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Quantitative Finance

AURA — Market Insight Tool

Institutional-grade quant analysis for individuals — real-time macro-regime classification, multi-factor stock scoring, and a theory engine tested against 30 years of market data.

ClientIndividual Investors
SectorInvestment Analytics
Year2025
What we didQuant Engines · Data Pipeline · Analytical UX
Market Overview
7
Backend engines
5
Factor dimensions
4
Market regimes
30 yrs
Backtest data
Overview

The frameworks institutional investors rely on — regime analysis, factor scoring, systematic screening — are inaccessible, expensive or too expert-heavy for individuals.

AURA classifies the current economic regime, dynamically re-weights its stock-scoring model to match, and surfaces actionable opportunities — bridging raw market data and confident decisions through a dense, dark analytical dashboard.

The challenge

Individual investors face a structural disadvantage in tools and frameworks.

Regime blindness

Most investors never adjust strategy as the cycle shifts.

Factor overload

Abundant data, but no framework to compare stocks objectively.

Discovery gaps

Finding opportunity across thousands of names needs systematic screening.

Portfolio blind spots

No visibility into how holdings behave under different macro conditions.

The solution

An analytical platform that adapts automatically to changing market conditions.

  • Automated regime classification across Early, Mid, Late Cycle and Recession from live Fed data.
  • Five-factor composite scoring with weights that shift by regime.
  • A theory engine to test investment hypotheses against live data with plain-English output.
  • Russell 1000 discovery, smart watchlists and portfolio risk analysis with regime alignment.
Core features

What we built, in detail.

01

Market regime classifier

Reads Yield Curve, GDP, CPI, Unemployment and ISM to classify the cycle — then shifts factor weights to favor Quality late, Momentum early.

02

Composite factor scoring

Z-score-normalized scoring across Quality, Value, Momentum, Growth and Low-Vol, mapped to BUY / NEUTRAL / AVOID tiers.

03

Theory engine

Prebuilt strategy templates plus full customization, simulated historical returns and a human-readable thesis for every theory.

04

Stock discovery engine

Regime-aware screening of the Russell 1000 into Regime Movers, Earnings Surprises and Hidden Gems.

05

Portfolio risk analyzer

Sector concentration, factor exposure and regime-alignment scoring with concentration warnings.

06

Smart watchlist

Five proprietary conviction signals — EPS revisions, dip confirmation, institutional footprint, regime tailwind and factor upgrades.

Interface gallery

Inside the product.

Market OverviewRegime classification with macro indicators and breadth
Theory EngineInstitutional-grade strategies with macro context
Quantitative AnalysisMulti-factor scoring with regime-conditional weighting
Stock DiscoveryRussell 1000 opportunities surfaced by regime
Smart WatchlistConviction tracking with five proprietary signals
Portfolio TrackerHoldings with equity, returns and linked theories
Results & impact

What it changed.

7
Modular engines
1000+
Stocks screened
30 yrs
Backtest data
Real-time
Macro analysis
Built with
React 18TypeScriptNode.jsPostgreSQLTanStack QueryRechartsFMP APIFRED APIshadcn/uiZod
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