Quanta Infini X
Getting Started with Quanta infiniX
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This guide shows how to deploy Quanta infiniX in a controlled way so you can validate operating quality before increasing capital.
The purpose of onboarding is not speed to activation. The purpose is to confirm that the strategy is delivering the intended outcomes in your environment: efficient turnover, controlled risk and measurable execution behaviour.
Deployment Objective
Before setup, define what success means for your desk:
- stable maker-first posting behaviour,
- clean order lifecycle management,
- acceptable fee-adjusted execution quality,
- risk posture that remains inside your limits.
Prerequisites
Prepare a production-ready environment before live posting:
-
Gunbot host stability
Use a reliable machine with predictable uptime. -
Exchange API permissions
Use read and trade permissions only. Do not enable withdrawals. -
Liquidity-aware pair selection
Choose pairs with sufficient depth for your intendedTRADE_LIMIT. -
Defined risk policy
Predefine max allocation, drawdown tolerance and escalation actions.
First-Time Setup
- Create or select a pair in Gunbot.
- Set strategy to
quanta_infinix. - Configure baseline sizing parameters:
STARTING_VALUETRADE_LIMITMIN_ORDER_SIZE
- Configure execution toggles:
BUY_ENABLEDSELL_ENABLEDVERBOSE(for diagnostics only)
- Configure spread and regime controls:
TRADE_FEESIGMA_LOWERSIGMA_UPPER
- Start with small live sizing and observe several full cycles.
Validation Gates Before Scaling
Only scale once these conditions are consistently true:
- maker-first behaviour is stable,
- partial-fill and depth controls are working as intended,
- runtime health metrics are stable,
- risk and capital metrics remain within plan,
- performance quality is acceptable after fees.
Recommended Rollout Path
- Simulate or paper test where possible.
- Start small on one live pair.
- Observe across more than one market regime.
- Tune only one variable set at a time.
- Scale in controlled increments.
This path supports disciplined capital reuse and avoids premature scaling based on short-term noise.
Related Documentation
Next steps
Follow this path to compare strategy behaviour, validate results and activate licensing.
Related documentation
Continue through the Quanta Infini X knowledge base.
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How infiniX Works