diff --git a/docs/strategy-customization.md b/docs/strategy-customization.md
index 3b21d9c4d..b203d6d3b 100644
--- a/docs/strategy-customization.md
+++ b/docs/strategy-customization.md
@@ -156,9 +156,9 @@ def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame
 
 Out of the box, freqtrade installs the following technical libraries:
 
-* [ta-lib](http://mrjbq7.github.io/ta-lib/)
-* [pandas-ta](https://twopirllc.github.io/pandas-ta/)
-* [technical](https://github.com/freqtrade/technical/)
+- [ta-lib](https://ta-lib.github.io/ta-lib-python/)
+- [pandas-ta](https://twopirllc.github.io/pandas-ta/)
+- [technical](https://github.com/freqtrade/technical/)
 
 Additional technical libraries can be installed as necessary, or custom indicators may be written / invented by the strategy author.
 
diff --git a/docs/windows_installation.md b/docs/windows_installation.md
index 5ac3d5e3d..cd9007d98 100644
--- a/docs/windows_installation.md
+++ b/docs/windows_installation.md
@@ -22,7 +22,7 @@ git clone https://github.com/freqtrade/freqtrade.git
 
 ### 2. Install ta-lib
 
-Install ta-lib according to the [ta-lib documentation](https://github.com/mrjbq7/ta-lib#windows).
+Install ta-lib according to the [ta-lib documentation](https://github.com/TA-Lib/ta-lib-python#windows).
 
 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.
 These Wheels are also used by CI running on windows, and are therefore tested together with freqtrade.