FinTech Signal Tracker

Problem statement

Daily market signal collection and reporting can become a manual routine across multiple APIs, historical storage and Markdown output generation.

Engineering objective

1. Mapped BTC/USD, ETH/USD and GBP/USD collection requirements.
2. Defined processed history and Markdown report generation.
3. Scoped GitHub Actions scheduling for reproducible runs.

Solution

A scheduled Python pipeline that collects daily financial observations, stores historical data and generates Markdown reports through automated runs.

• Daily API collection for selected currency pairs.
• Historical observation storage and processed history.
• Markdown report generation.
• GitHub Actions scheduling.

How it works

Python data collection scripts.

GitHub Actions workflow scheduling.

Markdown report output.

Controls and constraints

• Public market data APIs only in documented workflow.
• No client or trading account integration claimed.

Key capabilities

• Collection scripts and historical storage.
• Report generation pipeline.
• Scheduled automation workflow.

Product and system views

A scheduled Python data pipeline for collecting and publishing daily financial market signals.

What the system enables

• Demonstrates lightweight automation for recurring data collection and reporting.
• Suitable for additional engineering work rather than homepage prominence.

Validation and testing

• Reproducible scheduled report generation via GitHub Actions.

Limitations

• Not a trading or investment product.
• Limited to the currency pairs and reporting format implemented in the repository.