Night-Fall Market Intelligence
A market-data research platform with auditable analysis, historical comparisons and prediction evaluation.
Explore the buildThe challenge
The problem behind the build
Research decisions are hard to evaluate when inputs, timing and later outcomes are mixed together. A useful system needs recorded evidence and a clear evaluation path.
The approach
How the pieces fit together
The application separates ingestion, deterministic analysis, research experiments and later evaluation. Its dashboard exposes decision traces and historical runs rather than hiding the reasoning behind a signal.
Capabilities
Inside the implementation
BTC and ETH market-data ingestion and regime analysis
Evidence-backed decision traces and historical research tools
Prediction evaluation, paper experiments and research dashboards
System structure
The main building blocks
- 01
Market observations
- 02
Analysis pipeline
- 03
Evidence trace
- 04
Later evaluation
Technology
The stack behind this project
Next.jsTypeScriptPythonSQLMCP
Project scope
A research and paper-evaluation system. It does not establish profitability or execute real-money trades.
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