Live trade desk
Published positions with full ticket detail.
Growzy
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Engines for scan, risk, execute, and publish — presented as product surfaces, not a pitch deck.
See the trading systemTechnology
Floating modules that power scan → risk → execute → publish.
AI Signal Analysis
Pattern & context scoring
Multi-Timeframe Analysis
M1 → H4 alignment
Market Trend Detection
Directional regime map
Risk Engine
Hard exposure gates
Execution Engine
Rule-bound order routing
Performance Analytics
Equity & drawdown views
Audit Logs
Immutable ticket trail
Notifications
Desk & investor alerts
Strategy engine
Each module scores context before capital is committed.
Ride established directional moves.
Enter when impulse and volume align.
Flag compressed ranges near release.
Map pools where orders tend to cluster.
Structure levels for entries and exits.
Bias setups to London / NY / Asia hours.
Suppress entries around high-impact events.
Size and filter by realised ranges.
Trade lifecycle
One ticket. Seven gates. Full audit trail.
Stage 01
Market Scan
Stage 02
Signal Generated
Stage 03
Risk Checked
Stage 04
Trade Executed
Stage 05
Position Managed
Stage 06
Trade Closed
Stage 07
Performance Recorded
Glass surfaces, precise ledgers, and a desk that publishes its work. Built for long sessions, not launch-day demos.
Published positions with full ticket detail.
Returns posted to your ledger after each trading day.
Multi-step review before funds leave the platform.
Operator review on every distribution
Returns are applied only after the desk confirms the closed session — not estimated mid-trade.
D+0 publish
Major pairs monitored by the desk — context for how Growzy presents market coverage.
Major FX and select metals / crypto context — illustrative spreads for presentation only.
EUR/USD
Spread 0.6
GBP/USD
Spread 0.9
USD/JPY
Spread 0.8
XAU/USD
Spread 1.4
BTC/USD
Spread 12
ETH/USD
Spread 1.8
Principles for how Growzy presents reliability and observability.
Ledger-first architecture
Distributions, trades, and wallet movements are recorded as durable events. Marketing charts read from the same illustrative dataset investors will eventually reconcile in product — never a separate “marketing number.”
Ready when you are
Historical performance is published for transparency. Past results do not guarantee future returns — read the risk disclosure before you fund.