Broader risk factor coverage
Expanded risk factor coverage to include international rates, emerging-market equity, additional commodities, FX, and sovereign bonds.
The latest features, improvements, and fixes to the StressGen platform.
Expanded risk factor coverage to include international rates, emerging-market equity, additional commodities, FX, and sovereign bonds.
SEC filings on the scenario page now show the full detailed summary with a Show more / Show less toggle.
The Predictions tab now loads every attached market via infinite scroll, no longer capped at 30.
Hypothetical scenarios now generate roughly 40% faster end-to-end.
A new dashboard card ranks six stress themes (recession, tariff, inflation, war, uncertainty, cybersecurity) by news-volume z-score versus the trailing 90 days.
Historical scenarios now include a per-factor Market Data view with sparklines, peak/trough readings, and distribution stats for each tracked asset.
Shipped 30+ bug fixes from weekly branch-test verification cycles.
Scenarios can now draw on more market-data sources across prediction markets, fundamentals, and macro indicators.
The Statistics tab now shows regime-conditional correlations and surfaces copula family, primary driver, and theta on every secondary shock.
Scenarios now open with a causal narrative (trigger → transmission → end state). New macro widgets added to the dashboard.
Overhauled the scenario page — no more drawers taking the middle of the screen. New Intelligence tab displays extracted risk signals and insights.
Subscription tiers have been replaced with per-scenario credits.
When the economist falls back to copula-derived shocks, the `fallback_used` flag is now recorded on each shock proposal and surfaced in audit metadata. Removed a redundant `correlation_valid` field that duplicated the master `validation_passed` boolean.
Bumped cryptography 46→47 and pyarrow 23→24 (majors), plus polars 1.38→1.40 and yfinance 1.1→1.3 for upstream security patches and faster tabular processing.
Every context agent (macro, data, filings, prediction, web search) now reports which providers succeeded and which failed. Silent zero-result paths are now visible in audit output.
RSS source is now formally recognized; the news context-agent floor was raised to 120s and partial sub-query results survive timeout. Per-feed failures are surfaced inline (e.g., "rss(2 failed)") instead of disappearing silently.
The Causal Map tab had been silently hidden after a schema rename. It now renders for every scenario that has transmission DAG data.
Fixed an off-by-one in historical market data fetching that shifted start dates earlier than requested, distorting factor context, peak-to-trough metrics, rolling shocks, and historical time-series charts. All values now align with the scenario's actual start date.
Every scenario now exposes a transmission DAG mapping how the initial shock propagates through risk factors. Known crises use expert-authored DAGs; novel scenarios get LLM-inferred ones.
A new dashboard card surfaces fresh headlines from 12 curated publishers across political, geopolitical, financial, and policy domains, refreshing every minute. News research in scenario runs is also broader thanks to the new RSS source.
Scenarios can now model recovery regimes — post-crash rebounds, post-election rallies, post-downgrade recoveries — with sign-agnostic shocks. The historical knowledge base gained 6 recovery narratives spanning 1987 to 2020.
Historical scenarios now dynamically retrieve the most relevant precedents per run from an expanded knowledge base, replacing a hardcoded list. The taxonomy gained 9 recovery archetypes and 2 new crisis archetypes (banking crisis, asset bubble).
Filings agent now extracts per-filing risk factors from Item 1A; macro agent grounds historical comparisons with statistical anomaly detection; news agent surfaces its sub-query plan; data agent uses deterministic per-asset volatility regimes.
Bounded per-provider news timeouts prevent a slow data source from blocking runs; the economic calendar widget no longer errors on an invalid parameter; and the pipeline now recovers correctly when an intermediate LLM call returns 0 shocks.
Agent prompts are now deduplicated via shared Jinja2 fragments, a redundant context-synthesis LLM call was removed, and Kalshi + Polymarket agents share a common prediction base class. Scenarios generate with fewer round-trips and more consistent framing.
