ACCUMULATION / DISTRIBUTION PYTHON CODE / PLOTLY

ACCUMULATION / DISTRIBUTION PYTHON CODE / PLOTLY
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Code Snippet: ?

import yfinance as yf
import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots

# Download historical data for hsi Index
dax = yf.download("^gdaxi", start="2022-01-01", end="2023-01-16")

# function to calculate A/D line
def accumulation_distribution(dataframe):
dataframe['money_flow'] = (2 * dataframe['Close'] - dataframe['High'] - dataframe['Low']) / (dataframe['High'] - dataframe['Low']) * dataframe['Volume']
dataframe['A/D'] = dataframe['money_flow'].cumsum()

# call function to calculate A/D line
accumulation_distribution(dax)

fig = make_subplots(rows=2, cols=1,subplot_titles=("Close Prices","A/D Line"),shared_xaxes=True, vertical_spacing=0.1)

# add close prices to the first row of the subplot
fig.add_trace(go.Scatter(x=dax.index, y=dax['Close'], name="Close Prices", line=dict(color='blue', width=1)), row=1, col=1)

# add A/D line
fig.add_trace(go.Scatter(x=dax.index, y=dax['A/D'], name="A/D Line", line=dict(color='green', width=1)), row=2, col=1)
fig.update_yaxes(range=[min(dax['A/D']), max(dax['A/D'])], row=2, col=1)
fig.show()


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#python #probability #statistics