Automate tokenized commodity exposure with rule-based execution, self-custody smart accounts and on-chain routing across Base, Arbitrum and BSC in minutes.
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Instead of watching charts all day, Coinrule lets you systematize Onchain commodities trading with clear entry, exit and risk rules. For example, buy when price drops 4% in 6 hours, take profit at 6%, and cut risk at -2%. Execution runs through your smart account, so you keep control while the engine follows your plan.
Traders turn indicators into actions using a visual rule builder. Set triggers like RSI below 30 on 1-hour candles or a moving average cross on 4-hour charts, then define position size and cooldowns. You can test ideas, clone them and iterate quickly without writing code.
On-chain execution uses Li.fi routing to seek efficient paths across pools and venues. You choose the chain, token pair and limits, and the system handles the swap workflow. This helps when liquidity shifts between Base, Arbitrum and Binance Smart Chain during volatile sessions.
Self-Custody Smart Accounts
Use SAFE smart accounts with smart sessions from Rhinestone or Biconomy to limit what automation can do. Cap spend per day, restrict approved tokens and set an expiry window like 24 hours. If a rule misbehaves, revoke the session to stop execution fast.
Risk Controls Built In
Define guardrails like max allocation per asset, max daily loss and time-based pauses after a stop. For example, if drawdown hits 3% in a day, pause all strategies for 12 hours. These controls help keep systematic execution disciplined.
Volatility Breakout
Enters when price breaks a recent high and ATR expands. Exits with a trailing stop that tightens after a 5% move. Best on 1-hour to 4-hour charts.
Grid Trading
Places a buy and sell grid inside a defined range, such as +/-3% around a reference price. Rebalances orders as fills occur. Adds a hard stop if price exits the range by 2%.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells when price returns to the middle band or RSI exceeds 60. Built for choppy, range-bound periods.
Stop Loss and Trailing Take Profit
Opens a position on a simple trigger, then manages risk automatically. Uses a fixed stop like -2% and a trailing take profit that activates after +4%. Keeps exits consistent.
DCA Accumulator
Splits a budget into timed buys, such as $200 weekly in four $50 orders. Adds an extra buy if price drops 5% from the last entry. Pauses when volatility spikes past a set level.
Volatility Breakout
Enters when price breaks a recent high and ATR expands. Exits with a trailing stop that tightens after a 5% move. Best on 1-hour to 4-hour charts.
Grid Trading
Places a buy and sell grid inside a defined range, such as +/-3% around a reference price. Rebalances orders as fills occur. Adds a hard stop if price exits the range by 2%.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells when price returns to the middle band or RSI exceeds 60. Built for choppy, range-bound periods.
Stop Loss and Trailing Take Profit
Opens a position on a simple trigger, then manages risk automatically. Uses a fixed stop like -2% and a trailing take profit that activates after +4%. Keeps exits consistent.
DCA Accumulator
Splits a budget into timed buys, such as $200 weekly in four $50 orders. Adds an extra buy if price drops 5% from the last entry. Pauses when volatility spikes past a set level.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is above its 20-period average. Sells on the cross back or if price falls 1.5% below MA50. Helps avoid weak breakouts.
Support and Resistance Bounce
Enters near a defined support zone after a rejection candle. Exits at the next resistance level or on a -2% stop. Useful when price respects clear horizontal levels.
RSI Divergence Hunter
Looks for bullish divergence on 1-hour charts: lower price low with higher RSI low. Enters on a confirmation close, then targets +3% to +6%. Adds a time stop if no follow-through in 12 candles.
Dynamic Grid with ATR Spacing
Builds a grid where spacing adapts to ATR, widening in high volatility. Cancels and rebuilds if ATR changes by 25%. Resets the range after a 4% breakout.
Supertrend Momentum
Enters when Supertrend flips bullish and price closes above the line. Exits when Supertrend flips bearish or a trailing stop hits. Fits trend phases on 4-hour charts.
Unlike manual swaps, Onchain commodities trading becomes repeatable when you define rules for entries, exits and exposure. You might set: if price rises 2% in 30 minutes, buy 1% of balance, then trail by 1.2%. The goal is consistency, not prediction.
Many traders still manage risk on centralized venues while exploring DeFi execution for specific pairs. Coinrule supports exchanges like Binance, Kraken, OKX and Bybit, plus on-chain execution on EVM networks. That means you can keep one rules workflow even if liquidity lives in different places.
Risk controls include slippage limits, max position size and cooldown timers between trades. For example, allow up to 0.5% slippage, cap each entry at 0.75% of portfolio value and enforce a 45-minute cooldown after a fill. These settings reduce overtrading and protect against thin liquidity moments.
After you launch, review logs to see which triggers fired and why. Adjust one variable at a time, like RSI from 30 to 33 or take profit from 5% to 4%. Small, measured changes beat constant rewrites.
Launch BotFAQ
Lars H.
Priya K.
Michael R.
Yuki T.
Valentina C.
Hassan T.
On-chain markets can move fast, and liquidity can fragment. That is why rules should include slippage caps, timeouts and size limits. When conditions are not met, the system simply does nothing.
Manage strategies across connected exchanges and EVM networks from one interface. You can pause a single rule, pause everything or schedule active hours. See /automated-trading for more on rule design patterns.
Smart sessions let you grant limited authority instead of full wallet control. Restrict tokens, cap notional and set expirations so automation stays within boundaries. This approach aligns with self-custody best practices.
Write rules that define both sides of the trade. For example, enter on a breakout, then exit on either a trailing stop or a time stop after 48 hours. Clear exits reduce emotional overrides.
Focus on repeatable setups and measured risk. Track what happens when volatility doubles, when spreads widen or when price gaps. Over time, your rules become a playbook you can trust.
Start with a small allocation, like 0.25% to 1% per entry, and expand only after stable behavior. Use alerts to review fills and adjust parameters weekly. Consistency comes from process and restraint.
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