MARKET ANALYSIS · RISK SYSTEM

Multi-Timeframe Market Analysis and Risk Reporting System

A Python CLI that organizes public 15-minute, 1-hour and 4-hour data into conditional scenarios, invalidation rules, risk calculations and Markdown reports.

Status36 offline tests passed; public-data adapters and local report generation are implemented.
RoleIndependent project owner
DeliveryPrototype, concept or workflow evidence
BoundaryClaims limited to reviewed evidence

Background

Positioning and problem

A Python CLI that organizes public 15-minute, 1-hour and 4-hour data into conditional scenarios, invalidation rules, risk calculations and Markdown reports. The work separates requirements, implementation, testing and public evidence so the project can be evaluated without overstating its maturity.

Core Scope

Features and engineering scope

01

Problem and scope definition

This capability is implemented or documented according to the verified project status above.

02

Modular workflow design

This capability is implemented or documented according to the verified project status above.

03

AI-assisted implementation

This capability is implemented or documented according to the verified project status above.

04

Testing and evidence review

This capability is implemented or documented according to the verified project status above.

05

Privacy and risk boundaries

This capability is implemented or documented according to the verified project status above.

06

Iterative documentation

This capability is implemented or documented according to the verified project status above.

My Role

Responsibilities

  • Defined requirements and acceptance criteria.
  • Designed the workflow and information structure.
  • Used AI tools for implementation, debugging or investigation.
  • Reviewed outputs and documented limitations.

AI assistance does not replace responsibility for requirements, safety boundaries, testing or final acceptance.

Workflow

Project workflow

Define
→
Design
→
Build
→
Test
→
Review
→
Document

Tech Stack

Technology and methods

  • Python
  • Pandas
  • NumPy
  • Requests
  • Pytest
  • REST API

Verification

Current verification status

36 offline tests passed; public-data adapters and local report generation are implemented.

  • Evidence statementReviewed
  • Public sourceLimited or pending
  • Online demoNot claimed unless explicitly shown