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Coinrule
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Turn allocation decisions into repeatable rules instead of gut feel.

4.3
Excellent 4.3
Trustpilot
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Allocation guardrails

Hard Limits For Exposure And Loss

Risk controls include per-asset caps, portfolio-wide stop conditions and rule pauses during high volatility. If BTC drops 5% in 4 hours, reduce new entries to 25% of normal size and require a trend filter before adding risk.

Execution you can audit

Each rule run produces a clear trail: trigger, order, fill and resulting exposure. That makes it easier to iterate like a process, not a hunch.

Features and Benefits

A Simple Framework For Allocation Decisions

Unlike static portfolio models, Coinrule lets you encode decision points as if-then logic. Define a core sleeve, a satellite sleeve and a cash buffer, then automate how funds move between them. For example, keep 40% BTC, 30% ETH, 20% stablecoins and 10% tactical, rebalance weekly, and if volatility exceeds a threshold shift 5% into stablecoins. This turns planning into execution with fewer manual steps.

Concrete Rules You Can Copy And Edit

Rules work best when they are specific. Try: buy 2% of balance when RSI(1H) drops below 30 and price is above MA200, then exit 50% at +4% and trail the rest by 2%. Or: if a position falls 7% from entry, cut it to half size and wait 24 hours before re-entering.

Multi-Venue Allocation Without Fragmentation

For traders running accounts on multiple exchanges, the interface keeps strategies consistent. Connect Binance, Bybit, KuCoin and Bitget, then apply the same sizing logic everywhere. Separate rules by venue, or run a unified approach with different caps per account. Clone a rule set to compare results over time.

Measure What Your Rules Actually Did

Performance improves when you review behavior, not just PnL. Check how often rules fired, average slippage and how exposure changed after each rebalance. Then adjust one variable at a time, like drift tolerance from 3% to 2% or max position from 12% to 10%, and observe the difference.

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
Sofia G. reviewer profile iconSofia G.
Finally, my sizing stays consistent.
Michael R. reviewer profile iconMichael R.
Less tinkering, more disciplined execution.
Lars H. reviewer profile iconLars H.
Weekly rebalancing saved me hours and cut impulse trades.
Priya K. reviewer profile iconPriya K.
I was skeptical about automation, but the logs made it easy to trust and iterate over time.
Diego R. reviewer profile iconDiego R.
The caps stopped me chasing pumps, and the drift rules kept risk steady during choppy weeks.
Yuki T. reviewer profile iconYuki T.
Once my limits were encoded, I focused on research while the system handled entries, trims and rebalances across multiple venues.

Additional Benefits

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Build An Allocation Policy You Can Explain

A good plan is one you can describe in a few lines. Define target weights, a rebalance cadence and risk-off triggers. Then implement them as rules so the process stays steady when markets get noisy.

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Use Templates As Starting Points

Templates are meant to be edited, not worshiped. Clone one, change the timeframe and tighten limits to match your tolerance. Over time you can build a library of rule sets for different regimes.

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Avoid Over-Optimization Traps

If you change ten parameters at once, you will not know what helped. Keep a simple baseline and adjust one variable per week. Consistency often beats complexity.

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Make Risk Visible Before You Trade

Set alerts for exposure, drawdown and concentration so you see problems early. A 15% single-asset weight might be fine, but it should be intentional. Visibility turns surprises into decisions.

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From Idea To Live Execution In Minutes

Draft the rule, start with small size and review the first week of behavior. If fills and slippage look reasonable, scale gradually. This workflow keeps changes controlled.

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