Automated Trading Workflow Using AI Analysis and Rule-Based Order Routing
Summary
This workflow example periodically gathers account positions, recent minute bars, and an exchange long-short ratio, then combines the data for model-assisted market analysis. The analysis prompt asks the model to assess price action, volume, technical indicators, and existing exposure. A downstream decision step selects among opening or closing a long or short position, or taking no action; the workflow routes trading instructions, sends mobile notifications, and includes a take-profit and stop-loss plugin.
The document illustrates an automation architecture, not a validated trading strategy. It provides no performance evidence, sizing methodology, or detailed safeguards for model errors, stale data, or execution failures. The workflow is marked inactive in its configuration, and the written description and shown nodes do not establish that the full process has been run successfully. Automated orders therefore require independent testing and risk controls before live use.
Key ideas
- The workflow periodically combines account exposure, recent candle data, and a market positioning ratio.
- An AI analysis step is prompted to evaluate price action, volume, indicators, and existing risk.
- A decision module routes one of five actions to trading execution, with mobile notifications for trade actions.
- A take-profit and stop-loss plugin is included, but the document does not explain its parameters or safeguards.
- No trading results are reported, and the supplied configuration is inactive.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.