Build auditable guardrails for smarter execution. Coinrule automates risk limits, stops and hedges across major crypto exchanges with clear logs and controls.
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Instead of trusting gut feel, AI risk management trading becomes practical when rules enforce limits before emotions do. On Coinrule you can cap exposure, automate stops and throttle entries when volatility spikes, while keeping control of your funds.
Traders often manage risk well on paper but fail in fast markets. This platform turns your playbook into if-then logic that runs 24/7 across Binance, Kraken, Bybit and Hyperliquid. Set max position size per asset, daily loss limits and cooldown timers after a stop-out. Require confirmations like MA trend alignment before any new entry triggers. Every action is recorded so you can review what happened and why.
For example, buy only if RSI drops below 30 on 1-hour candles and price is above MA200 on the 4-hour chart. Another rule can cut risk by selling 25% if price falls 3% from entry, then exit the rest at 6%. Pause new buys for 12 hours if portfolio drawdown exceeds 5% in a day. These constraints make backtests and forward tests easier to compare because behavior stays consistent.
Risk Limits And Kill Switches
Risk controls should be layered. Use a hard stop like -2.5% per trade, a trailing stop that tightens from 4% to 2% once profit exceeds 8%, and a time stop that exits after 48 hours if price goes nowhere. Add a portfolio kill switch that disables all bots if total exposure crosses 60% of available balance. This keeps single-strategy mistakes from becoming account-level problems.
Auditability By Design
Coinrule keeps a clear rule history, execution logs and notifications so you can audit decisions and refine parameters without guessing.
Stop Loss and Trailing Take Profit
Enters on a trigger, then sets a fixed stop and a trailing take profit. Example: stop at -2.5%, trail at 4% once up 6%. Built to cap downside and let winners run.
Volatility Regime Switcher
Switches between trend and mean reversion using ATR expansion. If ATR rises vs its 20-day average, it favors breakouts; otherwise it trades ranges. Helps avoid one playbook everywhere.
SPY/VIX Risk Sentinel
Uses a risk-on/risk-off filter from volatility proxies. When the signal flips, it reduces position size and tightens stops. Useful as a portfolio-level guardrail.
Deleveraging Crash Protector
Cuts exposure during fast stress moves. Example: if price drops 6% in 30 minutes, exit and pause entries for 6 hours. Designed for sudden volatility spikes.
Funding Rate Hedge
Adds a hedge when funding turns extreme. If funding stays above a threshold for 3 hours, it reduces directional exposure and waits for normalization. Aims to lower squeeze risk.
Stop Loss and Trailing Take Profit
Enters on a trigger, then sets a fixed stop and a trailing take profit. Example: stop at -2.5%, trail at 4% once up 6%. Built to cap downside and let winners run.
Volatility Regime Switcher
Switches between trend and mean reversion using ATR expansion. If ATR rises vs its 20-day average, it favors breakouts; otherwise it trades ranges. Helps avoid one playbook everywhere.
SPY/VIX Risk Sentinel
Uses a risk-on/risk-off filter from volatility proxies. When the signal flips, it reduces position size and tightens stops. Useful as a portfolio-level guardrail.
Deleveraging Crash Protector
Cuts exposure during fast stress moves. Example: if price drops 6% in 30 minutes, exit and pause entries for 6 hours. Designed for sudden volatility spikes.
Funding Rate Hedge
Adds a hedge when funding turns extreme. If funding stays above a threshold for 3 hours, it reduces directional exposure and waits for normalization. Aims to lower squeeze risk.
Risk Parity Allocator
Rebalances allocations using volatility as the sizing input. Higher-vol assets get smaller weights, lower-vol assets get larger weights. Runs on a schedule for steady risk budgeting.
ADX Trend Strength Filter
Trades only when ADX confirms a strong trend. Example: allow entries when ADX > 25 and price is above MA100. Helps avoid choppy periods where stops cluster.
Mean Reversion with Time Stop
Buys oversold moves but exits if the bounce does not arrive in time. Example: enter when Z-score < -2, exit at Z-score -0.5 or after 36 hours. Limits capital being stuck.
Portfolio Rebalance
Keeps target weights with tolerance bands. If an asset drifts 5% above target, it trims; if 5% below, it adds. Helps control concentration after big moves.
Volatility Targeted Trend
Adjusts position size to maintain a target volatility. When realized vol rises, it scales down; when vol falls, it scales up. Pairs well with trend signals for smoother risk.
Unlike one-size-fits-all bots, sizing rules can adapt to market conditions and account limits. Set a base order size like 2% of balance, then cut it to 1% if 24-hour volatility exceeds 6%. You can also cap total open risk by limiting concurrent positions to 5. These controls reduce the chance that correlated trades stack up at the worst time.
On this platform you can manage strategies across venues without losing track of exposure. Connect accounts on Coinbase, OKX and Bitget, then apply the same risk policy to each bot. Use per-exchange limits, like a max of 20% allocation on one venue, to reduce operational concentration. Alerts highlight when a rule is close to its threshold so you can intervene early.
Every bot has a security model you can understand. On centralized exchanges, Coinrule connects via API keys so funds stay on your account while rules place orders. For on-chain execution, smart accounts and session permissions can limit what a strategy is allowed to do. You can scope actions to specific tokens, size limits and time windows, then revoke access when you are done. This reduces the blast radius of mistakes and keeps control in your hands.
After launching, review logs like a lab notebook. If a stop triggers too often, widen it from 2% to 3% or add a trend filter. If slippage is high, switch to limit orders or reduce frequency. Small parameter changes are easier to evaluate when the rest of the system stays fixed.
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Rather than chasing the newest indicator, focus on rules you can justify. If you cannot explain why a stop is 2.5% instead of 5%, you will not trust it in live trading. Coinrule lets you document assumptions inside each strategy so reviews stay objective.
When markets move together, diversification can vanish. Use caps like no more than 15% combined exposure to highly correlated assets, and rebalance weekly. Add a hedge rule that reduces risk when volatility jumps. Simple constraints often beat complex predictions.
Templates cover market logic, but operations protect you from mistakes. Use per-bot max orders per day, minimum time between trades and notification thresholds. Keep a separate sandbox strategy for experiments. Treat production bots like software releases.
If you trade on-chain, limit permissions by design. Session keys can restrict spend, token lists and time windows, then expire automatically. Routing can seek better liquidity across pools to reduce execution friction. You keep self-custody while still automating.
Track metrics like average loss, max adverse excursion and time in trade. Compare performance before and after each rule change. If a filter reduces trades by 40% but improves net results, keep it. Data-driven iteration beats intuition.
Set your limits first, then add entries. Start with one template, connect an exchange and run small size for a week. Once behavior matches your policy, scale gradually. Coinrule is built for controlled automation, not blind leverage.
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