Download and organize historical market data from multiple sources like Yahoo (<https://finance.yahoo.com>), Google (<https://www.google.com/finance>), Finam (<https://www.finam.ru/profile/moex-akcii/sberbank/export/>), MOEX (<https://www.moex.com/en/derivatives/contracts.aspx>) and IQFeed (<https://www.iqfeed.net/symbolguide/index.cfm?symbolguide=lookup>). Code your trading algorithms in modern C++11 with powerful event driven tick processing API including trading costs and exchange communication latency and transform detailed data seamlessly into R. In just few lines of code you will be able to visualize every step of your trading model from tick data to multi dimensional heat maps.

Enhanced Quantitative Trading Modelling

package-ubuntu-20.04-r-4.0.5#cran#QuantTools-0.5.7.1

<table summary="R argblock">
<tr valign="top">
<td><code>ticks</code></td>
<td>
<p>read 'Ticks' section in <a href="cpp_Processor.html">Processor</a></p>
</td>
</tr>
<tr valign="top">
<td><code>timeframe</code></td>
<td>
<p>candle timeframe in seconds</p>
</td>
</tr>
</table>

<p>data.table with columns <code>time, open, high, low, close, volume, id</code>. Where <code>id</code> is row number of last tick in candle. <br>
Note: last candle is always omitted.
</p>

package-ubuntu-20.04-r-4.0.5#cran#QuantTools-0.5.7.1#docs#to_candles

`ticks`	read 'Ticks' section in Processor
`timeframe`	candle timeframe in seconds

to_candles

Description

Usage

Arguments

Value

QuantTools

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