A Python Crypto Grid Strategy and Its Order-State Design

Summary

This article explains a simple spot-market grid strategy implemented in Python. It divides a chosen price interval into fixed-spaced nodes, places buy orders when the market is between adjacent levels, and submits a sell order at a predefined profit offset after a buy completes. A per-node state record tracks whether an order is idle, pending, or awaiting its closing order. The program checks exchange open orders to infer fills, updates node state, records order errors, and displays grid, order, and status information in tables.

The article includes a backtest interface but provides no numerical performance results in the text. It highlights that grid trading relies on prices remaining within the chosen range; a breakout can leave the strategy with substantial floating losses. Orders are left open even if price moves away, partly to allow fills during sharp price moves. The implementation is offered as a programming and design reference, and the stated logic does not remove the risks of range selection, insufficient account funds, or live execution differences.

Key ideas

• The strategy places buy orders at fixed grid levels and sets a higher closing price for each filled buy.
• Each node stores its price, order amount, order identifier, and current order state.
• The program reconciles tracked nodes with exchange open orders to detect fills and reset completed nodes.
• The strategy depends on price fluctuations within a predefined range and can build floating losses after a breakout.
• Status tables provide a live view of grid nodes, open orders, and recorded errors.

Tags

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