Turn robotics and automation tailwinds into rule-based crypto execution. Automate entries, hedges and rebalances across major exchanges with clear risk controls.
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Instead of reacting to headlines, Robotics macro investing becomes actionable when you define triggers, sizing and exits in Coinrule. Set rules that respond to liquidity, volatility and trend, then execute them on Binance, Kraken or Bybit without manual clicks.
Traders often express the robotics cycle through liquid proxies like BTC, ETH and high-beta alts, then adjust exposure as conditions change. Separate a core allocation from a tactical sleeve so the system can add risk when trends strengthen and cut risk when stress rises. This keeps the theme intact while avoiding all-in timing decisions.
When you already have a macro framework, the hard part is consistent execution. Coinrule lets you encode signals like moving average alignment, volatility breakouts and drawdown limits into one workflow. Test variations, clone rules and keep an audit trail of every decision the engine makes.
Theme To Execution
Set a trend rule: if BTC closes above MA200 and MA50 crosses above MA200, buy 10% of available USDT split across 2 orders. Add a risk-off rule: if BTC drops 6% in 24 hours, sell 30% of the tactical sleeve and move to a stablecoin. Layer a volatility filter: only trade when 24h realized volatility is below your threshold to reduce whipsaws.
Risk Controls
Define max position size, daily loss limits and cool-down timers so the automation cannot overtrade. Use a trailing stop like 3% initial, then tighten to 1.5% once unrealized profit exceeds 8%. Keep funds on the exchange while Coinrule connects via API keys.
Risk-On/Risk-Off Macro Switch
Rotates between a risk-on basket and stablecoins when trend and volatility flip. Uses MA alignment plus a drawdown trigger. Rebalances weekly to keep weights stable.
Portfolio Rebalance
Rebalances back to target weights on a schedule like Friday 16:00 UTC. Adds bands such as 3% drift before trading. Helps keep a theme allocation consistent.
Volatility Regime Switcher
Trades only in the preferred volatility regime using ATR or realized volatility thresholds. In high vol, reduces size or pauses entries. In low vol, allows normal execution.
MA Crossover with Volume Filter
Buys on MA crossovers only when volume exceeds a multiple of the 20-period average. Exits on crossback or a trailing stop. Aims to avoid weak breakouts.
Volatility Breakout
Enters when price breaks above a volatility band and confirms with a close. Sets stop loss at a fixed ATR multiple. Takes partial profits at predefined levels.
Risk-On/Risk-Off Macro Switch
Rotates between a risk-on basket and stablecoins when trend and volatility flip. Uses MA alignment plus a drawdown trigger. Rebalances weekly to keep weights stable.
Portfolio Rebalance
Rebalances back to target weights on a schedule like Friday 16:00 UTC. Adds bands such as 3% drift before trading. Helps keep a theme allocation consistent.
Volatility Regime Switcher
Trades only in the preferred volatility regime using ATR or realized volatility thresholds. In high vol, reduces size or pauses entries. In low vol, allows normal execution.
MA Crossover with Volume Filter
Buys on MA crossovers only when volume exceeds a multiple of the 20-period average. Exits on crossback or a trailing stop. Aims to avoid weak breakouts.
Volatility Breakout
Enters when price breaks above a volatility band and confirms with a close. Sets stop loss at a fixed ATR multiple. Takes partial profits at predefined levels.
DCA Accumulator
Splits a fixed budget into timed buys, such as $500 per month into four $125 weekly buys. Adds an optional dip trigger to increase size when price falls 4%. Smooths entries over time.
Stop Loss and Trailing Take Profit
Adds a hard stop to cap downside and a trailing take profit to lock gains. Example: 2.5% stop, 4% trail after entry. Works as a risk layer on most templates.
Breakout + Retest
Buys after a breakout, then waits for a retest of the level before confirming entry. Uses a time window like 12 candles to validate. Exits on failed retest or target.
Sharpe Targeting Rebalance
Adjusts exposure to target a smoother return profile using volatility estimates. Scales down when volatility rises and scales up when it falls. Rebalances on a fixed cadence.
Dollar Index Filtered Trades
Uses a USD strength proxy filter to gate entries. When the filter signals strong USD, reduces risk and favors defensive allocations. When it weakens, allows risk-on entries.
For multi-venue execution, connect Coinrule to Binance, OKX, Bitget or Hyperliquid and run the same logic everywhere. Enable per-exchange sizing so one venue never dominates risk. Every order is logged, and you can pause all rules instantly if conditions change.
Rather than betting on a single token, many users build a basket that reflects the automation narrative and then manage it systematically. With Robotics macro investing, define what is core versus tactical, then automate the tactical sleeve. Example: keep 70% in a core BTC and ETH mix, and let 30% rotate into higher beta names only when Supertrend is green on the 4-hour chart. Add a rule that cuts the tactical sleeve to 10% if total portfolio drawdown hits 8%.
On this platform you can also automate on-chain execution on Base, Arbitrum and Binance Smart Chain using smart accounts. Session keys limit permissions so strategies can trade without exposing full wallet control. Routing via Li.fi helps find efficient liquidity across pools when you want exposure without relying on a single venue.
Unlike discretionary theme trades, rule-based execution forces you to define what would invalidate the thesis. Schedule reviews, export performance and iterate without changing your entire approach. Over time, the system becomes a playbook you can reuse across cycles.
Explore BotsFAQ
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Every macro theme goes through risk-on and risk-off phases. Build rules that adapt: scale in when trend confirms, scale out when volatility expands, and rebalance when drift grows. This reduces the need to predict the next headline.
Once entries and exits are defined, consistency matters more than creativity. Automate order types, time windows and cool-downs so you do not overtrade. Boring execution is often the edge.
Set a maximum theme allocation and treat it like a budget. If the portfolio is down 5% on the week, reduce size or pause new entries until conditions normalize. Constraints help protect long-term participation.
Configure notifications for drawdowns, large candles and rule triggers so you stay informed without staring at charts. Alerts should prompt decisions like pause, reduce size or rebalance, not panic. See /automated-trading for more workflow ideas.
After one strategy behaves well, clone it and change only one variable, such as timeframe or stop distance. Compare outcomes over a fixed sample size like 50 trades. This keeps iteration disciplined.
Build a rules-based framework that expresses your view while controlling downside. Connect an exchange, pick a template, and adjust conditions to match your signals. Then let the engine handle the repetitive work.
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