Update raspbian install documentation
Fix "box" titles ... they need to be in quotes!
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@@ -97,27 +97,24 @@ sudo apt-get install build-essential git
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#### Raspberry Pi / Raspbian
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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/).
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The following assumes the latest [Raspbian Buster lite image](https://www.raspberrypi.org/downloads/raspbian/) from at least September 2019.
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This image comes with python3.7 preinstalled, making it easy to get freqtrade up and running.
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The following assumes that miniconda3 is installed and available in your environment. Since the last miniconda3 installation file uses python 3.4, we will update to python 3.6 on this installation.
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It's recommended to use (mini)conda for this as installation/compilation of `numpy` and `pandas` takes a long time.
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Additional package to install on your Raspbian, `libffi-dev` required by cryptography (from python-telegram-bot).
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Tested using a Raspberry Pi 3 with the Raspbian Buster lite image, all updates applied.
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``` bash
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conda config --add channels rpi
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conda install python=3.6
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conda create -n freqtrade python=3.6
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conda activate freqtrade
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conda install pandas numpy
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sudo apt-get install python3-venv libatlas-base-dev
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git clone https://github.com/freqtrade/freqtrade.git
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cd freqtrade
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sudo apt install libffi-dev
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python3 -m pip install -r requirements-common.txt
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python3 -m pip install -e .
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bash setup.sh -i
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```
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!!! Note "Installation duration"
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Depending on your internet speed and the Raspberry Pi version, installation can take multiple hours to complete.
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!!! Note
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This does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
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The above does not install hyperopt dependencies. To install these, please use `python3 -m pip install -e .[hyperopt]`.
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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.
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### Common
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