yf-simple-fetcher 0.1.1

A simple package to fetch ready-to-use stock data from yfinance

yf_simple_fetcher

A simple Python library to fetch historical stock data from Yahoo Finance (yfinance) with flexible intervals and clean, ready-to-use DataFrames.

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Features

• Fetch ready-to-use data for any stock by default.
• Supports custom intervals like 1min, 15min, hourly, daily.
• Automatically handles yfinance MultiIndex issues.
• Returns clean pandas.DataFrame with datetime index and simple column names.
• Easy to extend with custom intervals or periods.

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Installation

pip install yf-simple-fetcher

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Usage

Basic Usage (1-year hourly data)

from yf_simple_fetcher import get_data

# 1-year hourly data
df_hourly = get_data("AAPL", "hourly")
print(df_hourly.head())

Custom Intervals

# 2-year daily data
df_daily = get_data("AAPL", "daily")

# Last month, 15-minute data
df_15min = get_data("AAPL", "15min")

# Last week, 1-minute data
df_1min = get_data("AAPL", "1min")

Available Presets

By default, the library includes:

interval_periods = {
    "hourly": {"interval": "1h", "start": datetime.now() - timedelta(days=365), "end": datetime.now()},
    "daily": {"interval": "1d", "start": datetime.now() - timedelta(days=730), "end": datetime.now()},
    "15min": {"interval": "15m", "start": datetime.now() - timedelta(days=30), "end": datetime.now()},
}

You can add your own presets easily by updating the interval_periods dictionary.

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Example Output

                       Open      High       Low     Close     Volume
2024-01-10 14:00    147.23    148.12    146.80    147.90    4556123
2024-01-10 15:00    147.90    148.55    147.44    148.30    3894411
...

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Installation for Development (optional)

If you want to edit or extend the library locally:

git clone https://github.com/devwithmpho/yf_simple_fetcher.git
cd yf_simple_fetcher
pip install -e .

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Dependencies

• yfinance
• pandas

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License

MIT License. See LICENSE for details.

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Author

Mpho