dse-data-loader 0.0.33

This is a tool to download stock market data of Dhaka Stock Exchange.

Description

This is a Python library based on beautifulsoup4, pandas & mplfinance to download price data and fundamental data of companies from
Dhaka Stock Exchange.
This can assist you to create further analyses based on fundamental and price history data.
Also create Candlestick charts to analyse price history of stocks using a simple wrapper for mplfinance.

Installation

pip install dse-data-loader

Usage

Downloading historical price data of a single stock-

from dse_data_loader import PriceData
loader = PriceData()

loader.save_history_csv('ACI', file_name='ACI_history.csv')

The above code will create a file named- 'ACI_history.csv'. It'll contain historical price data for ACI Limited. 'ACI' is the stock symbol.

Downloading current price data of all listed companies in DSE-

from dse_data_loader import PriceData
loader = PriceData()

loader.save_current_csv(file_name='current_data.csv')

The above code will create a file named- 'ACI_history.csv' in the current folder. It'll contain current price data for all symbols.

Downloading fundamental data for a list of companies available in DSE-

from dse_data_loader import FundamentalData
loader = FundamentalData()

loader.save_company_data(['ACI', 'GP', 'WALTONHIL'], path='company_info')

The above code will create two files named 'company_data.csv' & 'financial_data.csv' in the 'company_info' folder relative to current directory. The file named company_data.csv contains the fundamental data of ACI Limited, GP and Walton BD for the current year and financial_data.csv contains year-wise fundamental data according to DSE website.

Create Candlestick charts for analyzing price history-

from dse_data_loader import CandlestickPlot

cd_plot = CandlestickPlot(csv_path='ACI_history.csv', symbol='ACI')
cd_plot.show_plot(
    xtick_count=120, 
    resample=True, 
    step='3D'
)

The above code will create a Candlestick plot like the ones provided by Stock broker trading panels. There are 3 parameters-

1. xtick_count : Provide an integer value. It sets the count of how many recent data points needs to be plotted.
2. resample : Provide boolean True or False. Set True if you want to plot daily data aggregated by multiple days.
3. step: Only Active when resample=True. Valid values are in the form- '3D' and '7D' for 3 days plots and weekly plots respectively.

The following are some example images of Candlestick plots-

This is the minimal documentation. It'll be improved continuously (hopefully!).