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Installation
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Requirements
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API keys
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Setup your exchange account
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Easy Installation Script (Linux/MacOS)
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Custom Installation
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Linux - Ubuntu 16.04
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Install necessary dependencies
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Raspberry Pi / Raspbian
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Common
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1. Install TA-Lib
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2. Setup your Python virtual environment (virtualenv)
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3. Install Freqtrade
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4. Install python dependencies
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5. Initialize the configuration
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Install freqtrade manually
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Clone the git repository
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Install ta-lib
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Installation Docker
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Configuration
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Strategy Customization
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Stoploss
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Data Downloading
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Backtesting
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Hyperopt
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Edge Positioning
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Utility Subcommands
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Exchange-specific Notes
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FAQ
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Data Analysis
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Data Analysis
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Jupyter Notebooks
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Strategy analysis
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Plotting
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SQL Cheatsheet
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Advanced Post-installation Tasks
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Advanced Hyperopt
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Sandbox Testing
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Deprecated Features
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Contributors Guide
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Prerequisite
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Requirements
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API keys
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<a href="#setup-your-exchange-account" class="md-nav__link">
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Setup your exchange account
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Quick start
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Easy Installation Script (Linux/MacOS)
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Custom Installation
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Linux - Ubuntu 16.04
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Install necessary dependencies
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Raspberry Pi / Raspbian
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Common
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1. Install TA-Lib
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<a href="#2-setup-your-python-virtual-environment-virtualenv" class="md-nav__link">
<span class="md-ellipsis">
2. Setup your Python virtual environment (virtualenv)
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</a>
</li>
<li class="md-nav__item">
<a href="#3-install-freqtrade" class="md-nav__link">
<span class="md-ellipsis">
3. Install Freqtrade
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4. Install python dependencies
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5. Initialize the configuration
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6. Run the Bot
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7. (Optional) Post-installation Tasks
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Using Conda
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Windows
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Install freqtrade manually
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Install ta-lib
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<h1 id="installation">Installation<a class="headerlink" href="#installation" title="Permanent link">&para;</a></h1>
<p>This page explains how to prepare your environment for running the bot.</p>
<h2 id="prerequisite">Prerequisite<a class="headerlink" href="#prerequisite" title="Permanent link">&para;</a></h2>
<h3 id="requirements">Requirements<a class="headerlink" href="#requirements" title="Permanent link">&para;</a></h3>
<p>Click each one for install guide:</p>
<ul>
<li><a href="http://docs.python-guide.org/en/latest/starting/installation/">Python &gt;= 3.6.x</a></li>
<li><a href="https://pip.pypa.io/en/stable/installing/">pip</a></li>
<li><a href="https://git-scm.com/book/en/v2/Getting-Started-Installing-Git">git</a></li>
<li><a href="https://virtualenv.pypa.io/en/stable/installation/">virtualenv</a> (Recommended)</li>
<li><a href="https://mrjbq7.github.io/ta-lib/install.html">TA-Lib</a> (install instructions below)</li>
</ul>
<h3 id="api-keys">API keys<a class="headerlink" href="#api-keys" title="Permanent link">&para;</a></h3>
<p>Before running your bot in production you will need to setup few
external API. In production mode, the bot will require valid Exchange API
credentials. We also recommend a <a href="../telegram-usage/#setup-your-telegram-bot">Telegram bot</a> (optional but recommended).</p>
<h3 id="setup-your-exchange-account">Setup your exchange account<a class="headerlink" href="#setup-your-exchange-account" title="Permanent link">&para;</a></h3>
<p>You will need to create API Keys (Usually you get <code>key</code> and <code>secret</code>) from the Exchange website and insert this into the appropriate fields in the configuration or when asked by the installation script.</p>
