Build rule-based automation with Coinrule for commodity-linked markets. Backtest, deploy and manage risk with clear triggers, stops and alerts.
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Instead of juggling spreadsheets and alerts, Commodities Trading Software on Coinrule turns your plan into if-this-then-that rules. Set triggers like price up 2 percent in 1 hour, buy 10 percent of allocated funds, then place a 1.5 percent stop. Run the same logic consistently and review every action in logs.
Traders often start with a simple signal and then add protection. The platform lets you combine indicators, time windows and position sizing so entries do not become oversized. You can cap exposure per asset, pause rules after a loss streak, and require confirmation like MA50 above MA200 before adding risk. Alerts keep you informed without forcing you to stare at charts.
Run automation across major venues such as Binance, Bybit, OKX and Kraken. API keys keep execution fast while you retain control of funds on the venue. If you prefer on-chain workflows, smart accounts and routed swaps can support systematic execution as well. One interface keeps strategies, risk limits and performance in a single place.
Risk-First Automation
Risk controls are not an afterthought. Add a hard stop like 2 percent below entry, then trail take profit by 1 percent once price is up 4 percent. You can enforce a cooldown, for example stop trading for 6 hours after two consecutive stop-outs. These guardrails help keep systematic trading systematic.
Template Library
Start from proven templates, then adjust thresholds, timeframes and sizing to match your market view. Clone a rule, change one variable, and compare results without rewriting everything. This makes iteration fast when volatility regimes change. See /templates to browse setups by style.
Volatility Breakout
Buys when price breaks above the prior 20-candle high and ATR expands. Adds a 2 percent stop and trails profit by 1 percent. Works well on 1H to 4H charts.
Grid Trading
Places staggered buys and sells inside a defined range with fixed spacing. Re-centers the grid if price moves 5 percent beyond the band. Designed for choppy, mean-reverting phases.
Stop Loss and Trailing Take Profit
Enters on a simple trigger, then sets a stop loss and a trailing take profit. Tightens the trail after price gains 3 percent. Keeps downside defined while letting winners run.
Donchian Channel Turtle
Buys on a 20-period Donchian breakout and exits on a 10-period breakdown. Uses sizing like 2 percent of allocated balance per entry. Best for trend phases on daily charts.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells when price returns to the middle band or RSI exceeds 55. Targets range-bound conditions on 4H candles.
Volatility Breakout
Buys when price breaks above the prior 20-candle high and ATR expands. Adds a 2 percent stop and trails profit by 1 percent. Works well on 1H to 4H charts.
Grid Trading
Places staggered buys and sells inside a defined range with fixed spacing. Re-centers the grid if price moves 5 percent beyond the band. Designed for choppy, mean-reverting phases.
Stop Loss and Trailing Take Profit
Enters on a simple trigger, then sets a stop loss and a trailing take profit. Tightens the trail after price gains 3 percent. Keeps downside defined while letting winners run.
Donchian Channel Turtle
Buys on a 20-period Donchian breakout and exits on a 10-period breakdown. Uses sizing like 2 percent of allocated balance per entry. Best for trend phases on daily charts.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells when price returns to the middle band or RSI exceeds 55. Targets range-bound conditions on 4H candles.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 20 percent above its 10-day average. Exits on the reverse cross or a 2 percent stop. Filters weak signals in low liquidity.
RSI Oversold Rebound
Buys when RSI drops below 30 and then crosses back above 32. Takes profit at plus 3 percent or when RSI exceeds 60. Simple rebound logic for fast pullbacks.
ATR Channel Breakout
Builds an ATR channel around a moving average and buys on an upper-band close. Exits if price closes back inside the channel. Adapts thresholds automatically as volatility changes.
Support and Resistance Bounce
Buys near a defined support zone after a rejection candle and sets a 1.8 percent stop. Sells at the next resistance level or after a 2.5 percent gain. Useful for structured ranges.
Portfolio Rebalance
Rebalances allocations back to targets on a schedule, such as every Friday. Adds a drift rule like rebalance only if an asset deviates by 4 percent or more. Helps control concentration over time.
Unlike one-size bots, Coinrule lets you express how commodity-linked markets actually move: trend bursts, mean reversion and event-driven spikes. You might require a breakout plus retest, such as close above resistance, then buy only if price revisits within 0.5 percent and holds for 30 minutes. Add a time stop to exit after 48 hours if the move stalls. This keeps trades aligned with your thesis, not with noise.
Before deploying, test your logic on historical data to see how it behaved in different regimes. Change one parameter at a time, like RSI 30 vs 35, and compare drawdown and hit rate. Once live, the system monitors conditions continuously and executes only when your rules match. You can pause, edit and relaunch without rebuilding from scratch.
Risk-managed execution matters as much as signals. Set order types, limit slippage with staged entries, and avoid overtrading with minimum time between orders. For example, buy 25 percent now, then the remaining 75 percent only if price drops another 1 percent within 2 hours. Add a max daily loss limit so all rules stop if the account is down 3 percent in a day. These controls help keep automation aligned with your risk plan.
After launching, you get a clean view of what fired, when, and why. Each action is tied to the condition that triggered it, so debugging is straightforward. Notifications can be tuned to only the events you care about, like stop hits or new positions. That transparency makes it easier to scale from one rule to a full playbook.
Launch BotFAQ
Lars H.
Priya K.
Diego R.
Sakura O.
Emma T.
Omar K.
Start with one market and one idea, then add complexity only after it behaves as expected. Define entry, define exit, then define what cancels the trade. Many users begin with a single condition like RSI below 35 on 4H candles and a fixed 2 percent stop. After a week of results, they add filters like trend direction or time-of-day limits. This approach keeps learning fast and mistakes small.
When conditions change, switch to defense instead of forcing trades. You can create a hedge rule that reduces exposure if volatility rises above a threshold or if price drops 6 percent in 24 hours. Another option is a risk-off mode that pauses all entries and only manages exits. These toggles help you respond without manual panic clicks.
Sizing is where many strategies fail. Use fixed fractions, caps per asset, and step-in logic so you do not go all-in on the first signal. For example, allocate 20 percent to a theme, then buy in four 5 percent tranches triggered every 1.5 percent drop. Combine that with a portfolio-level max drawdown rule to stop new entries. The result is a system that can survive rough patches.
Measure what matters: win rate, average win vs loss, and maximum drawdown. Coinrule keeps an audit trail of triggers and orders so you can spot which condition caused churn. If a filter removes too many trades, you will see it quickly. That feedback loop is what turns automation into an edge.
Rather than searching for a perfect bot, treat each rule as a versioned experiment. Clone, adjust one parameter, and run side by side with small size. Keep what improves stability and remove what adds noise. Over time you build a library of playbooks you can reuse across regimes.
Create a rule, connect a venue, and start with conservative limits. Once you trust the behavior, scale gradually and add more strategies. Coinrule is designed to keep execution consistent while you stay in control. Explore the builder and templates to get moving quickly.
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