Quanta Athena Configuration

This page explains Athena parameters using an outcome-led framework. Settings are grouped by what they influence in live operation: capital discipline, execution behaviour, risk controls and observability.

Configuration Philosophy

Use configuration to improve consistency and control, not to chase short-term results. Make staged changes, observe outcomes across regimes and verify with metrics.

A) Capital and Sizing Controls

• TRADE_LIMIT
  Base sizing for order allocation across layers.

• MAX_CAPITAL_LIMIT
  Ceiling for pair-level capital deployment.

• MIN_VOLUME_TO_SELL
  Exchange minimum notional alignment.

• IGNORE_TRADES_BEFORE
  Excludes legacy trade history before a selected timestamp.

B) Behaviour Controls

• BUY_LOW
  Restricts buys relative to recent buy context.

• SELL_HIGH
  Restricts sells relative to recent sell context.

• BUY_ABOVE_BEP
  Allows or blocks buys above current break-even context.

C) Execution and Runtime Controls

• BUY_ENABLED and SELL_ENABLED
  Side-level execution toggles.

• STOP_AFTER_FULL_SELL
  Stops strategy after full liquidation state.

• VERBOSE
  Enables expanded diagnostic output.

• BALANCE_OUTPUT
  Writes balance snapshots for auditing and analytics.

D) Live Simulation Controls

Athena supports live simulation workflows for validation before full capital deployment.

• GB_SIMULATOR
  Runs strategy logic in simulator mode where supported by your Gunbot environment.

• Simulation time controls
  Use your simulator/runtime settings to define scenario duration and observation windows.

Baseline Deployment Path

1. Set conservative TRADE_LIMIT.
2. Configure MAX_CAPITAL_LIMIT before live start.
3. Keep behaviour toggles in disciplined defaults (BUY_LOW, SELL_HIGH).
4. Use verbose logs only for diagnostics.
5. Validate minimum notional by pair before scale-up.

No parameter set guarantees outcomes. Disciplined configuration improves operating reliability.