TG Capital operates Omega Protocol — a proprietary AI-driven trading system deployed across a portfolio of regulated futures instruments on a centralised global exchange. The system is engineered to identify and exploit a specific, repeatable structural inefficiency embedded in the mechanics of institutional market participation.
The architecture is entirely autonomous. No human decision-making occurs during live trading hours. A multi-agent AI network — each agent assigned a discrete operational function — executes the full trade lifecycle: signal detection, risk computation, order transmission, position monitoring, and post-session reporting. The operator's function is architectural oversight, not execution.
Performance has been validated across multiple market regimes, including periods of extreme volatility and sustained directional pressure. The system's edge is structural and repeatable — not dependent on market direction, macroeconomic forecasting, or human judgement. Detailed performance data is available to qualified enquiries upon request.
PROTOCOLOmega v2.0
ASSET CLASSRegulated Futures · Exchange-Cleared
MARKET COVERAGEEquity Indices · Precious Metals
EXECUTIONFully Automated · AI-Operated
OVERNIGHT EXPOSURENone — Zero Overnight Risk
RISK ARCHITECTUREProgrammatic · Hard-Coded · No Override
AI SYSTEMMulti-Agent · Fully Autonomous
PERFORMANCE DATARestricted · By Request
// EXECUTION MODEL
Zero Human Intervention
FULLY AI-OPERATED
Every trade. Every decision. Machine-executed.Human-designed.
TG Capital's Omega Protocol operates with zero manual intervention during live trading sessions. From market open to session close, AI-driven automation handles signal detection, entry execution, position sizing, risk management, and exit — entirely without a human at the keyboard. The operator's role is system design, monitoring, and periodic calibration — not trade execution.
🧠
ORCHESTRATION LAYER
A master coordination agent governs all subsystems — initialising session state, synchronising data feeds, and sequencing downstream agent activity with microsecond precision
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EXECUTION ENGINE
Autonomous order transmission to regulated exchange infrastructure — entry, protective stop, and profit target deployed atomically. Zero latency between signal confirmation and order dispatch
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RISK SENTINEL
A dedicated risk agent monitors live drawdown, exposure, and capital allocation in real-time. Trading is halted programmatically if any parameter approaches its ceiling — no human override possible
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INTELLIGENCE & REPORTING
Dedicated agents for ongoing strategy validation, live performance tracking, end-of-session reporting, and future data pipeline synchronisation — fully automated, no manual entry
// HOW THE AI OPERATES
Sequential Operation Flow
From NY session open to EOD flatten — this is the exact sequence Omega Protocol's five AI agents execute autonomously, every trading day, without human input.
STEP 1🌐
SYSTEM INIT
Orchestration layer boots all agents, loads proprietary structural reference data across all instruments
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STEP 2🎯
LEVEL SURVEILLANCE
Continuous multi-instrument monitoring — proprietary structural levels tracked across intraday time series
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STEP 3🔍
PATTERN RECOGNITION
Multi-condition sequential pattern detection — proprietary signal logic evaluates structural validity in real-time
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STEP 4📐
RISK COMPUTATION
Risk Sentinel validates capital headroom; execution engine computes position sizing within hard-coded parameters
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STEP 5⚡
ATOMIC DISPATCH
Entry, protective stop, and take-profit orders transmitted simultaneously to exchange infrastructure — zero partial states
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STEP 6👁️
CONTINUOUS WATCH
Risk Sentinel streams live drawdown telemetry; execution engine maintains position state — zero human visibility required
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STEP 7🚪
POSITION CLOSE
Target or protective exit triggered — or hard session-end flatten. Zero overnight exposure. Capital secured.
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STEP 8📋
SESSION DEBRIEF
Intelligence layer writes full session telemetry to persistent storage — performance metrics updated, systems reset for next cycle
THE AUTONOMOUS TRADING LOOP
01
Prior to session open, the Orchestration Layer initialises all subsystems, ingests current structural reference data across the instrument portfolio, and opens the execution gate when exchange liquidity conditions are satisfied.
02
The Pattern Recognition Engine continuously evaluates intraday price behaviour against proprietary structural criteria. A multi-condition sequential validation sequence must be fully satisfied before any signal is armed — partial matches are discarded.
