This page explains how to prepare your environment for running the bot.
Click each one for install guide:
Before running your bot in production you will need to setup few external API. In production mode, the bot will require valid Exchange API credentials. We also recommend a Telegram bot (optional but recommended).
Setup your exchange account¶
You will need to create API Keys (Usually you get
secret) from the Exchange website and insert this into the appropriate fields in the configuration or when asked by the installation script.
Freqtrade provides a Linux/MacOS script to install all dependencies and help you to configure the bot.
Python3.6 or higher and the corresponding pip are assumed to be available. The install-script will warn and stop if that's not the case.
git clone [email protected]:freqtrade/freqtrade.git cd freqtrade git checkout develop ./setup.sh --install
Windows installation is explained here.
Easy Installation - Linux Script¶
If you are on Debian, Ubuntu or MacOS freqtrade provides a script to Install, Update, Configure, and Reset your bot.
$ ./setup.sh usage: -i,--install Install freqtrade from scratch -u,--update Command git pull to update. -r,--reset Hard reset your develop/master branch. -c,--config Easy config generator (Will override your existing file).
This script will install everything you need to run the bot:
- Mandatory software as:
- Setup your virtualenv
- Configure your
This script is a combination of
Update parameter will pull the last version of your current branch and update your virtualenv.
Reset parameter will hard reset your branch (only if you are on
develop) and recreate your virtualenv.
Config parameter is a
config.json configurator. This script will ask you questions to setup your bot and create your
We've included/collected install instructions for Ubuntu 16.04, 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.
Python3.6 or higher and the corresponding pip are assumed to be available.
Linux - Ubuntu 16.04¶
Install necessary dependencies¶
sudo apt-get update sudo apt-get install build-essential git
Raspberry Pi / Raspbian¶
Before installing FreqTrade on a Raspberry Pi running the official Raspbian Image, make sure you have at least Python 3.6 installed. The default image only provides Python 3.5. Probably the easiest way to get a recent version of python is miniconda.
The following assumes that miniconda3 is installed and available in your environment. Last miniconda3 installation file use python 3.4, we will update to python 3.6 on this installation.
It's recommended to use (mini)conda for this as installation/compilation of
pandas takes a long time.
Additional package to install on your Raspbian,
libffi-dev required by cryptography (from python-telegram-bot).
conda config --add channels rpi conda install python=3.6 conda create -n freqtrade python=3.6 conda activate freqtrade conda install scipy pandas numpy sudo apt install libffi-dev python3 -m pip install -r requirements-common.txt python3 -m pip install -e .
1. Install TA-Lib¶
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*
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)¶
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
Optionally checkout the master branch to get the latest stable release:
git checkout master
4. Initialize the configuration¶
cd freqtrade cp config.json.example config.json
To edit the config please refer to Bot Configuration.
5. Install python dependencies¶
python3 -m pip install --upgrade pip python3 -m pip install -r requirements.txt python3 -m pip install -e .
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 -c config.json
7. [Optional] Configure
freqtrade as a
From the freqtrade repo... copy
freqtrade.service to your systemd user directory (usually
~/.config/systemd/user) and update
ExecStart to match your setup.
After that you can start the daemon with:
systemctl --user start freqtrade
For this to be persistent (run when user is logged out) you'll need to enable
linger for your freqtrade user.
sudo loginctl enable-linger "$USER"
If you run the bot as a service, you can use systemd service manager as a software watchdog monitoring freqtrade bot
state and restarting it in the case of failures. If the
internals.sd_notify parameter is set to true in the
configuration or the
--sd-notify command line option is used, the bot will send keep-alive ping messages to systemd
using the sd_notify (systemd notifications) protocol and will also tell systemd its current state (Running or Stopped)
when it changes.
freqtrade.service.watchdog file contains an example of the service unit configuration file which uses systemd
as the watchdog.
The sd_notify communication between the bot and the systemd service manager will not work if the bot runs in a Docker container.
We recommend that Windows users use Docker as this will work much easier and smoother (also more secure).
If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work. If that is not available on your system, feel free to try the instructions below, which led to success for some.
Install freqtrade manually¶
Clone the git repository¶
git clone https://github.com/freqtrade/freqtrade.git
Install ta-lib according to the ta-lib documentation.
As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), there is also a repository of unofficial precompiled windows Wheels here, which needs to be downloaded and installed using
pip install TA_Lib‑0.4.17‑cp36‑cp36m‑win32.whl (make sure to use the version matching your python version)
>cd \path\freqtrade-develop >python -m venv .env >cd .env\Scripts >activate.bat >cd \path\freqtrade-develop REM optionally install ta-lib from wheel REM >pip install TA_Lib‑0.4.17‑cp36‑cp36m‑win32.whl >pip install -r requirements.txt >pip install -e . >python freqtrade\main.py
Error during installation under Windows¶
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools
Unfortunately, many packages requiring compilation don't provide a pre-build wheel. It is therefore mandatory to have a C/C++ compiler installed and available for your python environment to use.
The easiest way is to download install Microsoft Visual Studio Community here and make sure to install "Common Tools for Visual C++" to enable building c code on Windows. Unfortunately, this is a heavy download / dependency (~4Gb) so you might want to consider WSL or docker first.
Now you have an environment ready, the next step is Bot Configuration.