morningpy 0.1.0

A Python wrapper to fetch financial data from Morningstar

MorningPy

A modern Python library for financial data — Stocks, ETFs, Funds, Indices, Financial Statements, Timeseries, and News.

Overview

MorningPy provides a Pythonic and intuitive interface to access financial and market data from Morningstar.com.
It is designed for students, practitioners, and researchers who need fast, consistent, and transparent access to high-quality market information.

MorningPy enables professional-grade data handling and covers a wide range of financial instruments, including:

• Stocks, ETFs, Funds, Indices
• Financial Statements and Holdings
• Historical and Intraday Timeseries
• News and Market Updates
• Ticker conversion

News

• First version of MorningPy released — excited to start the journey! 🎉

Installation

Install from PyPI:

pip install morningpy

Install from source:

git clone https://github.com/ThomasPiton/morningpy.git
pip install -e morningpy

Usage

Importing modules:

# Market data
from morningpy.api.market import (
    get_market_us_calendar_info,
    get_market_commodities,
    get_market_currencies,
    get_market_movers,
    get_market_indexes,
    get_market_fair_value,
    get_market_info
)

# Timeseries data
from morningpy.api.timeseries import (
    get_intraday_timeseries,
    get_historical_timeseries
)

# Security data
from morningpy.api.security import (
    get_financial_statement,
    get_holding,
    get_holding_info
)

# Ticker info
from morningpy.api.ticker import (
    get_all_etfs,
    get_all_funds,
    get_all_stocks,
    get_all_securities,
    convert
)

# News
from morningpy.api.news import get_headline_news

Examples - Market Information:

from morningpy.api.market import (
    get_market_us_calendar_info,
    get_market_commodities,
    get_market_currencies,
    get_market_movers,
    get_market_indexes,
    get_market_fair_value,
    get_market_info
)

# US earnings calendar
calendar_info = get_market_us_calendar_info(date=["2025-11-12"], info_type="earnings")
print(calendar_info.head())

# Commodities and currencies
commodities = get_market_commodities()
currencies = get_market_currencies()

# Market movers
movers = get_market_movers(mover_type=["gainers", "losers", "actives"])

# Indexes and fair value
indexes = get_market_indexes(index_type=["americas", "us"])
fair_value = get_market_fair_value(value_type=["overvaluated", "undervaluated"])

# General market info
market_info = get_market_info(info_type=["global_barometer","commodities"])

Examples - Timeseries:

from morningpy.api.timeseries import (
    get_intraday_timeseries,
    get_historical_timeseries
)

# Intraday data
intraday = get_intraday_timeseries(
    security_id=["0P00009WL3"],
    start_date="2024-11-08",
    end_date="2025-11-07",
    frequency="1min",
    pre_after=False
)

# Historical daily data
historical = get_historical_timeseries(
    security_id=["0P0000OQN8","0P0001RWKZ"],
    start_date="2010-11-05",
    end_date="2025-11-05",
    frequency="daily",
    pre_after=False
)

Examples - Security:

from morningpy.api.security import (
    get_financial_statement,
    get_holding,
    get_holding_info
)

# Financial statement
income_statement = get_financial_statement(
    statement_type="Income Statement",
    report_frequency="Quarterly",
    security_id=["0P000115U4"]
)

# Holdings
holding_info = get_holding_info(
    performance_id=["0P0001PU03", "0P0001BG3E"]
)
holding = get_holding(
    performance_id=["0P0001PU03", "0P00013Z57"]
)

Examples - Ticker:

from morningpy.api.ticker import (
    get_all_etfs,
    get_all_funds,
    get_all_stocks,
    get_all_securities,
    convert
)

# Retrieve all ETFs
etfs = get_all_etfs()

# Retrieve all stocks and funds
stocks = get_all_stocks()
funds = get_all_funds()

# Convert ticker or ISIN
converted = convert(["US7181721090", "0P0001PU03"])

Examples - News:

from morningpy.api.news import get_headline_news

# Get headline news
news = get_headline_news(
    market="Spain",
    news="economy",
    edition="Central Europe"
)
print(news.head())

Documentation

Advanced documentation will be available at MorningPy Docs

Contribution

Contributions are always welcome! You can:

• Open an issue to discuss a feature or bug
• Submit a pull request
• Contact us to discuss the best way to contribute