Automate checks, not assumptions
An Arbitrage Bot should start with honest assumptions about execution. Fees, slippage, and delays can erase a spread quickly, so Coinrule helps you turn thresholds and limits into rules you can review.
Run an Arbitrage Bot with realistic controls: account for fees and slippage, add timeouts, and execute with strict limits across Binance, Kraken and Bybit.

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An Arbitrage Bot should start with honest assumptions about execution. Fees, slippage, and delays can erase a spread quickly, so Coinrule helps you turn thresholds and limits into rules you can review.
Set a minimum spread that includes maker/taker fees and a slippage buffer. Add cooldowns and maximum trades per hour so the bot does not churn during noisy micro-moves.
Arbitrage workflows often require balances on multiple venues. Use exposure caps per asset, position limits, and clear exit logic to manage inventory drift and partial fills.
Execution discipline
Use timeouts and cancellation rules so orders do not linger when spreads compress. Combine this with strict sizing and maximum slippage limits to keep risk proportional.
Transparent iteration
Start in demo, then go live once assumptions match behavior. For related pages, see /crypto-arbitrage-bot and /bitcoin-arbitrage-bot.
Low Volatility Buy And Sell
Reduce activity when volatility rises and spreads get noisy. Resume when conditions normalize. A control-first approach to avoid chasing unstable dislocations.
Grid Trading In Range
Run checks only inside a defined range where spreads are more stable. Add a cooldown after each attempt. Helps keep spread logic from triggering on chaos.
Buy + Stop Loss And Take Profit
Attach protective stops and take-profit rules so inventory risk stays bounded. Cancel if conditions change. Keeps execution disciplined when spreads compress.
Moving Average Scalper
Use short-term signals to capture brief dislocations, then exit quickly. Enforce tight sizing and timeouts. Built for fast checks, not constant trading.
Bollinger Band Below Price with RSI
Combine band signals with RSI confirmation to reduce false positives. Add max slippage and a minimum spread threshold. Helps avoid thin liquidity traps.
Low Volatility Buy And Sell
Reduce activity when volatility rises and spreads get noisy. Resume when conditions normalize. A control-first approach to avoid chasing unstable dislocations.
Grid Trading In Range
Run checks only inside a defined range where spreads are more stable. Add a cooldown after each attempt. Helps keep spread logic from triggering on chaos.
Buy + Stop Loss And Take Profit
Attach protective stops and take-profit rules so inventory risk stays bounded. Cancel if conditions change. Keeps execution disciplined when spreads compress.
Moving Average Scalper
Use short-term signals to capture brief dislocations, then exit quickly. Enforce tight sizing and timeouts. Built for fast checks, not constant trading.
Bollinger Band Below Price with RSI
Combine band signals with RSI confirmation to reduce false positives. Add max slippage and a minimum spread threshold. Helps avoid thin liquidity traps.
MACD Crossings
Trigger only after MACD confirms momentum, then enforce strict sizing and cooldowns. Helps avoid acting into rapid trend shifts.
EMA Cross Under Strategy
Reduce exposure when momentum turns against you and re-enter only when conditions recover. A defensive rule for managing inventory drift.
Ichimoku Cloud with RSI
Use RSI with trend context to avoid fighting strong moves. Add timeouts and caps so the bot stays selective when conditions are unclear.
Optimised RSI and MA Strategy
Use oversold signals with a long-term MA filter, then scale out on recovery. Add cooldowns and limits so entries remain selective and reviewable.
Maximized RSI Strategy
Use oversold/overbought triggers as a proxy for dislocation, then enforce strict sizing and timeouts. Designed to keep entries selective and measurable.
Prove behavior on one venue pair and one asset, then expand. Scaling too quickly makes it hard to identify whether slippage, fees, or latency is driving outcomes.
Review logs weekly and change one variable. Routine iteration beats reactive tweaks after a single bad fill.
Partial fills and inventory drift are common in fast markets. Use caps, timeouts, and clear exit logic so the bot does not accumulate unintended exposure.



During major news, spreads and slippage can widen unpredictably. Pause the bot, then resume once conditions normalize.
Build StrategyFAQ

Start with one pair, one threshold, and strict limits. Complexity can hide risk when spreads move quickly.

Add cooldowns and max trades per hour. Arbitrage setups can churn fees if you do not enforce trade frequency controls.

Inventory risk is real when balances sit on multiple exchanges. Cap exposure per asset and review drift regularly.
Use maximum slippage rules and cancellation timeouts. If liquidity thins, the bot should reduce size or pause instead of forcing trades.
Review logs weekly, change one variable, and measure the impact. Routine improvements beat reactive edits after one trade.
Once results are stable, add more pairs or venues one at a time. Gradual scaling keeps automation manageable.
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