DOC: Replace old/unstable link with its archive.org snapshot

kernc · kernc · commit cd15caf72eae · 2025-02-17T01:45:52.000+01:00
diff --git a/doc/examples/Multiple Time Frames.ipynb b/doc/examples/Multiple Time Frames.ipynb
@@ -14,7 +14,7 @@
     "[basic framework usage](https://kernc.github.io/backtesting.py/doc/examples/Quick%20Start%20User%20Guide.html).\n",
     "\n",
     "We will put to the test this long-only, supposed\n",
-    "[400%-a-year trading strategy](http://jbmarwood.com/stock-trading-strategy-300/),\n",
+    "[400%-a-year trading strategy](https://web.archive.org/web/20180515044054/http://jbmarwood.com/stock-trading-strategy-300/),\n",
     "which uses daily and weekly\n",
     "[relative strength index](https://en.wikipedia.org/wiki/Relative_strength_index)\n",
     "(RSI) values and moving averages (MA).\n",
diff --git a/doc/examples/Multiple Time Frames.py b/doc/examples/Multiple Time Frames.py
@@ -22,7 +22,7 @@
 # [basic framework usage](https://kernc.github.io/backtesting.py/doc/examples/Quick%20Start%20User%20Guide.html).
 #
 # We will put to the test this long-only, supposed
-# [400%-a-year trading strategy](http://jbmarwood.com/stock-trading-strategy-300/),
+# [400%-a-year trading strategy](https://web.archive.org/web/20180515044054/http://jbmarwood.com/stock-trading-strategy-300/),
 # which uses daily and weekly
 # [relative strength index](https://en.wikipedia.org/wiki/Relative_strength_index)
 # (RSI) values and moving averages (MA).
diff --git a/doc/examples/Quick Start User Guide.ipynb b/doc/examples/Quick Start User Guide.ipynb
@@ -459,7 +459,7 @@
     "Let's create our first strategy to backtest on these Google data, a simple [moving average (MA) cross-over strategy](https://en.wikipedia.org/wiki/Moving_average_crossover).\n",
     "\n",
     "_Backtesting.py_ doesn't ship its own set of _technical analysis indicators_. Users favoring TA should probably refer to functions from proven indicator libraries, such as\n",
-    "[TA-Lib](https://github.com/mrjbq7/ta-lib) or\n",
+    "[TA-Lib](https://github.com/TA-Lib/ta-lib-python) or\n",
     "[Tulipy](https://tulipindicators.org),\n",
     "but for this example, we can define a simple helper moving average function ourselves:"
    ]
diff --git a/doc/examples/Quick Start User Guide.py b/doc/examples/Quick Start User Guide.py
@@ -52,7 +52,7 @@
 # Let's create our first strategy to backtest on these Google data, a simple [moving average (MA) cross-over strategy](https://en.wikipedia.org/wiki/Moving_average_crossover).
 #
 # _Backtesting.py_ doesn't ship its own set of _technical analysis indicators_. Users favoring TA should probably refer to functions from proven indicator libraries, such as
-# [TA-Lib](https://github.com/mrjbq7/ta-lib) or
+# [TA-Lib](https://github.com/TA-Lib/ta-lib-python) or
 # [Tulipy](https://tulipindicators.org),
 # but for this example, we can define a simple helper moving average function ourselves:
 

Original file line number	Diff line number	Diff line change
`@@ -22,7 +22,7 @@`
`22`	`22`	`# [basic framework usage](https://kernc.github.io/backtesting.py/doc/examples/Quick%20Start%20User%20Guide.html).`
`23`	`23`	`#`
`24`	`24`	`# We will put to the test this long-only, supposed`
`25`		`-# [400%-a-year trading strategy](http://jbmarwood.com/stock-trading-strategy-300/),`
	`25`	`+# [400%-a-year trading strategy](https://web.archive.org/web/20180515044054/http://jbmarwood.com/stock-trading-strategy-300/),`
`26`	`26`	`# which uses daily and weekly`
`27`	`27`	`# [relative strength index](https://en.wikipedia.org/wiki/Relative_strength_index)`
`28`	`28`	`# (RSI) values and moving averages (MA).`
Original file line number	Diff line number	Diff line change
`@@ -459,7 +459,7 @@`
`459`	`459`	`"Let's create our first strategy to backtest on these Google data, a simple [moving average (MA) cross-over strategy](https://en.wikipedia.org/wiki/Moving_average_crossover).\n",`
`460`	`460`	`"\n",`
`461`	`461`	`"_Backtesting.py_ doesn't ship its own set of _technical analysis indicators_. Users favoring TA should probably refer to functions from proven indicator libraries, such as\n",`
`462`		`- "[TA-Lib](https://github.com/mrjbq7/ta-lib) or\n",`
	`462`	`+ "[TA-Lib](https://github.com/TA-Lib/ta-lib-python) or\n",`
`463`	`463`	`"[Tulipy](https://tulipindicators.org),\n",`
`464`	`464`	`"but for this example, we can define a simple helper moving average function ourselves:"`
`465`	`465`	`]`
Original file line number	Diff line number	Diff line change
`@@ -52,7 +52,7 @@`
`52`	`52`	`# Let's create our first strategy to backtest on these Google data, a simple [moving average (MA) cross-over strategy](https://en.wikipedia.org/wiki/Moving_average_crossover).`
`53`	`53`	`#`
`54`	`54`	`# _Backtesting.py_ doesn't ship its own set of _technical analysis indicators_. Users favoring TA should probably refer to functions from proven indicator libraries, such as`
`55`		`-# [TA-Lib](https://github.com/mrjbq7/ta-lib) or`
	`55`	`+# [TA-Lib](https://github.com/TA-Lib/ta-lib-python) or`
`56`	`56`	`# [Tulipy](https://tulipindicators.org),`
`57`	`57`	`# but for this example, we can define a simple helper moving average function ourselves:`
`58`	`58`