Market intelligence
Security identity, quotes, historical series, corporate actions, market structure, liquidity, volatility, and cross-market context.
Madison Financial Intelligence
In active development ยท Research & analysis
Financial intelligence built for evidence, context, and research clarity.
Madison Financial Intelligence (MFI) is a governed research and analysis domain built on TuckR89 Penny. It is being developed to connect market data, company fundamentals, valuation, portfolio context, macro conditions, funds, credit, options, and research evidence into inspectable workflows.
Research intelligence only. Not a brokerage, automated trading service, or investment adviser.
MFI Research Workspace
1EvidenceNormalize sources
2AnalysisBuild the thesis
3ContextTest assumptions
4RiskSurface uncertainty
5Decision supportKeep humans responsible
Research foundation
A financial intelligence roadmap that starts with trustworthy structure.
MFI's engineering direction begins with canonical financial definitions, source contracts, provenance, freshness, and deterministic conflict handling before layering higher-level research workflows on top.
Company research
Regulatory filings, fundamentals, earnings, financial statements, derived metrics, and evidence-preserving company analysis.
Valuation & thesis
Structured valuation frameworks, assumptions, scenario comparisons, investment-thesis construction, and conviction research.
Portfolio intelligence
Portfolio structure, concentration, exposures, attribution, benchmark context, and risk-aware interpretation.
Macro, funds & credit
Economic conditions, rates, policy, funds and ETFs, fixed income, spreads, and broader financial context.
Options research
Options-ready data, pricing assumptions, Greeks, implied volatility, strategy analysis, and integrated risk synthesis.
Built on Penny Core
Specialized financial authority with shared platform governance.
Penny Core provides orchestration, runtime coordination, governance, replay, and review boundaries. Madison owns the specialized financial-intelligence domain while operating inside that governed platform.
Source provenanceTrack where externally sourced financial facts came from and when they were retrieved.
Freshness awarenessDistinguish current, stale, and time-sensitive evidence instead of treating all facts as timeless.
Conflict handlingUse defined source authority and deterministic resolution when financial facts disagree.
ReplayabilityPreserve enough structure to inspect how a research assessment was formed.
Important boundary
Read the boundariesResearch support is not investment advice or automated execution.
The current MFI roadmap is explicitly research-only through its planned MFI-105 scope. It does not authorize personalized trade execution, brokerage activity, or an autonomous trading engine.
Financial research intelligence
Evidence-centered research across markets, securities, valuation, portfolios, macroeconomics, funds, credit, and options.
Madison Financial Intelligence is being developed to organize financial research around source authority, provenance, freshness, structured analysis, and reproducibility. It supports human research and decision-making; it is not a brokerage service, automated trading system, or substitute for individualized investment advice.