Thanks for sharing this work. I try to understand it by running some sscripts. In the script for calculating the 'Accumulation Distribution', it returns the error that I mention in the title.

`import pandas as pd
import yfinance as yf

Accumulation Distribution

def acc_dist(data, trend_periods=21, open_col='Open', high_col='High', low_col='Low', close_col='Close', vol_col='Volume'):
for index, row in data.iterrows():
if row[high_col] != row[low_col]:
ac = ((row[close_col] - row[low_col]) - (row[high_col] - row[close_col])) / (row[high_col] - row[low_col]) * row[vol_col]
else:
ac = 0
data.set_value(index, 'acc_dist', ac)
data['acc_dist_ema' + str(trend_periods)] = data['acc_dist'].ewm(ignore_na=False, min_periods=0, com=trend_periods, adjust=True).mean()

return data

n = 14
data = df = yf.download('AAPL', start= start_day, end = end_day)
data = acc_dist(df_val, trend_periods=21, open_col='Open>', high_col='High', low_col='Low', close_col=nom_val, vol_col='Volume')

`
Me devuelve,

`[100%**] 1 of 1 completed

AttributeError Traceback (most recent call last)
/tmp/ipykernel_2963/3008653052.py in
33
34 data = df = yf.download('AAPL', start= start_day, end = end_day)
---> 35 data = acc_dist(df_val, trend_periods=21, open_col='Open>', high_col='High', low_col='Low', close_col=nom_val, vol_col='Volume')
36

/tmp/ipykernel_2963/3008653052.py in acc_dist(data, trend_periods, open_col, high_col, low_col, close_col, vol_col)
27 else:
28 ac = 0
---> 29 data.set_value(index, 'acc_dist', ac)
30 data['acc_dist_ema' + str(trend_periods)] = data['acc_dist'].ewm(ignore_na=False, min_periods=0, com=trend_periods, adjust=True).mean()
31

~/anaconda3/envs/yfinance/lib/python3.9/site-packages/pandas/core/generic.py in getattr(self, name)
5485 ):
5486 return self[name]
-> 5487 return object.getattribute(self, name)
5488
5489 def setattr(self, name: str, value) -> None:

AttributeError: 'DataFrame' object has no attribute 'set_value'`

What can be the cause?

Dear all. When executing the function that calculates the MACD, it gives me the following error show on the titlle.

`import pandas as pd
import yfinance as yf

def macd(data, period_long=26, period_short=12, period_signal=9, column='Close'):
remove_cols = []
if not 'ema' + str(period_long) in data.columns:
data = ema(data, period_long)
remove_cols.append('ema' + str(period_long))

if not 'ema' + str(period_short) in data.columns:
    data = ema(data, period_short)
    remove_cols.append('ema' + str(period_short))

data['macd_val'] = data['ema' + str(period_short)] - data['ema' + str(period_long)]
data['macd_signal_line'] = data['macd_val'].ewm(ignore_na=False, min_periods=0, com=period_signal, adjust=True).mean()

data = data.drop(remove_cols, axis=1)
    
return data

data = yf.download('AAPL', start= '2016-1-4', end = '2021-12-30')

data = macd(data, period_long=26, period_short=12, period_signal=9, column='Close')
data

NameError Traceback (most recent call last)
/tmp/ipykernel_12947/116451859.py in
21 data = yf.download('AAPL', start= '2016-1-4', end = '2021-12-30')
22
---> 23 data = macd(data, period_long=26, period_short=12, period_signal=9, column='Close')
24 data

/tmp/ipykernel_12947/116451859.py in macd(data, period_long, period_short, period_signal, column)
5 remove_cols = []
6 if not 'ema' + str(period_long) in data.columns:
----> 7 data = ema(data, period_long)
8 remove_cols.append('ema' + str(period_long))
9

NameError: name 'ema' is not defined`

I don't understand this error. I will appreciate clarification

I don't understand this error.

this is definitions.
this is your formula

There was an indentation problem that didn't allow the library to be imported.
problem solved in this version.
I posted and solved the problem here https://stackoverflow.com/questions/53404707/python-import-a-non-standard-library/53404742#53404742

Hi! thank you for the code! looks promissing, cant wait to use it.
Im having problems importing the library though. any suggestions on how to do it?

I posted the problem here:
https://stackoverflow.com/questions/53404707/python-import-a-non-standard-library/53404742#53404742

1. Money Flow Multiplier = [(Close - Low) - (High - Close)] /(High - Low)

2. Money Flow Volume = Money Flow Multiplier x Volume for the Period

3. ADL = Previous ADL + Current Period's Money Flow Volume

4. Chaikin Oscillator = (3-day EMA of ADL) - (10-day EMA of ADL)

Функция не учитывает предыдущее значение ADL, а в целом спасибо!
ADL = Previous ADL + Current Period's Money Flow Volume

def chaikin_oscillator(data, periods_short=3, periods_long=10, high_col='',
low_col='', close_col='', vol_col=''):
ac = pd.Series([])
val_last = 0
for index, row in data.iterrows():
if row[high_col] != row[low_col]:
val = val_last + ((row[close_col] - row[low_col]) - (row[high_col] - row[close_col])) / (row[high_col] - row[low_col]) * row[vol_col]
else:
val = val_last
ac.set_value(index, val)
val_last = val
ema_long = ac.ewm(ignore_na=False, min_periods=0, com=periods_long, adjust=True).mean()
ema_short = ac.ewm(ignore_na=False, min_periods=0, com=periods_short, adjust=True).mean()
data['ch_osc'] = ema_short - ema_long

return data