Crypto Grid Bot Calculator

Grid trading divides a price range into evenly spaced levels and keeps a resting buy below and a resting sell above the market at each one. With an upper bound U, a lower bound L and n grids, spacing is (U - L) / n and capital splits into n equal tranches of C / n. A completed round trip earns the tranche size times spacing divided by fill price, minus two commissions, since every cycle is one buy and one sell. That fee term sets a floor on viable spacing: at a 0.1 percent taker fee the round trip costs 0.2 percent, so tighter spacing loses money on every fill. Traders typically target three to five times the round-trip cost and size the range from a 14-day average true range. The strategy is a retail form of inventory-based market making and shares its payoff shape: steady small gains while price oscillates, one large loss if price trends out of range. Below the lower bound every tranche has been converted to the asset at an average cost near the midpoint, with no sell orders left to fill; above the upper bound the position is fully sold and further upside is forfeited. Fill counts estimated as daily range divided by spacing assume clean oscillation and usually overstate reality. Arithmetic spacing also skews returns: in a 30,000 to 50,000 range with 20 grids the 1,000 step is 3.33 percent at the bottom but 2 percent at the top, which is why geometric spacing is generally preferred.

Grid systems predate crypto. Retail foreign exchange traders in the late 1990s and early 2000s ran ladders of pending orders around a range, a technique spread through trading forums and MetaTrader expert advisors. The underlying logic is older still and comes from academic market making: Thomas Ho and Hans Stoll modeled dealer inventory and optimal quote placement in 1981, and Marco Avellaneda and Sasha Stoikov formalized quoting around a reservation price in their 2008 limit order book paper. A grid bot is a simplified version of that idea with fixed quotes and no inventory skew. Crypto exchanges made the technique accessible by building it into their interfaces. Pionex, launched in 2019, shipped free built-in grid bots as its main draw, and third-party services such as 3Commas and Bitsgap offered grid configurations across connected exchange APIs. Binance added native grid trading around 2020, followed by KuCoin, Bybit and OKX. The main evolutions since have been geometric spacing, trailing bounds that follow trending price, and reverse or short grids that sell first. Fee competition mattered as much as features, since moving from 0.1 percent to 0.05 percent per side roughly doubles net profit on tight grids.