BTC price Forward looking liquidity model

A 3-6 month BTC price forward looking model based on liquidity
Published

November 23, 2024

3-6 Months Forward Looking BTC Price Model BTC

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Loading required package: xts
Loading required package: zoo

Attaching package: 'zoo'
The following objects are masked from 'package:data.table':

    yearmon, yearqtr
The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

######################### Warning from 'xts' package ##########################
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# The dplyr lag() function breaks how base R's lag() function is supposed to  #
# work, which breaks lag(my_xts). Calls to lag(my_xts) that you type or       #
# source() into this session won't work correctly.                            #
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# Use stats::lag() to make sure you're not using dplyr::lag(), or you can add #
# conflictRules('dplyr', exclude = 'lag') to your .Rprofile to stop           #
# dplyr from breaking base R's lag() function.                                #
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# Code in packages is not affected. It's protected by R's namespace mechanism #
# Set `options(xts.warn_dplyr_breaks_lag = FALSE)` to suppress this warning.  #
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Attaching package: 'xts'
The following objects are masked from 'package:dplyr':

    first, last
The following objects are masked from 'package:data.table':

    first, last
Loading required package: TTR
Warning: GC=F contains missing values. Some functions will not work if objects
contain missing values in the middle of the series. Consider using na.omit(),
na.approx(), na.fill(), etc to remove or replace them.