A Fear and Greed Index Workflow for Automated Trading
Summary
This document outlines a simple visual workflow that retrieves a Fear and Greed classification, routes the result through conditional branches, and sends trade instructions to an execution node. A scheduled trigger starts the process; the workflow fetches the index, checks whether its classification is Greed, Neutral, or Fear, and maps those cases to long, flat, or short actions. The workflow also sends an app notification after the action. The included configuration is inactive and leaves the trading symbol unselected, so it demonstrates structure rather than a ready-to-run strategy.
No entry thresholds beyond the category labels, position sizing rationale, exit rules, transaction cost assumptions, backtest, or performance results are provided. The material is mainly an illustration of connecting a sentiment input to automated execution, not evidence that the index predicts returns. A user evaluating the idea would need to define the instrument and exposure, test the mapping historically and out of sample, and account for data timing and execution risks. Other proposed templates in the text are announcements rather than documented methods.
Key ideas
- A scheduled workflow fetches a Fear and Greed classification and routes it through three conditional branches.
- The illustrated mapping assigns long exposure to Greed, no position to Neutral, and short exposure to Fear.
- An execution step is followed by a mobile notification.
- The supplied workflow is inactive and has no selected trading symbol.
- No testing or performance evidence is provided for the sentiment based trading rule.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.