03
On signal confirmation, the Risk Sentinel performs a real-time capital allocation check against live drawdown, session exposure, and hard ceiling constraints. If any parameter is within a defined proximity threshold, the signal is suppressed.
04
A single atomic instruction set — entry, protective stop, and target — is transmitted to exchange infrastructure. Position sizing is computed dynamically against current capital state. Execution occurs in a single indivisible operation.
05
At session end, all positions are systematically closed irrespective of status. The Intelligence Layer records the full session telemetry, updates cumulative performance state, and resets all subsystems for the next cycle. The operator reviews data only — never intervenes.
🤖
NO HUMAN IN THE LOOP
During live trading hours, zero manual inputs are made.
No discretionary overrides.
No emotion-driven exits.
No missed entries from hesitation.
The system executes exactly as designed — every time.
// STRATEGY
Omega Protocol v2.0
A proprietary AI-operated systematic trading architecture deployed across a diversified portfolio of exchange-regulated futures instruments. The strategy exploits a measurable structural inefficiency in institutional market mechanics — validated across multiple market regimes and timeframes. Specific methodology, instruments, and performance parameters are proprietary and available to qualified enquiries only.
// ACTIVE SYSTEMS
OMEGA PROTOCOL — STRUCTURAL ALPHA ENGINE
THE ARCHITECTURE
Omega Protocol operates at the intersection of institutional market microstructure and real-time AI inference. The system identifies a high-probability, low-frequency pattern that emerges from the mechanics of large-scale order flow — a pattern that is structurally embedded in regulated futures markets and repeatable across instruments and regimes. The specific signal logic is proprietary.
EDGE TYPE
Structural · Institutional Mechanics
EXECUTION WINDOW
Regulated Session · Peak Liquidity
INSTRUMENT UNIVERSE
Exchange-Regulated Futures RESTRICTED
CLEARING
Centralised · No Counterparty Risk
SIGNAL ARCHITECTURE — CLASSIFIED
HOW THE SYSTEM IDENTIFIES ITS EDGE
The signal architecture is a multi-condition sequential validation system. Multiple independent structural criteria must be satisfied in a defined sequence before any signal reaches the execution layer. This multi-gate design eliminates noise, enforces conviction, and ensures that only the highest-quality setups result in capital deployment.
The precise criteria, parameter thresholds, and sequencing logic are proprietary and undisclosed. Performance attribution and methodology documentation are available to qualified institutional enquiries under NDA.
// SYSTEM OUTPUT — ANNOTATED EXAMPLE
AI Signal in Action
OMEGA PROTOCOL · LIVE SIGNAL OUTPUT · REGULATED FUTURES · AUTONOMOUS EXECUTION
SIGNAL TYPE
DIRECTIONAL · SHORT
ENTRY LEVEL
██████
RISK PARAMETER
██████
RISK : REWARD
ASYMMETRIC
OUTCOME
WITHIN PARAMETERS
The chart above illustrates a live Omega Protocol signal — fully executed by the AI system without human intervention. The Orchestration Layer identified the structural setup, the Execution Engine deployed the complete order set atomically, and the Risk Sentinel monitored the position through close. Specific price levels, parameter values, and trade metrics are restricted to qualified enquiries. What is visible is the system's output: a precisely defined, machine-executed operation with asymmetric risk characteristics — exactly as designed.
// PERFORMANCE METRICS
Verified Track Record
STRATEGY PERFORMANCE RESTRICTED
ALPHA GENERATIONPOSITIVE · SUSTAINED
PROFIT FACTOR (LIVE)████
PROFIT FACTOR (HISTORICAL)████
SHARPE RATIO (ANNUALISED)████
MAX DRAWDOWN████
MONTHLY P&L PER ACCOUNT████████
LIVE TRADES EXECUTED███
VALIDATION DATA WINDOWMULTI-YEAR · MULTI-REGIME
Full metrics available to accredited investors & qualified institutional enquiries. Request access →
OPERATIONAL PARAMETERS RESTRICTED
INSTRUMENT UNIVERSE███████████
EXCHANGE INFRASTRUCTURECENTRALISED · CLEARED
EXECUTION WINDOW████████████
RISK PER TRADE█████
OVERNIGHT EXPOSUREZERO — HARD ENFORCED
POSITION SIZING MODELDYNAMIC · CAPITAL-WEIGHTED
SIGNAL LOGIC██████████████
AI AGENT ARCHITECTUREMULTI-AGENT · AUTONOMOUS
EXECUTION PLATFORMINSTITUTIONAL GRADE
DRAWDOWN CEILING█████
// VERIFIED PERFORMANCE — SIMULATION OUTPUT
Equity Curve & Monte Carlo Analysis
The chart below shows the system's live equity trajectory — the bold line — overlaid against 120 Monte Carlo simulation paths generated from the strategy's empirical trade distribution. The fan of outcomes illustrates the statistical robustness of the edge: the vast majority of simulated paths trend positive, with drawdown excursions remaining tightly bounded. Axis values are withheld. Shape speaks for itself.
