Merge pull request #1175 from freqtrade/doc/installation
installation documentation update
This commit is contained in:
Samuel Husso
GitHub
commit
9945b97595
@ -8,7 +8,6 @@ To understand how to set up the bot please read the [Bot Configuration](https://
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* [Table of Contents](#table-of-contents)
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* [Easy Installation - Linux Script](#easy-installation---linux-script)
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* [Manual installation](#manual-installation)
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* [Automatic Installation - Docker](#automatic-installation---docker)
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* [Custom Linux MacOS Installation](#custom-installation)
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- [Requirements](#requirements)
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@ -56,34 +55,6 @@ Reset parameter will hard reset your branch (only if you are on `master` or `dev
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Config parameter is a `config.json` configurator. This script will ask you questions to setup your bot and create your `config.json`.
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## Manual installation - Linux/MacOS
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The following steps are made for Linux/MacOS environment
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### 1. Clone the repo
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```bash
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git clone git@github.com:freqtrade/freqtrade.git
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git checkout develop
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cd freqtrade
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```
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### 2. Create the config file
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Switch `"dry_run": true,`
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```bash
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cp config.json.example config.json
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vi config.json
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```
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### 3. Build your docker image and run it
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```bash
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docker build -t freqtrade .
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docker run --rm -v /etc/localtime:/etc/localtime:ro -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
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```
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------
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## Automatic Installation - Docker
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@ -196,7 +167,7 @@ docker run -d \
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freqtrade --db-url sqlite:///tradesv3.sqlite
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```
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NOTE: db-url defaults to `sqlite:///tradesv3.sqlite` but it defaults to `sqlite://` if `dry_run=True` is being used.
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*Note*: db-url defaults to `sqlite:///tradesv3.sqlite` but it defaults to `sqlite://` if `dry_run=True` is being used.
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To override this behaviour use a custom db-url value: i.e.: `--db-url sqlite:///tradesv3.dryrun.sqlite`
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### 6. Monitor your Docker instance
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@ -211,14 +182,15 @@ docker stop freqtrade
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docker start freqtrade
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```
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You do not need to rebuild the image for configuration changes, it will suffice to edit `config.json` and restart the container.
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For more information on how to operate Docker, please refer to the [official Docker documentation](https://docs.docker.com/).
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*Note*: You do not need to rebuild the image for configuration changes, it will suffice to edit `config.json` and restart the container.
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### 7. Backtest with docker
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The following assumes that the above steps (1-4) have been completed successfully.
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Also, backtest-data should be available at `~/.freqtrade/user_data/`.
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``` bash
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docker run -d \
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--name freqtrade \
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@ -238,12 +210,13 @@ Head over to the [Backtesting Documentation](https://github.com/freqtrade/freqtr
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## Custom Installation
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We've included/collected install instructions for Ubuntu 16.04, MacOS, and Windows. These are guidelines and your success may vary with other distros.
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OS Specific steps are listed first, the [common](#common) section below is necessary for all systems.
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### Requirements
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Click each one for install guide:
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* [Python 3.6.x](http://docs.python-guide.org/en/latest/starting/installation/), note the bot was not tested on Python >= 3.7.x
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* [Python >= 3.6.x](http://docs.python-guide.org/en/latest/starting/installation/)
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* [pip](https://pip.pypa.io/en/stable/installing/)
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* [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
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* [virtualenv](https://virtualenv.pypa.io/en/stable/installation/) (Recommended)
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@ -251,7 +224,7 @@ Click each one for install guide:
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### Linux - Ubuntu 16.04
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#### 1. Install Python 3.6, Git, and wget
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#### Install Python 3.6, Git, and wget
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```bash
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sudo add-apt-repository ppa:jonathonf/python-3.6
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@ -259,7 +232,34 @@ sudo apt-get update
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sudo apt-get install python3.6 python3.6-venv python3.6-dev build-essential autoconf libtool pkg-config make wget git
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```
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#### 2. Install TA-Lib
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#### Raspberry Pi / Raspbian
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Before installing FreqTrade on a Raspberry Pi running the official Raspbian Image, make sure you have at least Python 3.6 installed. The default image only provides Python 3.5. Probably the easiest way to get a recent version of python is [miniconda](https://repo.continuum.io/miniconda/).
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The following assumes that miniconda3 is installed and available in your environment, and is installed.
