14 KiB
Installation
This page explains how to prepare your environment for running the bot.
The freqtrade documentation describes various ways to install freqtrade
- Docker images (separate page)
- Script Installation
- Manual Installation
- Installation with Conda
Please consider using the prebuilt docker images to get started quickly while evaluating how freqtrade works.
Information
For Windows installation, please use the windows installation guide.
The easiest way to install and run Freqtrade is to clone the bot Github repository and then run the ./setup.sh script, if it's available for your platform.
!!! Note "Version considerations"
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).
!!! Note
Python3.7 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.
Also, python headers (python<yourversion>-dev / python<yourversion>-devel) must be available for the installation to complete successfully.
!!! Warning "Up-to-date clock" 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.
Requirements
These requirements apply to both Script Installation and Manual Installation.
!!! Note "ARM64 systems" If you are running an ARM64 system (like a MacOS M1 or an Oracle VM), please use docker to run freqtrade. While native installation is possible with some manual effort, this is not supported at the moment.
Install guide
- Python >= 3.7.x
- pip
- git
- virtualenv (Recommended)
- TA-Lib (install instructions below)
Install code
We've included/collected install instructions for Ubuntu, MacOS, and Windows. These are guidelines and your success may vary with other distros. OS Specific steps are listed first, the Common section below is necessary for all systems.
!!! Note Python3.7 or higher and the corresponding pip are assumed to be available.
!!! Warning "Python 3.10 support" Due to issues with dependencies, freqtrade is currently unable to support python 3.10. We're working on supporting python 3.10, are however dependant on support from dependencies.
=== "Debian/Ubuntu" #### Install necessary dependencies
```bash
# update repository
sudo apt-get update
# install packages
sudo apt install -y python3-pip python3-venv python3-dev python3-pandas git curl
```
=== "RaspberryPi/Raspbian" The following assumes the latest Raspbian Buster lite image. This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.
Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.
```bash
sudo apt-get install python3-venv libatlas-base-dev cmake curl
# Use pywheels.org to speed up installation
sudo echo "[global]\nextra-index-url=https://www.piwheels.org/simple" > tee /etc/pip.conf
git clone https://github.com/freqtrade/freqtrade.git
cd freqtrade
bash setup.sh -i
```
!!! Note "Installation duration"
Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.
Due to this, we recommend to use the pre-build docker-image for Raspberry, by following the [Docker quickstart documentation](docker_quickstart.md)
!!! Note
The above does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
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.
Freqtrade repository
Freqtrade is an open source crypto-currency trading bot, whose code is hosted on github.com
# Download `develop` branch of freqtrade repository
git clone https://github.com/freqtrade/freqtrade.git
# Enter downloaded directory
cd freqtrade
# your choice (1): novice user
git checkout stable
# your choice (2): advanced user
git checkout develop
(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 (2) develop branch.
You may later switch between branches at any time with the git checkout stable/git checkout develop commands.
??? Note "Install from pypi" An alternative way to install Freqtrade is from pypi. The downside is that this method requires ta-lib to be correctly installed beforehand, and is therefore currently not the recommended way to install Freqtrade.
``` bash
pip install freqtrade
```
Script Installation
First of the ways to install Freqtrade, is to use provided the Linux/MacOS ./setup.sh script, which install all dependencies and help you configure the bot.
Make sure you fulfill the Requirements and have downloaded the Freqtrade repository.
Use /setup.sh -install (Linux/MacOS)
If you are on Debian, Ubuntu or MacOS, freqtrade provides the script to install freqtrade.
# --install, Install freqtrade from scratch
./setup.sh -i
Activate your virtual environment
Each time you open a new terminal, you must run source .env/bin/activate to activate your virtual environment.
# then activate your .env
source ./.env/bin/activate
Congratulations
You are ready, and run the bot
Other options of /setup.sh script
You can as well update, configure and reset the codebase of your bot with ./script.sh
# --update, Command git pull to update.
./setup.sh -u
# --reset, Hard reset your develop/stable branch.
./setup.sh -r
** --install **
With this option, the script will install the bot and most dependencies:
You will need to have git and python3.7+ installed beforehand for this to work.
* Mandatory software as: `ta-lib`
* Setup your virtualenv under `.env/`
This option is a combination of installation tasks and `--reset`
** --update **
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.
** --reset **
This option will hard reset your branch (only if you are on either `stable` or `develop`) and recreate your virtualenv.
Manual Installation
Make sure you fulfill the Requirements and have downloaded the Freqtrade repository.
Install TA-Lib
TA-Lib script installation
sudo ./build_helpers/install_ta-lib.sh
!!! Note This will use the ta-lib tar.gz included in this repository.
