Automate SLV entries, exits and risk rules with Coinrule. Trade systematically via WeBull, Alpaca, TradeStation, Tradier or Robinhood in minutes.
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Instead of reacting to headlines, Silver ETF trading can run on clear rules you set in Coinrule. For example, buy SLV if it drops 3% in 24 hours, then place a 2% stop loss and a 4% take profit. Connect your broker and let the engine execute consistently while you review results.
Traders use Coinrule to translate a thesis into if-this-then-that logic without writing code. Combine price triggers, indicators and time filters, then test variations before going live. The interface keeps rules readable, so you can audit why an order fired and refine it over time.
On this platform you can run the same strategy across accounts at Tradier, Charles Schwab, Trading212, E-TRADE or Tastytrade. Every action is logged with timestamps, conditions and order details for clean review. Add allocation caps so one idea cannot dominate your portfolio.
ETF Automation Without Coding
Templates cover dip buys, breakouts and rebalancing so you start from a proven structure. Change the ticker, timeframe and risk limits, then paper test first. When results look stable, switch to live execution with the same rules.
Risk Controls Built In
Risk tools include stop loss, trailing take profit, time stops and max position sizing. Add a cooldown, for example no new entries for 6 hours after a stop out. These guardrails help keep execution consistent when volatility spikes.
Buy the Dips
Buys after a 3% pullback from the 24-hour high and confirms with RSI below 40 on 4-hour candles. Exits on a 4% rebound or a 2% stop loss.
Grid Trading
Places staggered buys and sells inside a defined range, such as 2% steps across a 12% band. Re-centers the grid if price closes outside the range for two sessions.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above the 200-day moving average. Exits when RSI exceeds 65 or when price closes below the 200-day MA.
Volatility Breakout
Buys when price breaks the prior 20-day high and ATR expands by 15% versus its 10-day average. Uses a trailing take profit that tightens from 4% to 2% after a 6% gain.
Stop Loss and Trailing Take Profit
Opens on your chosen signal, then manages risk automatically. Sets a fixed 2% stop and a 3% trailing take profit once the trade is up 2%.
Buy the Dips
Buys after a 3% pullback from the 24-hour high and confirms with RSI below 40 on 4-hour candles. Exits on a 4% rebound or a 2% stop loss.
Grid Trading
Places staggered buys and sells inside a defined range, such as 2% steps across a 12% band. Re-centers the grid if price closes outside the range for two sessions.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above the 200-day moving average. Exits when RSI exceeds 65 or when price closes below the 200-day MA.
Volatility Breakout
Buys when price breaks the prior 20-day high and ATR expands by 15% versus its 10-day average. Uses a trailing take profit that tightens from 4% to 2% after a 6% gain.
Stop Loss and Trailing Take Profit
Opens on your chosen signal, then manages risk automatically. Sets a fixed 2% stop and a 3% trailing take profit once the trade is up 2%.
MA Crossover with Volume Filter
Buys when the 20-day MA crosses above the 50-day MA and volume is 20% above its 20-day average. Sells on the reverse cross or at a 5% profit target.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on 4-hour candles and RSI is under 35. Exits at the middle band or after a 48-hour time stop.
Support and Resistance Bounce
Marks a support zone and buys on a bounce after two failed breakdown attempts. Places a stop 1.5% below support and takes profit near the next resistance level.
Opening Range Breakout
Defines the first 30 minutes as the opening range and enters on a break with a 0.5% buffer. Exits on a close back inside the range or at a 2R target.
Portfolio Rebalance
Rebalances back to target weights on a schedule, such as weekly or month-end. Adds a drift rule, for example rebalance only if allocation deviates by more than 3%.
Unlike discretionary clicking, the rule builder lets you define exactly what must happen before you act. For example, buy 10% of your intended size when price drops 2%, add the next 10% if it drops 4%, and stop adding if RSI rises above 55. You can also require trend confirmation, such as only taking long signals when the 200-day MA slopes upward. Once the logic is set, Coinrule executes it the same way every time and records each decision for review.
Users set real-time notifications for fills, drawdowns and rule triggers so they can supervise calmly. Create an alert if a position falls 1.5% in an hour, or if a breakout signal appears near the close. This keeps you informed while the system handles routine execution.
Before risking capital, test your logic on historical data and run it in demo mode. Compare two variants, like RSI 30 vs RSI 35, or a 2% vs 3% stop. When you are satisfied, flip the same strategy to live with one change: the execution venue.
Coinrule works with popular ETF brokers so you can keep your existing workflow. Link accounts, choose the ticker, and set order types and sizing rules. Review permissions and revoke access at any time.
Build StrategyFAQ
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Yuki T.
Michael R.
Risk starts with sizing, not signals. Set rules like risk 0.5% of account per trade, cap total exposure at 15%, and cut size in half after two consecutive losses. These constraints help a strategy survive different regimes.
ETFs can gap on macro news, so plan for it. Use limit orders with a small buffer, or require confirmation like two closes above a breakout level before entering. Add a time stop so stale trades exit after 5 sessions if momentum never arrives.
A strong workflow keeps signals and risk management modular. One rule can detect a setup, while another handles stops, profit taking and re-entry cooldowns. Optimization gets easier when you change one component at a time.
After a week, export results and look for patterns: which triggers fire most, where slippage appears, and how often stops hit. Then adjust one variable, such as widening the stop from 2% to 2.5%, and retest. Small, controlled changes beat constant reinvention.
DCA fits gradual accumulation when you want exposure without perfect timing. Breakout rules fit momentum phases when price is trending and volatility expands. Many users run both with separate caps so they do not overlap unintentionally.
Begin with a single template, paper trade it, and add complexity only after you understand behavior. Once stable, clone it for related tickers, add portfolio limits, and schedule rebalances. Coinrule is built for that progression from simple to systematic.
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