Build rules to track allocations, rebalance automatically and execute on-chain swaps via smart accounts, with self-custody and clear audit trails.
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Instead of juggling dashboards and manual swaps, Onchain portfolio management becomes systematic with Coinrule. Set rules for allocation targets, DCA schedules and risk limits, then let the engine execute on Base, Arbitrum or Binance Smart Chain. You keep self-custody through SAFE smart accounts, while smart sessions limit permissions for safer automation.
Traders often split activity between wallets and centralized venues, which makes tracking and execution messy. Coinrule unifies automation so you can run the same logic on Binance, OKX, Kraken and on-chain routes. Use one interface to define triggers, position sizing and exits, then review logs to see exactly why each action fired. This reduces context switching and helps you keep consistent risk across accounts.
For long-term holders, drift is the silent risk. Set a target mix like 50% ETH, 30% BTC and 20% stablecoins, then rebalance when any sleeve moves more than 3%. Add a time filter so it only checks every 6 hours to avoid over-trading. If gas spikes, routing can seek better liquidity via Li.fi before executing the swap.
Self-custody, not custody risk
Coinrule uses SAFE for self-custody and Rhinestone or Biconomy smart sessions to scope what automation can do. You can allow swaps but block withdrawals, cap trade size at 1% per order, and set an expiry like 30 days for session keys. If you ever want to stop, revoke the session and the automation cannot act. This structure is designed for control first, convenience second.
Execution That Respects Liquidity
Rather than forcing a single DEX, the system routes orders through Li.fi to find efficient paths across pools. That matters when you rebalance smaller caps or rotate between correlated assets. Add slippage rules like max 0.5% for majors and 1.5% for alts to avoid bad fills during thin liquidity.
Portfolio Rebalance
Rebalances when an asset drifts 3% from target weights. Checks every 6 hours to reduce churn. Adds a max slippage rule before executing swaps.
DCA Accumulator
Buys ETH weekly with a fixed amount and pauses if price drops 12% in 24 hours. Resumes when volatility normalizes. A simple way to average in over time.
Stop Loss and Trailing Take Profit
Sets a 4% stop loss after entry and activates a 2% trailing take profit once up 6%. Helps protect gains during fast reversals. Works well on 1H to 4H charts.
Volatility Regime Switcher
When ATR rises above a threshold, shifts allocation toward stablecoins. When ATR falls back, rotates into a risk-on basket. Uses daily candles for smoother signals.
Minimum Variance Rebalance
Targets a lower-vol mix by reweighting monthly based on recent volatility. Caps any single asset at 40% to avoid concentration. Designed for steadier drawdowns.
Portfolio Rebalance
Rebalances when an asset drifts 3% from target weights. Checks every 6 hours to reduce churn. Adds a max slippage rule before executing swaps.
DCA Accumulator
Buys ETH weekly with a fixed amount and pauses if price drops 12% in 24 hours. Resumes when volatility normalizes. A simple way to average in over time.
Stop Loss and Trailing Take Profit
Sets a 4% stop loss after entry and activates a 2% trailing take profit once up 6%. Helps protect gains during fast reversals. Works well on 1H to 4H charts.
Volatility Regime Switcher
When ATR rises above a threshold, shifts allocation toward stablecoins. When ATR falls back, rotates into a risk-on basket. Uses daily candles for smoother signals.
Minimum Variance Rebalance
Targets a lower-vol mix by reweighting monthly based on recent volatility. Caps any single asset at 40% to avoid concentration. Designed for steadier drawdowns.
RSI Oversold Rebound
Buys when RSI drops below 30 on 4H candles and price holds above a support level. Sells when RSI exceeds 60. Aims to capture mean reversion moves.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross. Helps avoid weak signals in low liquidity.
Funding Rate Hedge
If funding turns strongly positive, opens a small hedge to reduce directional exposure. Closes when funding normalizes. Useful when markets get crowded.
Altcoin Rotation
Rotates into top performers over the last 14 days and trims laggards. Rechecks twice per week to limit turnover. Adds a max drawdown stop for the basket.
Buy the Dips
Buys in tranches when price drops 3%, 6% and 9% from a recent high. Takes profit at 5% and 10% rebounds. Adds a time stop if price stays flat for 7 days.
Unlike generic trackers, this page is built around executable rules. Example 1: if ETH allocation exceeds 55% and USDC falls below 15%, swap 2% of portfolio from ETH to USDC, only if slippage is under 0.6%. Example 2: if BTC drops 5% within 4 hours, buy 1% of balance, then set a 4% stop loss and a 2% trailing take profit after price recovers 6%. Example 3: rebalance every Sunday at 18:00 UTC unless gas is above your threshold, then delay 2 hours and retry.
Risk controls are not an afterthought. Set max daily trade count, per-asset exposure caps and portfolio drawdown alerts so automation cannot spiral during chop. You can run a rule in paper mode to validate logic, then switch to live once the behavior matches your intent. For deeper automation concepts, see /automated-trading.
On-chain trading adds unique constraints like gas, slippage and fragmented liquidity. Coinrule lets you express those constraints directly in your rules, so execution stays predictable. Use time windows to avoid low-liquidity hours, and add confirmation steps like only swapping after two consecutive closes above MA50. Every action is logged so you can audit decisions without guessing later.
If you still trade on centralized exchanges, you can keep those strategies running alongside wallet automation. Many users pair Bybit or Hyperliquid for perps with on-chain spot rotations for longer-term holdings. The key is one view of rules, alerts and performance, even when execution venues differ.
Launch BotFAQ
Sofia G.
Jason C.
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Priya K.
Kenji M.
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Every run leaves a clear trail: what triggered, what size was calculated and where execution routed. That makes it easier to iterate and keep decisions explainable. When conditions change, you adjust the logic instead of reacting emotionally.
When volatility spikes, automation should get more conservative, not more aggressive. Add circuit breakers like pausing if portfolio drawdown hits 8% in 24 hours, or if three stops trigger in a row. These controls keep experimentation survivable.
Once a first rule works, scale by cloning and changing only one variable at a time. Run a conservative DCA rule in one wallet and a rotation rule in another. Keeping strategies separated makes performance attribution clearer.
You do not need a quant team to operate systematically. The builder expresses indicators, time filters and position sizing in plain steps. That makes it practical to maintain a process even when markets move fast.
If you are refining entries and exits, start with indicator templates and iterate. If you are optimizing execution, focus on slippage, routing and scheduling. For a deeper overview of rule design, see /how-it-works.
Set targets, define risk and let rules do the repetitive work. Start small with one rebalance band and one DCA schedule, then expand as confidence grows. Coinrule keeps the workflow consistent across chains and exchanges while you keep control of custody.
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