9.1 KiB
Installation
This page explains how to prepare your environment for running the bot.
Please consider using the prebuilt docker images to get started quickly while trying out freqtrade evaluating how it operates.
Prerequisite
Requirements
Click each one for install guide:
- Python >= 3.7.x
- pip
- git
- virtualenv (Recommended)
- TA-Lib (install instructions below)
We also recommend a Telegram bot, which is optional but recommended.
!!! 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.
Quick start
Freqtrade provides the Linux/MacOS Easy Installation script to install all dependencies and help you configure the bot.
!!! Note Windows installation is explained here.
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.
!!! 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.
This can be achieved with the following commands:
git clone https://github.com/freqtrade/freqtrade.git
cd freqtrade
# git checkout stable # Optional, see (1)
./setup.sh --install
(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.
Easy Installation Script (Linux/MacOS)
If you are on Debian, Ubuntu or MacOS Freqtrade provides the script to install, update, configure and reset the codebase of your bot.
$ ./setup.sh
usage:
-i,--install Install freqtrade from scratch
-u,--update Command git pull to update.
-r,--reset Hard reset your develop/stable branch.
-c,--config Easy config generator (Will override your existing file).
** --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, --reset and --config.
** --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.
** --config **
DEPRECATED - use freqtrade new-config -c config.json instead.
Activate your virtual environment
Each time you open a new terminal, you must run source .env/bin/activate.
Custom Installation
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.
=== "Ubuntu/Debian" #### Install necessary dependencies
```bash
sudo apt-get update
sudo apt-get install build-essential git
```
=== "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
# 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 prebuild 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.
Common
1. Install TA-Lib
Use the provided ta-lib installation script
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
cd ..
rm -rf ./ta-lib*
!!! Note An already downloaded version of ta-lib is included in the repository, as the sourceforge.net source seems to have problems frequently.
2. Setup your Python virtual environment (virtualenv)
!!! Note This step is optional but strongly recommended to keep your system organized
python3 -m venv .env
source .env/bin/activate
3. Install Freqtrade
Clone the git repository:
git clone https://github.com/freqtrade/freqtrade.git
cd freqtrade
git checkout stable
4. Install python dependencies
python3 -m pip install --upgrade pip
python3 -m pip install -e .
5. Initialize the configuration
# Initialize the user_directory
freqtrade create-userdir --userdir user_data/
# Create a new configuration file
freqtrade new-config --config config.json
To edit the config please refer to Bot Configuration.
6. Run the Bot
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.
freqtrade trade -c config.json
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.
7. (Optional) Post-installation Tasks
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 for details.
Anaconda
Freqtrade can also be installed using Anaconda (or Miniconda).
!!! Note This requires the ta-lib C-library to be installed first. See below.
conda env create -f environment.yml
Troubleshooting
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.
Now you have an environment ready, the next step is Bot Configuration.