Build rule-based guardrails with crypto risk controls on Coinrule. Automate stops, hedges and exposure limits across spot, perps and on-chain execution.
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Instead of relying on willpower, Crypto risk tools on Coinrule let you encode guardrails that execute automatically. For example, if BTC drops 4% in 2 hours, reduce exposure by selling 25% and pause new entries.
Traders often start with alerts, then miss the moment to act. Coinrule turns signals into actions with rule-based execution, so stops, take profits and hedges trigger even when you are offline. Test logic in demo, then go live once it matches your plan.
When you trade across venues, risk can hide in the gaps. The platform supports centralized exchanges and perpetuals, plus on-chain execution via smart accounts on Base, Arbitrum and Binance Smart Chain. Route swaps via Li.fi while keeping permissions limited with smart sessions.
Exposure Limits
Set portfolio rules like: if any single asset exceeds 18% of total value, rebalance back to 12% using market or limit orders. Add a second condition to avoid rebalancing during extreme volatility, such as when 1-hour ATR rises above a threshold.
Downside Automation
Every strategy can inherit global safety switches: max daily loss, max open positions and a kill switch that pauses all bots. Add confirmations, like only buying dips when trend filters agree, to avoid catching falling knives.
Stop Loss and Trailing Take Profit
Sets a fixed stop, then trails profit once price moves +3%. Trail by 1.5% after a 6% gain. Built to cut downside while letting winners run.
Deleveraging Crash Protector
Detects sharp drawdowns and reduces exposure fast. If price drops 7% in 30 minutes, close 50% and pause entries for 2 hours. Useful during liquidation cascades.
Funding Rate Hedge
Adds a hedge when funding turns expensive. If funding > 0.05% and trend weakens, reduce longs or open a small counter position. Helps control carry costs on perps.
Volatility Regime Switcher
Switches behavior based on volatility. If ATR rises above its 20-period average, tighten stops and reduce order size. In calmer regimes, allow wider targets.
Portfolio Rebalance
Rebalances to target weights on a schedule or threshold. Rebalance weekly or when any allocation drifts 4% from target. Helps keep risk aligned to your plan.
Stop Loss and Trailing Take Profit
Sets a fixed stop, then trails profit once price moves +3%. Trail by 1.5% after a 6% gain. Built to cut downside while letting winners run.
Deleveraging Crash Protector
Detects sharp drawdowns and reduces exposure fast. If price drops 7% in 30 minutes, close 50% and pause entries for 2 hours. Useful during liquidation cascades.
Funding Rate Hedge
Adds a hedge when funding turns expensive. If funding > 0.05% and trend weakens, reduce longs or open a small counter position. Helps control carry costs on perps.
Volatility Regime Switcher
Switches behavior based on volatility. If ATR rises above its 20-period average, tighten stops and reduce order size. In calmer regimes, allow wider targets.
Portfolio Rebalance
Rebalances to target weights on a schedule or threshold. Rebalance weekly or when any allocation drifts 4% from target. Helps keep risk aligned to your plan.
Minimum Variance Rebalance
Tilts toward lower-vol holdings when correlations rise. If 30-day vol spikes, shift 10% from high beta alts into BTC or stable exposure. Built for smoother equity curves.
Volatility Targeted Trend
Follows trend while targeting a volatility band. Increase size when vol falls, cut size when vol rises. Uses trend confirmation to avoid chop.
Stablecoin Flow Risk Filter
Uses stablecoin flow as a risk-on or risk-off filter. If stablecoin dominance rises and price breaks support, pause dip buys. Helps avoid buying into risk-off phases.
SPY/VIX Risk Sentinel
Adds a macro risk filter to crypto rules. If VIX spikes above a level, reduce new entries and tighten stops. Useful when cross-asset stress hits liquidity.
Risk Parity Allocator
Balances allocations by risk contribution instead of dollars. Lower weight to high-vol assets and raise weight to lower-vol ones. Rebalances monthly or on drift.
Risk controls include fixed stops, trailing stops and time stops that prevent slow bleed. You might set: exit if price falls 2.5% from entry, or if it fails to recover within 36 hours. Add a volatility clause so the stop widens from 2.5% to 4% when ATR expands, reducing noise exits.
Rather than guessing size, define it. With Crypto risk tools, you can risk 0.75% of account per trade, set a 3% stop, and let the system compute position size. Cap total exposure too, like never exceeding 60% deployed across all bots.
When volatility spikes, speed matters. The engine can pause entries when funding turns extreme, when price breaks a key moving average, or when a drawdown threshold is hit. For instance, if ETH closes below MA200 on the 4-hour chart, close longs and wait for a reclaim before re-entering.
After a move, you need to know what happened and why. Coinrule logs triggers, conditions and orders so you can review behavior like a checklist. That makes it easier to refine rules without changing your whole approach.
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Start by writing your risk rules in plain language, then translate them into conditions and actions. Keep it simple: one entry rule, one exit rule and one safety rule. Once it behaves as expected, clone it and change only one variable at a time.
Templates give you a tested structure for stops, trailing exits and rebalancing. Treat them as a baseline, then tune thresholds to your timeframe and volatility. A small change, like moving RSI from 30 to 35, can materially change trade frequency.
Single indicators can be noisy. Pair a momentum trigger with a trend filter, such as RSI below 30 only when price is above MA200, to avoid fighting the broader move. Add time windows so rules do not fire repeatedly in chop.
For decentralized execution, use smart sessions to limit what a strategy can do. Restrict spend limits, token lists and time ranges, then revoke access when you are done. This keeps automation aligned with least-privilege principles.
Track drawdowns, average loss and exposure over time, then adjust rules based on evidence. If a strategy loses most during high-vol hours, add a volatility filter or reduce size. Consistency comes from measurement and iteration.
Build your first set of guardrails, connect an exchange, and run small size until behavior matches expectations. When you are ready, scale with portfolio limits and global safety switches across all bots.
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