Use Gold price AI insights to trigger Coinrule rules. Automate entries, exits and hedges with clear conditions, alerts and risk limits across major venues.
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Instead of reacting to headlines, you can translate Gold price AI outputs into simple if-this-then-that automation on Coinrule. For example, if your signal flips bullish and price breaks 1.0% above the 20-day high, buy a small risk unit and set a 2.5% stop.
Traders often treat gold as a macro barometer, so the system is designed for clear triggers and guardrails. Combine trend filters like moving averages with volatility checks so you do not enter during noisy spikes. Add time windows, such as only acting during the London-New York overlap, and require confirmation like RSI crossing above 50 before adding exposure.
On Coinrule you can run the same logic across venues without rewriting your process. Connect to Binance, Kraken, Bybit, OKX or Coinbase and keep one dashboard for alerts, positions and risk. Your funds stay on the exchange while the engine uses API keys for rule-based execution.
Signal To Rule Mapping
Treat any model output as an input, then define what must be true before an order fires. Example: only buy after a bullish score persists for 3 candles and ATR drops below its 14-day average. Add a second rule that takes profit in two steps, such as 50% at +3% and the rest with a trailing stop.
Risk First Automation
Set portfolio caps, per-trade risk limits and cooldown timers so one bad regime does not cascade. If drawdown hits 6% in a week, pause related rules and send an alert. This keeps experimentation structured while you iterate.
Volatility Breakout
Enters when price breaks above a recent range and ATR expands. Adds a stop below the breakout level. Exits on a trailing take profit to ride momentum.
Moving Average Scalper
Trades short timeframes using fast and slow MAs for direction. Buys on cross with a tight stop and quick take profit. Best for liquid, trending sessions.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is oversold. Sells when price returns to the mid band. Uses a time stop to avoid dead trades.
Stop Loss and Trailing Take Profit
Adds a fixed stop immediately after entry to cap downside. Switches to a trailing take profit after a +2% move. Helps protect gains during fast reversals.
Donchian Channel Turtle
Buys on a 20-period channel breakout and sells on a 10-period breakdown. Uses position sizing rules to limit risk. Designed for sustained trends.
Volatility Breakout
Enters when price breaks above a recent range and ATR expands. Adds a stop below the breakout level. Exits on a trailing take profit to ride momentum.
Moving Average Scalper
Trades short timeframes using fast and slow MAs for direction. Buys on cross with a tight stop and quick take profit. Best for liquid, trending sessions.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is oversold. Sells when price returns to the mid band. Uses a time stop to avoid dead trades.
Stop Loss and Trailing Take Profit
Adds a fixed stop immediately after entry to cap downside. Switches to a trailing take profit after a +2% move. Helps protect gains during fast reversals.
Donchian Channel Turtle
Buys on a 20-period channel breakout and sells on a 10-period breakdown. Uses position sizing rules to limit risk. Designed for sustained trends.
RSI Divergence Hunter
Looks for bullish divergence with RSI making higher lows while price makes lower lows. Enters on a confirmation close. Exits at prior resistance or when RSI rises above 60.
Dynamic Grid with ATR Spacing
Places a grid with spacing based on ATR so it adapts to volatility. Buys lower levels and sells higher levels automatically. Includes a range reset when price escapes.
Support and Resistance Bounce
Buys near a defined support zone after a rejection wick. Sells into resistance or on a momentum fade. Adds a stop just below the support level.
Kalman Filter Trend
Uses a smoothed trend estimate to reduce noise and whipsaws. Enters when price stays above the filter for multiple candles. Exits on the first close back below.
Portfolio Rebalance
Rebalances allocations on a schedule, such as weekly. Sells overweight positions and buys underweight ones. Keeps risk aligned during changing regimes.
Unlike a black-box bot, Coinrule keeps every decision explicit so you can adapt when the market changes. You might require two confirmations before entry, such as MA50 above MA200 and ADX above 20, then size at 1% of equity. If volatility spikes, tighten risk by moving stops from 3% to 1.5% once profit exceeds 4%. Add a no-trade filter around major data releases by pausing rules for 60 minutes. These controls help you test ideas without overfitting to one week of performance.
Start with a paper-style workflow: define the trigger, define the exit, and define the maximum loss. Run a small live allocation and review the trade log weekly to see where slippage or false signals appear. When results look stable, scale gradually and keep the same rules so you can attribute changes to market conditions, not constant tinkering.
Set real-time notifications for rule triggers, stop hits and exposure limits. If a position opens outside your preferred hours, you can pause the rule and investigate. Alerts keep you in control without staring at charts all day.
Coinrule is non-custodial. You trade from your own exchange account, and the platform only gets the permissions you grant via API keys. You can revoke access at any time.
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Templates make it easy to begin with a conservative baseline. Many users start with a trend filter plus a single entry trigger, then add layered exits. Keeping the first version simple makes it easier to evaluate.
Use limit orders when spreads widen and market orders when speed matters. Add cooldowns so a rule cannot re-enter for 30 minutes after an exit. These small settings often improve real-world results more than new indicators.
You can create a defensive rule that reduces exposure when volatility rises. Example: if ATR jumps 25% above its 20-day average, cut position size by half and tighten stops. This keeps risk proportional to conditions.
Treat strategy updates like software releases. Change one variable at a time, record why you changed it, and compare outcomes over at least 20 trades. This prevents random tweaks from masking what actually works.
If you want a deeper overview of rule design, see /learn and /indicators. You will find examples for RSI, moving averages, breakouts and position sizing. Use them as components in your own playbook.
Build a small set of rules, run them with tight limits, and expand only after you trust the process. Coinrule gives you the controls to automate with transparency and discipline across connected exchanges.
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