Build rule-based automation for gold-linked markets with Coinrule. Run entries, exits, DCA and protection rules across Binance, OKX, Coinbase and Bybit.
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Instead of watching charts all day, a Gold trading bot on Coinrule can execute your plan the moment conditions hit. Set rules like buy 1% when price drops 3% in 6 hours, then take profit at 2.5% and trail by 1%. Connect to Binance, Coinbase, OKX or Bybit via API keys while keeping funds on the exchange.
Traders often express a gold view through XAU-linked tokens, stablecoin pairs or macro hedges that move with risk sentiment. The platform lets you define triggers from indicators like RSI, moving averages and Supertrend, then route orders to the venue you already use. You can schedule checks every 15 minutes to avoid overtrading during quiet sessions.
When volatility spikes, manual clicks turn into slippage and second-guessing. Coinrule runs the same logic every time, with logs that show which condition fired and why. For tighter discipline, add a time stop such as exit after 12 hours if price has not moved at least 0.8%.
Gold-Style Risk Guardrails
Risk controls include max position size, daily loss caps and per-trade stop rules. For example, cap exposure at 15% of portfolio, set a 2% stop, and pause rules if drawdown exceeds 6% in 24 hours. Alerts notify you before limits are hit so you can adjust calmly.
Multi-Exchange Execution
Run the same strategy across multiple venues or isolate it to one account for cleaner tracking. Coinrule helps you clone rules, change sizing and compare performance without rebuilding from scratch.
Buy the Dips
Buys after a 4% pullback from a 24h high with RSI below 40. Adds once more if price drops another 2%. Exits on a 3% rebound or a protective stop.
Grid Trading
Places a grid of buys and sells inside a defined range with fixed spacing. Captures mean reversion during sideways sessions. Stops the grid if price breaks out by 2%.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above MA200 on 4h candles. Takes profit when RSI exceeds 65. Uses a 1.5% stop to limit downside.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Adds only if volume confirms the move. Exits with a trailing take profit to ride trends.
Stop Loss and Trailing Take Profit
Opens on a simple signal, then manages risk automatically. Sets a fixed stop loss and activates a trailing take profit after 1.8% unrealized gain.
Buy the Dips
Buys after a 4% pullback from a 24h high with RSI below 40. Adds once more if price drops another 2%. Exits on a 3% rebound or a protective stop.
Grid Trading
Places a grid of buys and sells inside a defined range with fixed spacing. Captures mean reversion during sideways sessions. Stops the grid if price breaks out by 2%.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above MA200 on 4h candles. Takes profit when RSI exceeds 65. Uses a 1.5% stop to limit downside.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Adds only if volume confirms the move. Exits with a trailing take profit to ride trends.
Stop Loss and Trailing Take Profit
Opens on a simple signal, then manages risk automatically. Sets a fixed stop loss and activates a trailing take profit after 1.8% unrealized gain.
Supertrend Momentum
Enters when Supertrend flips bullish on 1h candles and price holds above it for two closes. Exits on the first bearish flip. Optional filter blocks trades during low ATR regimes.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 30. Sells near the middle band or upper band depending on strength. Adds a time stop after 8 hours.
ATR Channel Breakout
Trades breakouts beyond an ATR-based channel with sizing tied to volatility. Tightens stops as profit grows from 2% to 5%. Avoids entries when spread widens.
Dollar Index Filtered Trades
Only takes long signals when a DXY proxy is trending down and risk assets are stable. Uses a simple MA filter to confirm regime. Exits if the macro filter flips.
Gold-BTC Relative Strength
Rotates exposure based on relative strength between a gold proxy and BTC. Increases allocation to the stronger leg weekly. Rebalances when drift exceeds 3%.
Unlike one-off alerts, Coinrule turns your idea into a checklist the engine follows. Define the market, the signal, the order type and the risk rule, then test it with small sizing. Many users start with 0.5% per trade and scale only after 30-50 executions show stable behavior.
Try three concrete setups: (1) Buy when RSI(14) < 30 on 1h, sell when RSI > 55. (2) If price drops 5% in 4 hours, buy 2% of balance, then place a 2.2% stop. (3) When MA50 crosses above MA200 on 4h, enter and trail profit by 1% after a 3% move.
API connections let the system place orders on your behalf while you keep custody at the venue. Rotate execution across Kraken, KuCoin, Bitget or Hyperliquid depending on liquidity and fees. You can pause, edit or disable rules instantly without closing your exchange account.
Every run is logged with timestamps, conditions and order results. That makes it easier to spot if a filter is too strict or if sizing is too aggressive. Use the history to iterate instead of guessing.
Launch BotFAQ
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Sizing is where most strategies succeed or fail. Use fixed percent sizing for simplicity, or scale by volatility so risk stays similar across regimes. A common approach is risking 0.5% per trade with a 2% stop, but many traders go smaller.
Choppy sessions can whipsaw simple signals. Add an ADX or ATR filter, or require two closes above a level before entering. Enforce a 60-minute cooldown after any stop-out to prevent rapid re-entry.
If you prefer self-custody, Coinrule can execute on-chain using smart accounts and session keys with limited permissions. Orders route through Li.fi to find efficient liquidity across supported EVM networks. Keep the same rule logic while changing the execution venue.
When multiple rules run at once, portfolio limits matter more than any single entry. Set caps by asset, by quote currency and by total exposure. That way a cluster of signals cannot over-allocate during a fast move.
Make changes on a schedule, not after a bad trade. Review 20-30 executions, then adjust one parameter and measure again. Consistency turns experimentation into a process you can trust.
Create a rule, connect an exchange and start with conservative limits. Once you see clean execution and stable behavior, scale gradually and keep your risk controls intact.
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