<h2 id="quick-start">Quick start<a class="headerlink" href="#quick-start" title="Permanent link">&para;</a></h2>
<p>Freqtrade provides the Linux/MacOS Easy Installation script to install all dependencies and help you configure the bot.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Windows installation is explained <a href="#windows">here</a>.</p>
</div>
<p>The easiest way to install and run Freqtrade is to clone the bot GitHub repository and then run the Easy Installation script, if it's available for your platform.</p>
<div class="admonition note">
<p class="admonition-title">Version considerations</p>
<p>When cloning the repository the default working branch has the name <code>develop</code>. This branch contains all last features (can be considered as relatively stable, thanks to automated tests). The <code>master</code> branch contains the code of the last release (done usually once per month on an approximately one week old snapshot of the <code>develop</code> branch to prevent packaging bugs, so potentially it's more stable).</p>
</div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Python3.6 or higher and the corresponding <code>pip</code> are assumed to be available. The install-script will warn you and stop if that's not the case. <code>git</code> is also needed to clone the Freqtrade repository.</p>
</div>
<p>This can be achieved with the following commands:</p>
<p><div class="highlight"><pre><span></span><code>git<span class="w"> </span>clone<span class="w"> </span>git@github.com:freqtrade/freqtrade.git
<span class="nb">cd</span><span class="w"> </span>freqtrade
git<span class="w"> </span>checkout<span class="w"> </span>master<span class="w"> </span><span class="c1"># Optional, see (1)</span>
./setup.sh<span class="w"> </span>--install
</code></pre></div>
(1) This command switches the cloned repository to the use of the <code>master</code> branch. It's not needed if you wish to stay on the <code>develop</code> branch. You may later switch between branches at any time with the <code>git checkout master</code>/<code>git checkout develop</code> commands.</p>
<h2 id="easy-installation-script-linuxmacos">Easy Installation Script (Linux/MacOS)<a class="headerlink" href="#easy-installation-script-linuxmacos" title="Permanent link">&para;</a></h2>
<p>If you are on Debian, Ubuntu or MacOS Freqtrade provides the script to install, update, configure and reset the codebase of your bot.</p>
<div class="highlight"><pre><span></span><code>$<span class="w"> </span>./setup.sh
usage:
<span class="w"> </span>-i,--install<span class="w"> </span>Install<span class="w"> </span>freqtrade<span class="w"> </span>from<span class="w"> </span>scratch
<span class="w"> </span>-u,--update<span class="w"> </span>Command<span class="w"> </span>git<span class="w"> </span>pull<span class="w"> </span>to<span class="w"> </span>update.
<span class="w"> </span>-r,--reset<span class="w"> </span>Hard<span class="w"> </span>reset<span class="w"> </span>your<span class="w"> </span>develop/master<span class="w"> </span>branch.
<span class="w"> </span>-c,--config<span class="w"> </span>Easy<span class="w"> </span>config<span class="w"> </span>generator<span class="w"> </span><span class="o">(</span>Will<span class="w"> </span>override<span class="w"> </span>your<span class="w"> </span>existing<span class="w"> </span>file<span class="o">)</span>.
</code></pre></div>
<p>** --install **</p>
<p>With this option, the script will install everything you need to run the bot:</p>
<ul>
<li>Mandatory software as: <code>ta-lib</code></li>
<li>Setup your virtualenv</li>
<li>Configure your <code>config.json</code> file</li>
</ul>
<p>This option is a combination of installation tasks, <code>--reset</code> and <code>--config</code>.</p>
<p>** --update **</p>
<p>This option will pull the last version of your current branch and update your virtualenv. Run the script with this option periodically to update your bot.</p>
<p>** --reset **</p>
<p>This option will hard reset your branch (only if you are on either <code>master</code> or <code>develop</code>) and recreate your virtualenv.</p>
<p>** --config **</p>
<p>Use this option to configure the <code>config.json</code> configuration file. The script will interactively ask you questions to setup your bot and create your <code>config.json</code>.</p>
<hr />
<h2 id="custom-installation">Custom Installation<a class="headerlink" href="#custom-installation" title="Permanent link">&para;</a></h2>
<p>We've included/collected install instructions for Ubuntu 16.04, MacOS, and Windows. These are guidelines and your success may vary with other distros.
OS Specific steps are listed first, the <a href="#common">Common</a> section below is necessary for all systems.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Python3.6 or higher and the corresponding pip are assumed to be available.</p>
</div>
<h3 id="linux-ubuntu-1604">Linux - Ubuntu 16.04<a class="headerlink" href="#linux-ubuntu-1604" title="Permanent link">&para;</a></h3>
<h4 id="install-necessary-dependencies">Install necessary dependencies<a class="headerlink" href="#install-necessary-dependencies" title="Permanent link">&para;</a></h4>
<div class="highlight"><pre><span></span><code>sudo<span class="w"> </span>apt-get<span class="w"> </span>update
sudo<span class="w"> </span>apt-get<span class="w"> </span>install<span class="w"> </span>build-essential<span class="w"> </span>git
</code></pre></div>
<h3 id="raspberry-pi-raspbian">Raspberry Pi / Raspbian<a class="headerlink" href="#raspberry-pi-raspbian" title="Permanent link">&para;</a></h3>
<p>The following assumes the latest <a href="https://www.raspberrypi.org/downloads/raspbian/">Raspbian Buster lite image</a> from at least September 2019.
This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.</p>
<p>Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.</p>
<div class="highlight"><pre><span></span><code>sudo<span class="w"> </span>apt-get<span class="w"> </span>install<span class="w"> </span>python3-venv<span class="w"> </span>libatlas-base-dev
git<span class="w"> </span>clone<span class="w"> </span>https://github.com/freqtrade/freqtrade.git
<span class="nb">cd</span><span class="w"> </span>freqtrade
bash<span class="w"> </span>setup.sh<span class="w"> </span>-i
</code></pre></div>
<div class="admonition note">
<p class="admonition-title">Installation duration</p>
<p>Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.</p>
</div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>The above does not install hyperopt dependencies. To install these, please use <code>python3 -m pip install -e .[hyperopt]</code>.
