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Coinrule
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Turn index-style diversification into rules you can monitor and refine anytime.

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Index Basket Automation

Use Rules To Keep Diversification Intact

Set a simple policy like: if one token exceeds 28% of the basket, sell down to 25% and redistribute to the rest. Add a second rule that pauses buys if total drawdown hits 10% in 24 hours. These guardrails help you stay systematic during fast moves.

Non-Custodial Control

Your funds stay on your venue. Coinrule connects via API keys on centralized exchanges, or via smart accounts for on-chain execution, so automation does not require handing over custody.

Features and Benefits

Connect Venues And Route Orders Cleanly

For centralized execution, connect Binance, OKX, Bybit or KuCoin and run the same rules across accounts. For on-chain baskets, Coinrule can execute via smart accounts and route swaps through Li.fi to seek efficient liquidity. Keep spot and perps logic separate while viewing risk in one place.

Risk Controls For Basket Trading

Unlike single-asset bots, baskets need portfolio-level limits. Set a max allocation per token, a max daily turnover, and a circuit breaker that pauses all rules after a 12% weekly drawdown. You can also require confirmations, like only buying when RSI is below 35 on 4-hour candles and price is above MA200 on daily candles. These constraints keep automation aligned with your thesis.

Build A Repeatable Index Workflow

Once you have a target list, treat it like a process. Define your weights, your rebalance frequency, and your entry filter, then backtest the logic on recent regimes. Tokenized index funds can be managed with the same discipline: schedule checks, enforce drift thresholds, and document every change. Coinrule makes that workflow easy to clone, so you can test a conservative and an aggressive version side by side.

Start With A Template, Then Customize

Pick a preset, change the weights, and add one rule at a time. A practical first setup is: rebalance every Friday, cap any holding at 25%, and DCA only when price is within 2% of VWAP. After that, layer in hedges or trend filters as you gain confidence.

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
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Sofia G. reviewer profile iconSofia G.
Consistency beats emotion every time.
Ryan F. reviewer profile iconRyan F.
Rules handled exits, and I stopped panic-selling.
Lars H. reviewer profile iconLars H.
Templates got me live fast, then I tuned drift bands and alerts in one weekend.
Priya K. reviewer profile iconPriya K.
The logs showed exactly what fired, so I improved the system instead of guessing.
James W. reviewer profile iconJames W.
I worried automation would overtrade, but caps and pause rules kept my basket disciplined through choppy weeks.
Mei L. reviewer profile iconMei L.
Running the same allocation plan across two exchanges saved hours and cut the small mistakes I made when rebalancing manually.

Additional Benefits

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When To Use On-Chain Execution

If your basket lives in DeFi, on-chain automation can reduce operational friction. Smart sessions can limit permissions, and routing can seek better pools when liquidity shifts. You still decide the rules and the risk limits.

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Separate Signal From Execution

Use indicators to decide what you want, then let the engine handle how to do it. A clean example is: if BTC drops 5% in 4 hours, buy 2% of balance, but only if total exposure is under 60%. This keeps decisions consistent and execution fast.

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Avoid Over-Trading The Basket

Baskets can churn if thresholds are too tight. Increase drift bands, add minimum order sizes, and rebalance less often when spreads widen. A simple time stop, like no more than one rebalance per 24 hours, can help.

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Make Reporting Part Of The System

Schedule a weekly review of performance, turnover and drawdown. If one component dominates risk, adjust caps rather than rewriting everything. Consistent reporting turns automation into a process you can trust.

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Scale Up With Clones And Variants

Clone a working setup and change one variable, like rebalance frequency or the trend filter timeframe. Run variants in parallel to learn what matters. This approach reduces guesswork and keeps changes controlled.

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