Build index-style rules with crypto ETF automation on Coinrule. Automate DCA, rebalancing and risk controls across major exchanges in minutes.
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Instead of manually copying an index, Crypto ETF automation on Coinrule turns your plan into rules that execute the same way every time. Set allocations, triggers and guardrails once, then let the system handle routine buys, trims and rebalances across Binance, Kraken and Bybit.
Traders use the platform to schedule recurring buys, enforce allocation bands and take profits without watching charts all day. You can split a $600 monthly budget into four $150 weekly BTC and ETH buys, then pause automatically if volatility spikes. Rules can also trim winners when a position exceeds a target weight, keeping your portfolio closer to your intended mix.
On this interface, indicators and price conditions become simple building blocks. For example, buy when RSI drops below 30 on 4-hour candles, and sell 25% when RSI rises above 65. Add a trend filter like MA200 to avoid buying dips in a downtrend, and log every action for review.
Index-Style Risk Controls
Risk controls include max position size, portfolio drawdown stops and per-asset cooldowns. You might cap any single token at 20% and rebalance weekly if it drifts by more than 3%. If price drops 5% in 4 hours, you can buy 2% of balance, but only when 24-hour volume is above a set threshold.
Multi-Venue Automation
Connect accounts on Coinbase, OKX, KuCoin and Bitget via API keys, then run the same rules across venues or isolate strategies per exchange. Funds stay on your exchange accounts while the engine sends orders based on your conditions.
Portfolio Rebalance
Rebalance weekly to target weights like 50/30/20 across three assets. Trigger when any holding drifts more than 3%. Add a max slippage rule for market orders.
DCA Accumulator
Buy a fixed amount daily at a set time to smooth entries. Add an extra buy if price drops 4% from the 7-day high. Pause when daily volatility exceeds your limit.
Minimum Variance Rebalance
Shift weights toward lower volatility assets when 14-day ATR rises. Rebalance weekly and enforce a 20% per-asset cap. Built for steadier exposure.
Volatility Regime Switcher
When volatility is high, move part of the basket to stablecoins. When conditions normalize, restore target allocations. Check signals every 4 hours.
Sharpe Targeting Rebalance
Tilt toward assets with improving risk-adjusted momentum. Use a moving average trend filter to avoid downtrends. Rebalance every 7 days with a drift threshold.
Portfolio Rebalance
Rebalance weekly to target weights like 50/30/20 across three assets. Trigger when any holding drifts more than 3%. Add a max slippage rule for market orders.
DCA Accumulator
Buy a fixed amount daily at a set time to smooth entries. Add an extra buy if price drops 4% from the 7-day high. Pause when daily volatility exceeds your limit.
Minimum Variance Rebalance
Shift weights toward lower volatility assets when 14-day ATR rises. Rebalance weekly and enforce a 20% per-asset cap. Built for steadier exposure.
Volatility Regime Switcher
When volatility is high, move part of the basket to stablecoins. When conditions normalize, restore target allocations. Check signals every 4 hours.
Sharpe Targeting Rebalance
Tilt toward assets with improving risk-adjusted momentum. Use a moving average trend filter to avoid downtrends. Rebalance every 7 days with a drift threshold.
MA Crossover with Volume Filter
Buy when MA50 crosses above MA200 and volume beats its 20-day average. Exit when the cross reverses or price falls 3% from entry. Designed for trend confirmation.
Stop Loss and Trailing Take Profit
Set an initial stop loss at 4% and activate a trailing take profit after a 6% gain. Tighten the trail to 1.5% once profit exceeds 10%. Helps protect gains during spikes.
Risk Parity Allocator
Allocate by volatility so no single asset dominates risk. Recalculate weights weekly using recent ATR. Add a per-asset cap to prevent concentration.
Volatility Targeted Trend
Target a fixed portfolio volatility by scaling exposure up or down. Use a trend filter to stay invested only above MA200. Check daily and adjust gradually.
ETF Pair Mean Reversion
Trade a two-asset spread when the price ratio deviates from its mean. Enter at a Z-score threshold and exit near zero. Add a time stop to avoid stale positions.
Unlike rigid funds, you decide the basket, the schedule and the risk limits. You can rebalance every Friday at 16:00 UTC, or only when weights drift beyond 2-5%. Start with a simple BTC/ETH split, then expand to SOL, LINK or ARB as your rules mature.
Every bot can use limit or market orders, cooldown timers and max spread checks. For example, place a limit buy 0.3% below last price, cancel after 20 minutes, then retry once. Add a rule that blocks new buys if the portfolio is down 8% from the 30-day peak, so you avoid averaging into a fast crash.
Coinrule is non-custodial, so you keep control of funds on your connected exchange accounts. The platform uses API permissions you choose, and you can disable keys anytime. For on-chain automation, smart accounts and session keys can limit what a strategy is allowed to do.
After a few weeks, review logs to spot overtrading, missed fills or oversized positions. Clone the rule set, change one variable, and compare outcomes.
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Once your core basket runs smoothly, add overlays like trend filters or volatility switches. Reduce exposure when price falls below MA200, then restore it after a confirmed move back above.
Rather than rebalancing constantly, use thresholds to limit churn. Weekly checks plus a 3-5% drift trigger can reduce unnecessary trades. Consider your jurisdiction and reporting needs.
If you want part of the portfolio on-chain, route swaps through Li.fi for liquidity-aware execution. Smart sessions can restrict spend limits and token permissions.
Define what should happen in extreme moves before they occur. If BTC drops 10% in 24 hours, halt new buys for 12 hours and rebalance only once. If a token rallies 25% in a week, take 10% profit and redistribute to underweight assets.
Rules do not need perfect forecasts to be useful. They need consistency, transparency and the ability to evolve. With a repeatable process, you can measure decisions and improve them over time.
Build a basket, set drift bands, and automate execution with clear risk limits. Start with one simple rule set, then expand as your confidence grows. Coinrule keeps the workflow systematic across connected venues.
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