Build rule-based DeFi bots with Coinrule and execute on-chain via smart accounts. Route swaps across Base, Arbitrum and BSC with risk controls and logs.
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users building rules
1.2M+
strategies executed
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venues and chains supported
Instead of reacting to every candle, Coinrule turns Onchain trading automation into repeatable rules you can test, launch and monitor. Set entries, exits and safeguards, then let the engine execute through your smart account on Base, Arbitrum or Binance Smart Chain. You keep self-custody while the system handles timing and routing.
Security starts with structure. Coinrule uses SAFE smart accounts and session keys via Rhinestone or Biconomy so you can grant limited permissions for trading without exposing your main wallet. You can cap spend per session, restrict tokens and set time windows, then revoke access anytime. This keeps automation practical without turning it into a blind approval risk.
Execution quality matters on-chain. Trades route via Li.fi to scan liquidity sources and reduce unnecessary slippage across pools. You can define maximum slippage, minimum received and gas-aware sizing so the system skips bad fills. Logs show what happened, when and why, so you can iterate like a pro.
DeFi Bots Without Coding
Create simple logic such as: if ETH drops 5% in 4 hours, swap 2% of USDC into ETH, then place a 3% stop and a 6% take profit. Add a second condition like RSI below 30 on 1-hour candles to avoid buying too early. These are readable rules, not scripts.
Guardrails For Live Execution
Set portfolio limits like max 25% in one token, pause after 3 consecutive losses or stop trading if gas exceeds a threshold. The platform treats risk rules as first-class, not an afterthought. You can also mirror the same logic on CEX venues like Coinbase, Kraken, Bybit or Hyperliquid when you want a unified playbook.
Buy the Dips
Buys after a 4% drop from the 24h high and confirms with RSI below 40 on 1H. Sells 50% at +6% and trails the rest by 2%. Designed for choppy pullbacks.
Grid Trading
Places a grid of buys and sells around a mid price with fixed spacing. Re-centers the grid if price moves 8% away. Works best in range-bound markets.
Dynamic Grid with ATR Spacing
Uses ATR on 1H candles to set adaptive grid spacing during volatility. Widens orders when ATR rises and tightens when it falls. Adds a hard stop if price breaks the range by 10%.
RSI Oversold Rebound
Enters when RSI crosses below 30 on 4H and price holds above a higher-timeframe MA. Exits when RSI returns above 55 or price hits a 5% profit target. A classic mean-reversion setup.
Stop Loss and Trailing Take Profit
Opens a position on a breakout trigger, then sets a 3% stop loss immediately. Activates a trailing take profit after +4% and trails by 1.5%. Built to protect downside while letting winners run.
Buy the Dips
Buys after a 4% drop from the 24h high and confirms with RSI below 40 on 1H. Sells 50% at +6% and trails the rest by 2%. Designed for choppy pullbacks.
Grid Trading
Places a grid of buys and sells around a mid price with fixed spacing. Re-centers the grid if price moves 8% away. Works best in range-bound markets.
Dynamic Grid with ATR Spacing
Uses ATR on 1H candles to set adaptive grid spacing during volatility. Widens orders when ATR rises and tightens when it falls. Adds a hard stop if price breaks the range by 10%.
RSI Oversold Rebound
Enters when RSI crosses below 30 on 4H and price holds above a higher-timeframe MA. Exits when RSI returns above 55 or price hits a 5% profit target. A classic mean-reversion setup.
Stop Loss and Trailing Take Profit
Opens a position on a breakout trigger, then sets a 3% stop loss immediately. Activates a trailing take profit after +4% and trails by 1.5%. Built to protect downside while letting winners run.
Supertrend Momentum
Buys when Supertrend flips bullish on 2H and volume rises above its 20-period average. Sells on the first bearish flip or if price closes 2% below the trend line. A clean trend-following template.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on 1H and RSI is under 35. Takes profit at the middle band and exits fully at the upper band. Adds a time stop after 24 hours.
Breakout + Retest
Enters after price breaks a 7-day high and then retests within 1%. Confirms with a higher-high structure before buying. Exits on a close back inside the range or at +8%.
DCA Accumulator
Splits a $500 monthly budget into four $125 weekly buys at a fixed time. Adds an extra buy if price is down 6% week over week. Designed for steady accumulation with simple rules.
Portfolio Rebalance
Rebalances to target weights when any asset drifts more than 5% from allocation. Uses a minimum trade size to avoid over-trading. Helps keep risk consistent across a basket.
On-chain execution should not lock you into one network or one pool. Coinrule lets you reuse the same logic on Base, Arbitrum and Binance Smart Chain, then adjust only token pairs and sizing. If you want to compare venues, run a small 1% allocation test on one chain before scaling to 10%.
Risk controls include max slippage, minimum received and trade cooldowns to prevent rapid-fire swaps. You might set: do not trade if estimated gas is above $8, or if price impact exceeds 0.7%. Add sizing rules like buy 1% of balance per signal, but never exceed $300 per day. These constraints keep Onchain trading automation disciplined when markets get noisy.
After you go live, visibility matters as much as logic. The dashboard shows open positions, recent executions and rule triggers with timestamps. Alerts can notify you when a stop is hit, when a session key expires or when a token allocation crosses your limit. If something looks off, pause the rule instantly and review the execution trail before re-enabling.
Some traders start on-chain and later add centralized venues for liquidity or perps. Coinrule supports workflows that keep your strategy consistent while adapting execution to the venue. Run spot rules on Coinbase or KuCoin, hedge on Hyperliquid and keep your core allocation on-chain. One interface, multiple paths.
Explore BotsFAQ
Lars H.
Priya K.
Michael R.
Giulia C.
Kenji M.
Valentina C.
On-chain execution has quirks: gas, price impact and fragmented liquidity. Coinrule is built to handle those realities with routing, slippage controls and clear execution records. You decide when to avoid trading, not just when to trade. That difference matters in DeFi.
A good workflow separates signals from plumbing. Define signals with indicators and price thresholds, then let the engine handle routing and transaction details. This makes it easier to swap token pairs or move to a different chain without rewriting the idea. It also makes testing and iteration more structured.
Templates work best as baselines. Start with a simple breakout or DCA rule, then add one improvement at a time, such as a volatility filter or a time stop. Track changes so you know what helped and what added noise. Small edits beat constant rewrites.
Most mistakes happen when traders override their own plan. Hard limits like max daily spend, max allocation and emergency stops keep the system aligned with your intent. Add a rule that pauses after a 7% drawdown in 24 hours, then review before resuming. Guardrails are part of the strategy.
Start with tiny sizes to validate fills and fees. Once you see stable behavior for a week, increase allocation in steps, such as 1% to 3% to 5%. Keep notes on what changed: market regime, gas costs and slippage. Scaling is a process, not a switch.
To explore more building blocks, see /automated-trading and /defi-trading for examples of rule logic, risk controls and execution patterns. Compare setups to decide when to use on-chain swaps versus CEX spot or perps. The goal is a repeatable system you can audit and improve.
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