Institutional-grade risk analytics for AI assistants.
Finturb Investment Signals is an MCP project maintained in the ai-intellicore/finturb-mcp repository. The maintainer describes its purpose as “Institutional-grade risk analytics for AI assistants”. Read the project documentation for the complete scope.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| get_risk_score | Composite risk score (0–100) with regime, decomposition, and 4-way liquidity-gated extension. |
| get_risk_history | Daily risk score, regime label, and duration for the last N days. |
| get_conditional_returns | Historical return statistics by regime per core asset (5d / 21d horizons). |
| get_interaction_table | 2×2×2 conditional returns table across three signal dimensions for a given asset. |
| get_turbulence_score | Daily and 10-day rolling turbulence percentiles with regime labels. |
| get_transition_probabilities | Markov transition matrices for daily and rolling turbulence states. |
| get_signal_dates | Historical bearish (Type A) and bullish (Type B) signal dates with outcomes. |
| get_absorption_ratio | Three-tier fragility alert system (30d Watch / 60d Warning / 90d Crisis). |
| get_fragility_loadings | 30-day fragility history tail — aggregate time series. |
| get_pc_loadings_history | Per-asset PC1/PC2 eigenvector loadings across 30/60/90-day windows. |
| get_media_sentiment | Per-asset tone, volume, and composite signal (27+ assets). |
| get_sentiment_heatmap | Full sentiment ranking across every tracked asset. |
| get_sentiment_alerts | Only assets with |
| get_geopolitical_tone | Goldstein-scale global geopolitical tension indicator. |
| get_global_liquidity | GLI (0–100) composite with PLI / PSI / XFI sub-indices and cycle phase. |
| get_liquidity_history | Monthly GLI + sub-indices time series with cycle phase per observation. |
| get_regional_liquidity | Per-region liquidity readings (US, Eurozone, China, Japan, UK). |
| get_oversold_opportunities | Oversold candidates ranked by composite opportunity score. |
| get_overbought_opportunities | Overbought candidates ranked by composite opportunity score. |
| get_ticker_metrics | Full 16-field quantitative profile for any of 550+ tickers. |
| get_stat_arb_summary | Universe-wide oversold/overbought counts plus top 5 each direction. |
| get_market_briefing | One-call cross-pillar synthesis. |
| get_gpt_commentary | GPT-4o narrative commentary on transitions and daily asset moves. |
| get_signal_strategist | Dashboard-grade snapshot with 4-way liquidity gate. |
| get_periodic_returns | Annual returns for 20 asset classes (2018–present). |
| get_stablecoin_scorecard | RAG assessment across 10 dimensions per major stablecoin. |
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