Dark market analytics dashboard with informational charts and review panels

Technical Intelligence System

Market Analytics Workflow Platform

A Django and React platform for market data ingestion, pattern detection, scenario simulation, and informational analytics review using client-defined logic.

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Project narrative

From workflow problem to engineered analytics system.

Each project explains the client-style challenge, software solution, modules, architecture, implementation choices, and compliance-aware boundaries.

Challenge

Market analytics workflows become fragile when data readiness, indicator calculations, pattern review, scenario logs, and team notes live in separate tools. The goal was to make every analytics state traceable to data freshness, rule context, and review history.

Solution

The platform centralizes the workflow into a modular analytics system with data preparation, technical intelligence scanning, readiness checks, scenario simulation, and lifecycle review. Tracked scenarios, history, and scan logs are presented as informational views for inspection and documentation.

Sanitized demo

Public-safe product visual from the analytics workflow.

The screenshots below use masked values, cropped application chrome, and informational interface language suitable for public marketing.

Masked market analytics discovery workflow with filters and demo data labels

Masked discovery workflow

XCF-derived Stage 1 preview with masked values, cropped sidebar, and public demo-data labeling.

Masked technical intelligence scan dashboard showing review cards and analytics filters

Masked intelligence scan workflow

Stage 2 analytics review view with sensitive values masked and framed as a demo interface.

Masked active review dashboard with analytics cards and workflow detail panels

Masked active review workspace

Operational review screen exported from the masked XCF and labeled for public software demonstration only.

Masked market analytics history dashboard with monthly calendar and quality breakdown

Masked history and quality view

Historical analytics view with visible masks applied to sensitive performance values before publication.

Visual system

Product views for data readiness, review, and scenario tracking.

These visuals show how the module presents technical readiness, workflow state, synthetic scenario data, and quality controls in an informational interface.

Demo UI

Ready

18

Blocked

04

Active

07

Tracked scenarios

Fresh data
Pattern reviewed
Scenario updated
Scan log attached

Technical intelligence dashboard

Informational view with readiness status, pattern context, scenario state, and scan provenance using synthetic labels.

Demo UI
1

Data sync

Verified
2

Feature build

Verified
3

Pattern scan

Verified
4

Readiness check

Verified
5

Human review

Gated

Data to review workflow

Two-stage pipeline separating data preparation from technical intelligence scanning and human review.

Demo UI

Quality monitor

Freshness

98%

Review

Open

Rules

Synced

Alerts

Armed

Data freshnessPass
Indicator statePass
Safety checksBlocked
Sizing ruleReady

Scenario quality monitor

Control panel for data freshness, rule state, exception handling, and analytics lifecycle outcomes.

Core modules

Market data ingestion and readiness checks
Technical pattern detection with review queues
Scenario simulation based on client-defined rules
Informational analytics workspace for tracked scenarios
Audit logs for rules, data freshness, and user review
Dashboard views for system health and analytics history

Architecture highlights

Django and DRF backend exposing analytics workspace APIs
PostgreSQL schema for instruments, derived indicators, scan results, readiness states, and review events
React frontend for analytics review, scan inspection, history, and operational logs
Two-stage processing model separating data preparation from technical intelligence review
Readiness checks that validate data freshness and rule state before scenario simulation
Lifecycle services for informational state tracking and audit-ready history

Stack

Technology used

DjangoDjango REST FrameworkPostgreSQLReactPythonMarket DataREST APIs

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