SUPERVISED AI TRADING
The system of record for AI trading decisions.
Titan Pilot turns every thesis, objection, score, approval, and refusal into machine-validated evidence your desk can replay, govern, and defend.
Built for professional trading desks — not retail signals, performance promises, or one-click autonomy.
- Shadow Mode Active
- MT5 Bridge Built
- Replay Verified
- Risk-Gated Execution
- No Performance Claims
Titan Pilot is an AI trading infrastructure platform. It uses AI for structured market reasoning — not direct execution authority — and is currently validating its AI shadow pipeline.
AI does not trade.
No model holds execution authority.
AI writes a thesis.
Structured reasoning over a versioned dossier.
Software scores it.
Deterministic code, not model output.
Risk gates decide.
Hard limits are the final authority.
Events record everything.
Immutable, append-only evidence.
Replay proves what happened.
State rebuilt and drift-checked.
- Titan Pilot is built around replayable decision trails, deterministic scoring, broker reconciliation, and risk-first automation.
- Titan Pilot uses AI for structured market reasoning, not direct execution authority.
- Titan Pilot's AI shadow pipeline is certified and running, recording every decision before any promotion toward live execution.
- Titan Pilot does not promise trading performance or financial returns.
Why Titan Pilot
Built for Traders Who Care What Happens After the Signal.
Most trading systems obsess over entries. Titan Pilot is for technical traders and automation builders who want AI assistance without surrendering control — validation, scoring, risk control, broker reconciliation, recovery, replay, and auditability.
Deterministic by Design
Every computable signal is generated by software, not guessed by a model.
AI-Powered Insight
LLMs reason over structured market dossiers instead of raw candle noise.
Risk First, Always
Capital protection, hard limits, and fail-closed behavior sit below every AI decision.
Replayable Decisions
Each trade can be reconstructed from immutable events and verified after the fact.
Core Architecture
A Trading Platform Built Like Infrastructure.
Every stage in the pipeline is deterministic, observable, and replayable. AI participates — it never controls.
- Market Data
- Dossier Builder
- AI Analyst
- Devil's Advocate
- Deterministic Scorer
- Trading Gate
- Risk Gate
- MT5 Execution
- Broker Reconciliation
- Event Log
- Replay / Verify
Signal lifecycle — every hop recorded as an immutable event
LAYER 01
Market Dossier
Structured multi-timeframe data computed by deterministic modules.
LAYER 02
AI Reasoning
Agents reason, challenge, and explain. They do not execute.
LAYER 03
Deterministic Scoring
Pure code combines evidence, objections, macro risk, and cost constraints.
LAYER 04
Risk Gate
Final deterministic risk authority before any execution path.
LAYER 05
Broker Reconciliation
Broker truth is compared against TITAN books. Unknown or ambiguous state halts.
LAYER 06
Replay Verification
State is rebuilt from immutable events to prove the system has not drifted.
Where Each Stage Stands Today
- Market data & dossierLive
- AI analysis & adversarial reviewCertified — shadow mode
- Evidence binding & replayActive
- Human approval (Copilot mode)Designed — next
- Risk GateMandatory, always-on
- Execution & broker reconciliationDeterministic, MT5-bridged
A proposed signal reaches the desk lead with its reason codes attached. Approve or reject, with a hard expiry at the next candle close. An approved signal then walks the exact same risk gates as any other signal — there is no separate “trusted” execution path.
Inside Every Decision
Every Signal Leaves Evidence.
Titan Pilot does not treat AI output as magic. Every prompt, model, response, score, and decision is recorded as structured evidence.
- 1
H1 candle closes
- 2
Pre-gate checks market conditions
- 3
Dossier is built and hashed
- 4
Technical Analyst produces thesis
- 5
Devil's Advocate challenges it
- 6
Deterministic scorer calculates result
- 7
Signal is recorded in shadow mode
- 8
Risk engine remains final authority
- 9
Replay can reconstruct the full story
Scroll horizontally on mobile — the evidence chain never breaks
AI Philosophy
AI Reasons. Software Decides.
“LLMs never compute what deterministic software can prove.”
The AI layer works from a versioned market dossier. It never calculates indicators, never sees raw candles, and never bypasses deterministic risk controls. If AI fails, trading activity reduces to zero. It never increases risk.
01
Dossier First
AI receives structured, validated context.
02
Adversarial Review
Every thesis is challenged before scoring.
03
No Guessing
Malformed, ambiguous, or unsupported outputs are rejected.
04
Shadow Before Autonomy
The system earns promotion through evidence, not optimism.
Safety & Capital Protection
When Titan Pilot Cannot Prove State, It Stops.
This is the emotional opposite of reckless automation. Fail-closed behavior is not a feature flag — it is the foundation.
Never-Guess
When the system encounters something it can't classify, it doesn't guess. An unrecognized event halts processing rather than being skipped. A reconciliation mismatch that matches no known pattern halts trading and pages a human. An AI output that fails a contract check is rejected with a closed reason code — there is no best-effort parse.
Fail-Closed
Every failure mode collapses toward no action. Can't reach the database at boot: the engine exits before trading starts. Both AI providers down: no signal, never a degraded guess. Budget cap would be exceeded: the call is refused before any money is spent. A 48-hour certification soak exercised every one of these paths in production, and each produced an explained, auditable outcome.
