Automate gold ETF entries, exits and rebalancing with Coinrule. Build no-code rules, manage risk and execute consistently through supported brokers.
410k+
users building rules
1M+
strategies executed
10+
Brokers Supported
Instead of reacting to headlines, Gold ETF trading can run on conditions you define in Coinrule. For example, buy when price drops 3% from the 20-day high, then exit when RSI(14) rises above 65. Add guardrails like a 1.5% stop loss and a trailing take profit that tightens after a 4% move. Connect brokers such as Tradier, WeBull, Charles Schwab and Alpaca, and let rules execute consistently.
Traders use indicators, price levels and schedules to translate a thesis into repeatable execution. Combine triggers like MA(50) crossing above MA(200) with a volume filter, then place a limit order at the next session open. Logs and rule testing help you refine logic before going live. This keeps decisions separate from moment-to-moment noise.
Every strategy needs a plan for when the market disagrees. Use position sizing like 2% of account per entry, a daily loss cap and a cooldown timer after a stop is hit. Set portfolio limits so one theme never exceeds 15% of total equity exposure. These controls make automation feel disciplined rather than reckless.
ETF Execution, Simplified
Coinrule is non-custodial, so your funds stay at your broker while rules send orders through secure connections. Pause, clone or schedule strategies, and review what triggered each trade. For a hands-off approach, run a weekly rebalance rule that nudges allocations back to target bands. For active management, use intraday alerts and conditional orders.
Templates You Can Customize
Start from templates, then adapt them to your timeframe and risk. Change an RSI threshold from 30 to 35, or switch from market to limit orders to reduce slippage. Run multiple rule sets side by side and compare behavior in one dashboard. The goal is fast iteration with clear accountability.
Buy the Dips
Buys after a 2.5% pullback from a 10-day high with RSI(14) below 40. Exits on a 3% rebound or RSI above 60. Adds a 1.2% stop loss.
Grid Trading
Places staggered buys and sells inside a defined range, such as 6% wide with 1% steps. Cancels the grid if price breaks out by 2%. Suits sideways markets.
Optimised RSI and MA Strategy
Enters when RSI(14) crosses above 35 while price is above MA(100). Takes profit when RSI exceeds 65 and trails by 1%. Uses a time stop after 10 sessions.
Volatility Breakout
Buys when price closes above the prior 20-day high and ATR(14) expands by 15%. Exits on a close back below MA(20). Uses a 1.8% protective stop.
DCA Accumulator
Splits a monthly budget into weekly buys and increases size by 50% when price is 4% below MA(50). Pauses when RSI is above 70. Built for steady accumulation.
Buy the Dips
Buys after a 2.5% pullback from a 10-day high with RSI(14) below 40. Exits on a 3% rebound or RSI above 60. Adds a 1.2% stop loss.
Grid Trading
Places staggered buys and sells inside a defined range, such as 6% wide with 1% steps. Cancels the grid if price breaks out by 2%. Suits sideways markets.
Optimised RSI and MA Strategy
Enters when RSI(14) crosses above 35 while price is above MA(100). Takes profit when RSI exceeds 65 and trails by 1%. Uses a time stop after 10 sessions.
Volatility Breakout
Buys when price closes above the prior 20-day high and ATR(14) expands by 15%. Exits on a close back below MA(20). Uses a 1.8% protective stop.
DCA Accumulator
Splits a monthly budget into weekly buys and increases size by 50% when price is 4% below MA(50). Pauses when RSI is above 70. Built for steady accumulation.
Stop Loss and Trailing Take Profit
Sets an initial stop at 1.5% and activates a trailing take profit after a 2% gain. Tightens the trail from 1.2% to 0.7% once profit exceeds 5%. Keeps risk defined.
MA Crossover with Volume Filter
Buys when MA(20) crosses above MA(50) and volume is 20% above its 10-day average. Sells on the reverse cross or a 2% stop. Filters weak signals.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band (20, 2) with RSI under 45. Exits at the middle band or after 7 sessions. Adds a 1.3% stop.
Support and Resistance Bounce
Enters near a defined support zone after a rejection candle and a 0.8% bounce. Takes profit at the next resistance level. Cancels if support breaks by 1%.
Portfolio Rebalance
Rebalances to target weights weekly with a 2% drift threshold. Sells overweight positions first, then tops up underweights. Helps keep exposure consistent over time.
Unlike discretionary trading, you can document a full process: signal, entry, risk and exit. For example, buy when price is above MA(200) and RSI(14) dips below 38, then sell half at +3% and trail the rest by 1%. Add a session filter so orders only fire during regular market hours. This turns a thesis into a checklist the platform can execute.
Connect the same rule logic to the venue you already use, then manage everything from one interface. Many traders run one account for long-term allocation and another for tactical entries. With separate strategies, you can keep those objectives from interfering with each other. Execution stays consistent even when you are away from the screen.
After you launch, review triggers and fills to see what happened, not what you remember. If a rule fires too often, widen thresholds or add a cooldown like 24 hours after an entry. If exits feel late, switch from daily to 4-hour signals or add a partial take profit. Small changes compound when applied systematically. The audit trail makes improvements straightforward.
When CPI, rates or geopolitical news hits, spreads and volatility can jump. Use an ATR(14) filter to cut position size by 50%, or pause new entries for 2 hours after a large gap. Set a max trades per day limit to avoid churn. These controls help you stay intentional during fast markets.
Launch BotFAQ
Sofia G.
Michael R.
Lars H.
Priya K.
Diego R.
Yuki T.
Set notifications for drawdown, missed fills or unusual volatility so you can intervene quickly. An alert for a 1% opening gap can prevent chasing a bad entry. Alerts complement automation, not oversight.
One rule set can focus on long-term allocation while another handles tactical swings. Separating them avoids conflicting orders and makes performance easier to evaluate. Clarity beats complexity.
Rules run the same way on good days and bad days. That consistency makes it easier to measure whether an idea works. If it does not, change one variable at a time.
Many signals behave differently at the open than midday. Use time windows to avoid the first 15 minutes, or only allow entries on daily closes. Schedule weekly checks for slower strategies.
Automation works best when the thesis is explicit. Write down what justifies an entry and what invalidates it. Then encode those rules so the system enforces your discipline.
Start with one template, define risk first and let the engine handle execution while you focus on research and review. When you are comfortable, expand into rebalancing and multi-strategy setups. Coinrule is designed to scale with your process.
Get Started