TA-Lib manual installation
Official webpage: https://mrjbq7.github.io/ta-lib/install.html
wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
tar xvzf ta-lib-0.4.0-src.tar.gz
cd ta-lib
sed -i.bak "s|0.00000001|0.000000000000000001 |g" src/ta_func/ta_utility.h
./configure --prefix=/usr/local
make
sudo make install
# On debian based systems (debian, ubuntu, ...) - updating ldconfig might be necessary.
sudo ldconfig
cd ..
rm -rf ./ta-lib*
Setup Python virtual environment (virtualenv)
You will run freqtrade in separated virtual environment
# create virtualenv in directory /freqtrade/.env
python3 -m venv .env
# run virtualenv
source .env/bin/activate
Install python dependencies
python3 -m pip install --upgrade pip
python3 -m pip install -e .
Congratulations
You are ready, and run the bot
(Optional) Post-installation Tasks
!!! Note
If you run the bot on a server, you should consider using Docker or a terminal multiplexer like screen or tmux to avoid that the bot is stopped on logout.
On Linux with software suite systemd, 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 for details.
Installation with Conda
Freqtrade can also be installed with Miniconda or Anaconda. We recommend using Miniconda as it's installation footprint is smaller. Conda will automatically prepare and manage the extensive library-dependencies of the Freqtrade program.
What is Conda?
Conda is a package, dependency and environment manager for multiple programming languages: conda docs
Installation with conda
Install Conda
Answer all questions. After installation, it is mandatory to turn your terminal OFF and ON again.
Freqtrade download
Download and install freqtrade.
# download freqtrade
git clone https://github.com/freqtrade/freqtrade.git
# enter downloaded directory 'freqtrade'
cd freqtrade
Freqtrade install: Conda Environment
Prepare conda-freqtrade environment, using file environment.yml, which exist in main freqtrade directory
conda env create -n freqtrade-conda -f environment.yml
!!! Note "Creating Conda Environment"
The conda command create -n automatically installs all nested dependencies for the selected libraries, general structure of installation command is:
```bash
# choose your own packages
conda env create -n [name of the environment] [python version] [packages]
# point to file with packages
conda env create -n [name of the environment] -f [file]
```
Enter/exit freqtrade-conda environment
To check available environments, type
conda env list
Enter installed environment
# enter conda environment
conda activate freqtrade-conda
# exit conda environment - don't do it now
conda deactivate
Install last python dependencies with pip
python3 -m pip install --upgrade pip
python3 -m pip install -e .
Congratulations
You are ready, and run the bot
Important shortcuts
# list installed conda environments
conda env list
# activate base environment
conda activate
# activate freqtrade-conda environment
conda activate freqtrade-conda
#deactivate any conda environments
conda deactivate
Further info on anaconda
!!! Info "New heavy packages" It may happen that creating a new Conda environment, populated with selected packages at the moment of creation takes less time than installing a large, heavy library or application, into previously set environment.
!!! Warning "pip install within conda" The documentation of conda says that pip should NOT be used within conda, because internal problems can occur. However, they are rare. Anaconda Blogpost
Nevertheless, that is why, the `conda-forge` channel is preferred:
* more libraries are available (less need for `pip`)
* `conda-forge` works better with `pip`
* the libraries are newer
Happy trading!
You are ready
You've made it this far, so you have successfully installed freqtrade.
Initialize the configuration
# Step 1 - Initialize user folder
freqtrade create-userdir --userdir user_data
# Step 2 - Create a new configuration file
freqtrade new-config --config config.json
You are ready to run, read Bot Configuration, remember to start with dry_run: True and verify that everything is working.
To learn how to setup your configuration, please refer to the Bot Configuration documentation page.
Start the Bot
freqtrade trade --config config.json --strategy SampleStrategy
!!! Warning You should read through the rest of the documentation, backtest the strategy you're going to use, and use dry-run before enabling trading with real money.
Troubleshooting
Common problem: "command not found"
If you used (1)Script or (2)Manual installation, you need to run the bot in virtual environment. If you get error as below, make sure venv is active.
# if:
bash: freqtrade: command not found
# then activate your .env
source ./.env/bin/activate
MacOS installation error
Newer versions of MacOS may have installation failed with errors like error: command 'g++' failed with exit status 1.
This error will require explicit installation of the SDK Headers, which are not installed by default in this version of MacOS. For MacOS 10.14, this can be accomplished with the below command.
open /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
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.
MacOS installation error with python 3.9
When using python 3.9 on macOS, it's currently necessary to install some os-level modules to allow dependencies to compile.
The errors you'll see happen during installation and are related to the installation of tables or blosc.
You can install the necessary libraries with the following command:
brew install hdf5 c-blosc
After this, please run the installation (script) again.