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cleaned up installation docs
This commit is contained in:
Rob Moggach
parent
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commit
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@ -1,98 +1,118 @@
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# Install the bot
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# Installation
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This page explains how to prepare your environment for running the bot.
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To understand how to set up the bot please read the Bot
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[Bot configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md)
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page.
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To understand how to set up the bot please read the [Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md) page.
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## Table of Contents
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- [Docker Automatic Installation](#docker)
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- [Linux or Mac manual Installation](#linux--mac)
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* [Docker Automatic Installation](#docker)
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* [Linux or Mac Manual Installation](#linux--mac)
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- [Linux - Ubuntu 16.04](#21-linux---ubuntu-1604)
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- [Linux - Other distro](#22-linux---other-distro)
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- [MacOS installation](#23-macos-installation)
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- [MacOS Installation](#23-macos-installation)
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- [Advanced Linux ](#advanced-linux)
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- [Windows manual Installation](#windows)
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* [Windows manual Installation](#windows)
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# Docker
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## Easy installation
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------
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## Automatic Installation - Docker
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Start by downloading Docker for your platform:
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- [Mac](https://www.docker.com/products/docker#/mac)
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- [Windows](https://www.docker.com/products/docker#/windows)
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- [Linux](https://www.docker.com/products/docker#/linux)
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Once you have Docker installed, simply create the config file
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(e.g. `config.json`) and then create a Docker image for `freqtrade`
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using the Dockerfile in this repo.
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* [Mac](https://www.docker.com/products/docker#/mac)
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* [Windows](https://www.docker.com/products/docker#/windows)
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* [Linux](https://www.docker.com/products/docker#/linux)
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Once you have Docker installed, simply create the config file (e.g. `config.json`) and then create a Docker image for `freqtrade` using the Dockerfile in this repo.
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### 1. Prepare the Bot
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#### 1.1. Clone the git repository
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### 1. Prepare the bot
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1. Clone the git
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```bash
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git clone https://github.com/gcarq/freqtrade.git
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```
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2. (Optional) Checkout the develop branch
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#### 1.2. (Optional) Checkout the develop branch
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```bash
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git checkout develop
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```
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3. Go into the new directory
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#### 1.3. Go into the new directory
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```bash
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cd freqtrade
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```
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4. Copy `config.sample` to `config.json`
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#### 1.4. Copy `config.json.example` to `config.json`
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```bash
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cp config.json.example config.json
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cat config.json.example >> config.json
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```
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To edit the config please refer to the [Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md) page
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5. Create your DB file (Optional, the bot will create it if it is missing)
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> To edit the config please refer to the [Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md) page.
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#### 1.5. Create your database file *(optional - the bot will create it if it is missing)*
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```bash
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# For Production
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touch tradesv3.sqlite
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# For Dry-run
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# For Dry-Run
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touch tradesv3.dryrun.sqlite
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```
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### 2. Build the docker image
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### 2. Build the Docker image
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```bash
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cd freqtrade
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docker build -t freqtrade .
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```
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For security reasons, your configuration file will not be included in the
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image, you will need to bind mount it. It is also advised to bind mount
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a sqlite database file (see the "5. Run a restartable docker image"
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section) to keep it between updates.
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For security reasons, your configuration file will not be included in the image, you will need to bind mount it. It is also advised to bind mount an SQLite database file (see the "5. Run a restartable docker image" section) to keep it between updates.
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### 3. Verify the docker image
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After build process you can verify that the image was created with:
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```
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### 3. Verify the Docker image
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After the build process you can verify that the image was created with:
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```bash
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docker images
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```
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### 4. Run the docker image
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You can run a one-off container that is immediately deleted upon exiting with
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the following command (config.json must be in the current working directory):
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```
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### 4. Run the Docker image
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You can run a one-off container that is immediately deleted upon exiting with the following command (`config.json` must be in the current working directory):
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```bash
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docker run --rm -v `pwd`/config.json:/freqtrade/config.json -it freqtrade
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```
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In this example, the database will be created inside the docker instance
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and will be lost when you will refresh your image.
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In this example, the database will be created inside the docker instance and will be lost when you will refresh your image.
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### 5. Run a restartable docker image
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To run a restartable instance in the background (feel free to place your
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configuration and database files wherever it feels comfortable on your
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filesystem).
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**5.1. Move your config file and database**
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To run a restartable instance in the background (feel free to place your configuration and database files wherever it feels comfortable on your filesystem).
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#### 5.1. Move your config file and database
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```bash
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mkdir ~/.freqtrade
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mv config.json ~/.freqtrade
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mv tradesv3.sqlite ~/.freqtrade
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```
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**5.2. Run the docker image**
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#### 5.2. Run the docker image
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```bash
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docker run -d \
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--name freqtrade \
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-v ~/.freqtrade/tradesv3.sqlite:/freqtrade/tradesv3.sqlite \
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freqtrade
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```
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If you are using `dry_run=True` it's not necessary to mount
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`tradesv3.sqlite`, but you can mount `tradesv3.dryrun.sqlite` if you
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plan to use the dry run mode with the param `--dry-run-db`.
