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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:

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.

Conda (Miniconda or Anaconda)

Freqtrade can also be installed with Miniconda or Anaconda. Conda is a package manager and virtual environment manager in one. The purpose of installing Conda (Miniconda or Anaconda) is to automatically prepare and manage the extensive library dependencies of the Freqtrade program.

You can start with any clean distribution of Debian-based Linux distributions, which includes Ubuntu Linux. For other popular Linux distributions, see: https://distrowatch.com/ or https://www.ubuntupit.com/best-debian-based-linux-distributions/

Installation requirement: Your Linux is a Debian based distribution with bash terminal

To get know more about Conda check : https://linuxnetmag.com/miniconda-vs-anaconda/

Shortly : Conda < Miniconda < Anaconda

https://www.dunderdata.com/blog/anaconda-is-bloated-set-up-a-lean-robust-data-science-environment-with-miniconda-and-conda-forge

The difference lies in the number of packages that need to be installed upfront: how heavy/light the installation is. Difference is like ~1:8. It is recommended to install Miniconda instead of Anaconda.

1. Instal Conda

Download conda file:

installation file of chosen distribution you can find here

https://docs.conda.io/en/latest/miniconda.html

Verify file integrity with SHA256 checksum:

official SHA256 checksum can be found here

https://docs.conda.io/en/latest/miniconda_hashes.html

Navigate to the directory with your file, and run SHA256 checksum of your file, check with following command

sha256sum ./Miniconda3-number-of-the-package

both checksum suppose to match

Install conda:

While in directory with your file, install conda

bash ./Miniconda3-number-of-the-package

Confirm with yes all questions

After installation, it is mandatory to turn your terminal OFF and ON again.

CTRL + D (close terminal), CTRL + ALT + T (open terminal)

2. Prepare Conda environment

enter the conda base environment:

conda activate base

If you want, you can prevent the (base) conda environment from being activated automatically as well.

conda config --set auto_activate_base false
Change the channels with upgrades:

Conda as a package manager can download new packages from "channels". The best developed Conda channel, is not the default channel and is called conda-forge. The code below switches to it.

# adding forge
conda config --env --add channels conda-forge

# make it strict
conda config --env --set channel_priority strict

You can check the status of conda with the following code.

conda info
conda config --show channels
conda config --show channel_priority

3. Freqtrade Conda Environment

Now you have conda, but only base environment,

conda env list

It is time to setup environment of the Freqtrade itself:

Conda create command, installs all nested dependencies, for the selected libraries automatically

general structure of installation command is:

conda create -n [name of the environment] [python version] [packages]

so it can be

conda create -n freqtrade-conda python=3.8 pandas numpy ta-lib git wheel virtualenv

or if you expect, to use later jupiter for data-analysis, use

conda create -n freqtrade-jupyter-conda python=3.8 pandas numpy ta-lib git wheel virtualenv jupyter

the same works for docker, for spyder and other useful programs.

Further read on the topic:

https://towardsdatascience.com/a-guide-to-conda-environments-bc6180fc533?gi=1db972389cd1

https://metager.de/meta/meta.ger3?eingabe=ardsdatascience+guide+to+conda+environment

!!! NOTE: 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 dependent package into the old environment, takes less time than installing a large, heavy dependent package into the old environment.

Enter/exit freqtrade-conda venv:

to enter choosen conda environment

conda activate freqtrade-conda

to exit conda environment

conda deactivate

4. Freqtrade Instalation

Within the newly created freqtrade-conda environment, download and install Freqtrade. To process --install command, may take a few minutes

# download freqtrade
git clone https://github.com/freqtrade/freqtrade.git

# enter downloaded directory 'freqtrade'
cd freqtrade      

# run setup
./setup.sh --install

Create virtual environment (yes, python3-venv environment, inside conda-environment), where Freqtrade program can run.

Running python3-venv seems to be requirement of the Freqtrade program itself.

# create venv environment, inside hidden directory /freqtrede/.env
python3 -m venv ./.env/

# run the python3-venv environment
source ./.env/bin/activate

# install last required package            
pip install -e .
pip install within conda, a reminder:

The documentation of conda says that pip should NOT be used within conda, because internal problems can occur. However, they are rare

That is, why the conda-forge channel is preferred: (and if no library is available in conda, you have to use pip)

  • more libraries are available (less need for pip)
  • conda-forge works better with pip
  • the libraries are newer

5. You are ready

You are ready to run, create the user directory and configuration file, run the program dry to verify that everything is working, and run a backtest to double check.

freqtrade create-userdir --userdir user_data
freqtrade new-config --config config.json
freqtrade download-data -t 5m 15m 1h --days 100
freqtrade trade --strategy SampleStrategy  
freqtrade backtesting -s SampleStrategy

important shortcuts

# activate base environment
conda activate

# activate freqtrade-conda environment
conda activate freqtrade-conda

#deactivate any conda environments
conda deactivate

# list installed conda environments
conda env list

# activation/deactivate the venv
source ./.env/bin/activate
deactivate

Happy trading!

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.