We do not advise to run hyperopt on a Raspberry Pi, since this is a very resource-heavy operation, which should be done on powerful machine.</p>
</div>
<h3 id="common">Common<a class="headerlink" href="#common" title="Permanent link">&para;</a></h3>
<h4 id="1-install-ta-lib">1. Install TA-Lib<a class="headerlink" href="#1-install-ta-lib" title="Permanent link">&para;</a></h4>
<p>Official webpage: <a href="https://mrjbq7.github.io/ta-lib/install.html">https://mrjbq7.github.io/ta-lib/install.html</a></p>
<div class="highlight"><pre><span></span><code>wget<span class="w"> </span>http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
tar<span class="w"> </span>xvzf<span class="w"> </span>ta-lib-0.4.0-src.tar.gz
<span class="nb">cd</span><span class="w"> </span>ta-lib
sed<span class="w"> </span>-i.bak<span class="w"> </span><span class="s2">&quot;s|0.00000001|0.000000000000000001 |g&quot;</span><span class="w"> </span>src/ta_func/ta_utility.h
./configure<span class="w"> </span>--prefix<span class="o">=</span>/usr/local
make
sudo<span class="w"> </span>make<span class="w"> </span>install
<span class="nb">cd</span><span class="w"> </span>..
rm<span class="w"> </span>-rf<span class="w"> </span>./ta-lib*
</code></pre></div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>An already downloaded version of ta-lib is included in the repository, as the sourceforge.net source seems to have problems frequently.</p>
</div>
<h4 id="2-setup-your-python-virtual-environment-virtualenv">2. Setup your Python virtual environment (virtualenv)<a class="headerlink" href="#2-setup-your-python-virtual-environment-virtualenv" title="Permanent link">&para;</a></h4>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>This step is optional but strongly recommended to keep your system organized</p>
</div>
<div class="highlight"><pre><span></span><code>python3<span class="w"> </span>-m<span class="w"> </span>venv<span class="w"> </span>.env
<span class="nb">source</span><span class="w"> </span>.env/bin/activate
</code></pre></div>
<h4 id="3-install-freqtrade">3. Install Freqtrade<a class="headerlink" href="#3-install-freqtrade" title="Permanent link">&para;</a></h4>
<p>Clone the git repository:</p>
<div class="highlight"><pre><span></span><code>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/freqtrade/freqtrade.git
<span class="nb">cd</span><span class="w"> </span>freqtrade
</code></pre></div>
<p>Optionally checkout the master branch to get the latest stable release:</p>
<div class="highlight"><pre><span></span><code>git<span class="w"> </span>checkout<span class="w"> </span>master
</code></pre></div>
<h4 id="4-install-python-dependencies">4. Install python dependencies<a class="headerlink" href="#4-install-python-dependencies" title="Permanent link">&para;</a></h4>
<div class="highlight"><pre><span></span><code>python3<span class="w"> </span>-m<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>--upgrade<span class="w"> </span>pip
python3<span class="w"> </span>-m<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>-e<span class="w"> </span>.
</code></pre></div>
<h4 id="5-initialize-the-configuration">5. Initialize the configuration<a class="headerlink" href="#5-initialize-the-configuration" title="Permanent link">&para;</a></h4>
<div class="highlight"><pre><span></span><code><span class="c1"># Initialize the user_directory</span>
freqtrade<span class="w"> </span>create-userdir<span class="w"> </span>--userdir<span class="w"> </span>user_data/
cp<span class="w"> </span>config.json.example<span class="w"> </span>config.json
</code></pre></div>
<blockquote>
<p><em>To edit the config please refer to <a href="../configuration/">Bot Configuration</a>.</em></p>
</blockquote>
<h4 id="6-run-the-bot">6. Run the Bot<a class="headerlink" href="#6-run-the-bot" title="Permanent link">&para;</a></h4>
<p>If this is the first time you run the bot, ensure you are running it in Dry-run <code>"dry_run": true,</code> otherwise it will start to buy and sell coins.</p>
<div class="highlight"><pre><span></span><code>freqtrade<span class="w"> </span>trade<span class="w"> </span>-c<span class="w"> </span>config.json
</code></pre></div>
<p><em>Note</em>: If you run the bot on a server, you should consider using <a href="../docker/">Docker</a> or a terminal multiplexer like <code>screen</code> or <a href="https://en.wikipedia.org/wiki/Tmux"><code>tmux</code></a> to avoid that the bot is stopped on logout.</p>
<h4 id="7-optional-post-installation-tasks">7. (Optional) Post-installation Tasks<a class="headerlink" href="#7-optional-post-installation-tasks" title="Permanent link">&para;</a></h4>
<p>On Linux, as an optional post-installation task, you may wish to setup the bot to run as a <code>systemd</code> service or configure it to send the log messages to the <code>syslog</code>/<code>rsyslog</code> or <code>journald</code> daemons. See <a href="../advanced-setup/#advanced-logging">Advanced Logging</a> for details.</p>
<hr />
<h2 id="using-conda">Using Conda<a class="headerlink" href="#using-conda" title="Permanent link">&para;</a></h2>
<p>Freqtrade can also be installed using Anaconda (or Miniconda).</p>
<div class="highlight"><pre><span></span><code>conda<span class="w"> </span>env<span class="w"> </span>create<span class="w"> </span>-f<span class="w"> </span>environment.yml
</code></pre></div>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>This requires the <a href="#1-install-ta-lib">ta-lib</a> C-library to be installed first.</p>
</div>
<h2 id="windows">Windows<a class="headerlink" href="#windows" title="Permanent link">&para;</a></h2>
<p>We recommend that Windows users use <a href="../docker/">Docker</a> as this will work much easier and smoother (also more secure).</p>
<p>If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work.
