AI-Assisted Trading Compute Times refers to the computational resources consumed when the AI trading system runs strategies and processes market analysis.
DeepTradeX’s AI strategy capabilities are currently powered by MaxQuant.
Every time the system:
- generates a new AI strategy,
- analyzes market conditions,
- or completes an automated trading decision,
the platform consumes corresponding AI computing resources in the background.
In simple terms:
What users see is:
- AI-generated strategies,
- market analysis,
- and automated trading actions.
What happens behind the scenes is:
- model invocation,
- market data analysis,
- strategy computation,
- and execution logic processing.
All of these processes require real server and AI model computing resources.
Currently on the platform:
each AI strategy generation or AI invocation corresponds to one AI-Assisted Trading Compute Times consumption, with an estimated underlying cost of approximately 0.99 USD per use.
How AI-Assisted Trading Compute Times Is Used on the Platform
AI-Assisted Trading Compute Times is currently applied to two main product modules:
1. AI-Assisted Strategy (Anytime)
Under the Anytime mode:
the system combines:
- live market conditions,
- AI strategy models,
- and real-time data
to generate AI-assisted trading strategies for users.
This includes:
- market direction analysis,
- entry references,
- trend judgment,
- and strategy suggestions.
Each AI strategy generation consumes one unit of AI-Assisted Trading Compute Times.
In simple terms:
every time a user requests AI analysis, the system is consuming real AI computational resources in the background.
2. Fully Automated Trading Agent — Octo Agent
AI-Assisted Trading Compute Times is also used within the fully automated trading Agent system — Octo Agent.
During Octo Agent operation:
The system continuously performs automated analysis and execution based on:
- market movements,
- active strategies,
- risk control,
- and market volatility.
Each time Octo Agent completes a new trading decision or automatically opens a position, it also consumes AI-Assisted Trading Compute Times.
This means:
Octo Agent is not simply an automated order execution bot.
Instead, it continuously invokes AI systems to:
- analyze markets,
- generate decisions,
- and execute strategy logic in real time.
As a result:
every automated trading action generated by Octo Agent corresponds to real AI computation and operational cost behind the scenes.
Why Does AI-Assisted Trading Compute Times Exist?
AI trading systems are fundamentally different from traditional fixed-rule scripts.
Compared to traditional quantitative systems, AI systems require:
- continuous market analysis,
- dynamic market computation,
- real-time strategy generation,
- and adaptive execution logic.
These processes continuously consume model and server resources.
The purpose of AI-Assisted Trading Compute Times is to support:
the stable and continuous operation of the AI trading system.
Understanding AI-Assisted Trading Compute Times
In simple terms:
AI-Assisted Trading Compute Times ≈ the computational resources consumed each time the AI system performs analysis or execution.
It is not a virtual concept.
It represents the real operational computing cost required for the AI system to function.