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DOC: Replace old/unstable link with its archive.org snapshot
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kernc committed Feb 17, 2025
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2 changes: 1 addition & 1 deletion doc/examples/Multiple Time Frames.ipynb
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"[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",
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2 changes: 1 addition & 1 deletion doc/examples/Multiple Time Frames.py
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# [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).
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2 changes: 1 addition & 1 deletion doc/examples/Quick Start User Guide.ipynb
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"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:"
]
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2 changes: 1 addition & 1 deletion doc/examples/Quick Start User Guide.py
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# 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:

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