Position Grid Bots: Mechanics, Returns, and Risks
Summary
The document describes position grids as automated strategies that place buy and sell orders across a broad price range, seeking to capture repeated price fluctuations. It presents them as suited to range-bound or rising markets and notes that the platform offers spot and futures versions with arithmetic or geometric spacing. It defines grid profit as realized gains from bot trades, unrealized profit and loss as the change in value of held assets relative to entry cost, and total profit as their sum. It also gives annualized return formulas for grid profit and total profit.
The guide notes that bots reserve funds for future purchases and that falling prices can leave the strategy holding assets with unrealized losses. Its claim that losses eventually become profits is not guaranteed: a prolonged decline, price leaving the grid range, or an asset becoming worthless can cause substantial losses. The document says there are no take-profit or stop-loss controls, backtests do not predict future returns, and unusual events such as suspension or delisting may stop a bot. It is product guidance, not independent performance evidence.
Key ideas
- Position grids seek to capture repeated price swings by buying lower and selling higher within a configured range.
- Grid profit reflects completed bot trades, while unrealized PnL reflects the value change in assets still held.
- The strategy can accumulate assets during declines and can lose money when prices trend downward.
- Annualized historical grid returns are backtest measures and do not guarantee future performance.
- Suspensions, delistings, or other unusual events can interrupt bot operation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.