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docs/installation.md
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This page explains how to prepare your environment for running the bot. This page explains how to prepare your environment for running the bot.
Please consider using the prebuilt [docker images](docker.md) to get started quickly while trying out freqtrade evaluating how it operates.
## Prerequisite ## Prerequisite
### Requirements ### Requirements
@ -11,70 +13,78 @@ Click each one for install guide:
* [Python >= 3.6.x](http://docs.python-guide.org/en/latest/starting/installation/) * [Python >= 3.6.x](http://docs.python-guide.org/en/latest/starting/installation/)
* [pip](https://pip.pypa.io/en/stable/installing/) * [pip](https://pip.pypa.io/en/stable/installing/)
* [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) * [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* [virtualenv](https://virtualenv.pypa.io/en/stable/installation/) (Recommended) * [virtualenv](https://virtualenv.pypa.io/en/stable/installation.html) (Recommended)
* [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html) (install instructions below) * [TA-Lib](https://mrjbq7.github.io/ta-lib/install.html) (install instructions below)
### API keys We also recommend a [Telegram bot](telegram-usage.md#setup-your-telegram-bot), which is optional but recommended.
Before running your bot in production you will need to setup few !!! Warning "Up-to-date clock"
external API. In production mode, the bot will require valid Exchange API 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.
credentials. We also recommend a [Telegram bot](telegram-usage.md#setup-your-telegram-bot) (optional but recommended).
### Setup your exchange account
You will need to create API Keys (Usually you get `key` and `secret`) from the Exchange website and insert this into the appropriate fields in the configuration or when asked by the installation script.
## Quick start ## Quick start
Freqtrade provides a Linux/MacOS script to install all dependencies and help you to configure the bot. Freqtrade provides the Linux/MacOS Easy Installation script to install all dependencies and help you configure the bot.
!!! Note
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.
```bash
git clone git@github.com:freqtrade/freqtrade.git
cd freqtrade
git checkout develop
./setup.sh --install
```
!!! Note !!! Note
Windows installation is explained [here](#windows). Windows installation is explained [here](#windows).
## Easy Installation - Linux Script 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.
If you are on Debian, Ubuntu or MacOS freqtrade provides a script to Install, Update, Configure, and Reset your bot. !!! 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
Python3.6 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.
This can be achieved with the following commands:
```bash
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.
```bash ```bash
$ ./setup.sh $ ./setup.sh
usage: usage:
-i,--install Install freqtrade from scratch -i,--install Install freqtrade from scratch
-u,--update Command git pull to update. -u,--update Command git pull to update.
-r,--reset Hard reset your develop/master branch. -r,--reset Hard reset your develop/stable branch.
-c,--config Easy config generator (Will override your existing file). -c,--config Easy config generator (Will override your existing file).
``` ```
** --install ** ** --install **
This script will install everything you need to run the bot: With this option, the script will install the bot and most dependencies:
You will need to have git and python3.6+ installed beforehand for this to work.
* Mandatory software as: `ta-lib` * Mandatory software as: `ta-lib`
* Setup your virtualenv * Setup your virtualenv under `.env/`
* Configure your `config.json` file
This script is a combination of `install script` `--reset`, `--config` This option is a combination of installation tasks, `--reset` and `--config`.
** --update ** ** --update **
Update parameter will pull the last version of your current branch and update your virtualenv. 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 ** ** --reset **
Reset parameter will hard reset your branch (only if you are on `master` or `develop`) and recreate your virtualenv. This option will hard reset your branch (only if you are on either `stable` or `develop`) and recreate your virtualenv.
** --config ** ** --config **
Config parameter is a `config.json` configurator. This script will ask you questions to setup your bot and create your `config.json`. 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`.
------ ------
@ -86,40 +96,50 @@ OS Specific steps are listed first, the [Common](#common) section below is neces
!!! Note !!! Note
Python3.6 or higher and the corresponding pip are assumed to be available. Python3.6 or higher and the corresponding pip are assumed to be available.
