mirror of
https://github.com/freqtrade/freqtrade.git
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246 lines
8.3 KiB
Markdown
246 lines
8.3 KiB
Markdown
# Installation
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This page explains how to prepare your environment for running the bot.
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Please consider using the prebuilt [docker images](docker.md) to get started quickly while trying out freqtrade evaluating how it operates.
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## Prerequisite
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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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* [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.html) (Recommended)
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* [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html) (install instructions below)
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We also recommend a [Telegram bot](telegram-usage.md#setup-your-telegram-bot), which is optional but recommended.
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!!! Warning "Up-to-date clock"
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The clock on the system running the bot must be accurate, synchronized to a NTP server frequently enough to avoid problems with communication to the exchanges.
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## Quick start
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Freqtrade provides the Linux/MacOS Easy Installation script to install all dependencies and help you configure the bot.
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!!! Note
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Windows installation is explained [here](#windows).
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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.
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!!! Note "Version considerations"
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When cloning the repository the default working branch has the name `develop`. This branch contains all last features (can be considered as relatively stable, thanks to automated tests). The `stable` branch contains the code of the last release (done usually once per month on an approximately one week old snapshot of the `develop` branch to prevent packaging bugs, so potentially it's more stable).
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!!! Note
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Python3.6 or higher and the corresponding `pip` are assumed to be available. The install-script will warn you and stop if that's not the case. `git` is also needed to clone the Freqtrade repository.
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This can be achieved with the following commands:
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```bash
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git clone https://github.com/freqtrade/freqtrade.git
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cd freqtrade
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# git checkout stable # Optional, see (1)
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./setup.sh --install
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```
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(1) This command switches the cloned repository to the use of the `stable` branch. It's not needed if you wish to stay on the `develop` branch. You may later switch between branches at any time with the `git checkout stable`/`git checkout develop` commands.
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## Easy Installation Script (Linux/MacOS)
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If you are on Debian, Ubuntu or MacOS Freqtrade provides the script to install, update, configure and reset the codebase of your bot.
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```bash
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$ ./setup.sh
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usage:
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-i,--install Install freqtrade from scratch
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-u,--update Command git pull to update.
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-r,--reset Hard reset your develop/stable branch.
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-c,--config Easy config generator (Will override your existing file).
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```
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** --install **
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With this option, the script will install the bot and most dependencies:
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You will need to have git and python3.6+ installed beforehand for this to work.
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* Mandatory software as: `ta-lib`
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* Setup your virtualenv under `.env/`
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This option is a combination of installation tasks, `--reset` and `--config`.
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** --update **
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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.
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** --reset **
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This option will hard reset your branch (only if you are on either `stable` or `develop`) and recreate your virtualenv.
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** --config **
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DEPRECATED - use `freqtrade new-config -c config.json` instead.
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### Activate your virtual environment
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Each time you open a new terminal, you must run `source .env/bin/activate`.
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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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OS Specific steps are listed first, the [Common](#common) section below is necessary for all systems.
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!!! Note
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Python3.6 or higher and the corresponding pip are assumed to be available.
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=== "Ubuntu 16.04"
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#### Install necessary dependencies
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```bash
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sudo apt-get update
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sudo apt-get install build-essential git
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```
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=== "RaspberryPi/Raspbian"
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The following assumes the latest [Raspbian Buster lite image](https://www.raspberrypi.org/downloads/raspbian/) from at least September 2019.
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This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.
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Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.
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``` bash
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sudo apt-get install python3-venv libatlas-base-dev
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git clone https://github.com/freqtrade/freqtrade.git
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cd freqtrade
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bash setup.sh -i
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```
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!!! Note "Installation duration"
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Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.
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!!! Note
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The above does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
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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.
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### Common
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#### 1. Install TA-Lib
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Use the provided ta-lib installation script
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```bash
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sudo ./build_helpers/install_ta-lib.sh
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```
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!!! Note
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This will use the ta-lib tar.gz included in this repository.
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##### TA-Lib manual installation
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Official webpage: https://mrjbq7.github.io/ta-lib/install.html
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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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sed -i.bak "s|0.00000001|0.000000000000000001 |g" src/ta_func/ta_utility.h
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./configure --prefix=/usr/local
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make
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sudo make install
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cd ..
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rm -rf ./ta-lib*
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```
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!!! Note
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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
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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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cd freqtrade
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git checkout stable
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```
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#### 4. Install python dependencies
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``` bash
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python3 -m pip install --upgrade pip
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python3 -m pip install -e .
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```
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#### 5. Initialize the configuration
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```bash
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# Initialize the user_directory
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freqtrade create-userdir --userdir user_data/
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# Create a new configuration file
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freqtrade new-config --config config.json
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```
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> *To edit the config please refer to [Bot Configuration](configuration.md).*
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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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freqtrade trade -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](docker.md) or 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) Post-installation Tasks
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On Linux, as an optional post-installation task, you may wish to setup the bot to run as a `systemd` service or configure it to send the log messages to the `syslog`/`rsyslog` or `journald` daemons. See [Advanced Logging](advanced-setup.md#advanced-logging) for details.
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------
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### Anaconda
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Freqtrade can also be installed using Anaconda (or Miniconda).
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!!! Note
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This requires the [ta-lib](#1-install-ta-lib) C-library to be installed first. See below.
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``` bash
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conda env create -f environment.yml
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```
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-----
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## Troubleshooting
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### MacOS installation error
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Newer versions of MacOS may have installation failed with errors like `error: command 'g++' failed with exit status 1`.
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This error will require explicit installation of the SDK Headers, which are not installed by default in this version of MacOS.
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For MacOS 10.14, this can be accomplished with the below command.
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``` bash
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open /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
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```
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If this file is inexistent, then you're probably on a different version of MacOS, so you may need to consult the internet for specific resolution details.
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-----
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Now you have an environment ready, the next step is
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[Bot Configuration](configuration.md).
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