Design autonomous, rule-based on-chain strategies with Coinrule. Automate swaps, DCA and rebalancing with smart accounts, session keys and best-route execution.
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Instead of babysitting wallets and gas, Coinrule turns Agentic DeFi into simple if-this-then-that automation you can audit. Set a rule like: if ETH drops 4% in 6 hours, swap 10% USDC to ETH, then place a 6% take profit. Execution runs on Base, Arbitrum and Binance Smart Chain with non-custodial smart accounts, so you stay in control.
Traders want systems that act independently but never exceed permissions. Coinrule uses smart sessions with limited keys so strategies can trade without exposing full wallet control. You can cap size per trade, set daily spend limits, and require confirmations for new tokens. This keeps automation predictable when markets move fast.
On-chain execution is only as good as routing. The platform sends swaps through Li.fi to search liquidity sources and reduce slippage. Add conditions like max 0.5% price impact, or skip trades when gas exceeds a set threshold. Logs show what happened, when, and why, so you can iterate like a quant.
Self-Custody By Design
Your funds remain under your control with SAFE-based smart accounts. Strategies run with scoped permissions, so a rule can swap but cannot withdraw to unknown addresses. If you pause a bot, permissions stop immediately. That separation is the difference between automation and blind trust.
Agent Workflows, Made Practical
Build workflows that chain actions: enter, scale in, hedge and exit, all from one visual rule. For example, buy when RSI < 30 on 1H, add 25% more if price falls another 3%, then trail a stop from 4% to 2% once profit exceeds 8%. You get autonomy with clear, testable logic.
DCA Accumulator
Buys a fixed amount on a schedule, then adds extra buys if price dips 3% in 24 hours. Takes partial profit at +6% and resets. Useful for steady accumulation with rules.
Grid Trading
Places a grid of buys and sells around a range with equal spacing. Tightens spacing when ATR rises and pauses if price breaks the range by 2%. Designed for sideways markets.
Volatility Breakout
Enters when price closes above a recent high and volatility expands. Uses an ATR-based stop and a trailing take profit once up 5%. Works best on 1H to 4H charts.
Stop Loss and Trailing Take Profit
Opens a position on your trigger, then sets a hard stop at 2% to 4%. Trails profit in steps as price moves in your favor. Keeps risk defined while letting winners run.
Bollinger Band Mean Reversion
Buys when price touches the lower band and RSI confirms oversold. Sells near the middle or upper band, or exits after a time stop. Built for choppy conditions.
DCA Accumulator
Buys a fixed amount on a schedule, then adds extra buys if price dips 3% in 24 hours. Takes partial profit at +6% and resets. Useful for steady accumulation with rules.
Grid Trading
Places a grid of buys and sells around a range with equal spacing. Tightens spacing when ATR rises and pauses if price breaks the range by 2%. Designed for sideways markets.
Volatility Breakout
Enters when price closes above a recent high and volatility expands. Uses an ATR-based stop and a trailing take profit once up 5%. Works best on 1H to 4H charts.
Stop Loss and Trailing Take Profit
Opens a position on your trigger, then sets a hard stop at 2% to 4%. Trails profit in steps as price moves in your favor. Keeps risk defined while letting winners run.
Bollinger Band Mean Reversion
Buys when price touches the lower band and RSI confirms oversold. Sells near the middle or upper band, or exits after a time stop. Built for choppy conditions.
MA Crossover with Volume Filter
Buys when fast MA crosses above slow MA and volume is above its average. Exits on crossback or if momentum fades. Helps avoid weak signals in low liquidity.
Supertrend Momentum
Follows trend using Supertrend flips on 4H candles. Adds a confirmation filter and exits on the first flip against the position. A clean template for trend phases.
Portfolio Rebalance
Rebalances back to target weights on a schedule or when drift exceeds 5%. Can route into stablecoins during risk-off periods. Keeps allocations consistent without manual work.
Funding Rate Hedge
When funding turns extreme, opens a hedge to reduce directional exposure. Closes when funding normalizes and price stabilizes. Useful for managing perps risk on venues like Hyperliquid.
Breakout + Retest
Buys after a breakout, then waits for a retest within 1% of the level. Sets a stop below support and takes profit at a defined multiple. A disciplined way to avoid chasing.
On this platform you can run the same logic across centralized venues and on-chain accounts. Connect Binance, Coinbase, Kraken and Bybit for CEX execution, then add Base or Arbitrum for decentralized finance workflows. You see positions, triggers and risk limits in one dashboard, even when strategies run in different places. That makes it easier to keep exposure consistent and avoid duplicated trades.
Every bot needs memory: what it last did, and what it should do next. Coinrule handles this with rule states, cooldowns and time windows so actions do not spam the chain. You might set: after a buy, wait 30 minutes before any add-on entry, and stop after three adds. These constraints make automation behave like a disciplined operator, not a noisy script.
For Agentic DeFi use cases, risk controls include max slippage, max gas and token allowlists. You can require stablecoin-only funding for new strategies, then expand once results look stable. Set a rule like: never allocate more than 15% to a single token, and exit if drawdown hits 7% from entry. Simple numbers prevent many avoidable mistakes.
After launching, clone a rule and change one variable at a time. Compare performance across timeframes, pairs and venues without rewriting logic. Use alerts to review fills and slippage, then tighten conditions. Iteration beats reinvention.
Launch BotFAQ
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Rather than promising magic, Coinrule focuses on deterministic behavior. Rules only do what you specify, and every condition is visible before you go live. That makes it easier to trust automation in permissionless markets. Keep strategies simple and still get meaningful consistency.
Start by choosing one pair and one timeframe. Add an entry trigger, a stop and a take profit, then run it with small size for a week. Review logs, adjust thresholds, and only then add multi-step scaling. This workflow keeps learning fast and risk contained.
Strategy logic lives in the rule builder, while execution happens on connected venues. That separation lets you swap venues without rewriting your approach. It also helps you compare results across Binance versus on-chain routing. Consistency becomes measurable.
As you add more bots, global limits matter. Set portfolio-level exposure caps, stablecoin buffers and per-asset maximums. Use schedules to avoid trading during illiquid hours. Scaling becomes a governance problem, not a clicking problem.
Every change you make is trackable, from threshold edits to pausing a rule. Use cloning to A/B test ideas without breaking a working system. When a trade surprises you, the log explains the exact trigger chain. That feedback loop is how good systems get built.
If you want on-chain automation that stays transparent and permissioned, start with one template and customize it. Connect a smart account, set limits and let the system execute while you monitor outcomes. Expand from swaps to portfolio workflows as confidence grows.
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