If that is not available on your system, feel free to try the instructions below, which led to success for some.</p>
<h3 id="install-freqtrade-manually">Install freqtrade manually<a class="headerlink" href="#install-freqtrade-manually" title="Permanent link">&para;</a></h3>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Make sure to use 64bit Windows and 64bit Python to avoid problems with backtesting or hyperopt due to the memory constraints 32bit applications have under Windows.</p>
</div>
<div class="admonition hint">
<p class="admonition-title">Hint</p>
<p>Using the <a href="https://www.anaconda.com/distribution/">Anaconda Distribution</a> under Windows can greatly help with installation problems. Check out the <a href="#using-conda">Conda section</a> in this document for more information.</p>
</div>
<h4 id="clone-the-git-repository">Clone the git repository<a class="headerlink" href="#clone-the-git-repository" title="Permanent link">&para;</a></h4>
<div class="highlight"><pre><span></span><code>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/freqtrade/freqtrade.git
</code></pre></div>
<h4 id="install-ta-lib">Install ta-lib<a class="headerlink" href="#install-ta-lib" title="Permanent link">&para;</a></h4>
<p>Install ta-lib according to the <a href="https://github.com/mrjbq7/ta-lib#windows">ta-lib documentation</a>.</p>
<p>As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), there is also a repository of unofficial precompiled windows Wheels <a href="https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib">here</a>, which needs to be downloaded and installed using <code>pip install TA_Lib0.4.17cp36cp36mwin32.whl</code> (make sure to use the version matching your python version)</p>
<div class="highlight"><pre><span></span><code>&gt;cd \path\freqtrade-develop
&gt;python -m venv .env
&gt;.env\Scripts\activate.bat
REM optionally install ta-lib from wheel
REM &gt;pip install TA_Lib0.4.17cp36cp36mwin32.whl
&gt;pip install -r requirements.txt
&gt;pip install -e .
&gt;freqtrade
</code></pre></div>
<blockquote>
<p>Thanks <a href="https://github.com/Owdr">Owdr</a> for the commands. Source: <a href="https://github.com/freqtrade/freqtrade/issues/222">Issue #222</a></p>
</blockquote>
<h4 id="error-during-installation-under-windows">Error during installation under Windows<a class="headerlink" href="#error-during-installation-under-windows" title="Permanent link">&para;</a></h4>
<div class="highlight"><pre><span></span><code>error:<span class="w"> </span>Microsoft<span class="w"> </span>Visual<span class="w"> </span>C++<span class="w"> </span><span class="m">14</span>.0<span class="w"> </span>is<span class="w"> </span>required.<span class="w"> </span>Get<span class="w"> </span>it<span class="w"> </span>with<span class="w"> </span><span class="s2">&quot;Microsoft Visual C++ Build Tools&quot;</span>:<span class="w"> </span>http://landinghub.visualstudio.com/visual-cpp-build-tools
</code></pre></div>
<p>Unfortunately, many packages requiring compilation don't provide a pre-build wheel. It is therefore mandatory to have a C/C++ compiler installed and available for your python environment to use.</p>
<p>The easiest way is to download install Microsoft Visual Studio Community <a href="https://visualstudio.microsoft.com/downloads/">here</a> and make sure to install "Common Tools for Visual C++" to enable building c code on Windows. Unfortunately, this is a heavy download / dependency (~4Gb) so you might want to consider WSL or <a href="../docker/">docker</a> first.</p>
<hr />
<p>Now you have an environment ready, the next step is
<a href="../configuration/">Bot Configuration</a>.</p>
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