Get RSI Values for a Stock using Yahoo Finance Data

We can use the Python Technical Analysis Library (ta) for the RSI (Relative Strength Index) calculation.

A simple and free API for finance data is Yahoo Finance (yfinance); the most convenient way to call it is using the yfinance Python library.

First, install the Technical Analysis library:

$ pip install ta

Install the Yahoo Finance library:

$ pip install yfinance

We use NVDA as an example, on a 5 minute timeframe.

The following script will retrieve the data and pass the results to the TA library to calculate the RSI.
The results are stored in a Pandas series; after retrieval we print out a sample of the latest values.

import yfinance as yf

from ta.momentum import RSIIndicator

ticker = 'NVDA'

# Make sure to use a window with enough data for the RSI calculation.
data =, period='5d', interval='5m')

closeValues = data['Close']

# Use the common 14 period setting.
rsi_14 = RSIIndicator(close=closeValues, window=14)

# This returns a Pandas series.
rsiSeries = rsi_14.rsi()

# Latest 10 values of the day for demonstration.

Below is the output for a single run. The series contains timestamps and RSI values.

2024-05-24 12:35:00-04:00    52.733213
2024-05-24 12:40:00-04:00    56.698742
2024-05-24 12:45:00-04:00    56.991273
2024-05-24 12:50:00-04:00    62.709294
2024-05-24 12:55:00-04:00    55.964462
2024-05-24 13:00:00-04:00    56.631537
2024-05-24 13:05:00-04:00    51.238671
2024-05-24 13:10:00-04:00    53.740376
2024-05-24 13:15:00-04:00    51.827860
2024-05-24 13:20:00-04:00    52.300520
Name: rsi, dtype: float64


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