Fail-Closed Circuit Breaker
Condition → Deterministic Response
- Unknown broker stateHalt
- Ambiguous execution evidenceHalt
- AI provider failureNo signal
- Budget exhaustedNo signal
- Calendar / news staleWiden no-trade window
- Database unavailableNo trading
- Replay driftAlert and investigate
Proof, Not Promises
Evidence Before Autonomy.
Engineering proof is safe to show. Performance claims are not — so you will not find any here.
Capability
Current State
Proof Artifact
MT5 bridge
Built
Real broker connection validated end-to-end
Event spine
Running
PostgreSQL append-only event log in production
Replay verification
Active
State rebuilt from events and drift-checked
Shadow AI pipeline
Certified
Phase C.5 certified; signals recorded with dossier, score, and hash artifacts
Risk gates
Implemented
Deterministic reject reasons logged per signal
Broker reconciliation
Built
Broker state vs TITAN books — mismatch halts trading
Capability states only — never performance claims
Interactive Evidence Explorer in preparation. Public per-decision evidence will be released only after sanitization, schema validation, integrity verification, and publication approval.
Infrastructure Milestones
Production Infrastructure Before Intelligence.
Titan Pilot's foundation was built before the AI layer: deployment, broker bridge, event sourcing, reconciliation, crash recovery, replay, backup verification, and operational health.
Certified
Infrastructure v1.0.0
Validated
Real MT5 Bridge
Live
PostgreSQL Event Spine
1,662/1,662
Replay Verification, Zero Drift
13s / 78s
Restore / PITR Recovery Verified
24/7
Continuous Health Checks
Wired
Telegram Critical Alerts
Certified
Shadow AI Pipeline
Current Build Status
What's Deployed Today.
The current build includes deterministic replay, an append-only approval event spine, and a read-only Approval Center. Live approval writes and execution activation remain subject to separate controls and owner authorization.
- Deterministic trading engine — built and certified.
- MT5 bridge — validated end-to-end.
- Replay verification and broker reconciliation — implemented.
- A read-only operator approval surface is deployed for controlled internal use. Approval write authority and execution remain separately gated.
This public website does not expose internal operator tools or controls.
Technology Stack
Built on Proven Engineering Primitives.
- Next.js
- Python
- PostgreSQL
- TimescaleDB
- MetaTrader 5
- Docker
- Vercel
- Anthropic
- OpenAI
- Telegram Alerts
- GitHub Actions
Product Modes
A Ladder from Observation to Autonomy.
Promotion between modes is earned with evidence — never assumed.
Shadow Mode
AI runs, records decisions, and learns from market outcomes. No orders.
Copilot Mode
AI proposes. Human approves or rejects. Rejections become evaluation data.
Autonomous Demo
Only after objective evidence, explicit approval, and safety gates.
Live-money autonomy is outside the current public promise and must remain evidence-gated.
Roadmap
A Measured, Evidence-Gated Roadmap.
- 01Infrastructure CoreCompleted
- 02Data SpineCompleted
- 03Replay and VerificationCompleted
- 04Operational HardeningCompleted
- 05AI ArchitectureCompleted
- 06AI Shadow ModeCompleted
- 07Copilot ModeUpcoming
- 08Autonomous DemoEvidence-Gated
- 09Institutional PlatformFuture
Direct Answers
Direct Answers. No Hype.
Titan Pilot is an AI trading infrastructure platform built around replayable decision trails, deterministic scoring, broker reconciliation, and risk-first automation. AI is used for structured market reasoning — never for direct execution authority.
Titan Pilot is not positioned as a typical trading bot. It is an AI trading infrastructure system that separates market reasoning, deterministic scoring, risk control, execution, broker reconciliation, and replay verification into distinct, auditable layers.
No. AI produces structured reasoning over a versioned market dossier. Deterministic software scores the decision, and explicit risk gates remain the final authority before any execution path. If AI fails, trading activity reduces to zero — it never increases risk.
Titan Pilot's shadow-mode AI pipeline is certified and running in production. It records every signal with a dossier, deterministic score, and hash artifacts — without placing live orders and without promising autonomous trading.
Shadow mode runs the complete AI pipeline without placing orders. Every signal is recorded together with its dossier hash, model output, deterministic score, and risk-gate result, so the system can be evaluated on evidence before any promotion toward autonomy.
Every decision is stored as immutable events in an append-only log. Replay verification rebuilds system state from those events and compares it against live state. If the two drift apart, the system alerts and the discrepancy is investigated before trading continues.
Titan Pilot uses deterministic pre-gates, risk gates, broker reconciliation, circuit breakers, replay verification, budget limits, and fail-closed behavior. When the system cannot prove what happened, it stops: unknown broker state halts, ambiguous execution evidence halts, and AI provider failure produces no signal.
Typical bots obsess over entries and promise performance. Titan Pilot focuses on what happens after the idea appears: validation, scoring, risk control, broker reconciliation, recovery, replay, and auditability — built on event-sourced infrastructure with no performance claims.
The current validation focus is EURUSD on MetaTrader 5 infrastructure. Broader market support is future roadmap work.
No. Titan Pilot is software infrastructure. Nothing on this website is financial, investment, or trading advice, and nothing here is a promise of trading performance. Trading involves risk.
Ready to evaluate AI decision governance?
Book an AI Desk Audit to discuss how your trading desk currently uses AI, where governance gaps exist, and whether Titan Pilot is an appropriate fit.