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inCrypto-toolbox/pandas-technical-indicators (press backspace or delete to remove)I propose this change ` def bollinger_bands(self, df, n):
:param df: pandas.DataFrame
:param n:
:return: pandas.DataFrame
sma = data.rolling(window = n).mean()
std = data.rolling(window ...
akitxu
- Opened on Nov 10, 2021
- #17
Dear all. I propose to replace
#df = df.join(MACD) #df = df.join(MACDsign) #df = df.join(MACDdiff)
for
frames = [MACD, MACDsign, MACDdiff] df = pd.concat(frames, join = inner , axis = 1)
akitxu
- Opened on Nov 8, 2021
- #15
Hi,
Thanks a lot for the code. it s really very helpful.
I was working on the Keltner channel is there any way we can have an option wherein we can provide a multiplier there.
biswajit14
- Opened on Jan 14, 2020
- #14
Accumulation/Distribution = ((Close – Low) – (High – Close)) / (High – Low) * Period Volume
In order to fully understand how the indicator actually works, it is necessary to break this formula down into ...
help wanted
hellobiek
- Opened on Mar 17, 2019
- #10
when calling function like this
dataframe = lib.indicatorCalculations.relative_strength_index(dataframe[ bitcoin ], n=14)
I get the following error
TypeError: Cannot compare type Timestamp with ...
axano
- 2
- Opened on Sep 3, 2018
- #9
getting : Wrong number of items passed 368, placement implies 1
by calling any indicators like so: pandas-technical-indicators.standard_deviation(dataframe,14)
macd2
- Opened on Sep 3, 2018
- #8
Hello guys, I am using: Python 3.6
Before, I implemented this RSI formula and pass df[ Close ] prices and compute the result inside a numpy array:
def rsiFunc(prices, n=14):
deltas = np.diff(prices) ...
bug
help wanted
jorgeog96
- 2
- Opened on Jun 5, 2018
- #6

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