Grid Trading Strategy Calculator
Estimate monthly profit from a crypto grid trading bot by modeling grid levels, price range, and trading fees. Use it to design a grid strategy before committing real capital.
About this calculator
Grid trading places buy and sell orders at evenly spaced price intervals within a defined range, profiting from each round-trip oscillation. The capital allocated per grid level = totalInvestment / gridLevels. The profit per completed grid cycle = (capital per level) × (priceRange / 100), where priceRange is the percentage width of each grid step. The formula estimates monthly profit as: monthlyProfit = (totalInvestment / gridLevels) × (priceRange / 100) × priceMovements × 30 × (1 − 2 × tradingFee / 100). Multiplying by 30 converts daily price movements to a monthly total. The fee term (1 − 2 × tradingFee / 100) deducts the cost of two transactions (one buy, one sell) per completed grid cycle. Tighter grids capture more oscillations but require more capital per level and generate higher cumulative fees.
How to use
Invest $5,000 across 10 grid levels over a 5% price range. Expect 3 daily price movements through the grid, with a 0.1% trading fee per transaction. Capital per level = $5,000 / 10 = $500. Profit per cycle = $500 × (5/100) = $25. Fee factor = 1 − 2 × (0.1/100) = 1 − 0.002 = 0.998. Monthly profit = $25 × 3 × 30 × 0.998 ≈ $2,245. This assumes every price movement completes a full grid cycle, which is an optimistic assumption — actual results depend on real price behavior and whether the price stays within your grid range.
Frequently asked questions
How do I choose the right number of grid levels for a crypto grid bot?
The number of grid levels controls the balance between profit per trade and trade frequency. Fewer levels mean larger price moves are needed to complete each cycle, earning more per trade but trading less often. More levels mean smaller moves trigger trades more frequently but earn less per cycle. A common starting point is 10–20 levels within a range the asset historically oscillates in. You should backtest with historical price data and ensure the capital per level is large enough to cover minimum order sizes on your exchange.
What happens to a grid trading bot when the price breaks out of the grid range?
If price rises above the upper grid boundary, the bot holds only the quote currency (e.g., USDT) because all orders were sold on the way up, and no further buy orders exist. If price falls below the lower boundary, the bot holds only the base asset (e.g., BTC) because it kept buying on the way down. Both scenarios result in a pause in grid profits and potential unrealized losses if the price keeps moving away. Setting stop-losses or choosing a wide enough range based on historical volatility helps manage breakout risk.
Why do trading fees have such a large impact on grid trading profits?
Grid trading generates a high volume of small trades, and each trade incurs a fee on both the buy and the sell leg. Over hundreds of completed cycles in a month, fee costs accumulate rapidly and can consume a large share of gross profits. For example, a 0.2% fee per side (0.4% round-trip) on a 1% grid step means fees consume 40% of gross profit per cycle before accounting for any spread. Using exchanges with maker rebates or low-fee tiers — and keeping grid steps wider than twice the round-trip fee — is essential for sustainable grid trading profitability.