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If you are using `dry_run=True` it's not necessary to mount `tradesv3.sqlite`, but you can mount `tradesv3.dryrun.sqlite` if you plan to use the dry run mode with the param `--dry-run-db`.
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### 6. Monitor your Docker instance
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You can then use the following commands to monitor and manage your container:
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```bash
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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
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suffice to edit `config.json` and restart the container.
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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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# Linux / MacOS
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## 1. Requirements
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------
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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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### 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/),
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note the bot was not tested on Python >= 3.7.x
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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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- [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html)
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## 2. First install required packages
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This bot require Python 3.6 and TA-LIB
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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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* [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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* [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html)
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### 2.1 Linux - Ubuntu 16.04
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**2.1.1. Install Python 3.6, Git, and wget**
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### Linux - Ubuntu 16.04
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#### 1. 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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sudo apt-get update
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sudo apt-get install python3.6 python3.6-venv build-essential autoconf libtool pkg-config make wget git
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```
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**2.1.2. Install TA-LIB**
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#### 2. Install TA-Lib
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Official webpage: https://mrjbq7.github.io/ta-lib/install.html
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```
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```bash
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wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
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tar xvzf ta-lib-0.4.0-src.tar.gz
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cd ta-lib
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rm -rf ./ta-lib*
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```
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**2.1.3. [Optional] Install MongoDB**
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#### 3. [Optional] Install MongoDB
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Install MongoDB if you plan to optimize your strategy with Hyperopt.
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```bash
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sudo apt-get install mongodb-org
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```
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Complete tutorial on [Digital Ocean: How to Install MongoDB on Ubuntu 16.04](https://www.digitalocean.com/community/tutorials/how-to-install-mongodb-on-ubuntu-16-04)
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### 2.2. Linux - Other distro
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If you are on a different Linux OS you maybe have to adapt things like:
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> Complete tutorial from Digital Ocean: [How to Install MongoDB on Ubuntu 16.04](https://www.digitalocean.com/community/tutorials/how-to-install-mongodb-on-ubuntu-16-04).
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- package manager (for example yum instead of apt-get)
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- package names
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#### 4. Install FreqTrade
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### 2.3. MacOS installation
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Clone the git repository:
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**2.3.1. Install Python 3.6, git and wget**
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```bash
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brew install python3 git wget
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git clone https://github.com/gcarq/freqtrade.git
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```
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**2.3.2. [Optional] Install MongoDB**
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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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#### 5. 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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After that you can start the daemon with:
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```bash
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systemctl --user start freqtrade
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```
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For this to be persistent (run when user is logged out) you'll need to enable `linger` for your freqtrade user.
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```bash
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sudo loginctl enable-linger "$USER"
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```
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### MacOS Installation
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#### 1. Install Python 3.6, git, wget and ta-lib
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```bash
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brew install python3 git wget ta-lib
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```
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#### 2. [Optional] Install MongoDB
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Install MongoDB if you plan to optimize your strategy with Hyperopt.
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```bash
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curl -O https://fastdl.mongodb.org/osx/mongodb-osx-ssl-x86_64-3.4.10.tgz
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tar -zxvf mongodb-osx-ssl-x86_64-3.4.10.tgz
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export PATH=<path_freqtrade>/env/mongodb/bin:$PATH
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```
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## 3. Clone the repo
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The following steps are made for Linux/mac environment
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1. Clone the git `git clone https://github.com/gcarq/freqtrade.git`
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2. (Optional) Checkout the develop branch `git checkout develop`
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#### 3. Install FreqTrade
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## 4. Prepare the bot
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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/gcarq/freqtrade/blob/develop/docs/configuration.md)
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## 5. Setup your virtual env
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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 -r requirements.txt
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pip3.6 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
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in Dry-run `"dry_run": true,` otherwise it will start to buy and sell coins.
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Clone the git repository:
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```bash
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python3.6 ./freqtrade/main.py -c config.json
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git clone https://github.com/gcarq/freqtrade.git
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```
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### Advanced Linux
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**systemd service file**
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Copy `./freqtrade.service` to your systemd user directory (usually `~/.config/systemd/user`)
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and update `WorkingDirectory` and `ExecStart` to match your setup.
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After that you can start the daemon with:
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Optionally checkout the develop branch:
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```bash
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systemctl --user start freqtrade
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git checkout develop
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```
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# Windows
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We do recommend Windows users to use [Docker](#docker) this will work
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much easier and smoother (also safer).
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### Windows
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We recommend that Windows users use [Docker](#docker) as this will work
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much easier and smoother (also more secure).
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## Install freqtrade
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```cmd
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#copy paste config.json to \path\freqtrade-develop\freqtrade
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@ -239,8 +276,41 @@ much easier and smoother (also safer).
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>cd freqtrade
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>python main.py
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```
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*Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/gcarq/freqtrade/issues/222)*
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## Next step
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Now you have an environment ready, the next step is to
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[configure your bot](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md).
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------
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## First Step
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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/gcarq/freqtrade/blob/develop/docs/configuration.md).*
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### 5. 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 -r requirements.txt
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pip3.6 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
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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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## Next Step
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Now you have an environment ready, the next step is
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[Bot Configuration](https://github.com/gcarq/freqtrade/blob/develop/docs/configuration.md)...
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|
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