### Linux - Ubuntu 16.04 === "Ubuntu 16.04"
#### Install necessary dependencies
#### Install necessary dependencies ```bash
sudo apt-get update
sudo apt-get install build-essential git
```
```bash === "RaspberryPi/Raspbian"
sudo apt-get update The following assumes the latest [Raspbian Buster lite image](https://www.raspberrypi.org/downloads/raspbian/) from at least September 2019.
sudo apt-get install build-essential git This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.
```
#### Raspberry Pi / Raspbian Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.
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](https://repo.continuum.io/miniconda/). ``` bash
sudo apt-get install python3-venv libatlas-base-dev
git clone https://github.com/freqtrade/freqtrade.git
cd freqtrade
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. bash setup.sh -i
It's recommended to use (mini)conda for this as installation/compilation of `numpy`, `scipy` and `pandas` takes a long time. ```
Additional package to install on your Raspbian, `libffi-dev` required by cryptography (from python-telegram-bot). !!! Note "Installation duration"
Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.
``` bash !!! Note
conda config --add channels rpi The above does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
conda install python=3.6 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.
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 .
```
### Common ### Common
#### 1. Install TA-Lib #### 1. Install TA-Lib
Use the provided ta-lib installation script
```bash
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 Official webpage: https://mrjbq7.github.io/ta-lib/install.html
```bash ```bash
@ -147,126 +167,79 @@ python3 -m venv .env
source .env/bin/activate source .env/bin/activate
``` ```
#### 3. Install FreqTrade #### 3. Install Freqtrade
Clone the git repository: Clone the git repository:
```bash ```bash
git clone https://github.com/freqtrade/freqtrade.git git clone https://github.com/freqtrade/freqtrade.git
```
Optionally checkout the master branch to get the latest stable release:
```bash
git checkout master
```
#### 4. Initialize the configuration
```bash
cd freqtrade cd freqtrade
cp config.json.example config.json git checkout stable
``` ```
> *To edit the config please refer to [Bot Configuration](configuration.md).* #### 4. Install python dependencies
#### 5. Install python dependencies
``` bash ``` bash
python3 -m pip install --upgrade pip python3 -m pip install --upgrade pip
pip install numpy
python3 -m pip install -r requirements.txt
python3 -m pip install -e . python3 -m pip install -e .
``` ```
#### 5. Initialize the configuration
```bash
# 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](configuration.md).*
#### 6. Run the Bot #### 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. 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.
```bash ```bash
freqtrade -c config.json freqtrade trade -c config.json
``` ```
*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. *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.
#### 7. [Optional] Configure `freqtrade` as a `systemd` service #### 7. (Optional) Post-installation Tasks
From the freqtrade repo... copy `freqtrade.service` to your systemd user directory (usually `~/.config/systemd/user`) and update `WorkingDirectory` and `ExecStart` to match your setup. 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.
After that you can start the daemon with:
```bash
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.
```bash
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.
The `freqtrade.service.watchdog` file contains an example of the service unit configuration file which uses systemd
as the watchdog.
!!! Note
The sd_notify communication between the bot and the systemd service manager will not work if the bot runs in a Docker container.
------ ------
## Windows ### Anaconda
We recommend that Windows users use [Docker](docker.md) as this will work much easier and smoother (also more secure). Freqtrade can also be installed using Anaconda (or Miniconda).
If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work. !!! Note
If that is not available on your system, feel free to try the instructions below, which led to success for some. This requires the [ta-lib](#1-install-ta-lib) C-library to be installed first. See below.
### Install freqtrade manually
#### Clone the git repository
```bash
git clone https://github.com/freqtrade/freqtrade.git
```
#### Install ta-lib
Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
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](https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib), 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)
```cmd
>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
```
> Thanks [Owdr](https://github.com/Owdr) for the commands. Source: [Issue #222](https://github.com/freqtrade/freqtrade/issues/222)
#### Error during installation under Windows
``` bash ``` bash
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools conda env create -f environment.yml
``` ```
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. -----
## Troubleshooting
The easiest way is to download install Microsoft Visual Studio Community [here](https://visualstudio.microsoft.com/downloads/) 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](docker.md) first. ### 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.
``` bash
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.
-----
Now you have an environment ready, the next step is Now you have an environment ready, the next step is
[Bot Configuration](configuration.md). [Bot Configuration](configuration.md).