Multi-Agent System
End-to-end investment workflow

AI-Native
Alpha.

IVStudio is a coordinated swarm of 30+ autonomous agents that ingest markets, build predictive models, and output portfolio-ready signals — from macro to single-stock, in one production-grade engine.

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The Proof

Measurable edge,
every signal.

Three areas that matter to allocators: directional accuracy, risk-adjusted return, and beta neutrality. IVStudio delivers all three from a single, unified pipeline — no manual research bottlenecks, no model silos.

53% Conviction Floor
Resulting in 57-65% Directional Accuracy
The real accuracy in the platform is higher - Agents automatically purge signals below 53% accuracy. This is "Hard Floor" ensures that signals only reflect high-probability setups where the swarm achieves statistical consensus. Meaningful lift over 50–55% baseline through ML and Neural Network fusion across timeframes.
Sharpe
Beta-Adjusted Sharpe
In the multi-layered portfolio allocation, dynamic Beta-Adjusted Sharpe yields consistent outperformance against Static Sharpe, proving the swarm's ability to extract value across diverse market regimes, sectors and assets.
Beta Neutrality
Low to Negative Beta
Our signals are engineered for market independence. Across 6+ years (2019-2026) of backtested strategies, the engine maintains a near-zero or negative Beta, ensuring the 1.3-2.0 Sharpe is driven by pure Alpha rather than market exposure.
The Dashboard
Live · Signals

See these metrics in action.

The Investment Dashboard surfaces signals in real time — market regime, sector rotation scores, company alpha ranks, and portfolio allocation weights. Every number you saw above, rendered live.

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The Mechanism

30+ agents.
One coherent engine.

Each investment function is an autonomous agent with a defined role, input contract, and output spec. They coordinate through a shared signal layer — no monolithic model, no manual handoffs.

30+
Autonomous Agents Spanning data, models, research, risk, and portfolio construction. Continuously learning from new signals.
📡
Ingest
News, pricing, macro, earnings — structured and unstructured data unified at ingestion.
5 agents
⚙️
Feature Engineering
Sentiment vectors, embeddings, volatility regimes, and cross-asset factor construction.
4 agents
🧠
Models & Signals
ML classifiers, neural network forecasters, and signal fusion at market, sector, and company levels.
7 agents
🔭
Research & Scope
Thematic clustering, regime detection, and investable universe definition from signals.
5 agents
📊
Portfolio
Sector allocation and security selection under risk, exposure, and liquidity constraints.
4+ agents
Data → Features → Models → Signals → Portfolio
The Deep Dive
App Home · Interactive

Explore the logic
behind the swarm.

The App Home lets you walk the full agent topology — click any agent to inspect its role, data inputs, model type, and position in the pipeline. Every one of the 30+ agents is documented and explorable.

Explore App Home
Market Layer Agents
Sector Layer Agents
Company Layer Agents
Signal Fusion
Portfolio Construction
Risk Controls
Research Topics
Human-in-the-Loop

Each agent is a self-contained autonomous service boundary. Component isolation means any single agent can be upgraded, retrained, or replaced without touching the rest of the system — giving the swarm both speed and durability in production.

Agent Catalog Dynamic Portfolio