A multi-agent autonomous financial intelligence and execution platform engineered to extract maximum daily alpha from SPX · NDX · NQ · ES · MES · XND · XSP through the fusion of swarm AI, Bayesian inference, quantum models, and institutional-grade stealth execution.
System Architecture
Each layer operates with surgical precision, passing refined intelligence downstream to the next.
The foundation of the system. World Monitor aggregates 435+ curated global intelligence feeds — geopolitical signals, macro news, and infrastructure events — in real time. Simultaneously, proprietary GEX/DEX and DIX pipelines stream quantitative dealer hedging flows and dark pool liquidity data. Quantum API hooks for Qiskit and Pennylane stand ready to ingest QQM and QHMM outputs when active.
Raw data is processed through a multi-modal analytical stack. The Hidden Markov Model (HMM) detects market regime transitions — trending, mean-reverting, or highly volatile states. The Mirofish swarm engine spawns thousands of micro-agents to simulate probabilistic future price paths. The Gamma Neural Reflex provides instantaneous tactical overlays based on real-time options chain dynamics. Hermes Agent operates the continuous self-improvement loop, refining model weights after every session.
The Bayesian Logic framework fuses all upstream signals into a unified posterior probability matrix. The HMM regime establishes the prior; Mirofish swarm distributions update the likelihood; and the resulting posterior defines the system's conviction in a specific price target, strike, and strategy. Paperclip AI governs the entire agent workforce as the 'Company Board,' enforcing goal alignment and audit logging. Agent Zero handles dynamic, unscripted tasks with full autonomy.
Fordge constructs the optimal multi-leg options structure — broken put flies, jump calendar spreads, iron condors — based on the Predictive Engine's output. Atlas applies Dynamic Kelly Sizing, scaling the position fraction up during high-conviction setups and scaling down during regime uncertainty. Phantom executes orders stealthily via dark pool routing, VWAP, and TWAP algorithms, minimizing market impact across SPX, NDX, NQ, ES, MES, XND, and XSP.
Agent Roster
Aggregates 435+ curated news and geopolitical feeds, seeding the system with macro context and sentiment signals.
koala73/worldmonitor
Spawns thousands of micro-agents to simulate market reactions and generate probabilistic future price trajectories.
666ghj/MiroFish
Continuously refines the system's predictive models by analyzing past sessions and adapting to changing market regimes.
NousResearch/hermes-agent
Handles unscripted, autonomous tasks — writing integration scripts, scraping obscure data sources, and routing backup orders.
agent0ai/agent-zero
Orchestrates the entire agent workforce, enforcing goal alignment, token budgets, and immutable audit logging.
paperclipai/paperclip
Analyzes the options chain, term structure, and IV surface to construct optimal multi-leg spreads — broken put flies, jump calendars, and iron condors.
Manages total portfolio heat and applies Dynamic Kelly Sizing — scaling leverage up at high conviction and down during uncertainty.
Routes orders through dark pools and breaks large positions into randomized tranches via VWAP and TWAP to minimize market impact.
Core Intelligence
The Predictive Engine is not a monolithic neural network. It is a multi-modal signal fusion architecture that combines Hidden Markov Model regime detection, Mirofish swarm simulations, and Bayesian posterior inference to identify asymmetric risk-reward profiles with institutional precision.
When Quantum API hooks are active, QQM and QHMM data from Qiskit and Pennylane bypass the classical HMM entirely and feed directly into the Bayesian framework, providing non-linear state detection capabilities that classical models cannot achieve.


Execution Layer
Dynamic Kelly Sizing is the cornerstone of the risk framework. Unlike a static fractional Kelly approach, Atlas continuously adjusts the position fraction in real time based on the Predictive Engine's posterior probability and the strategy's payout ratio. When the HMM, swarm, and quantum models show extreme confluence, Atlas scales up aggressively. During regime uncertainty, it scales down to preserve capital.
The Kelly fraction f* = (bp - q) / b is recalculated on every signal update. High-conviction setups (posterior > 0.75) unlock full Kelly; uncertainty regimes (posterior < 0.55) reduce to a conservative fraction, preventing ruin during black swan events.
Live Analytics
GEX, DIX, regime probabilities, term structure, Monte Carlo targets, and the 3D volatility surface — the same institutional telemetry AXIOM reads every session. Demo data shown.
System Mind Map
How raw information becomes action — collected from the world, disseminated through the analytical stack, fused by Bayesian logic, and executed with Dynamic Kelly discipline.
Hover any box to trace its connections · dashed loops are feedback — Hermes learning and walk-forward validation improving the system itself
System Blueprint
Complete signal flow from data ingestion through analysis, orchestration, and execution — with feedback loops.

Quantum Integration
The system is built with dedicated API hooks for Qiskit and Pennylane, enabling seamless integration of Quantum Qubit Models (QQM) and Quantum Hidden Markov Models (QHMMs). When active, quantum simulation data bypasses the classical HMM entirely and feeds directly into the Bayesian inference layer, providing non-linear state detection capabilities that no classical model can replicate.
Membership
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Every layer. Maximum alpha extraction.
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