Design a rules-based gold strategy in Coinrule, then automate entries, exits, and risk controls across major venues with clear logs and real-time alerts.
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Instead of reacting to every candle, build a gold trading strategy in Coinrule that follows your plan exactly. Set triggers, position sizing, and exits once, then let the engine execute with consistent timing and full audit trails.
Traders often mix trend and mean-reversion signals without realizing it. Coinrule helps you separate regimes by encoding conditions like moving average direction, RSI zones, and volatility filters. You can run the same logic on spot, perps, or tokenized exposure depending on venue. Every rule is visible, editable, and versioned so you know what changed and why.
When volatility spikes, discipline matters more than prediction. Add hard stops, trailing take profit, max daily loss, and cooldown timers so the system does not overtrade. For example, you can cap exposure to 10% of account equity and pause new entries for 6 hours after three consecutive stop-outs. Alerts and logs make it easy to review execution and refine rules.
Signal Design
Set a breakout rule: if price closes above the 20-day high and ATR(14) is rising, buy 2% of balance, then trail a stop at 2.5x ATR. Or run a dip-buy rule: if RSI(14) drops below 30 on 4H candles, buy 1%, then exit when RSI returns above 55. For range days, fade extremes: sell when price touches the upper Bollinger Band and ADX(14) is below 18, then take profit at the mid-band.
Execution And Venues
Connect Coinrule to Binance, Coinbase, OKX, Bybit, or Hyperliquid to automate orders where you already trade. Your funds stay on the venue while Coinrule sends rule-based instructions via API keys, with permissions you control.
Buy the Dips
Buys after a pullback of 3-5% from a recent swing high with RSI below 40. Adds only if price stabilizes above a short MA. Exits on a rebound to prior resistance or a trailing stop.
Grid Trading
Places a grid of buy and sell orders inside a defined range. Profits from oscillations by re-centering the grid when price drifts. Uses a max position cap to avoid runaway exposure.
Volatility Breakout
Enters when price breaks a range and ATR expands versus its 20-period average. Confirms with a close above the breakout level. Exits with a trailing stop and a time stop if momentum fades.
Bollinger Band Mean Reversion
Buys near the lower band when price is stretched and volatility is elevated. Sells at the mid-band or upper band depending on strength. Adds a stop if price closes outside the band twice.
Supertrend Momentum
Goes long when Supertrend flips bullish and price holds above it for two candles. Scales out at 1R and trails the rest using Supertrend. Avoids entries when ADX is below a set threshold.
Buy the Dips
Buys after a pullback of 3-5% from a recent swing high with RSI below 40. Adds only if price stabilizes above a short MA. Exits on a rebound to prior resistance or a trailing stop.
Grid Trading
Places a grid of buy and sell orders inside a defined range. Profits from oscillations by re-centering the grid when price drifts. Uses a max position cap to avoid runaway exposure.
Volatility Breakout
Enters when price breaks a range and ATR expands versus its 20-period average. Confirms with a close above the breakout level. Exits with a trailing stop and a time stop if momentum fades.
Bollinger Band Mean Reversion
Buys near the lower band when price is stretched and volatility is elevated. Sells at the mid-band or upper band depending on strength. Adds a stop if price closes outside the band twice.
Supertrend Momentum
Goes long when Supertrend flips bullish and price holds above it for two candles. Scales out at 1R and trails the rest using Supertrend. Avoids entries when ADX is below a set threshold.
MA Crossover with Volume Filter
Enters on a fast/slow MA crossover only when volume is above its 20-period average. Exits on the opposite cross or a fixed stop. Helps reduce whipsaws in low-liquidity periods.
Support and Resistance Bounce
Buys near a defined support zone after a rejection wick and a higher low. Takes profit at the next resistance level and trails if it breaks. Uses a tight invalidation stop below support.
ATR Channel Breakout
Builds an ATR channel around a moving average and enters on a close outside the channel. Targets a multiple of ATR for take profit and trails once in profit. Adds a cooldown to prevent rapid re-entries.
RSI Divergence Hunter
Looks for bullish divergence: price makes a lower low while RSI makes a higher low. Enters on confirmation with a break of a minor trendline. Exits at prior swing highs or on RSI failure.
Stop Loss and Trailing Take Profit
Adds a fixed stop loss at entry and activates a trailing take profit after price moves 1.5R. Locks gains as the move extends while limiting downside. Works as a risk layer on many templates.
Unlike manual journaling, Coinrule lets you validate assumptions quickly with structured testing. Try multiple timeframes, then compare drawdown, win rate, and average R per trade. Adjust one variable at a time, like RSI 30 vs 35, or a 1.5x vs 2.5x ATR stop. Keep the best version and archive the rest for later.
Every bot needs sizing rules that match your risk tolerance. You can size by fixed amount, percent of balance, or step-based scaling after confirmations. A practical setup is risking 0.5% per trade with a 2% stop, which implies a 25% position size, then reducing size when volatility rises. These guardrails help keep a bad streak from becoming a portfolio event.
Once entries work, automate exits and maintenance. Add partial profit-taking at 1R and 2R, then trail the remainder to capture extended moves. Use time stops, for example closing any open position after 48 hours if price has not reached 0.8R. Schedule rules to avoid thin liquidity windows and to pause during major macro releases if you prefer.
Rules run fast, but oversight stays simple. Real-time notifications tell you when a condition triggers, an order fills, or a stop updates. Detailed logs show the exact indicator values that caused each action. That makes post-trade reviews objective, not emotional.
Start BotFAQ
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Avoid stacking too many indicators that all measure the same thing. Do not optimize parameters to one month of data, then expect it to hold. Keep slippage and fees in mind, especially on fast breakouts. Most importantly, do not remove stops because a trade feels certain.
Coinrule does not take custody of your funds. On centralized venues, you connect using API keys with the permissions you choose. For on-chain automation, smart accounts and session keys can limit scope and duration. This design keeps control with you while still enabling systematic execution.
If you prefer decentralized liquidity, you can automate on-chain actions using smart accounts. Routing can seek efficient pools across supported networks, and you can set strict token allowlists. This is useful when you want transparency and composability alongside automation.
Save versions as you iterate so you can roll back quickly. Tag rules by regime, timeframe, and risk profile. Over time you get a personal playbook: breakout, range, and defensive modes. That makes switching conditions faster than rebuilding from scratch.
Once one rule is stable, add a second that behaves differently. Combine a trend follower with a mean-reversion bot, then cap total exposure across both. Use portfolio-level alerts for drawdown and correlation spikes. The goal is a system that survives different market phases.
Start simple, define risk first, and let the automation do the repetitive work. Use templates as a baseline, then customize with your own levels and filters. Review results weekly, not hourly, and keep changes deliberate. When you are ready, go live with small size and scale gradually.
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