Automate tokenized ETF workflows with Coinrule using rule-based entries, risk limits and scheduled rebalancing across CEXs and on-chain venues.
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Instead of manually rotating positions, Tokenized ETFs can be managed with a rules-first workflow in Coinrule. Set entries, exits and rebalances that run the same way on Binance, OKX, Bybit or on-chain via Base. Example: if price drops 4% in 24 hours, buy 1% of balance, then place a 2.5% stop loss and a 6% take profit. You keep control with non-custodial connections and clear logs for every action.
These instruments aim to mirror an index or basket while settling as tokens, so execution can happen 24/7. That changes how you manage gaps, liquidity and slippage compared with traditional market hours. Coinrule helps you express the same intent with conditions, sizing rules and safeguards rather than constant monitoring.
Traders often start with one allocation rule and then expand into a small basket with guardrails. You can run a weekly rebalance, cap any single position at 25%, and pause automation if volatility spikes. Templates make it easy to clone a working setup and adjust only the thresholds.
Risk Controls And Guardrails
Risk controls include max position size, cooldown timers and portfolio-level drawdown stops. For example, stop new buys if the basket is down 8% from the weekly high, or if spread widens beyond your threshold. Alerts keep you informed without forcing you to stare at charts.
On-Chain Execution Options
On-chain automation can run through smart accounts with session keys for limited permissions, while routing can use Li.fi to seek better liquidity. You can separate strategy logic from execution venue, so the same ruleset can be tested and then moved live with minimal changes.
Portfolio Rebalance
Rebalance a basket weekly to target weights. Use a 2% drift band to reduce churn. Pause rebalancing when 24h volatility exceeds your threshold.
DCA Accumulator
Buy a fixed amount daily at a set time. Add an extra buy if price dips 3% below the 7-day average. Stop DCA when 4H RSI rises above 70.
Stop Loss and Trailing Take Profit
Enter on a breakout, then set a hard stop at 2.5%. Trail profit by 1.2% once price is up 4%. Exit when the trailing stop triggers.
Volatility Regime Switcher
Use ATR to detect low vs high volatility. Run mean reversion in calm markets and trend rules in high vol. Cut position size by 50% when the regime flips.
Bollinger Band Mean Reversion
Buy when price closes below the lower band on 1H candles. Sell when price returns to the middle band. Exit after 12 hours if no rebound occurs.
Portfolio Rebalance
Rebalance a basket weekly to target weights. Use a 2% drift band to reduce churn. Pause rebalancing when 24h volatility exceeds your threshold.
DCA Accumulator
Buy a fixed amount daily at a set time. Add an extra buy if price dips 3% below the 7-day average. Stop DCA when 4H RSI rises above 70.
Stop Loss and Trailing Take Profit
Enter on a breakout, then set a hard stop at 2.5%. Trail profit by 1.2% once price is up 4%. Exit when the trailing stop triggers.
Volatility Regime Switcher
Use ATR to detect low vs high volatility. Run mean reversion in calm markets and trend rules in high vol. Cut position size by 50% when the regime flips.
Bollinger Band Mean Reversion
Buy when price closes below the lower band on 1H candles. Sell when price returns to the middle band. Exit after 12 hours if no rebound occurs.
Breakout + Retest
Buy after a close above resistance, then wait for a retest within 1%. Confirm with volume above the 20-period average. Exit on a close back below the level.
MA Crossover with Volume Filter
Enter when MA20 crosses above MA50 on 4H charts. Require volume 15% above its 20-period average. Exit when MA20 crosses back below MA50.
Risk Parity Allocator
Target equal risk contribution using volatility-based weights. Recalculate weekly using 14-day realized volatility. Apply a max weight cap to avoid concentration.
ETF Pair Mean Reversion
Trade a two-asset spread using a z-score trigger. Enter when z-score exceeds 2.0 and exit near 0.5. Stop out if z-score expands to 3.0.
Volatility Breakout
Enter when price breaks the prior day range by 0.8x ATR. Set a stop at 1x ATR and a target at 2x ATR. Skip signals during low-liquidity hours.
Unlike traditional brokers, these products may trade across centralized exchanges and on-chain liquidity. Coinrule lets you run the same playbook on venues like Kraken, Bitget, Hyperliquid and Base, while keeping a unified view of rules and risk. Use per-venue sizing if liquidity differs, and add slippage limits to protect execution quality.
When you want disciplined exposure, write rules that are easy to audit. Example: buy 2% when RSI(14) on 1H drops below 30, then sell 50% when RSI rises above 55 and move the stop to breakeven. Another approach is schedule-based: invest $500 per month as four $125 weekly buys, then rebalance every Friday. Coinrule keeps every trigger and order in a readable history so you can iterate.
For on-chain execution, you can use smart accounts so funds stay under your control. Session keys can restrict what the automation can do, such as limiting spend, tokens or time windows. For CEX connections, API keys can be permissioned to trade without withdrawals. This separation helps you automate while keeping operational risk in check.
After you sketch a ruleset, test it on a small allocation first. Compare outcomes across timeframes, then tighten entries or widen stops based on observed noise. Use alerts to review behavior during news-driven spikes without changing the logic mid-trade.
Launch BotFAQ
Lars H.
Priya K.
Michael R.
Sakura O.
Diego R.
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Rather than chasing the perfect indicator, focus on a small set of repeatable triggers. Combine one entry signal, one exit signal and one risk stop. Then change only one variable at a time so results stay interpretable.
Liquidity and spreads can vary by venue and time of day. Use limit orders where appropriate, add max slippage for swaps, and avoid trading during thin hours. A simple cooldown like 30 minutes between entries can reduce churn.
Set alerts for unusual conditions such as a 5% move in 15 minutes or a sudden volatility jump. Review the event, then decide whether to pause, reduce size or let the rules play out. Oversight beats constant intervention.
Start from a proven template like rebalancing or DCA, then layer in one filter such as a moving average trend check. Keep position sizing consistent and document your assumptions. Cloning a bot is faster than rebuilding from scratch.
Begin with a small allocation and a single venue. Run for two weeks, export results, and verify that orders match your intent. Only then expand to a second venue or add a hedge rule.
If you want index-like discipline with token-based instruments, build a ruleset you can explain and audit. Coinrule gives you the builder, templates and controls to automate consistently across venues. Start small, measure, then scale.
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