World-ClassFinancial Decision System

GFX-LLM Decision Model + AI-MAM Intelligent Copy-Trading Execution System

GFX-LLM | World-Class Decision Large Model

Finance is not "language prediction", but constrained decision-making under state space. GFX-LLM models markets as non-stationary, high-noise, strongly-constrained dynamic decision systems (MDP / POMDP), outputting not opinions, but executable, risk-controllable strategy structures (Policy under Constraints).

System Architecture Overview

CORE SYSTEM
GFX-LLM DECISION LAYER MODULE BREAKDOWN
&
XYZ FACTOR STACK
MARKET REPRESENTATION

CANDLESTICKS

ORDER FLOW

CORRELATIONS

COMPRESSED VECTOR

STRUCTURED REASONING

CAUSAL INFERENCE

UNCERTAINTY QUANTIFICATION

INTERPRETABLE SIGNAL

DECISION CORE

RISK CONSTRAINTS

EXECUTION INTENT

STRATEGY OBJECT: SL / TP

XYZ FACTOR STACK
X

TRENDS

TREND STRENGTH
STRUCTURAL BREAKPOINTS
SWITCHING PROBABILITY

Y

ORDER FLOW

PROBABILITY OF CLOSING
SHOCK COSTS
SHORT-TERM DRIFT

Z

TAIL RISK

JUMP DIFFUSION
BLACK SWAN THRESHOLD

FULL-CHAIN AUDITABILITY
Strategy Versioning & Rollback
Decision Full-Chain: Traceable

State

Microstructure, volatility, liquidity, order flow, macro events, risk exposure

Action

Direction, position, leverage, order type, stop-loss/take-profit, downgrade

Constraint

Drawdown, margin, slippage, impact cost, correlation, tail risk

Objective

Long-term Risk-Adjusted Return

Three-Layer Model Architecture

①
Representation Layer | Market Representation

Compress raw market data into learnable structures

Multi-scale features (tick → hourly)
Order book & order flow embedding (depth, spread, imbalance)
Market state vectors (trend/range/liquidity drought)
Cross-asset correlation (USD, rates, indices)
②
Reasoning Layer | Structured Reasoning

Causal inference and uncertainty quantification

Event impact graph (Event → volatility / spread / slippage)
Separate causation from correlation, reduce false signals
Decision uncertainty quantification (epistemic / aleatoric)
③
Decision Layer | Decision Core

Output auditable strategy objects

Strategy template (direction / position / rules)
Risk budget (VaR / CVaR / ES)
Execution intent (limit/market/split, slippage budget)

XYZ Factor Stack (Composable Models)

X
Trend / Regime

Trend strength, structural breaks, switching probability

Y
Order Flow / Liquidity

Fill probability, impact cost, short-term drift

Z
Events / Tail Risk

Jump diffusion, extreme risk, black swan threshold

Fusion Engine
MoE (Mixture of Experts)Regime-driven dynamic weightsMandatory risk constraint layer (no pass = no execution)
Training & Evaluation (Production-Grade)

Training

Offline RL / Imitation Learning + Distribution Drift Detection + Extreme Market Curriculum

Evaluation Dimensions

• Risk: Maximum drawdown, tail loss

• Execution: Slippage, fill rate, impact cost

• Robustness: Performance across market regimes, anomaly recovery time

Explainable & Auditable
Full decision chain traceability (input → weights → constraints → output)
Strategy version management and rollback
World-class audit metrics (KRI)

AI-MAM | Intelligent Copy Trading Execution System

Copy Trading failures stem not from strategies, but from risk transmission and execution deviation. AI-MAM uses engineering systems to ensure replication consistency, risk tiering, and execution quality control.

Five-Layer Execution Pipeline

1
Signal & Intent

Receive GFX-LLM strategy objects

2
Risk Orchestrator

User risk profiles, budget allocation, circuit breakers

3
Allocation Engine

Asset allocation by capital/risk, netting positions

4
Execution Engine

SOR, multi-algorithm execution, slippage & latency control

5
Post-Trade & Audit

Trade-to-trade monitoring, PnL decomposition, audit logs

Replication Consistency Metrics (Engineered)

ΔP

Price Deviation

ΔT

Time Latency

Fill Ratio

Fill Rate

Cost Overrun

Cost Over Budget

Consistency Score

Auto downgrade/pause basis

Risk Tiers (Same Strategy, Multiple Risk Levels)

Conservative

Conservative

Low leverage, strong stop-loss

Balanced

Balanced

Standard risk budget

Aggressive

Aggressive

Higher risk, but stricter tail protection

Each tier has independent risk limits, execution strategies, and circuit breakers

Stability Engineering

Multi-region Active-Active disaster recovery

Replayable execution pipeline

Anti-replay order protection

Backpressure & rate limiting

Quantifiable SLA / SLO

HIGH TRUST CLOSED-LOOP

GFX-LLMAI-MAMMulti-Account ExecutionRisk Control MonitoringLong-term Operation Validation
GFX-LLM DECISION LEVEL

Market Signals

Structured Reasoning

Decision Core

AI-MAM EXECUTION LAYER

Signal

Risk Control

Configuration

Perform

Audits

Supports High-Liquidity Markets & 24/5 Trading

RISK & AUDIT

Real-Time Monitoring

Continuous surveillance of all trading activities

Circuit Breaker Mechanism

Automatic halt on anomaly detection

Full-Chain Auditability

Complete traceability of all decisions

DATA FLOW AND CLOSED LOOP

Decision-to-Execution

with Feedback Loop

CONTINUOUS OPTIMIZATION

Real-time performance feedback drives model improvement

COMPLETE WORKFLOW

From Signal to Validation

Decision IntelligenceExecution PrecisionRisk ManagementContinuous Learning