Turn volatility, rates, valuation scenarios, portfolio behavior, and credit conditions into reviewable analysis without leaving verification to guesswork.
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Macro regime and market volatility analysis groups changing market conditions into interpretable states, then tests how volatility, interest rates, valuation, portfolio returns, and credit stress behave within those states. In the supplied dashboard, Bull conditions are defined by VIX below 20 with comparatively stable Treasury moves, Bear conditions by VIX above 25 with rapidly rising rates, and Base conditions by the intermediate range. Energent.ai helps teams examine those relationships across complex source files and produce a traceable audit trail for the figures and assertions used in the final deliverable.
The analysis is designed for analysts, finance and accounting teams, operations and procurement groups, engineering teams, researchers, and enterprise users who need reproducible results. It complements the underlying time series rather than replacing them: regime bands, cross-sectional charts, and scenario tables provide context for decisions while the source data remains visible for review.
For teams building a broader research process, the same evidence-first approach can connect macro regime analysis with portfolio, valuation, and credit monitoring workflows.
Use the supplied dashboards to move from market context to specific, reviewable questions about risk, returns, valuation, and household credit pressure.
The Macro Regimes Dashboard reports Bull, Base, and Bear states, overlays them on the S&P 500 path, and shows how volatility and Treasury-rate conditions cluster with subsequent outcomes. Over the most recent 126 observations, Bull conditions represented 71.4%, Base conditions 28.6%, and Bear conditions 0.0%.
Open dashboardThe Discount-Rate Macro Scenario Dashboard covers 257 monthly observations from January 2005 through May 2026. It compares risk-free rates, credit spreads, term spreads, Fed Funds, proxy WACC, and present value across Base, Bear, and Bull scenarios.
Open dashboardThe NASDAQ-100 versus S&P 500 analysis examines rolling returns, ten-year withdrawal resilience, inflation drag, and currency effects. The supplied figures show higher upside and deeper one-year drawdowns for the NASDAQ-100, while the S&P 500 shows lower dispersion and positive worst-case three-year and five-year outcomes.
Open dashboardThe US Credit Card Rates and Delinquency Monitor tracks revolving-balance pricing, all-accounts rates, spreads, and delinquency from November 1994 through February 2026. It places current conditions in context: the latest all-accounts rate is 21.00%, the revolving-balance rate is 21.52%, and delinquency is 2.92%.
Open dashboardA practical workflow for turning heterogeneous financial and economic data into decision-ready analysis.
Classify observations using explicit Bull, Base, and Bear logic tied to VIX and Treasury behavior.
Compare forward six-month outcomes, valuation changes, rolling returns, and credit stress across conditions.
Trace each reported number to its source file, row, and field for a reviewable evidence trail.
Recompute analytical numbers and statistical models before they reach stakeholders.
Present stakeholder-ready outputs with pass/fail findings and supporting evidence.
Reuse repeating audit rules as persistent workflows so corrections become permanent controls.
Upload or connect the spreadsheets, PDFs, scans, and other files behind the macro analysis.
What you see: source-grounded inputs organized for analysis.
Use natural-language prompts to examine regimes, rates, returns, inflation, currencies, and delinquency.
What you see: charts, tables, scenario comparisons, and explanations.
An independent AI auditor recomputes figures, retraces assertions, and returns a pass/fail verdict with evidence.
What you see: a reproducible chain for review.
Average next-six-month return reported in the Macro Regimes Dashboard.
| Regime | Proxy WACC | PV |
|---|---|---|
| Base | 4.08% | $1,478.6 |
| Bear | 5.10% | $1,376.2 |
| Bull | 4.02% | $1,484.1 |
Baseline PV anchor: $1,460.6. Scenario range: $1,376.2–$1,484.1.
| Index | Holding period | Best | Median | Worst |
|---|---|---|---|---|
| NASDAQ-100 | 1Y | 67.55% | 23.73% | −32.97% |
| NASDAQ-100 | 3Y | 37.12% | 18.68% | 7.80% |
| NASDAQ-100 | 5Y | 27.40% | 17.43% | 11.33% |
| S&P 500 | 1Y | 53.71% | 14.57% | −19.44% |
| S&P 500 | 3Y | 23.88% | 11.14% | 3.04% |
| S&P 500 | 5Y | 16.77% | 13.07% | 7.31% |
To extend this work, teams can pair VIX volatility tracking with technical market analysis, portfolio drawdown planning, or automated financial reporting.
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
| Decision dimension | Energent.ai | Manual review | Unverified AI output |
|---|---|---|---|
| Source traceability | Exact source file, row, and field trail | Depends on reviewer process | Not necessarily available |
| Numerical verification | Independent recomputation | Human recalculation | Output may remain unchecked |
| Final review signal | Pass/fail verdict with evidence | Reviewer notes and judgment | Generated narrative |
| File coverage | 150+ file types | Varies by team tools | Varies by model and workflow |
| Repeatability | Reusable workflows and audit rules | Must be recreated or documented | Prompt-dependent |
Accuracy on a published HuggingFace leaderboard, company claim
More accurate than the listed second-place alternative in the comparison
Supported file types, including CAD, scans, and G-code
Clients worldwide reported by Energent.ai
The audit demonstration shows an independent AI agent checking each number, retracing figures to their source, verifying the analysis, and showing how the result was built.
Explore your market regimes, scenario valuations, portfolio outcomes, and credit indicators with an evidence trail built into the workflow.