df_append

Update a 'data.frame' object with new data. Can be used to append new updated
 time series data to an existing dataframe, where each observation is
 indexed by a unique timestamp/identifier in a key column.

An implementation of 'Ichimoku Kinko Hyo', also commonly known as
'cloud charts'. Static and interactive visualizations with tools for
creating, backtesting and development of quantitative 'ichimoku' strategies.
As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement
on candlestick charting, originating from Japan and now in widespread use in
technical analysis worldwide. Translating as 'one-glance equilibrium chart',
it allows the price action and market structure of financial securities to
be determined 'at-a-glance'. Incorporates an interface with the OANDA
fxTrade API <https://developer.oanda.com/> for retrieving historical and
live streaming price data for major currencies, metals, commodities,
government bonds and stock indices.

Charlie Gao

ichimoku

Visualization and Tools for Ichimoku Kinko Hyo Strategies

Hibiki AI Limited 

df_append function

<dl><dt>old</dt>
<dd>data.frame object containing existing data.</dd>
<dt>new</dt>
<dd>data.frame object containing new data.</dd>
<dt>key</dt>
<dd>[default 'time'] column name used as key, provided as a character
string.</dd>
<dt>keep.attr</dt>
<dd>[default 'timestamp'] name of an attribute in &#8216;new&#8217;
to retain, if present, provided as a character string.</dd></dl>

Arguments

Append New Data to Dataframe — df_append

<dl>

<dt>old</dt>
<dd>data.frame object containing existing data.</dd>


<dt>new</dt>
<dd>data.frame object containing new data.</dd>


<dt>key</dt>
<dd>[default 'time'] column name used as key, provided as a character
string.</dd>


<dt>keep.attr</dt>
<dd>[default 'timestamp'] name of an attribute in &#8216;new&#8217;
to retain, if present, provided as a character string.</dd>

</dl>

df_append: Append New Data to Dataframe

Description

Usage

Value

Arguments

Details

Examples