Fully-Automated Trading Workflow
A Fully-Automated Trading Workflow is an automated financial trading workflow that enables autonomous trading processes to execute complete trading cycles (making trading decisions without requiring human intervention).
- AKA: Autonomous Trading Process, Self-Directed Trading Workflow, AI Trading Workflow.
- Context:
- It can typically be supported by a Fully-Automated Trading System through autonomous execution.
- It can typically perform Autonomous Decision Making through self-learning processes.
- It can typically implement Strategy Evolution through performance feedback processes.
- It can typically execute Risk Adjustment through adaptive control processes.
- It can typically maintain Position Management through self-optimization processes.
- It can often generate New Trading Strategy through pattern discovery processes.
- It can often adjust Portfolio Balance through adaptive allocation processes.
- It can often modify Risk Parameter through market condition analysis.
- It can often evolve Trading Rule through continuous learning processes.
- It can often calibrate Trading Threshold through market condition assessment.
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- It can range from being a Basic Autonomous Workflow to being an Advanced Autonomous Workflow, depending on its learning capability.
- It can range from being a Single-Strategy Autonomous Process to being a Multi-Strategy Autonomous Process, depending on its strategy diversity.
- It can range from being a Supervised Learning Process to being a Reinforcement Learning Process, depending on its adaptation approach.
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- It can integrate with Market Simulation Process for strategy validation.
- It can connect to Performance Analytics Process for continuous evaluation.
- It can support Model Versioning Process for strategy evolution.
- It can interface with Learning Database Process for experience accumulation.
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- Example(s):
- Institutional Autonomous Processes, such as:
- Cryptocurrency Autonomous Processes, such as:
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- Counter-Example(s):
- Partially-Automated Trading Workflow, which requires human approval processes.
- Rule-Based Trading Workflow, which lacks learning capability.
- Signal Generation Workflow, which lacks autonomous execution.
- Market Analysis Workflow, which lacks trading authority.
- See: Autonomous Trading Process, Self-Learning Process, Strategy Evolution Process, Adaptive Trading Process, Automated Decision Process.