OMEGA PROTOCOL — MONTE CARLO SIMULATION
120 PATHS · EMPIRICAL TRADE DISTRIBUTION · LIVE EQUITY OVERLAY
SIMULATED PATHSLIVE EQUITYBASELINE
PATHS TRENDING +
91.7%
MAX SIM DRAWDOWN
BOUNDED
LIVE EQUITY
POSITIVE
RUIN PROBABILITY
~0%
DISTRIBUTION
RIGHT SKEW
Axis values withheld · Full simulation data available to qualified enquiries · Request access →
// PRINCIPLES
Operating Philosophy
01
CAPITAL PRESERVATION FIRST
A maximum drawdown under 5% is not a target — it is an engineering constraint. Returns are a consequence of capital survival, not the primary objective. We never risk more than we can afford to lose on any trade, any day, or any week.
02
SYSTEMATIC CONSISTENCY OVER BRILLIANCE
Markets reward consistency, not intelligence. A strategy with a modest but reliable edge, executed without exception, will outperform any discretionary approach over time. Trade number one and trade number one thousand fire identical logic.
03
STRUCTURAL EDGE, NOT PREDICTION
We do not predict market direction. We identify what institutions are doing — engineering liquidity sweeps at key weekly levels — and act faster. The edge is in pattern recognition and execution speed, not forecasting.
04
PROGRAMMATIC RISK ENFORCEMENT
Every risk parameter is enforced in code. No manual override is architecturally possible. The per-trade risk ceiling, intraday position limit, and maximum drawdown threshold are structural constraints — hard-coded into the system, not guidelines subject to discretion.
05
CME REGULATED INFRASTRUCTURE
Operations are confined exclusively to exchange-regulated, centrally-cleared futures contracts. This eliminates counterparty risk entirely. Institutional-depth liquidity ensures reliable execution at intended prices, with minimal slippage and full price transparency on every order.
06
DATA-DRIVEN ITERATION
A dedicated Intelligence Agent conducts systematic weekly reviews of live performance against historical validation data. Strategy parameters are adjusted only with statistical justification across a minimum data window — never on the basis of short-term recency or recent trade outcomes.
// ROADMAP
Scaling Timeline
Q4 2025 — PRESENT
Phase 1: Strategy Validation & Live Deployment
Omega Protocol v2.0 deployed on live funded account. Substantive trade history accumulated across multiple instruments. Risk-adjusted performance metrics validated — Sharpe, Profit Factor, and Drawdown all within design parameters. Multi-agent AI system fully operational across all five functional layers.
Q2–Q3 2026
Phase 2: Pipeline Automation & Public Track Record
Full automation pipeline deployed — execution data flows from trading infrastructure through a processing layer into a persistent database and live website dashboard. The COMMS layer activates, publishing independently verifiable performance data to public channels. A transparent, auditable track record becomes accessible externally.
Q3–Q4 2026
Phase 3: Multi-Account Scaling
Scale to multiple funded accounts across regulated prop firm infrastructure. Optimise capital allocation across the instrument portfolio based on live performance attribution data. Monthly income scales linearly with account additions — detailed projections available on request.
2027
Phase 4: Institutional Capital Programme
With a verified, multi-year live track record, explore structured allocation from accredited investors and family offices. Full institutional-grade reporting infrastructure operational. Risk framework stress-tested across multiple market regimes.