CI: Fix CI/docs breakage with sites banning bot access

Author: kernc

backtesting/backtesting.py

@@ -395,7 +395,7 @@ class Order:
     All placed orders are [Good 'Til Canceled].
 
     [filled]: https://www.investopedia.com/terms/f/fill.asp
-    [Good 'Til Canceled]: https://www.investopedia.com/terms/g/gtc.asp
+    [Good 'Til Canceled]: https://en.wikipedia.org/wiki/Order_(exchange)#Time_in_force
     """
     def __init__(self, broker: '_Broker',
                  size: float,
@@ -463,8 +463,8 @@ def limit(self) -> Optional[float]:
         Order limit price for [limit orders], or None for [market orders],
         which are filled at next available price.
 
-        [limit orders]: https://www.investopedia.com/terms/l/limitorder.asp
-        [market orders]: https://www.investopedia.com/terms/m/marketorder.asp
+        [limit orders]: https://en.wikipedia.org/wiki/Order_(exchange)#Limit_order
+        [market orders]: https://en.wikipedia.org/wiki/Order_(exchange)#Market_order
         """
         return self.__limit_price
 
@@ -474,7 +474,7 @@ def stop(self) -> Optional[float]:
         Order stop price for [stop-limit/stop-market][_] order,
         otherwise None if no stop was set, or the stop price has already been hit.
 
-        [_]: https://www.investopedia.com/terms/s/stoporder.asp
+        [_]: https://en.wikipedia.org/wiki/Order_(exchange)#Stop_orders
         """
         return self.__stop_price
 
@@ -532,7 +532,7 @@ def is_contingent(self):
         You can modify contingent orders through `Trade.sl` and `Trade.tp`.
 
         [contingent]: https://www.investopedia.com/terms/c/contingentorder.asp
-        [OCO]: https://www.investopedia.com/terms/o/oco.asp
+        [OCO]: https://en.wikipedia.org/wiki/Order_(exchange)#One_cancels_other_orders
         """
         return bool((parent := self.__parent_trade) and
                     (self is parent._sl_order or
@@ -1374,7 +1374,7 @@ def optimize(self, *,
         `backtesting.backtesting.Backtest.run`-returned results series,
         or a function that accepts this series object and returns a number;
         the higher the better. By default, the method maximizes
-        Van Tharp's [System Quality Number](https://google.com/search?q=System+Quality+Number).
+        Van Tharp's [System Quality Number](https://altpower.app/?q=System+Quality+Number).
 
         `method` is the optimization method. Currently two methods are supported:
 

backtesting/lib.py

@@ -378,7 +378,7 @@ class SignalStrategy(Strategy):
     This makes the backtest of the strategy simulate a [vectorized backtest].
     See [tutorials] for usage examples.
 
-    [vectorized backtest]: https://www.google.com/search?q=vectorized+backtest
+    [vectorized backtest]: https://altpower.app/?q=vectorized+backtest
     [tutorials]: index.html#tutorials
 
     To use this helper strategy, subclass it, override its

doc/build.sh

@@ -69,7 +69,13 @@ echo 'Testing for broken links'
 echo
 problematic_urls='
 https://www.gnu.org/licenses/agpl-3.0.html
+https://www.investopedia.com/terms/c/contingentorder.asp
+https://www.investopedia.com/terms/n/nfa-compliance-rule-2-43b.asp
+https://www.investopedia.com/terms/b/backtesting.asp
+https://altpower.app/?q=vectorized+backtest
+https://altpower.app/?q=System+Quality+Number
 '
+user_agent='Mozilla/5.0 (X11; Linux x86_64; rv:152.0) Gecko/20100101 Firefox/152.0'
 pushd "$BUILDROOT" >/dev/null
 WEBSITE='https://kernc\.github\.io/backtesting\.py'
 grep -PR '<a .*?href=' |
@@ -100,7 +106,7 @@ print(html.unescape(unquote(sys.argv[-1])))' "$url")"
             url="${url// /%20}"
             echo "$url"
             curl --silent --fail --retry 2 --retry-delay 2 --connect-timeout 10 \
-                    --user-agent 'Mozilla/5.0 Firefox 128' "$url" >/dev/null 2>&1 ||
+                    --user-agent "$user_agent" "$url" >/dev/null 2>&1 ||
                 grep -qF "$url" <(echo "$problematic_urls") ||
                 die "broken link in $file:  $url"
         done

doc/examples/Multiple Time Frames.ipynb

@@ -9,7 +9,7 @@
     "\n",
     "Best trading strategies that rely on technical analysis might take into account price action on multiple time frames.\n",
     "This tutorial will show how to do that with _backtesting.py_, offloading most of the work to\n",
-    "[pandas resampling](http://pandas.pydata.org/pandas-docs/stable/timeseries.html#resampling).\n",
+    "[pandas resampling](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#resampling).\n",
     "It is assumed you're already familiar with\n",
     "[basic framework usage](https://kernc.github.io/backtesting.py/doc/examples/Quick%20Start%20User%20Guide.html).\n",
     "\n",

doc/examples/Multiple Time Frames.py

@@ -18,7 +18,7 @@
 #
 # Best trading strategies that rely on technical analysis might take into account price action on multiple time frames.
 # This tutorial will show how to do that with _backtesting.py_, offloading most of the work to
-# [pandas resampling](http://pandas.pydata.org/pandas-docs/stable/timeseries.html#resampling).
+# [pandas resampling](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#resampling).
 # It is assumed you're already familiar with
 # [basic framework usage](https://kernc.github.io/backtesting.py/doc/examples/Quick%20Start%20User%20Guide.html).
 #