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Coinrule
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When liquidity shifts, your rules react faster than emotions.

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Macro-to-execution playbooks

Example Rules For Liquidity Regimes

When BTC closes above MA200 and RSI(14) on 1D is above 55, increase a risk-on basket by 10 percent. If price drops 5 percent in 4 hours, buy 2 percent of balance, but only if funding is neutral. If volatility expands and BTC falls below MA200, rotate 20 percent into stablecoins and pause new longs for 24 hours.

Guardrails for choppy markets

Add hard stops like a 2.5 percent stop loss per position and a portfolio drawdown limit of 8 percent to halt bots. Use trailing take profit at 6 percent with a 2 percent trail to lock gains during fast squeezes. These controls keep the system consistent when headlines hit.

Features and Benefits

Connect Exchanges And Keep Custody

For centralized venues, Coinrule connects via API keys so your funds stay on the exchange. Run the same rule set across Binance, KuCoin, Bitget and Coinbase without duplicating manual work. You can enable read-only keys first to test dashboards and alerts. When ready, switch to trading permissions and start small with position caps.

Build A Liquidity Dashboard In Minutes

Start with a template, then customize it to match your macro view. Add conditions like BTC dominance thresholds, a moving average slope filter, or a time-based rebalance every Friday at 16:00 UTC. Use labels and notes to document why each rule exists. That makes iteration easier when the regime changes.

Use Perps Carefully With Automated Risk

Leverage amplifies both good and bad timing, so the system should enforce discipline. Set max leverage, a liquidation buffer rule and a hard stop like 1.5 percent on high beta positions. Add a rule that reduces exposure by 30 percent after two consecutive stop outs in 24 hours. If you trade perps, consider a separate bot for hedges so it does not interfere with spot accumulation.

A Practical Workflow For Macro Traders

After you define your regime signals, separate rules into three layers: entries, exits and portfolio constraints. Keep entries simple, keep exits strict and keep constraints conservative. Then clone the bot and change only one variable at a time, like RSI 30 vs 35 or MA100 vs MA200. This approach makes it clear what actually drives performance.

FAQ

Frequently Asked Questions

What Users Say

This section displays customer reviews, ratings, and testimonials from traders who use our platform.
4.3
Excellent 4.3
Trustpilot
Lars H. reviewer profile iconLars H.
Consistency beats emotion every time.
Priya K. reviewer profile iconPriya K.
I was skeptical, but the logs proved my exits needed work.
James W. reviewer profile iconJames W.
Cut my screen time by hours and still caught the big moves.
Mei L. reviewer profile iconMei L.
I worried about overtrading, but the cooldown rules kept me disciplined through choppy weeks.
Diego R. reviewer profile iconDiego R.
The drawdown cap stopped my bots fast, then I reviewed the logs and fixed the weak filters.
Sarah K. reviewer profile iconSarah K.
Running one playbook across two exchanges made tracking, testing and improving my process much easier.

Additional Benefits

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Design Rules Around Regimes, Not Predictions

Macro traders win by adapting, not by calling exact turning points. Build one rule set for expansion phases and another for contraction phases, then switch with objective triggers. Use a minimum holding period, like 6 hours, to avoid flip-flopping. This keeps execution aligned with the bigger picture.

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Keep Position Sizing Mechanical

Size is a decision, so automate it. For example, risk 0.5 percent of equity per trade in high volatility and 1 percent in low volatility. Add a cap like 25 percent max allocation to any single asset. Mechanical sizing reduces the damage from a wrong read.

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Use Alerts As A Second Line Of Defense

Set real-time notifications for drawdown thresholds, failed orders and sudden price gaps. Alerts help you intervene when market structure changes or an exchange has issues. Pause all rules with one action and resume after conditions normalize.

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Separate Accumulation From Trading

Long-term accumulation works best when it is boring. Run DCA on BTC and ETH on a schedule, then use a separate tactical bot for breakouts and hedges. This separation prevents short-term noise from disrupting core holdings. It also makes performance attribution clearer.

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Review And Iterate With Clean Data

Export trade history and tag each rule change with a date. Compare performance before and after edits, and avoid changing multiple variables at once. If a filter reduces trades by 70 percent, confirm it improves drawdown meaningfully. Iteration turns a good idea into a durable system.

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