DOYDL Technologies · Open Source

quantsumore
Retired

Changelog.

Historical Python library for retrieving and analyzing financial market data. This page records notable releases, fixes, maintenance work, and project status changes.

No longer in development. quantsumore is deprecated and no longer actively developed. No new releases, compatibility fixes, endpoint repairs, support, or security updates are planned. Published packages remain available for historical reference only.
2.1.5b1

Improves parser reliability while documenting temporary equity endpoint limitations.

  • Updated the CPI parser to use the provider's observation_date column instead of the former DATE column.
  • Simplified request headers to improve compatibility with external data providers.
  • Fixed invalid four-level relative imports in api.*.parse modules by using the correct package-relative path.
  • Fixed convert_to_float failures for non-string inputs by normalizing values before applying regular expressions.
  • Fixed a potential NameError in EquityAPI.Stats by validating html_content before use.
2.1.4b1

Restores reliable HTML parsing across affected data workflows.

  • Fixed HTML parsing failures across affected functions, restoring the expected extraction behavior.
  • Reliable HTML extraction — Corrected parsing logic used by several data-retrieval functions.
2.1.0b1

Corrects financial ratio calculations in the analysis workflow.

  • Fixed incorrect financial ratio calculations produced by affected Analyze methods.
  • Accurate ratio analysis — Corrected calculation behavior in the Analyze class.
2.0.0b1

Adds polished Excel exports for financial statement analysis.

  • Added the WriteExcel class for styled financial-data exports, including automatic column widths and parent, subtotal, and total formatting.
  • Added standardized financial-statement layouts through the _frameworks module.
  • Fixed Crypto.make raising AttributeError when exchange_type was supplied through supported positional or keyword arguments.
  • Fixed the fAnalysis.annual_dividend documentation so it accurately describes the returned annual dividend.
  • Excel-ready statements — Export financial statements from fAnalysis with automatic sizing, indentation, and financial-report styling.
1.3.3b1

Adds fundamental and technical analysis tools for deeper insights.

  • Added fundamental-analysis workflows for company performance, financial statements, ratios, and dividends.
  • Added technical indicators for trend, momentum, volatility, and volume analysis.
  • Improved database and JSON operations used when saving and retrieving financial data.
1.2.1b1

Stabilizes database and JSON file handling.

  • Fixed database saves that failed because to_sqlite selected the wrong configuration filename.
  • Fixed UTF-8 decoding errors encountered while loading JSON and database-related files.
  • Reliable file operations — Corrected configuration-file selection and text decoding during database and JSON workflows.
1.2.0b1

Improves browser compatibility and expands macOS configuration support.

  • Updated Chrome and Edge version-handling behavior.
  • Added macOS-specific configuration options.
  • Fixed an unexpected crash in the browser-version update script.
  • Current browser profiles — Improved Chrome and Edge version updates for more reliable user-agent compatibility.
  • Better macOS support — Added configuration options for macOS environments.
1.1.1b1

Consolidates financial market access across five core data domains.

  • Broad market coverage — Access cryptocurrency, equity, foreign-exchange, Treasury, and CPI data through specialized clients.
  • Analysis-ready results — Retrieve structured financial-market data for research, analysis, and application workflows.
1.0.0b1

Introduces unified financial market data access for Python.

  • Introduced cryptocurrency clients for live and historical price and volume data.
  • Introduced equity clients for company profiles, market statistics, historical prices, and current quotes.
  • Introduced CPI tools for index retrieval and inflation adjustments.
  • Introduced foreign-exchange clients for rates, conversions, quotes, and spreads.
  • Introduced U.S. Treasury clients for bill rates and yield-curve data.