Design macro strategies in Coinrule with rule-based automation, cross-asset signals and risk controls. Deploy across Binance, Kraken, Bybit and Hyperliquid.
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Instead of reacting to headlines, Coinrule helps you translate Macro trading strategies into clear if-then rules you can test and automate. Set triggers like DXY up 1 percent in 24 hours, BTC below MA200, or funding above 0.03 percent, then define entries, exits and hedges. Run the same logic across Binance, Coinbase, OKX and Hyperliquid while keeping custody on your exchange accounts.
Traders often have a strong view on rates, inflation or liquidity, but execution breaks down under noise. The platform turns your thesis into a transparent rule set with logs, alerts and repeatable order sizing. You can simulate changes, clone variants and compare outcomes before going live. When conditions flip, the system reacts fast, without second-guessing.
On one dashboard you can combine price action, volatility and correlation cues into a single workflow. For example, reduce exposure when BTC 30-day volatility rises above 70 and ETH breaks below VWAP, then re-add risk when volatility falls below 55. Rules can run on spot or perps depending on venue support. Every action is traceable so you can review what fired and why.
Macro Regime Playbooks
Users build regime toggles that shift allocations when trend and volatility disagree. Example: if BTC closes above MA200 and ATR percent drops below 4, buy 20 percent of available USDT across a basket. If BTC closes below MA200 or ATR percent rises above 6, rotate to stablecoins and tighten stops.
Execution And Guardrails
Risk controls include position sizing, cooldowns and max drawdown limits so ideas do not turn into oversized bets. You can cap per-trade risk at 1 percent, require a 2-hour confirmation window, or block new entries during extreme spreads. Use alerts to review signals before enabling full automation, or let the engine execute immediately with predefined limits.
Risk-On/Risk-Off Macro Switch
Rotates between a risk basket and stablecoins when trend and volatility thresholds flip. Enters on daily close confirmation. Exits on regime reversal with a max loss stop.
Dollar Index Filtered Trades
Takes long signals only when the dollar proxy weakens and BTC holds above a moving average. Adds a 48-hour time stop if momentum fades. Uses a trailing take profit on strength.
SPY/VIX Risk Sentinel
Uses a volatility sentinel to reduce exposure when risk-off conditions appear. Pauses new entries during spikes and re-enables after a cooldown. Built for choppy macro weeks.
Cross-Asset Correlation Hedge
Adds a hedge when correlation breaks a threshold and momentum turns. Scales out as correlation normalizes. Includes a hard stop to limit hedge drift.
Volatility Regime Switcher
Switches between trend following and mean reversion based on realized volatility bands. Trades on 4-hour candles with confirmation. Exits when the regime changes again.
Risk-On/Risk-Off Macro Switch
Rotates between a risk basket and stablecoins when trend and volatility thresholds flip. Enters on daily close confirmation. Exits on regime reversal with a max loss stop.
Dollar Index Filtered Trades
Takes long signals only when the dollar proxy weakens and BTC holds above a moving average. Adds a 48-hour time stop if momentum fades. Uses a trailing take profit on strength.
SPY/VIX Risk Sentinel
Uses a volatility sentinel to reduce exposure when risk-off conditions appear. Pauses new entries during spikes and re-enables after a cooldown. Built for choppy macro weeks.
Cross-Asset Correlation Hedge
Adds a hedge when correlation breaks a threshold and momentum turns. Scales out as correlation normalizes. Includes a hard stop to limit hedge drift.
Volatility Regime Switcher
Switches between trend following and mean reversion based on realized volatility bands. Trades on 4-hour candles with confirmation. Exits when the regime changes again.
Volatility Targeted Trend
Sizes positions to target a fixed volatility level using ATR. Enters on trend confirmation and reduces size as ATR expands. Exits on a moving average crossback.
Risk Parity Allocator
Balances a multi-asset basket by equalizing risk contribution using volatility estimates. Rebalances weekly with min and max weights. Adds a cash buffer during high vol.
Portfolio Rebalance
Rebalances to target weights on a schedule or when drift exceeds a threshold. Uses limit orders where possible to reduce slippage. Adds a no-trade band to avoid churn.
Funding Rate Hedge
Adds a hedge when funding turns expensive and price momentum weakens. Closes when funding normalizes or trend resumes. Includes a time-based exit to prevent stagnation.
Bond-Equity Rotation Filter
Shifts exposure when defensive signals dominate and confirms twice before entry. Exits on a reversal signal and tightens stops during transitions. Designed for regime shifts.
Once you define your regime signals, you can chain actions into a playbook: enter, scale, hedge, then de-risk. Macro trading strategies work best when each step is pre-committed, like buying 5 percent on a breakout, adding 5 percent after a retest, then trailing 2.5 percent once profit exceeds 8 percent. Coinrule lets you express that sequence with conditions, timers and order types. You can also add a global kill switch if portfolio drawdown hits 6 percent in a day.
For crypto automation, connect via API keys and keep funds where they are. Many traders run the same rules on Binance and Kraken for liquidity, then use Bybit or Bitget for hedges. If you trade perps, you can automate on Hyperliquid with the same logic and risk limits. The interface keeps positions and triggers organized so you do not manage multiple tabs during a macro event.
Rather than deploying a full-size idea on day one, start with a small allocation and tighten constraints. For example, limit entries to 2 trades per day, require RSI above 50 on 4-hour candles, and block buys if spread exceeds 0.15 percent. Review the rule log weekly to see which filters helped and which caused missed moves. When results look stable, clone the bot and scale position size gradually.
Your assets stay on your exchange accounts, and you control permissions through API keys. On-chain automation can run through smart accounts with session keys for limited access and safer execution. You can revoke access at any time and keep a clear audit trail of actions.
Explore ToolsFAQ
Lars H.
Priya K.
Diego R.
Emma T.
Kenji M.
Amara N.
When liquidity shifts, yesterday's edge can disappear. Build rules that detect transitions, like a trend filter plus a volatility ceiling, then reduce exposure automatically. Add a confirmation step so one candle does not flip your whole book.
Sizing often matters more than the entry. Many users cap any single allocation to 10 percent and risk to 1 percent per trade, then scale only after confirmation. Set a portfolio exposure ceiling so multiple bots do not stack risk unintentionally.
Hedges work best when they are predefined and temporary. For example, open a 25 percent hedge when funding spikes and trend weakens, then close it when funding normalizes or after 24 hours. Keep the logic simple and review it often.
Treat every bot as a hypothesis you can refine. Export results, note which conditions triggered, and adjust one variable at a time. If you change timeframe, revisit stops and cooldowns too.
If you want on-chain exposure, you can automate through smart accounts and route trades via Li.fi to available liquidity. Session keys help limit permissions for safer execution. Apply the same risk limits you use on centralized venues.
Pick a template, set your thresholds, and connect an exchange. Start with one market and one timeframe, then expand once the behavior matches your expectations. Turn on alerts first, then enable live orders when you are comfortable.
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