Build rule-based on-chain strategies with AI DeFi trading workflows on Coinrule. Automate swaps, DCA and hedges with self-custody and clear risk controls.
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Instead of reacting to every candle, Coinrule turns AI DeFi trading ideas into rules you can test and run. Set a trigger like RSI below 30 on 1-hour candles, then swap 2% of USDC into ETH and place a 3% stop. Execution can run on Base, Arbitrum and Binance Smart Chain while you stay in control of keys.
Traders who prefer decentralized finance do not want to hand over funds to a third party. Coinrule uses SAFE smart accounts so assets remain under your control, while smart sessions via Rhinestone or Biconomy can limit permissions. You can allow only swaps, cap trade size, and set time windows for execution. This setup is built for automation without custody risk.
On-chain markets fragment liquidity across many pools and venues. Coinrule routes trades through Li.fi to find efficient paths across DEX liquidity, reducing manual guesswork. You can define slippage limits like 0.5% and block trades if price impact exceeds your threshold. Logs show each route so you can audit what happened later.
On-Chain Risk Guardrails
Risk rules sit next to entry logic, not as an afterthought. For example, you can require volatility to be below 6% on a 4-hour ATR proxy before buying, or pause all bots after a 10% portfolio drawdown. Add a time stop that exits after 48 hours if price has not moved at least 2%. These guardrails keep automation disciplined during fast DeFi moves.
CEX And Perps Optional
If you want to hedge on volatility spikes, connect centralized venues too. Coinrule can coordinate spot and perps across Binance, Kraken, OKX, Bybit and Hyperliquid from one ruleset. Keep the logic consistent while choosing the venue that fits each leg of the trade.
Buy the Dips
Buys after a 5% drop from the 24-hour high with RSI below 40. Sells 50% at +6% and trails the rest by 2%. Built for choppy pullbacks.
Grid Trading
Places buys and sells inside a defined range using fixed sizes. Re-centers the grid if price breaks out by 3%. Best on liquid pairs with mean reversion.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 and price is above MA100 on 4-hour candles. Exits when RSI exceeds 65 or price closes below MA100. Trend plus momentum filter.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands by 15%. Sets a 2.5% stop and takes profit at 5% with a trailing exit. Built for expansions.
DCA Accumulator
Splits a monthly budget into weekly buys and adds an extra buy when price dips 3% in a day. Pauses if price falls below MA200. Smooths entries over time.
Buy the Dips
Buys after a 5% drop from the 24-hour high with RSI below 40. Sells 50% at +6% and trails the rest by 2%. Built for choppy pullbacks.
Grid Trading
Places buys and sells inside a defined range using fixed sizes. Re-centers the grid if price breaks out by 3%. Best on liquid pairs with mean reversion.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 and price is above MA100 on 4-hour candles. Exits when RSI exceeds 65 or price closes below MA100. Trend plus momentum filter.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands by 15%. Sets a 2.5% stop and takes profit at 5% with a trailing exit. Built for expansions.
DCA Accumulator
Splits a monthly budget into weekly buys and adds an extra buy when price dips 3% in a day. Pauses if price falls below MA200. Smooths entries over time.
Stop Loss and Trailing Take Profit
Opens on a signal, then applies a 3% stop loss. Once up 4%, activates a 1.8% trailing take profit. Locks gains while allowing continuation.
Supertrend Momentum
Buys when Supertrend flips bullish on 1-hour candles and volume is above the 20-period average. Exits on the first bearish flip or a 2% trailing stop. Momentum template.
Breakout + Retest
Enters after a breakout, then waits for a retest within 1% of the level. Stops 2% below the retest low and targets 6%. Helps avoid chasing false breaks.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the mid-band and exits at the upper band. Best in range-bound markets.
Portfolio Rebalance
Rebalances to target weights when any asset drifts more than 5% from allocation. Runs weekly and can skip when volatility is elevated. Keeps risk aligned over time.
Unlike black-box bots, Coinrule makes every condition explicit and editable. Combine indicators, price levels and time logic, then simulate before going live. A typical setup might buy when MA20 crosses above MA50 on 2-hour candles, then sell if price drops 2% from entry or if RSI rises above 70. You can clone rules, change one parameter, and compare results side by side.
When you explore AI DeFi trading, the goal is not to predict perfectly, but to execute consistently. Translate a model insight into guardrailed actions, like buying only when funding is neutral and spread is tight. Add sizing rules such as max 1.5% per trade and max 20% per token. You stay accountable because the logic is visible and limits are enforced.
Every bot needs boundaries, especially on-chain. Smart sessions can restrict what a strategy can do, for how long, and with what maximum size. You can allow only swaps on specific tokens, block approvals, and require manual confirmation for anything above $500. That way, automation stays useful even when you are not watching.
Portfolio views show exposure by token, chain and venue. Set alerts for slippage, failed transactions and unusual volatility, then pause rules instantly if conditions change. Trade logs keep a clear timeline of triggers, routes and outcomes. This makes iteration practical, not stressful.
Launch BotFAQ
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Lars H.
Valentina C.
Kenji M.
Emma T.
Omar K.
When gas spikes or liquidity thins, manual trading gets expensive and error-prone. Automation can wait for better conditions, like executing only if price impact is under 0.7% and the route uses at least two deep pools. You can schedule activity for specific windows to avoid low-liquidity hours. Small constraints often matter more than fancy signals.
Set a rule to buy 1% of balance if price drops 4% in 6 hours and RSI is below 35 on 1-hour candles. Add a second rule that sells 25% at +5% and moves the stop to breakeven after +3%. For trend days, enter when MA50 crosses above MA200 on 4-hour candles and exit on the first close below MA50.
Good systems separate signal generation from execution quality. Use one rule set to define entries and exits, and another layer to enforce slippage, max exposure and cooldowns. For example, add a 30-minute cooldown after any trade to reduce churn. This structure is easier to debug.
Once a bot behaves, clone it for new pairs and adjust only volatility settings. You might widen stops from 2% to 3.5% for higher beta tokens while keeping the same entry logic. Rebalancing rules can keep stablecoin reserves at 30% so you always have dry powder. Scaling becomes a workflow, not a gamble.
Use least-privilege permissions and short session durations for automation keys. Keep trade size caps conservative until you have enough data, and review logs after major market events. If you connect CEX APIs, restrict them to trading only and disable withdrawals. These habits reduce operational risk.
Create a rule, test it, then deploy with tight limits and clear exits. Coinrule gives you one place to manage on-chain swaps, exchange trades and portfolio risk without constant screen time. Start small, iterate, and let consistency do the heavy lifting.
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