Design a rules-based plan for gold ETFs on Coinrule. Automate entries, exits, DCA and rebalancing with clear risk limits across major US brokers.
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Instead of reacting to headlines, a Gold ETF strategy on Coinrule turns your plan into rules you can test and run. Set triggers like buy after a 3% pullback in 10 trading days, or add when RSI(14) drops below 35 on daily candles. Then automate exits with a 6% stop loss and a 10% take profit, or trail by 4% once price is up 8%. Connect to Alpaca, Robinhood, Charles Schwab, Trading212 or E*TRADE and keep execution consistent.
Traders often use GLD or IAU as a liquid proxy for spot gold, but the same framework works for a basket that includes miners or a defensive sleeve. Define position sizing as a percent of portfolio, cap exposure, and schedule periodic buys. The engine logs each decision so you can review what happened and why.
Start with one condition and one exit, then layer confirmations as you gain confidence. For example, require price above the 200-day moving average before any new buy, or pause entries when volatility spikes. Templates help you launch quickly, and you can clone and tweak rules without rewriting anything.
ETF Automation Templates
Pick a template, swap the ticker to your preferred gold fund, and adjust thresholds to match your risk tolerance. A common setup is DCA weekly, then add an extra tranche only if price dips 2% from the 20-day high. You can also schedule a monthly rebalance so gold stays near a target weight even when equities move fast.
Risk Controls And Guardrails
Coinrule adds practical safety rails like max allocation, cooldown timers between buys, and global kill switches. If a rule triggers too frequently, enforce limits such as one entry per day or a maximum of 3 adds per month. Alerts keep you informed without watching every candle.
Buy the Dips
Buys after a 2-4% pullback from a recent high on daily candles. Adds only once per day to avoid overtrading. Exits on a rebound to a chosen moving average or a fixed take profit.
DCA Accumulator
Splits a monthly budget into weekly buys to smooth entries. Optionally increases the next buy by 25% if price is down 3% week over week. Uses a max allocation cap to control exposure.
Stop Loss and Trailing Take Profit
Enters with a trend filter like price above MA200 on daily candles. Sets a hard stop loss, then switches to a trailing take profit after gains pass a threshold. Aims to protect downside while letting winners run.
Portfolio Rebalance
Targets a fixed portfolio weight for gold ETFs, such as 10%. Rebalances monthly or when drift exceeds 2 percentage points. Helps maintain diversification without manual calculations.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on daily candles. Sells when price returns to the middle band or RSI normalizes. Adds a time stop to avoid staying in a stagnant trade.
Buy the Dips
Buys after a 2-4% pullback from a recent high on daily candles. Adds only once per day to avoid overtrading. Exits on a rebound to a chosen moving average or a fixed take profit.
DCA Accumulator
Splits a monthly budget into weekly buys to smooth entries. Optionally increases the next buy by 25% if price is down 3% week over week. Uses a max allocation cap to control exposure.
Stop Loss and Trailing Take Profit
Enters with a trend filter like price above MA200 on daily candles. Sets a hard stop loss, then switches to a trailing take profit after gains pass a threshold. Aims to protect downside while letting winners run.
Portfolio Rebalance
Targets a fixed portfolio weight for gold ETFs, such as 10%. Rebalances monthly or when drift exceeds 2 percentage points. Helps maintain diversification without manual calculations.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on daily candles. Sells when price returns to the middle band or RSI normalizes. Adds a time stop to avoid staying in a stagnant trade.
MA Crossover with Volume Filter
Buys when a fast MA crosses above a slow MA on daily candles, but only if volume is above its 20-day average. Exits on the reverse cross or a protective stop. Aims to reduce whipsaws in choppy periods.
RSI Oversold Rebound
Buys when RSI(14) drops below 30 and then crosses back above 32. Uses an initial stop and scales out as RSI reaches 55-65. Works best with a higher-timeframe trend filter.
Donchian Channel Turtle
Enters on a breakout above the 20-day Donchian high and exits on a break below the 10-day low. Uses position sizing to limit risk per trade. Built for sustained trends.
Volatility Regime Switcher
Cuts position size when realized volatility rises above a set level. Restores normal sizing after volatility cools for several sessions. Helps keep risk steadier across regimes.
Dollar Index Filtered Trades
Allows new entries only when a dollar index proxy is below its moving average, and pauses buys when it strengthens. Combines macro context with simple price triggers. Adds a cooldown to prevent rapid flip-flops.
Users running a Gold ETF strategy typically want clean fills, clear reporting, and minimal manual steps. Coinrule connects to brokers like Tradier, TradeStation, Tastytrade, Public and WeBull so your rules can place orders when conditions hit. You choose order types, sizing, and time windows, then let the system handle the routine. Always review your broker settings and permissions before going live.
Risk controls matter more than clever entries. Set a maximum gold allocation, define a per-trade risk limit, and add a cooldown so the bot cannot stack buys during a fast slide. You can also require confirmation, like price above MA200, before any add-on orders trigger. These guardrails help keep the plan aligned with your broader asset mix.
Before deploying, backtest the logic on historical data and sanity-check edge cases. Try variations like RSI 30 vs 35, or a 5% stop vs 7%, and compare drawdowns. Once you like the behavior, clone the rule and adjust only one parameter at a time. That workflow keeps improvements measurable instead of random.
After launch, you stay in control with real-time alerts, execution logs, and simple pause switches. If a rule fires unexpectedly, the audit trail shows the exact condition that triggered it. You can disable only the entry leg while keeping exits active, which is useful during uncertain macro events. This keeps automation accountable.
Build StrategyFAQ
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Gold exposure often plays a role when inflation expectations rise or equity risk increases. Automation helps you keep that role consistent instead of changing it based on daily news. With scheduled rebalancing, you can maintain a steady hedge without constant attention.
Many investors buy too much after a spike or sell after a drawdown. A rules-based engine prevents both by enforcing sizing and exits. If you want discretion, set alerts that require confirmation before the next order.
A practical approach is to allow buys only in an uptrend, then use pullbacks for entries. For example, require price above MA200, then buy when RSI dips below 40. This blends patience with opportunistic adds.
ETFs can still suffer from spreads during illiquid hours. Use limit orders, avoid the open if spreads widen, and set time windows for execution. Tracking fills over time helps you refine order settings.
If you want to expand beyond a single asset, see /portfolio-rebalancing and /automated-trading for broader workflows. You can also explore templates that manage multiple ETFs with shared risk limits. Start simple, then scale complexity only when results justify it.
Begin with a small percentage of your intended size and run the rule for a few weeks. Review triggers, fills and drawdowns, then adjust one parameter at a time. This approach builds confidence while keeping risk controlled.
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