).
Function portfolioBacktest() now returns two portfolios: w_designed and w_bop.
Function portfolioBacktest() now takes an extra argument for the portfolio execution which can be “same day” or “next day”.
Transaction costs are now included in the backtest computation and function portfolioBacktest() takes an extra argument (Issue: #7).
Two new functions for easy parameter tuning and plotting: genRandomFuns() and plotPerformanceVsParams().
Package ggplot2 is now imported and all the plots are based on it by default.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.