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Coinrule
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Turn inflation uncertainty into rules you can test, automate and monitor.

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Excellent 4.3
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Hedge Playbooks

Three Concrete Rule Examples

Example 1: If BTC drops 6 percent from its 7-day high, buy 2 percent BTC and 2 percent ETH, then wait 24 hours. Example 2: If RSI(14) on 4-hour BTC is below 30 and daily price is above MA200, buy 1 percent and set a 3 percent stop loss. Example 3: If stablecoins fall under 25 percent, rebalance back to 30 percent every Monday at 10:00 UTC.

Risk Controls

Use take-profit ladders, trailing stops and exposure limits so hedges do not turn into oversized bets. Coinrule can pause strategies after a drawdown or require confirmation like Supertrend alignment before adding risk.

Features and Benefits

Build A Hedge That Matches Your Time Horizon

Traders choose different hedges for weeks versus years. For shorter horizons, use trend filters and volatility targeting to avoid adding protection when conditions are calm. For longer horizons, automate periodic accumulation and disciplined rebalancing so the portfolio does not drift into a single risk factor.

Multi-Exchange Execution Without The Busywork

Coinrule connects via API keys so your funds stay on your exchange accounts while rules place orders automatically. Run the same playbook on Kraken and KuCoin, or separate spot accumulation from perp hedges on Hyperliquid. You get unified monitoring, alerts and an audit trail for every action.

Stress Test Your Rules Before You Scale

Before increasing size, start with small allocations and verify behavior in different regimes. Check how the system reacts to a 10 percent gap, a week of choppy ranges and a sudden volatility expansion. Inflation hedge trading works best when you define what not to do, such as no new entries after three losses in a row or no trades during illiquid hours.

Where Coinrule Fits In Your Stack

Use the builder for rule logic, then track performance with simple dashboards and exportable history. If you want to go deeper, see /automated-trading for core concepts and /templates to start from presets. Clone a template, change two parameters and deploy in minutes.

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.
Rebalances run on time, every week.
Priya K. reviewer profile iconPriya K.
I doubted automation, but it kept my risk steady in a choppy month.
Diego R. reviewer profile iconDiego R.
Less screen time, better consistency during spikes.
Sakura O. reviewer profile iconSakura O.
The logs showed which tweaks mattered and which were just noise.
Emma T. reviewer profile iconEmma T.
CPI days used to wreck my discipline. Now the rules execute, stops trigger, and I review results weekly instead of reacting.
Omar K. reviewer profile iconOmar K.
I stopped chasing macro headlines. Entries, exits and rebalances run systematically, and my exposure stays inside the limits I set.

Additional Benefits

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Design For Real-World Inflation Regimes

When inflation expectations rise, correlations can change quickly. Build rules that adapt by switching exposure based on trend strength, volatility and stablecoin buffers. Increase defensive allocation when ATR expands and reduce it when conditions normalize.

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Use Stablecoins As A Tactical Buffer

Stablecoins can act as a liquidity sleeve for drawdowns and scheduled buys. Set a minimum cash percentage, then deploy it only when signals align. This reduces the urge to chase rallies and helps you buy dips with predefined size.

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Hedge Costs Matter

Any hedge has a cost, whether that is missed upside, funding or frequent rebalancing. Track turnover and set minimum move thresholds, like only rebalancing when drift exceeds 4 percent. Small constraints often improve net results by reducing noise trades.

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Combine Signals, Do Not Overfit

Start with one primary signal and one risk filter. For example, use MA trend for direction and RSI for timing, then add a volatility cap to avoid trading during chaotic spikes. Keep parameters simple so the strategy stays understandable and maintainable.

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From Template To Production

Clone a preset, run it small and document what you changed and why. Once behavior matches your expectations, scale gradually and keep the same risk limits. Consistency comes from process, not prediction.

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