Bidirectional Crypto Grid Trading with AI Sentiment Resets

Summary

This workflow describes a bidirectional grid for cryptocurrency perpetual futures. From an initial reference price, it places long levels below and short levels above; positions are opened as price reaches grid steps and are intended to close when price returns toward the next level. A minute-level trigger monitors the market, while a position cap limits the number of grid levels and therefore bounds the planned grid size.

When the grid is full, a position has been held for more than 24 hours, or other described price conditions arise, the workflow can fetch news and sentiment data for an AI model to assess whether to close positions and reset the grid center. If no reset is recommended, a cooldown is applied. A volatility check can delay initial setup when recent price variation exceeds a threshold. These are design details, not evidence of trading performance: no backtest results are presented. The method also depends on external news data and AI recommendations, and the document does not quantify how these decisions affect risk or returns.

Key ideas

• The system opens long grid positions as price falls and short grid positions as it rises.
• Grid exits aim to capture reversals toward the next level.
• AI analysis may recommend closing positions and resetting the grid after specified stress or holding-time triggers.
• A volatility gate, AI cooldown, and position cap are included as risk controls.
• The document provides no performance results for the workflow.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.