A new context coordinator dispatches only the agents (news, macro, filings, prediction markets, etc.) most relevant to each scenario, with per-agent query hints. Result: sharper, less noisy context and better evidence selection on every run.
A new LLM-as-judge step cross-checks proposed shocks against historical analogs, percentile anchors, and copula-implied bounds — producing a `judge_plan` with hard `[min, max]` constraints before the scenario reaches the quantitative layer. Surfaced in the API response and scenario detail UI.
Ten new dashboard cards — Correlation Heatmap, Rate Expectations, News Sentiment, Scenario Timeline, Watchlist, Portfolio P&L, MOVE Volatility, Global Macro Calendar, Scenario Comparison, and Provider Health — give you a richer at-a-glance view of market and pipeline state. Each card includes an empty state, staleness indicator, and refresh timestamp.
News agent now plans and executes multiple search queries in parallel, then aggregates results for faster and more comprehensive coverage.
Kalshi and Polymarket are now analyzed by dedicated agents with LLM-powered market interpretation, replacing the single prediction agent for more granular signals.
US Treasury 2Y yield now correctly sources from FRED instead of Yahoo Finance futures.
Added EWMA correlation estimation, Ledoit-Wolf matrix shrinkage, and condition number monitoring for more robust risk factor dependency modeling.
New dashboard widget tracking NFCI, STLFSI4, and OFR FSI financial stress indices.
Users can now share any scenario to a public page.
Key metrics in historical narratives now show provenance tooltips revealing the exact data source and computation method behind each number.
When a crisis isn't in the knowledge base, an agentic research loop (news/web search) fills the gap automatically.
New contact form page for reaching the StressGen team. Added a curated regulatory calendar with verified dates for upcoming Fed, ECB, and prudential deadlines. Crisis Chronicle drawer now surfaces historical narrative context.
Fixed HMM regime detector to correctly identify market stress states in the dashboard. Improved site discoverability with SEO fixes across sitemap, metadata, and llms.txt. Dashboard widget preferences now persist correctly across sessions.
Added GDELT and Finnhub as new news providers for broader market and geopolitical coverage. Prediction market data from Kalshi and Polymarket now injects price momentum signals into scenario generation with tighter relevance filtering.
- Portfolio snapshots with delta/gamma/vega exposures per risk factor - Stress test engine with unit-aware impact computation - Pivot table with drag-and-drop, heatmaps, and CSV export - Cross-run comparison with Shapley attribution - Snapshot audit trail for regulatory compliance
- Subscription tiers (Free, Professional, Enterprise) - Subdomain routing for app vs marketing site - Regime detection alerts and PDF viewer - SEO and logging hardening
- Geopolitical risk taxonomy with 15 risk types and calibration anchors - Causal transmission DAG engine for modeling shock propagation paths - Contagion correlation monitor with regime detection - Crisis matching against 14 historical episodes (GFC, COVID, etc.) - Per-shock provenance tracing for full audit trail
Streamlined role-based access controls and introduced clearer subscription tiers throughout the platform.
New dedicated FAQ page covering common questions about stress testing, scenarios, and platform usage.
Resolved chat message text overflowing in the expanded sidebar, fixed duplicate key warnings in the activity feed, and corrected earnings calendar date grouping and hover states.
Upload portfolio exposures via CSV or Excel files with template validation and error reporting. Snapshot deletions now use soft delete for regulatory audit compliance, with full user attribution tracking.
Corrected a PII sanitization method call that could fail silently when generating chat titles, ensuring personal data is always scrubbed before reaching LLM providers.
Fixed a slowapi header injection bug causing intermittent 500 errors, and resolved Redis connection pool cascade failures that could take down database connections during high load.
Run stress tests against portfolio snapshots to compute P&L impacts across risk factors — with waterfall charts, factor attribution breakdowns, and cross-run comparisons.
Explore stress test results with drag-and-drop pivot tables featuring collapsible rows, inline bar charts, heatmaps, sorting, and a hide-empty-rows toggle.
Create a free account to get notified about new features and try AI-powered stress testing today.