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@@ -156,9 +156,9 @@ def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame
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Out of the box, freqtrade installs the following technical libraries:
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* [ta-lib](http://mrjbq7.github.io/ta-lib/)
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* [pandas-ta](https://twopirllc.github.io/pandas-ta/)
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* [technical](https://github.com/freqtrade/technical/)
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- [ta-lib](https://ta-lib.github.io/ta-lib-python/)
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- [pandas-ta](https://twopirllc.github.io/pandas-ta/)
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- [technical](https://github.com/freqtrade/technical/)
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Additional technical libraries can be installed as necessary, or custom indicators may be written / invented by the strategy author.
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@@ -22,7 +22,7 @@ git clone https://github.com/freqtrade/freqtrade.git
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### 2. Install ta-lib
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Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
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Install ta-lib according to the [ta-lib documentation](https://github.com/TA-Lib/ta-lib-python#windows).
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As compiling from source on windows has heavy dependencies (requires a partial visual studio installation), Freqtrade provides these dependencies (in the binary wheel format) for the latest 3 Python versions (3.9, 3.10 and 3.11) and for 64bit Windows.
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These Wheels are also used by CI running on windows, and are therefore tested together with freqtrade.
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