Automate tokenized commodity exposure with Coinrule using rule-based entries, exits and rebalancing across Binance, OKX, Kraken and Bybit.
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Instead of manually tracking pegs and spreads, Coinrule helps you automate Crypto backed commodities with clear, testable rules. Connect Binance, Kraken or Coinbase via API keys and keep funds on the venue. Set entries, exits and alerts, then let the engine execute consistently.
These tokens aim to mirror real-world commodities like gold or oil through reserves, collateral, or structured issuance. Prices can still deviate due to liquidity, fees and market stress. Use systematic execution and guardrails to manage those realities.
Templates give you a starting point, then you customize conditions to match your thesis and time horizon. Run spot rules, add a hedge on perps, or rebalance a basket when allocations drift. Logs and notifications make it easy to review what happened and why.
Peg and spread monitoring
Set a rule like: if the token trades 1.2% below its 24h VWAP and volume is up 30%, buy 1% of balance, then take profit at +1.0%. Add a second rule that pauses buys if the deviation exceeds 3% in 1 hour. This keeps entries disciplined when liquidity thins.
Hedges and rebalancing
Use perps on Hyperliquid or Bybit to hedge directional beta while keeping the commodity proxy position intact. Rebalance weekly, for example restoring a 60/40 split between a gold token and USDC when drift exceeds 5%.
Portfolio Rebalance
Rebalances weekly and trades only when drift exceeds 5%. Adds a stop rule if 24h volatility rises above your threshold. Built for steady exposure management.
DCA Accumulator
Splits a fixed budget into daily or weekly buys to smooth entries. Example: buy $100 every Monday, then pause if price is 8% above the 30-day MA. Useful for long-term positioning.
Stop Loss and Trailing Take Profit
Sets a hard stop, then trails profit once price moves in your favor. Example: stop at -3%, trail 2% after a +4% move. Helps cap downside while letting winners run.
Bollinger Band Mean Reversion
Buys when price closes below the lower band on 4h candles and RSI is under 40. Sells when price returns to the middle band. Designed for range conditions and controlled entries.
Volatility Breakout
Enters when price breaks a recent range and ATR expands above its 14-period average. Exits on a close back inside the range or a time stop. Targets momentum bursts after compression.
Portfolio Rebalance
Rebalances weekly and trades only when drift exceeds 5%. Adds a stop rule if 24h volatility rises above your threshold. Built for steady exposure management.
DCA Accumulator
Splits a fixed budget into daily or weekly buys to smooth entries. Example: buy $100 every Monday, then pause if price is 8% above the 30-day MA. Useful for long-term positioning.
Stop Loss and Trailing Take Profit
Sets a hard stop, then trails profit once price moves in your favor. Example: stop at -3%, trail 2% after a +4% move. Helps cap downside while letting winners run.
Bollinger Band Mean Reversion
Buys when price closes below the lower band on 4h candles and RSI is under 40. Sells when price returns to the middle band. Designed for range conditions and controlled entries.
Volatility Breakout
Enters when price breaks a recent range and ATR expands above its 14-period average. Exits on a close back inside the range or a time stop. Targets momentum bursts after compression.
Funding Rate Hedge
Adds a hedge when funding turns expensive and removes it when funding normalizes. Example: hedge when funding > 0.03% per 8h, unwind below 0.01%. Aims to reduce carry drag in perps.
VWAP Reversion Scalper
Trades back to VWAP after sharp dislocations on 15m to 1h charts. Enters when price is 0.8% away from VWAP with weakening momentum. Exits at VWAP or on a tight stop.
Support and Resistance Bounce
Buys near a defined support zone and sells into resistance with confirmation. Example: enter within 0.5% of support if RSI rises above 35. Stops out if support breaks by 1%.
Supertrend Momentum
Follows trend direction using Supertrend on 4h candles. Enters on a flip to bullish and exits on the next bearish flip. Adds a filter to avoid low-volume periods.
Dynamic Grid with ATR Spacing
Runs a grid where spacing adapts to ATR so orders widen in volatile markets. Takes partial profits at each grid step and resets when price leaves the range. Built for choppy conditions.
When liquidity thins, small orders can move price fast. Cap position size, limit daily order count and enforce cool-downs between trades. For example, stop new entries after three losses in 24 hours, or tighten stops from 4% to 2% once unrealized profit exceeds 6%.
Route the same rule set across multiple exchanges to reduce single-venue risk. If you trade on OKX, KuCoin and Kraken, you can compare fills and keep execution consistent. Centralized monitoring means fewer tabs and faster reactions.
Crypto backed commodities can sit alongside stablecoins and majors in a rules-based allocation. Set a monthly rebalance that triggers only if any asset drifts more than 7% from target weights. Add a drawdown rule that converts profits to USDC when equity falls 5% from the monthly high. This turns a narrative trade into a managed process.
Start with a template, then add filters like RSI, moving averages, volume and time windows. Schedule rules to run only during high-liquidity hours or pause on weekends. For more building blocks, see /automated-trading.
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After you pick a token and venue, start simple and measurable. Example one: buy 0.5% of balance when RSI(14) drops below 30 on 1h candles, then sell when RSI rises above 55. Example two: if price falls 5% from the 7-day high, place three buys at 2%, 3.5% and 5%. Example three: if spread to a reference price exceeds 1.5%, pause trading and alert.
Position sizing is where many strategies break. Set max allocation per asset, max daily loss and a minimum time between orders. For a conservative profile, cap each entry to 0.25% of equity and require two signals to align before buying.
Alerts are not just notifications, they are workflow. Trigger messages when a stop hits, when a rule pauses, or when volatility jumps above a threshold. You stay informed without constant chart watching.
If you trade on-chain, the system can execute through smart accounts with session permissions. Routing can optimize liquidity across pools while you keep self-custody. This fits traders who want transparent settlement and programmable controls.
Treat every rule like a small system: define inputs, triggers and exits. Review performance weekly and change one variable at a time. That discipline makes results easier to interpret and improves repeatability.
Test your logic in a demo environment, then connect an exchange and trade small size first. Once behavior matches expectations, scale gradually and keep risk limits in place. Coinrule is built to make that progression straightforward.
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