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It's recommended to use (mini)conda for this as installation/compilation of `scipy` and `pandas` takes a long time.
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``` bash
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conda config --add channels rpi
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conda install python=3.6
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conda create -n freqtrade python=3.6
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conda install scipy pandas
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pip install -r requirements.txt
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pip install -e .
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```
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### MacOS
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#### Install Python 3.6, git, wget and ta-lib
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```bash
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brew install python3 git wget
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```
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### common
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#### 1. Install TA-Lib
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Official webpage: https://mrjbq7.github.io/ta-lib/install.html
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@ -275,15 +275,60 @@ cd ..
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rm -rf ./ta-lib*
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```
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*Note*: An already downloaded version of ta-lib is included in the repository, as the sourceforge.net source seems to have problems frequently.
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#### 2. Setup your Python virtual environment (virtualenv)
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*Note*: This step is optional but strongly recommended to keep your system organized
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```bash
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python3 -m venv .env
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source .env/bin/activate
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```
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#### 3. Install FreqTrade
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Clone the git repository:
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```bash
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git clone https://github.com/freqtrade/freqtrade.git
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```
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#### 4. Configure `freqtrade` as a `systemd` service
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Optionally checkout the stable/master branch:
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```bash
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git checkout master
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```
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#### 4. Initialize the configuration
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```bash
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cd freqtrade
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cp config.json.example config.json
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```
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> *To edit the config please refer to [Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md).*
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#### 5. Install python dependencies
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``` bash
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pip3 install --upgrade pip
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pip3 install -r requirements.txt
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pip3 install -e .
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```
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#### 6. Run the Bot
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If this is the first time you run the bot, ensure you are running it in Dry-run `"dry_run": true,` otherwise it will start to buy and sell coins.
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```bash
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python3.6 ./freqtrade/main.py -c config.json
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```
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*Note*: If you run the bot on a server, you should consider using [Docker](#automatic-installation---docker) a terminal multiplexer like `screen` or [`tmux`](https://en.wikipedia.org/wiki/Tmux) to avoid that the bot is stopped on logout.
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#### 7. [Optional] Configure `freqtrade` as a `systemd` service
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From the freqtrade repo... copy `freqtrade.service` to your systemd user directory (usually `~/.config/systemd/user`) and update `WorkingDirectory` and `ExecStart` to match your setup.
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@ -299,57 +344,6 @@ For this to be persistent (run when user is logged out) you'll need to enable `l
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sudo loginctl enable-linger "$USER"
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```
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### MacOS
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#### 1. Install Python 3.6, git, wget and ta-lib
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```bash
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brew install python3 git wget ta-lib
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```
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#### 2. Install FreqTrade
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Clone the git repository:
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```bash
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git clone https://github.com/freqtrade/freqtrade.git
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```
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Optionally checkout the develop branch:
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```bash
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git checkout develop
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```
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### Setup Config and virtual env
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#### 1. Initialize the configuration
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```bash
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cd freqtrade
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cp config.json.example config.json
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```
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> *To edit the config please refer to [Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md).*
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#### 2. Setup your Python virtual environment (virtualenv)
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```bash
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python3.6 -m venv .env
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source .env/bin/activate
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pip3.6 install --upgrade pip
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pip3.6 install -r requirements.txt
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pip3.6 install -e .
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```
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#### 3. Run the Bot
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If this is the first time you run the bot, ensure you are running it in Dry-run `"dry_run": true,` otherwise it will start to buy and sell coins.
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```bash
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python3.6 ./freqtrade/main.py -c config.json
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```
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------
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## Windows
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@ -369,7 +363,7 @@ git clone https://github.com/freqtrade/freqtrade.git
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copy paste `config.json` to ``\path\freqtrade-develop\freqtrade`
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#### install ta-lib
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#### Install ta-lib
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Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
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@ -390,5 +384,17 @@ REM >pip install TA_Lib‑0.4.17‑cp36‑cp36m‑win32.whl
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> Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/freqtrade/freqtrade/issues/222)
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#### Error during installation under Windows
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``` bash
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error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools
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```
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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.
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The easiest way is to download install Microsoft Visual Studio Community [here](https://visualstudio.microsoft.com/downloads/) 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 docker first.
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---
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Now you have an environment ready, the next step is
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[Bot Configuration](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md)...
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