Automate DeFi Crypto strategies with self-custody: run rules with SAFE smart accounts and Li.fi routing across Base, Arbitrum and Binance Smart Chain.
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Most DeFi workflows fail in execution, not in ideas. DeFi Crypto becomes easier to manage when you turn intent into testable rules with clear sizing and exits. Start in demo, then run the same logic on Base, Arbitrum and Binance Smart Chain with full visibility.
Coinrule uses SAFE smart accounts for self-custody and session keys for limited permissions. That lets you automate routine actions while keeping boundaries you can revoke. Add gas, slippage and liquidity checks so the system pauses when conditions are bad.
Use Li.fi routing to find competitive pools without chasing quotes manually. Your rules can rebalance, rotate or de-risk at defined thresholds, then log every step for review. If you hedge on a CEX, you keep the same risk model across venues.
Gas and slippage guardrails
Set maximum slippage, minimum liquidity, and gas ceilings before a rule can execute. If fees spike or depth disappears, the strategy pauses automatically and alerts you. These guardrails reduce costly mistakes during congestion and thin markets.
Execution via SAFE/Li.fi
Treat each rule as a component you can pause, clone or schedule. Session keys limit permissions to only what a strategy needs, and logs show exactly what happened. Over time you build a reliable on-chain playbook instead of scattered manual actions.
Rebalance With Protection
Rebalances the portfolio on a schedule with clear thresholds and a defined stop. Helps keep allocations aligned as prices move. Good for maintaining discipline when volatility increases.
Safe Contrarian
Enters after oversold signals with conservative sizing and tight exits. Uses filters to avoid catching every dip. Designed for controlled mean reversion rather than impulse buys.
Rebalance Contrarian
Rotates out of the strongest token into laggards when thresholds hit. Adds profit and loss limits to keep the rotation bounded. Useful when narratives rotate and correlations rise.
Grid Trading
Places buy and sell levels inside a defined range to harvest volatility. Works best when price oscillates rather than trends. Adds boundaries so the rule does not expand risk during fast moves.
Portfolio Stop Loss and Re-buy
Applies a portfolio-level stop rule to reduce tail risk, then re-enters using defined triggers. Helps prevent deep drawdowns during market stress. Keeps re-entry rules explicit and testable.
Rebalance With Protection
Rebalances the portfolio on a schedule with clear thresholds and a defined stop. Helps keep allocations aligned as prices move. Good for maintaining discipline when volatility increases.
Safe Contrarian
Enters after oversold signals with conservative sizing and tight exits. Uses filters to avoid catching every dip. Designed for controlled mean reversion rather than impulse buys.
Rebalance Contrarian
Rotates out of the strongest token into laggards when thresholds hit. Adds profit and loss limits to keep the rotation bounded. Useful when narratives rotate and correlations rise.
Grid Trading
Places buy and sell levels inside a defined range to harvest volatility. Works best when price oscillates rather than trends. Adds boundaries so the rule does not expand risk during fast moves.
Portfolio Stop Loss and Re-buy
Applies a portfolio-level stop rule to reduce tail risk, then re-enters using defined triggers. Helps prevent deep drawdowns during market stress. Keeps re-entry rules explicit and testable.
Moving Averages-Based Rebalancing
Shifts allocations using moving average filters as a trend proxy. Reduces exposure when a token drops below its trend line. Useful for systematic de-risking without constant monitoring.
MFI Oversold and Overbought
Uses Money Flow Index to detect exhaustion and define entries and exits. Pairs price moves with volume-weighted confirmation. Helps reduce false signals during choppy sessions.
Buy the Dips
Buys after a defined drawdown and confirms with RSI context. Uses small position sizing and a clear exit rule. Designed to turn pullbacks into structured entries without chasing.
Low Volatility Buy And Sell
Targets volatility compression phases with strict risk limits. Enters only when conditions suggest expansion potential. Exits on regime change to avoid grinding sideways markets.
Sell & Reinvest + Take Profit
Takes profit on winners and reallocates into the portfolio with preset thresholds. Helps compound gains while keeping exposure controlled. Pairs profit-taking with clear re-entry logic.
DeFi Crypto strategies can pair on-chain allocation rules with centralized execution for hedges or liquidity. Keep position caps and stop logic consistent across venues so risk stays legible. The point is one playbook, not two disconnected systems.
Treat strategies like modules: one for rebalancing, one for de-risking, one for entries. Review outcomes by rule tag and adjust one variable at a time. You will scale faster when your system is understandable.
On-chain constraints are not a limitation, they are part of the design. Make gas limits and slippage ceilings first-class parameters. When the environment changes, the rule pauses instead of forcing a bad trade.
Logs turn automation into something you can improve. You see what triggered, why it executed, and how much it cost. With alerts, you stay informed without watching charts all day.
Go LiveFAQ
Fatima S.
Lars H.
Diego R.
Amina H.
Nadia V.
Aarav J.
Coinrule is built to keep you in control. On-chain automation runs through smart accounts and session keys, and you can revoke permissions instantly. You get the benefits of consistency without giving up ownership.
Coinrule connects via smart accounts on-chain, so you never share private keys. You can start small and upgrade as your rule library grows. Gas fees are paid to the network, not to Coinrule.
Launch one rule, validate behavior in demo, then go live with small sizing and tight limits. Expand only after the logs show predictable execution. This approach reduces surprises and improves decision quality.
Treat automation like a living system: change one variable, review results, and keep what holds up across market conditions. If a rule stops working, pause it and move on. Consistency is a competitive advantage.
Schedule time to review performance by strategy tag, not by individual trades. Retire rules that do not match your thesis and promote the ones that stay consistent. This keeps your system clean as it grows.
Over time, your setup can evolve from a few focused rules into a structured portfolio of strategies with clear roles. When you can explain each rule, measure it, and pause it quickly, scaling becomes a process rather than a gamble.
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