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Coinrule
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Run specialized bots that collaborate, so execution stays consistent when markets get noisy.

4.3
Excellent 4.3
Trustpilot
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Role-based automation

Build Entry, Exit And Hedge Agents

Create separate bots for momentum entries, mean-reversion adds and protective hedges. For example, an entry rule can buy 2% of balance if price drops 5% in 4 hours and RSI is below 35. A hedge rule can open a small perps position when funding flips positive and spot exposure exceeds 60%. Each agent stays focused, which keeps behavior predictable.

Shared risk layer

Coinrule adds portfolio-level controls so agents do not fight each other. You can cap total open positions, set max daily loss alerts and pause all rules if drawdown hits a threshold. This makes the system behave more like a coordinated desk than a pile of independent bots.

Features and Benefits

Orchestrate Timing Across Agents

Once you have a stable stack, a multi agent trading system can schedule agents to take turns. Run a breakout agent during the London-New York overlap, then switch to a mean-reversion agent in quieter hours. Add a daily reset that cancels stale orders at 23:55 UTC and reposts fresh levels. This reduces accidental overlap and keeps execution aligned with liquidity.

One Risk Policy For Many Bots

Risk controls should not live inside every rule. Set global limits like max 3 concurrent positions, 1.5% per-trade risk and a 6% weekly drawdown circuit breaker. If the circuit breaker triggers, Coinrule can pause all agents and send an alert immediately. You get consistent guardrails even as you iterate on signals.

Multi-Venue Execution Without Fragmentation

For crypto automation, connect accounts on Coinbase, KuCoin, OKX and Bybit and keep sizing consistent. You can route spot strategies to one venue and perps hedges to another, while tracking results in one place. If you prefer on-chain execution, deploy via smart accounts with session keys and route swaps through Li.fi for liquidity. The workflow stays the same: rules decide, the engine executes.

A Practical Setup You Can Copy

Start with three agents: a trend follower, a dip buyer and a risk sentinel. Example: trend agent buys when MA50 is above MA200 and price closes above MA50 on 4-hour candles, then exits on the first close below MA50. Dip agent buys 1% of balance when RSI is below 30 on 1-hour candles, max 3 adds. Risk sentinel pauses everything if BTC drops 4% in 1 hour or if total exposure exceeds 70%.

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
Lars H. reviewer profile iconLars H.
Finally, my rules stay consistent.
Priya K. reviewer profile iconPriya K.
Cleaner execution across venues, fewer late entries.
Diego R. reviewer profile iconDiego R.
I was skeptical at first, but the shared risk caps stopped my bots from spiraling during a choppy week.
Hana K. reviewer profile iconHana K.
The logs made it obvious which rule misfired.
Sarah K. reviewer profile iconSarah K.
Splitting entries, exits and hedges into modules made my process calmer and more consistent over the last two months.
Omar K. reviewer profile iconOmar K.
Running spot on Coinbase and hedges on Hyperliquid is finally manageable, because the portfolio view keeps the whole setup easy to audit.

Additional Benefits

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Designed For Human Oversight

Rather than chasing full autonomy, Coinrule keeps you in control with clear toggles and audit trails. You can pause one agent without touching the rest. Alerts help you intervene when market conditions change.

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Non-Custodial By Default

Your funds stay on your exchange accounts while Coinrule connects through API permissions you control. For on-chain automation, smart accounts and session keys can limit what a strategy is allowed to do.

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Better Collaboration Between Signals

When one rule detects a regime shift, another can take over. A volatility filter can disable mean reversion during breakouts. A portfolio agent can reduce size after a losing streak.

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Clear Paths For Advanced Users

If you already think in systems, treat each agent as a module you can version and improve. Keep parameters explicit, like RSI thresholds, ATR multipliers and time stops. Review results weekly and change one variable at a time.

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Start Simple, Then Add Complexity

Begin with one entry agent and one exit agent, then add hedging only after you trust the basics. Use conservative sizing until you see stable behavior across different market weeks.

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