volprofile 1.0.1

calculate the volume profile in a flexible manner!

Installation

pip install volprofile

Volume Profile Analysis Package

This package provides functions for analyzing volume profile data using Python. The package includes the following functions:

Functions

getVP(df: pd.DataFrame, nBins: int = 20) -> pd.DataFrame

This function takes a Pandas DataFrame with columns price and volume, and returns a DataFrame consisting of minPrice, maxPrice, and aggregateVolume for each price bin.

getVPWithOHLC(df: pd.DataFrame, nBins: int = 20) -> pd.DataFrame

This function takes a Pandas DataFrame with columns open, high, low, close, and volume, and returns a DataFrame consisting of minPrice, maxPrice, and aggregateVolume for each price bin. It uses the OHLC data to calculate more accurate price bins.

getKMaxBars(volprofile_result: pd.DataFrame, k: int) -> pd.DataFrame

This function takes a DataFrame generated by getVP or getVPWithOHLC, and returns the top k price bins with the highest aggregate volume.

getUnusualIncreasingBars(df: pd.DataFrame, isUpward: bool) -> pd.DataFrame

This function takes a DataFrame generated by getVP or getVPWithOHLC, and returns the price bins that have experienced unusual increases in volume. The isUpward parameter determines whether to search for upward or downward trends.

plot(df: pd.DataFrame, price) -> None

This function takes a DataFrame generated by getVP or getVPWithOHLC, and a price series, and generates a plot of the volume profile. Installation

To install the package, run:

pip install volprofile

Example Usage

import pandas as pd
from volprofile import getVP, plot

# Load data
df = pd.read_csv('mydata.csv')

# Calculate volume profile
vp = getVPWithOHLC(df)

# Plot volume profile
plot(vp, df['price'])