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Coinrule
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Turn on-chain intent into consistent, rules-driven execution without giving up custody.

4.3
Excellent 4.3
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On-Chain Guardrails

Examples You Can Copy In Minutes

Try rules like: buy 2% of USDC into ETH if price drops 5% within 4 hours and slippage stays under 0.7%. Or rebalance weekly: if ETH allocation rises above 35%, swap the excess back to USDC. Add protection: if a position falls 3% from entry, exit 50% and trail the rest by 1.5%.

CEX And Perps Optional

Run the same logic across centralized venues when you need them, including Binance, Kraken, Bybit and Hyperliquid, while keeping one rules workspace and consistent risk controls.

Features and Benefits

Design Execution Like A System

Traders treat automation as infrastructure, not a one-off bot. Start by defining your universe, position sizing and risk limits, then layer entries and exits. For example, cap any single token at 10% of portfolio, require two confirmations for entries, and enforce a cooldown of 30 minutes after a stop. Coinrule keeps these rules readable so you can iterate without rewriting code.

Built For On-Chain Reality

Gas, slippage and liquidity are part of decentralized finance. You can set minimum received, maximum slippage and token allowlists so a trade fails safely instead of filling badly. Use time windows to avoid thin liquidity, like only executing between 12:00 and 20:00 UTC. If a route changes, Li.fi can adapt while staying within your constraints.

Connect The Chains You Use

Coinrule supports live on-chain execution on Base, Arbitrum and Binance Smart Chain, and it can extend to any EVM chain. You can keep separate rule sets per chain or run one strategy with chain-specific parameters. That makes it easier to compare fills, costs and performance across environments. See /automated-trading for rule building basics.

How Coinrule Fits Into Your Stack

Rather than replacing your wallet or exchange, Coinrule sits on top as a rules layer. On-chain, you keep self-custody through smart accounts and scoped sessions. On centralized venues, you connect via API keys with permissions you control. One dashboard, consistent logic, and fewer manual mistakes.

FAQ

Frequently Asked Questions

What Users Say

This section displays customer reviews, ratings, and testimonials from traders who use our platform.
4.3
Excellent 4.3
Trustpilot
Giulia C. reviewer profile iconGiulia C.
Clean logs make trades explainable.
Michael R. reviewer profile iconMichael R.
Cooldown rules stopped my worst overtrading.
Yuki T. reviewer profile iconYuki T.
Slippage limits plus routing cut my worst fills on volatile days.
Diego R. reviewer profile iconDiego R.
I was worried about wallet risk, but session permissions made automation feel safe.
Sofia G. reviewer profile iconSofia G.
After a week in alerts-only mode, I went live and finally followed the same plan across chains without second-guessing.
Raj P. reviewer profile iconRaj P.
Guardrails, revoke controls and clear logs turned on-chain swaps into a repeatable process I can review later.

Additional Benefits

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Start With A Narrow Mandate

Begin with one market and one objective, like accumulating ETH with a strict max drawdown. Keep sizing small, then expand once execution looks stable. A simple rule set often outperforms a complex one you cannot monitor. Consistency is the edge.

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Use Risk Budgets, Not Gut Feel

Define risk in percentages before you define signals. For example, risk 0.5% of portfolio per trade, cap daily loss at 2%, and stop trading after three consecutive stops. Then let the system enforce it. This approach keeps bad days from turning into bad weeks.

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Make Entries Conditional, Not Emotional

Combine two signals so you do not buy every dip. You might require RSI below 35 on 4-hour candles and a reclaim of MA50 before entering. Add a time stop, like exiting after 36 hours if momentum never returns. These constraints reduce churn in choppy markets.

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Treat Exits As First-Class Rules

Most strategies fail on exits, not entries. Use partial profit taking, trailing stops and invalidation levels. For instance, take 30% profit at +4%, move stop to breakeven at +6%, then trail by 1.8%. Coinrule lets you encode that logic so you do not negotiate with yourself mid-trade.

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Audit And Iterate With Real Data

Review execution history weekly and change one variable at a time. If slippage spikes, tighten limits or restrict time windows. If fills are missed, loosen thresholds or adjust sizing. Small, measured edits beat constant rewrites.

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