Design a Bond ETF strategy in Coinrule with no-code rules for entries, exits and rebalancing. Automate execution via Alpaca, Robinhood and E*TRADE.
410k+
users building rules
1M+
strategies executed
12+
Brokers Connected
Instead of tracking yields and prices manually, a Bond ETF strategy can run as clear if-then rules in Coinrule. Set triggers like price down 1.5% in 5 days then buy 10% of planned size, and log every action for review.
Traders often manage bond exposure by splitting allocations across short, intermediate and long duration funds. In Coinrule you can express that logic as allocation bands, time-based checks and guardrails that prevent overconcentration. Connect to Tradier, Charles Schwab, or Trading212 and keep execution consistent even when macro news is noisy.
Templates help you start with systematic buys, profit-taking and drawdown limits, then customize each condition. For example, you can rebalance monthly, or only when an allocation drifts more than 3% from target. Add alerts so you know when a rule fired, what price was used and which account executed the order.
Fixed-income automation
Link your brokerage and let the engine place orders on schedule or on signals. Run the same rule set across accounts, or isolate strategies by goal such as income, ballast or hedging. Controls like max position size and cooldown timers reduce overtrading.
Risk-first controls
Every rule can include a stop condition, a time stop, or a portfolio-level circuit breaker. Example: if portfolio drawdown hits 4% from peak, pause all bots and send an alert. This keeps automation aligned with your risk tolerance.
Portfolio Rebalance
Rebalances to target weights monthly. Triggers early if any ETF drifts 3% or more. Caps trade size to reduce churn.
Minimum Variance Rebalance
Rebalances toward lower volatility holdings on a schedule. Reduces exposure when realized volatility rises above a threshold. Built for smoother swings.
Risk Parity Allocator
Targets equal risk contribution across ETF sleeves. Trims higher volatility funds and adds to lower volatility ones. Rechecks weekly and ignores changes under 1%.
Volatility Regime Switcher
Rotates between defensive and risk-on baskets using a volatility trigger. If 20-day volatility rises above a threshold, shift to short duration. Switch back after 5 calmer days.
MA Crossover with Volume Filter
Buys when price crosses above the 50-day MA and volume beats its 20-day average. Sells after two closes below the 50-day MA. Helps filter weak breakouts.
Portfolio Rebalance
Rebalances to target weights monthly. Triggers early if any ETF drifts 3% or more. Caps trade size to reduce churn.
Minimum Variance Rebalance
Rebalances toward lower volatility holdings on a schedule. Reduces exposure when realized volatility rises above a threshold. Built for smoother swings.
Risk Parity Allocator
Targets equal risk contribution across ETF sleeves. Trims higher volatility funds and adds to lower volatility ones. Rechecks weekly and ignores changes under 1%.
Volatility Regime Switcher
Rotates between defensive and risk-on baskets using a volatility trigger. If 20-day volatility rises above a threshold, shift to short duration. Switch back after 5 calmer days.
MA Crossover with Volume Filter
Buys when price crosses above the 50-day MA and volume beats its 20-day average. Sells after two closes below the 50-day MA. Helps filter weak breakouts.
RSI Oversold Rebound
Adds exposure when daily RSI drops below 30. Takes partial profit when RSI recovers above 55 or after a 10-day time stop. Useful for pullback entries.
Stop Loss and Trailing Take Profit
Sets a stop 2% below entry and trails once price is up 1.5%. Tightens the trail to 0.8% after gains exceed 4%. Aims to protect downside while letting trends run.
Sharpe Targeting Rebalance
Shifts weight toward the sleeve with stronger risk-adjusted returns. Uses a rolling Sharpe estimate and moves in 2% steps. Adds a minimum holding period to reduce churn.
Bond-Equity Rotation Filter
Rotates between bond and equity ETFs using a trend filter. If equities fall below the 200-day MA, increase bond weight by 15%. Reverts after three closes back above trend.
DCA Accumulator
Splits a monthly budget into weekly buys to reduce timing risk. If price drops 2% in a week, add 25% more that week. Pauses buys after a sharp 5% rally.
Traders often combine scheduled buys with price-based adds to avoid all-in timing. With Coinrule you can place a base order every Friday, then add only if price is down 1% from the weekly open. Keep a hard limit like never exceed 35% in long duration to control sensitivity to rate moves.
A Bond ETF strategy is easier to maintain when rebalancing is written as thresholds, not feelings. Example: rebalance only when any sleeve drifts 3% from target, and add a 2-day delay after large moves to avoid reacting to one headline. The system can run these checks automatically and notify you before or after execution.
When yields gap, bond ETFs can move quickly and spreads can widen. Use a volatility gate such as: if the daily move exceeds 1.2%, do not open new positions for 24 hours. Pair it with a portfolio circuit breaker that pauses automation after a 4% peak-to-trough drawdown. These controls help you stay systematic when markets are disorderly.
After a month, review the log to see which conditions triggered and at what prices. Clone the best rule set and adjust one variable at a time, like changing a 3% drift band to 2.5%. Keep improvements measurable, not anecdotal.
Launch BotFAQ
Lars H.
Emma T.
Nikos D.
Priya K.
Diego R.
Amara N.
Start from a template, then tailor it to your bond universe and risk limits. Swap indicators, change timeframes and add confirmation steps like requiring two daily closes before a rotation. This keeps the workflow structured while staying flexible.
Keep signals simple and execution strict. For instance, let an MA filter decide direction, then use limit orders and max slippage settings to control fills. Encode both parts so you do not improvise mid-trade.
Frequent rebalancing can increase turnover. Use wider drift bands, minimum trade sizes and longer cooldowns to reduce small trades. Schedule reviews around month-end to match reporting habits.
Many users split automation into sleeves: one for steady DCA, one for tactical rotation and one for protection. Each bot can have its own limits and pause rules. This makes performance drivers easier to understand.
A good system includes conditions that prevent trading. Add filters like no new entries after a 1.2% daily move, or pause when volatility exceeds your comfort zone. Sometimes waiting is the best decision.
Define targets, write rules, test with alerts, then scale gradually. With clear thresholds and audit trails, you can manage fixed-income exposure with less noise and more consistency. Learn more at /automated-trading and /stock-trading-bot.
Get Started
