Real-Time Two-Way Grid Trading with Adaptive Price Bounds

Summary

This document describes a grid strategy that divides a price range into evenly spaced levels. It tracks price against those levels, opening fixed-size long positions as price moves below grid lines and closing them when price rises through the next line. The description characterizes the approach as bidirectional, while the supplied trading logic specifically shows long entries and closes rather than explicit short entries.

Bounds can be set manually or recalculated from recent highs and lows or an average, with a configurable deviation. The published example uses BTC/USDT futures on a two-hour chart over January 2024, with a 15-minute base period, but reports no performance results. The notes identify sharp price moves, accumulated fees, and grid density as concerns: more levels can mean more frequent trades with smaller gains per trade. They suggest stop losses and dynamically changing grid counts, and mention leverage as an option, without evidence that these changes improve outcomes.

Key ideas

• The strategy spaces grid levels evenly between an upper and lower price bound.
• It opens fixed-quantity long positions when price is below grid levels and closes them as price moves above the next level.
• Bounds may be manually specified or recalculated from recent prices or an average.
• Sharp moves and accumulated fees can undermine grid performance, while denser grids increase trading frequency.
• The published backtest settings identify a market and period but provide no performance evidence.

Tags

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