Quanta G Type
Quanta G-Type: Geometric Market Making for Long-Horizon Regimes
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Quanta G-Type is a quantitative geometric market-making strategy designed for operators who want long-horizon execution discipline across wide market ranges.
G-Type is built around geometric grid logic, regime-aware trade mode switching and inventory balancing between base and quote assets. It is designed to run continuously through sideways markets, expansions and deep drawdowns with explicit operating controls.
Who G-Type Was Designed For
G-Type was designed for traders and firms that:
- operate with a long-term horizon,
- want a structured set-and-go market-making process,
- can allocate sufficient capital for wide-range inventory management,
- prefer governed execution over discretionary timing decisions.
Strategic Outcomes
G-Type is designed to target four operating outcomes:
- systematic accumulation and decumulation across large price ranges,
- disciplined inventory balancing between base and quote assets,
- controlled order depth and cadence under volatile conditions,
- transparent runtime verification through performance and risk telemetry.
These are operating objectives, not guaranteed financial outcomes. Results vary with market regime, exchange quality, fee structure and configuration discipline.
Core Features
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Geometric Grid Framework
Builds buy and sell ladders between upper and lower bounds using interval-based spacing. -
Auto Setup Engine
Can initialise required starting values, entitlement checks and initial deployment workflow. -
Dynamic Trade Mode Logic
Supportsauto,accumulate,decumulateandrebalancebehaviour based on order-value asymmetry. -
HODL Mode Option
Supports accumulation-focused behaviour with additional conditional constraints. -
Operational Depth Controls
Uses order depth, hysteresis and min-notional guards to control orderbook behaviour. -
Deterministic Order Lifecycle
Includes duplicate-rate cleanup, order reset conditions and controlled cancellation flow. -
Persistent State and Telemetry
Maintains state, history, chart overlays and sidebar metrics for continuity and diagnostics.
Operating Model (Code-Informed)
Operator Lens
- Geometry Before Action: Define bounded range and interval structure as the primary execution framework.
- Mode-Governed Allocation: Use accumulate, decumulate or rebalance mode to control inventory intent, not impulse.
- Operational Continuity: Persist state, mode metrics and reset conditions so long-horizon behaviour remains auditable.
Range and Mode Layer
01 Intake
price, balances, open-order state
02 Bound Context
upper/lower range governance
03 Grid Construction
interval ladders and expected depth
04 Mode Engine
auto, accumulate, decumulate, rebalance
Execution Governance Layer
05 Eligibility Gates
watch, kill switch, entitlement, partial-order checks
06 Execution Router
reset, cancel, rebuild, post
07 Lifecycle Controls
depth control and mismatch recovery
08 Telemetry and Persistence
TVIC, uPNL, mode diagnostics
Why This Model Matters
G-Type is designed for operators who want a long-horizon market-making framework that can be configured once, governed through controls and assessed through metrics rather than constant discretionary intervention.
Included Components
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G-Type Algorithm for Gunbot
Live geometric strategy engine with mode switching and inventory management logic. -
State, History and Telemetry Layer
Persistent runtime data and diagnostics for ongoing operational oversight.
Documentation Map
Use this sequence to evaluate fit and deploy safely:
Platform Compatibility
- Quanta G-Type is licensed for deployment on Gunbot.
- Designed for long-horizon operation with dedicated base-asset capital allocation.
Fortuna Eruditis Favet
Fortune favours the informed.
Next steps
Follow this path to compare strategy behaviour, validate results and activate licensing.
Related documentation
Continue through the Quanta G Type knowledge base.
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