How deeply does Investing for Programmers cover technical data?

Defines major data types and demonstrates retrieval, but stops short of explaining indicator calculations or trading strategies.

Technical data

As explained in Investing for Programmers

Technical data is market information, such as prices and trading activity, used to calculate technical-analysis indicators.

Technical data is market information that changes with trading activity, especially share prices. Traders use it to study price trends and make time-sensitive decisions. section 3.1

Common technical-data fields include:

Historical prices, including open, high, low, and close values. section 3.1 section 3.5.4
Trading volume and short interest rates. section 3.1
Fast delivery, which can matter when traders must execute orders quickly. section 3.1

Retrieving technical data

OpenBB can return historical NVDA prices as a DataFrame containing dates, OHLC values, and volume. Its provider parameter can switch data sources without changing the surrounding workflow. section 3.5.4

from openbb import obb
obb.equity.price.historical("NVDA").to_df().head()

Use the listing to retrieve historical NVDA technical data with OpenBB and convert the result to a DataFrame. section 3.5.4

How Investing for Programmers covers it

liveBook manning.com

Read Investing for Programmers on liveBook Get the book at manning.com

Related concepts

datakind of · Data is represented information, observations, measurements, or other values that can be stored, processed, transmitted, analyzed, or interpreted.
fundamental datacontrasts with · Fundamental data is information about a company’s financial condition, operations, and economic characteristics, derived primarily from accounting records, financial reports, and corporate disclosures.

This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.