We strongly 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. Otherwise, try the instructions below.
Install freqtrade manually¶
Make sure to use 64bit Windows and 64bit Python to avoid problems with backtesting or hyperopt due to the memory constraints 32bit applications have under Windows.
Using the Anaconda Distribution under Windows can greatly help with installation problems. Check out the Anaconda installation section in this document for more information.
1. Clone the git repository¶
git clone https://github.com/freqtrade/freqtrade.git
2. Install ta-lib¶
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 pre-compiled windows Wheels here, which need to be downloaded and installed using
pip install TA_Lib-0.4.25-cp38-cp38-win_amd64.whl (make sure to use the version matching your python version).
Freqtrade provides these dependencies for the latest 3 Python versions (3.8, 3.9 and 3.10) and for 64bit Windows. Other versions must be downloaded from the above link.
cd \path\freqtrade python -m venv .env .env\Scripts\activate.ps1 # optionally install ta-lib from wheel # Eventually adjust the below filename to match the downloaded wheel pip install --find-links build_helpers\ TA-Lib -U pip install -r requirements.txt pip install -e . freqtrade
The above installation script assumes you're using powershell on a 64bit windows. Commands for the legacy CMD windows console may differ.
Thanks Owdr for the commands. Source: Issue #222
Error during installation on 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-built wheel. It is therefore mandatory to have a C/C++ compiler installed and available for your python environment to use.
You can download the Visual C++ build tools from here and install "Desktop development with C++" in it's default configuration. Unfortunately, this is a heavy download / dependency so you might want to consider WSL2 or docker compose first.