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MNT: Adapt examples for updated jupytext behavior

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+15

-5

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Lines changed: 3 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -5,7 +5,7 @@`
`5`	`5`	`# extension: .py`
`6`	`6`	`# format_name: light`
`7`	`7`	`# format_version: '1.3'`
`8`		`-# jupytext_version:0.8.6`
	`8`	`+# jupytext_version:1.0.2`
`9`	`9`	`# kernelspec:`
`10`	`10`	`# display_name: Python 3`
`11`	`11`	`# language: python`
`@@ -51,6 +51,8 @@ def RSI(array, n):`
`51`	`51`	`loss[loss>0]=0`
`52`	`52`	`rs=gain.ewm(n).mean()/loss.abs().ewm(n).mean()`
`53`	`53`	`return100-100/ (1+rs)`
	`54`	`+`
	`55`	`+`
`54`	`56`	`# -`
`55`	`57`
`56`	`58`	`# The strategy roughly goes like this:`

Lines changed: 3 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -6,7 +6,7 @@`
`6`	`6`	`# extension: .py`
`7`	`7`	`# format_name: light`
`8`	`8`	`# format_version: '1.3'`
`9`		`-# jupytext_version:0.8.6`
	`9`	`+# jupytext_version:1.0.2`
`10`	`10`	`# kernelspec:`
`11`	`11`	`# display_name: Python 3`
`12`	`12`	`# language: python`
`@@ -83,6 +83,8 @@ def next(self):`
`83`	`83`	`crossover(self.data.Close,self.sma_exit)):`
`84`	`84`
`85`	`85`	`self.position.close()`
	`86`	`+`
	`87`	`+`
`86`	`88`	`# -`
`87`	`89`
`88`	`90`	`# It's not a robust strategy, but we can optimize it. Let's optimize our strategy on Google stock data.`

Lines changed: 5 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -6,7 +6,7 @@`
`6`	`6`	`# extension: .py`
`7`	`7`	`# format_name: light`
`8`	`8`	`# format_version: '1.3'`
`9`		`-# jupytext_version:0.8.6`
	`9`	`+# jupytext_version:1.0.2`
`10`	`10`	`# kernelspec:`
`11`	`11`	`# display_name: Python 3`
`12`	`12`	`# language: python`
`@@ -58,6 +58,8 @@ def SMA(values, n):`
`58`	`58`	each step taking into account `n` previous values.
`59`	`59`	`"""`
`60`	`60`	`returnpd.Series(values).rolling(n).mean()`
	`61`	`+`
	`62`	`+`
`61`	`63`	`# -`
`62`	`64`
`63`	`65`	`# Note, this is the exact same helper function as the one used in the project unit tests, so we could just import that instead.`
`@@ -99,6 +101,8 @@ def next(self):`
`99`	`101`	`# Else, if sma1 crosses below sma2, sell it`
`100`	`102`	`elifcrossover(self.sma2,self.sma1):`
`101`	`103`	`self.sell()`
	`104`	`+`
	`105`	`+`
`102`	`106`	`# -`
`103`	`107`
`104`	`108`	# In `init()` as well as in `next()`, the data the strategy is simulated on is available as an instance variable

Lines changed: 3 additions & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -5,7 +5,7 @@`
`5`	`5`	`# extension: .py`
`6`	`6`	`# format_name: light`
`7`	`7`	`# format_version: '1.3'`
`8`		`-# jupytext_version:0.8.6`
	`8`	`+# jupytext_version:1.0.2`
`9`	`9`	`# kernelspec:`
`10`	`10`	`# display_name: Python 3`
`11`	`11`	`# language: python`
`@@ -79,6 +79,8 @@ def init(self):`
`79`	`79`	`# Set trailing stop-loss to 4x ATR`
`80`	`80`	`# using the method provided by TrailingStrategy`
`81`	`81`	`self.set_trailing_sl(4)`
	`82`	`+`
	`83`	`+`
`82`	`84`	`# -`
`83`	`85`
`84`	`86`	# Note, since the strategies in _lib_ may require their own intialization and next-tick logic, be sure to always call `super().init()` and `super().next()` in your overridden methods.

Lines changed: 1 addition & 1 deletion

Original file line number	Diff line number	Diff line change
`@@ -38,7 +38,7 @@`
`38`	`38`	`extras_require={`
`39`	`39`	`'doc': [`
`40`	`40`	`'pdoc3',`
`41`		`-'jupytext >=0.7.0',`
	`41`	`+'jupytext >=1.0.2',`
`42`	`42`	`'nbconvert',`
`43`	`43`	`'ipykernel',# for nbconvert`
`44`	`44`	`'jupyter_client',# for nbconvert`

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