Build autonomous DeFi bots with Coinrule for rule-based swaps, DCA and risk controls on-chain, using smart accounts and permissioned session keys.
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Instead of babysitting swaps, Autonomous DeFi bots on Coinrule execute your playbook on Base, Arbitrum and Binance Smart Chain with self-custody. Set rules like: if ETH drops 5% in 4 hours, swap 2% of USDC into ETH, then place a 3% stop. The engine runs 24/7 and logs every action so you can audit decisions later.
Your funds stay in your wallet, not on a third-party account. Coinrule uses SAFE smart accounts so strategies can trade while you retain ownership. With smart sessions via Rhinestone or Biconomy, you can grant limited permissions, like only swapping up to 500 USDC per day or only interacting with approved tokens.
On-chain execution is only as good as the route. Coinrule connects to Li.fi to search across liquidity sources and pick efficient paths for your swap. You can add guardrails such as maximum slippage of 0.5% and a minimum expected output, so the system skips trades when conditions are poor.
Self-custody guardrails
Create a session key that can trade, but cannot withdraw. Limit it by token allowlists, daily notional caps and time windows, like only running from 00:00 to 06:00 UTC. If anything looks off, revoke the session instantly without moving funds.
Cross-venue flexibility
Prefer centralized liquidity for some pairs? Run the same rule logic on Binance, Kraken, Coinbase and Bybit via API keys, then keep on-chain strategies separate for protocol opportunities.
Buy the Dips
Buys after a 3% drop from the 24h high with RSI below 40. Adds two scale-in buys at -5% and -8%. Exits on a 4% rebound or a time stop.
Grid Trading
Places buy and sell orders around a mid-price with fixed spacing. Re-centers if price moves 6% away from the anchor. Uses a max position cap to limit exposure.
DCA Accumulator
Splits a 400 USDC monthly budget into four 100 USDC weekly buys. Pauses if price is 10% above the 30-day average. Adds a take-profit at +12% on the position.
Stop Loss and Trailing Take Profit
Enters on a close above the 20-day high. Sets a -3% stop, then trails by 2% once profit exceeds 6%. Closes if price falls back under the trailing level.
Bollinger Band Mean Reversion
Buys when price closes below the lower band on 1h candles and RSI is under 35. Sells at the mid-band or when RSI crosses above 55. Skips trades during volatility spikes.
Buy the Dips
Buys after a 3% drop from the 24h high with RSI below 40. Adds two scale-in buys at -5% and -8%. Exits on a 4% rebound or a time stop.
Grid Trading
Places buy and sell orders around a mid-price with fixed spacing. Re-centers if price moves 6% away from the anchor. Uses a max position cap to limit exposure.
DCA Accumulator
Splits a 400 USDC monthly budget into four 100 USDC weekly buys. Pauses if price is 10% above the 30-day average. Adds a take-profit at +12% on the position.
Stop Loss and Trailing Take Profit
Enters on a close above the 20-day high. Sets a -3% stop, then trails by 2% once profit exceeds 6%. Closes if price falls back under the trailing level.
Bollinger Band Mean Reversion
Buys when price closes below the lower band on 1h candles and RSI is under 35. Sells at the mid-band or when RSI crosses above 55. Skips trades during volatility spikes.
Supertrend Momentum
Buys when Supertrend flips bullish on 4h candles and volume is above its 20-period average. Exits on a bearish flip or after 3 losing candles. Adds a 2.5% protective stop.
Portfolio Rebalance
Targets a 60/30/10 split across three assets and checks daily. Rebalances only if any weight drifts by more than 4%. Keeps a cash buffer to reduce over-trading.
Funding Rate Hedge
When funding turns strongly positive, opens a small hedge to reduce directional risk. Closes when funding normalizes for 3 consecutive checks. Uses a fixed max hedge size to cap costs.
Volatility Breakout
Enters when price breaks above the prior day range by 1.2x ATR. Confirms with a higher-high on 15m candles. Exits on a 1x ATR pullback or a trailing stop.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is 15% above its 20-period average. Sells when MA20 crosses back below MA50. Adds a 6-hour cooldown to reduce churn.
Traders usually know what they want, but not how to script it safely. Coinrule turns your idea into if-this-then-that logic with indicators, time filters and position sizing. For example, you can set: when RSI crosses below 30 on 1-hour candles, swap 1% of balance, then stop at -2.5% and take profit at +6%. Clone the rule, change one parameter and compare results in a clean activity log.
Risk controls should be part of the strategy, not an afterthought. With Autonomous DeFi bots, you can cap daily spend, limit slippage and block trades during gas spikes. Add portfolio limits like: never exceed 25% in a single token, and pause buys if total drawdown hits 8% in a week. These constraints help keep automation predictable when markets get chaotic.
Rather than mixing everything into one giant bot, split logic into small, testable rules. One rule can handle entries, another can handle exits and a third can manage hedges or rebalances. This modular approach makes it easier to pause a single component without shutting down your whole system. It also reduces the temptation to overfit a single template.
After a rule runs, you need clarity, not guesswork. Coinrule shows timestamps, triggers and outcomes so you can spot patterns like late entries or frequent stop-outs. Adjust one variable at a time, such as widening a stop from 2% to 3% or changing the timeframe from 15m to 1h.
Launch BotFAQ
Lars H.
Priya K.
Diego R.
Emma T.
Kenji M.
Amara N.
Good automation is boring in the best way. Focus on repeatable triggers, conservative sizing and clear exits before you chase complex indicators. Add time stops so positions do not linger forever, like closing after 72 hours if neither stop nor target hits.
If you cannot monitor every minute, avoid ultra-short signals. Many users start with 1h or 4h conditions, then add a daily rebalance check. A simple schedule reduces churn and keeps gas and fees more predictable.
Every system needs an emergency brake. Set a global pause rule if drawdown exceeds a threshold, and add cooldowns after a trade to prevent rapid-fire re-entries. For example, wait 6 hours after a stop-out before buying again.
Decide whether sizing is fixed, percentage-based or volatility-based. One approach is 1% per entry with a maximum of 5 entries, so worst-case exposure stays bounded. Pair that with a per-token cap to avoid accidental concentration.
Some strategies aim for smoother equity curves, others for capturing big trends. Pick one objective and tune around it, like reducing maximum drawdown or increasing trade frequency. Compare variants across the same market period to avoid false conclusions.
Begin with one template, one venue and tight limits. Once behavior looks stable, expand to more pairs or chains and increase size gradually. Keep notes on each change so you can roll back quickly.
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