Financial Data API / Project note

Financial data architecture

Separate market data models support clearer financial analysis

This archived backend organizes stock lookups, date-filtered listings, price and volume history, technical indicators, and composite scores. The available record documents the system structure and project association, while leaving calculation accuracy, production readiness, investment use, and individual implementation responsibility unresolved.

Our role
Historical backend association documented; individual implementation role unresolved
Stage
Archive
Category
Fintech

Archive scope Archived REST backend structure for stock lookup, filtered listings, and market-data models.

Illustration, not product UI

Market data structure

  • Stock lookup

    Finds stock records through the documented REST service structure.

  • Date-filtered responses

    Returns listing data constrained by an optional date range.

  • Separate data models

    Keeps prices, volume, indicators, and composite scores distinct.

Illustration of the documented financial-data backend concepts, not a tested product flow.

Structured market data

The archived backend separates stock records, price and volume history, technical indicators, and composite scores into distinct data structures. It also documents fields for RSI, MACD, and moving averages. Together, those models describe a market-data architecture for lookup, filtering, and analysis, while leaving calculation accuracy and individual implementation responsibility unresolved.

Documented service structure

Documented REST endpoints cover stock lookup and listings with optional date filtering. Serializers represent market indicators, stock indicators, and scores in API responses. This archive shows how the service was organized, including separate concepts for downstream use, but it does not establish production success, investment validity, or an attributable individual delivery role.

What the archive documents

  1. Stock lookup and date-filtered listing endpoints documented
  2. Separate models for prices, volume, indicators, and scores
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