Arrival Price AI Analytics
CQG AI Algos
The Arrival Price Algorithm is driven by short-term realized volatility and drift signals as well as market-implied cost of liquidity to execute within a risk-optimized time horizon using trader-defined slippage expectations. Arrival Price is benchmarked against mid-market and sweep to fill (market order) metrics.
"Liquidity Cost, Volatility, and Drift" are the quantities used by the algorithm to compute a theoretically optimal Equilibrium Trading Horizon (White Paper). "Seconds spent" reflects the practical application of this horizon over simulated dynamic market conditions. A "fill stream" is also included to demonstrate the effects of the Market By Order Impact Model, which helps size order slices in a manner consistent with price-level population.
The graphs below illuminate the effects of these indicators on optimal execution horizon and therefore, performance results of hypothetical Arrival Price orders.
Impact Model: MBO
Payup Model: PayupAI
- Liquidity Cost:
- Implicit cost of liquidity per lot
- Volatility:
- Normal volatility in dollar terms
- Drift:
- Short-term directional drift
- Seconds Spent:
- Seconds spent in simulated execution