LMM Capabilities

The Living
Capability Matrix

A real-time view of what the Kinetic LMM can do today, what's in development, and the roadmap for the full intelligence stack.

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Task Verticals
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Modalities
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Target Uptime SLA
Capability Modality Current Status Maturity Backtested Live Ready
Market Regime Classification
Bull / Bear / Sideways labels		 Time-series Production
90%
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Price Return Forecasting
Multi-horizon direction + magnitude		 Time-series Production
85%
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Volatility Forecasting
GARCH-augmented transformer		 Time-series Production
88%
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News Sentiment Analysis
Financial text NLP		 Text Production
92%
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Pattern Recognition
Chart patterns, DL-based		 Visual / Time-series Production
80%
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Scenario Generation
Synthetic market simulation		 Multi-modal Beta
65%
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Reasoning & Explainability
Chain-of-thought per trade		 Multi-modal Beta
70%
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Graph Analysis
Systemic risk mapping		 Graph / Network In Dev
40%
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Anomaly Detection
Flash crash & manipulation alerts		 Time-series In Dev
35%
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Earnings Call QA
Natural language financial QA		 Text / Audio Roadmap
20%
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Classification

Market Regime & Sentiment Labels

The LMM classifies market regimes, sentiment polarity, and asset risk categories with multi-class transformer-based models fine-tuned on historical labeled financial data.

  • check_circleBull / Bear / Sideways regime detection
  • check_circleSentiment polarity: positive / negative / neutral
  • check_circleAsset risk category labeling (low / medium / high)
  • check_circleEarnings surprise classification (beat / miss / in-line)
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F1-Score (Val)
Production
Current Status

Use Cases

Dynamic Asset Allocation
Switch between equity, bonds, and cash based on real-time regime classification.
Earnings Play Strategies
Detect surprise directions before announcement to position pre-event.
Risk-On / Risk-Off Filter
Gate all strategy signals through a macro sentiment classifier to reduce drawdowns.
Forecasting

Price, Volatility & Return Prediction

Transformer-XL based temporal models predict return distributions, volatility clusters, and price targets across configurable horizons from microseconds to quarters.

  • check_circleMulti-horizon forecasting (1m to 1Q)
  • check_circleDistributional output (mean + confidence intervals)
  • check_circleGARCH-augmented volatility surface forecasting
  • check_circleCross-asset correlation attention mechanism

Use Cases

Intraday Alpha Generation
1-minute to 4-hour return forecasts to power high-frequency quant strategies.
Options Pricing Support
Volatility surface forecasts to improve options pricing and delta-hedging precision.
Portfolio Rebalancing
Weekly/monthly return forecasts to optimize portfolio weights and factor exposures.
Generation

Synthetic Market Data

Generate realistic market scenarios for stress testing, data augmentation, and strategy validation — without overfitting to historical patterns.

Currently in Beta

Full release planned Q4 2026

Reasoning

Explainable Trade Decisions

Every signal and execution decision comes with a chain-of-thought explanation generated by the LMM Reasoning Engine — providing full auditability for compliance and oversight.

Currently in Beta

Full release planned Q3 2026

Risk Assessment

Real-Time Portfolio Risk

Real-time VaR estimation, tail-risk prediction, position exposure monitoring, and automatic circuit-breaker triggers — baked into the execution layer.

Production
NLP Tasks

NER · Summarization · QA

Extract entities from filings, summarize earnings calls into action briefs, and query the LMM in natural language about any instrument or market condition.

NER: Production
Summarization: Production
QA: Roadmap

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