Ichimoku indicator about technical

[berlinguyinca]

Has been in there forever

…

On Thu, Oct 24, 2019, 12:56 PM sidnicholas ***@***.***> wrote: I am interested in using the Ichimoku indicator but it looks like it's not yet available in the package. Do you know when it will be available? Also, I am novice at python. I know how to figure things out but I'm sure it takes me quite a bit longer to resolve issues than it does most developers. You mentioned that you would like to some help with adding more indicators. It's something I would like to help with although I am sure I would need some guidance. Thanks — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#52?email_source=notifications&email_token=AAAD73ABR5SEMHVMA5WLVTTQQH4YJA5CNFSM4JEZ2F7KYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HUGZDWQ>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAAD73CNBP7T4UXYJOIUWHLQQH4YJANCNFSM4JEZ2F7A> .

[hroff-1902]

technical/technical/indicators.py

Lines 670 to 708 in 57ee5d0

	def ichimoku(dataframe, conversion_line_period=20, base_line_periods=60,
	laggin_span=120, displacement=30):
	"Ichimoku cloud indicator"
	df = dataframe.copy()
	high_9 = df['high'].rolling(window=conversion_line_period).max()
	low_9 = df['low'].rolling(window=conversion_line_period).min()
	df['tenkan_sen'] = (high_9 + low_9) / 2
	high_26 = df['high'].rolling(window=base_line_periods).max()
	low_26 = df['low'].rolling(window=base_line_periods).min()
	df['kijun_sen'] = (high_26 + low_26) / 2
	# this is to extend the 'df' in future for 26 days
	# the 'df' here is numerical indexed df
	last_index = df.iloc[-1:].index[0]
	last_date = df['date'].iloc[-1].date()
	df['senkou_span_a'] = ((df['tenkan_sen'] + df['kijun_sen']) / 2).shift(26)
	high_52 = df['high'].rolling(window=laggin_span).max()
	low_52 = df['low'].rolling(window=laggin_span).min()
	df['senkou_span_b'] = ((high_52 + low_52) / 2).shift(displacement)
	# most charting softwares dont plot this line
	df['chikou_span'] = df['close'].shift(-displacement) # sometimes -26
	return {
	'tenkan_sen': df['tenkan_sen'],
	'kijun_sen': df['kijun_sen'],
	'senkou_span_a': df['senkou_span_a'],
	'senkou_span_b': df['senkou_span_b'],
	'chikou_span': df['chikou_span'],
	'cloud_green': df['senkou_span_a'] > df['senkou_span_b'],
	'cloud_red': df['senkou_span_b'] > df['senkou_span_a']
	}

[sidnicholas]

Thanks! Let me know if there's anything I can do to help move things along.