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Coinrule
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Turn supply chain headlines into rules-based execution.

4.3
Excellent 4.3
Trustpilot
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Event-Driven Risk Controls

Guardrails That Keep You In The Game

Risk controls include max allocation per asset, daily loss limits and cooldown timers after a stop. You might pause entries for 6 hours after two losses, or cap exposure at 20% when volatility doubles. These constraints reduce overtrading during chaotic sessions.

Templates You Can Customize

Start from a proven template, then adjust indicators, timeframes and order sizing to match your thesis. Clone variants for different regimes, like trend days versus mean reversion days, and compare results side by side in your history.

Features and Benefits

Build A Catalyst Playbook

Unlike discretionary trading, a Robotics supply chain playbook can be expressed as if-then rules that run 24/7. Example: if ETH volatility (24H) rises above 6% and price breaks yesterday high, buy 0.5% and trail by 1.2%. Add a second rule that hedges with a small perp short if funding exceeds 0.03% per 8 hours. You get consistent execution without staring at feeds.

Use Filters To Avoid False Breakouts

When markets are jumpy, filters matter more than entries. Require two consecutive closes above a level, or confirm with ADX above 20 on 4H to trade only strong trends. You can also add a time filter, like only trade during the London-New York overlap. These small constraints often improve stability. Review performance by rule, not by gut feel.

Hedge Without Overcomplicating

Every bot has to survive the bad days. Set a portfolio rule that reduces exposure if total drawdown hits 4% in 24 hours, then re-enables after a 12-hour cooldown. Pair spot holdings with a small hedge on Hyperliquid perps when correlations spike. Keep position sizing mechanical, like 0.5% to 1% per entry. The goal is controlled participation, not constant action.

See Your Rules Like A Supply Chain Dashboard

Portfolio views show what is running, what triggered and what risk limits are active. Alerts highlight fills, stops and missed conditions so you can iterate quickly. If you want a deeper overview, see /automated-trading and /risk-management. The workflow feels like operations: monitor, adjust, and keep processes stable.

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.
Clean rules, no more impulse trades.
Priya K. reviewer profile iconPriya K.
I set alerts and fills match my plan, even during fast spikes.
Michael R. reviewer profile iconMichael R.
Took me one evening to build a hedge rule that finally stopped my panic selling.
Giulia C. reviewer profile iconGiulia C.
Execution is consistent across exchanges, and the logs make post-trade reviews simple.
Kenji M. reviewer profile iconKenji M.
I was skeptical about automation, but risk limits and cooldowns kept my approach intact through a brutal week.
Amara N. reviewer profile iconAmara N.
My entries used to be late. Now rules trigger on levels, trail profits, and I focus on research instead of clicking.

Additional Benefits

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Connect Exchanges In Minutes

After linking your accounts, you choose markets and set permissions for trading only. Start with one venue, then expand once your workflow is stable. Coinrule keeps configuration centralized so you do not manage separate bots per exchange.

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Design Rules Without Code

Templates cover trend, mean reversion, DCA and hedging, but the builder is the real advantage. Combine conditions like RSI, moving averages and percentage moves with time windows. You can express logic like buy 0.75% if price drops 5% in 4 hours, then sell 25% at plus 3% and trail the rest. This makes complex execution repeatable.

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Add Operational Discipline

Rules work best when you treat them like processes. Define what invalidates a thesis, how much you risk per trade and when you stop trading for the day. Use a daily loss cap and a max open positions limit to prevent strategy creep. Consistency comes from constraints.

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Measure What Matters

Track win rate, average loss and time in trade, not just PnL. Compare two variants that differ by one filter, like ADX on versus off, to see what actually improves outcomes. Small changes compound over many executions. Keep notes on regime shifts and adjust slowly.

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Scale Carefully Across Assets

Once a rule behaves well on one pair, clone it to related markets with adjusted volatility settings. Tighten stops for higher beta tokens and widen them for majors. Use allocation caps so one theme cannot dominate your portfolio. Scaling should be systematic, not emotional.

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