Turn signals into repeatable automation with Industrial AI trading on Coinrule. Define rules, manage risk, and deploy fast across major exchanges.
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Instead of relying on manual clicks, Industrial AI trading on Coinrule helps you convert a thesis into a rule set you can run 24/7. Connect to Binance, Kraken, OKX or Hyperliquid and keep custody while the system executes via API. Set clear triggers, position sizing, and exits, then review logs to iterate.
Traders use the platform to standardize how ideas become orders. You can combine indicator signals, price levels, and time windows into one workflow, then clone it across pairs. Alerts, audit trails, and rule status make it easier to operate like a desk, not a chat room.
When you want intelligent automation, you still need transparency. Coinrule focuses on explainable, rule-based logic you can inspect, adjust, and stress test. For example, you might buy when RSI drops below 30 on 1-hour candles, but only if price stays above MA200, then exit at RSI 55 or a 2.5% trailing stop.
Operational Guardrails
Risk controls include max allocation per asset, max open positions, and hard stops. You can add a circuit breaker such as: if portfolio drawdown hits 6% in 24 hours, pause all rules and send an alert. These constraints help keep automation consistent during fast markets.
Multi-Venue Deployment
Run the same logic across spot and perps where supported, or separate them by account and risk profile. You can schedule rules, throttle frequency, and keep a single view of exposure across connected venues.
Volatility Breakout
Enter when price breaks a recent high with rising volume. Use an ATR-based stop loss and a trailing take profit. Fits 1H to 4H charts.
Grid Trading
Place a ladder of buys and sells inside a defined range. Re-center the grid if price drifts beyond a threshold. Best for sideways markets.
Stop Loss and Trailing Take Profit
Open on a simple trigger, then manage exits automatically. Set a fixed stop loss and activate a trailing take profit after a profit threshold.
MA Crossover with Volume Filter
Buy when a fast MA crosses above a slow MA and volume exceeds a baseline. Sell on crossback or when momentum fades. Helps avoid weak signals.
RSI Divergence Hunter
Look for bullish or bearish divergence with RSI while price tests a prior swing. Confirm with a break of a local level before entry. Exit on mean reversion or a time stop.
Volatility Breakout
Enter when price breaks a recent high with rising volume. Use an ATR-based stop loss and a trailing take profit. Fits 1H to 4H charts.
Grid Trading
Place a ladder of buys and sells inside a defined range. Re-center the grid if price drifts beyond a threshold. Best for sideways markets.
Stop Loss and Trailing Take Profit
Open on a simple trigger, then manage exits automatically. Set a fixed stop loss and activate a trailing take profit after a profit threshold.
MA Crossover with Volume Filter
Buy when a fast MA crosses above a slow MA and volume exceeds a baseline. Sell on crossback or when momentum fades. Helps avoid weak signals.
RSI Divergence Hunter
Look for bullish or bearish divergence with RSI while price tests a prior swing. Confirm with a break of a local level before entry. Exit on mean reversion or a time stop.
Dynamic Grid with ATR Spacing
Build a grid where spacing adapts to volatility using ATR. Widen orders in choppy periods and tighten when ranges compress. Add a global stop to cap downside.
Perps Trend Follower
Enter perps when trend and momentum align, then pyramid in small steps. Use a trailing stop to protect gains and a max leverage rule. Built for directional moves.
Funding Rate Hedge
Add a hedge when funding turns extreme against your position. Reduce exposure when funding normalizes. Helps manage carry costs in crowded perp trades.
VWAP Reversion Scalper
Fade short-term extensions away from VWAP on intraday charts. Take quick profits back toward VWAP and cut losses fast. Best when spreads and fees are controlled.
Portfolio Rebalance
Rebalance to target weights on a schedule or when drift exceeds a threshold. Add a volatility filter to pause during spikes. Useful for systematic allocation discipline.
Unlike one-off scripts, this approach benefits from repeatable processes: version your rules, test changes, and deploy with clear limits. A practical setup is: if BTC drops 5% in 4 hours, buy 2% of available balance, then place a 3% stop and take profit at 6%. You can run the same playbook across multiple pairs while keeping per-asset caps.
After launching, the platform gives you a clean activity trail for every trigger, order, and exit. Use it to spot slippage, missed fills, or rules that fire too often. Many users review weekly, then adjust one variable at a time, like moving RSI 30 to 28 or widening a stop from 2% to 2.8%.
For centralized venues, you connect with exchange API keys and keep funds on the exchange. Coinrule supports major liquidity hubs like Binance, Coinbase, Kraken and KuCoin, so you can diversify execution. For on-chain automation, see /onchain and route swaps through Li.fi for best available liquidity.
Risk-managed experimentation beats constant strategy hopping. Start with small size, define failure conditions, and add time stops so positions do not linger. If a rule underperforms for 30 trades, pause it, clone it, and test a single change rather than rewriting everything.
Launch BotFAQ
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Traders choose this approach because it emphasizes process over prediction. You define inputs, tolerances, and failure modes, then let the engine run. That mindset makes it easier to scale from one rule to a portfolio without losing control.
When a rule looks perfect in hindsight, it often breaks in live conditions. Keep parameters simple, prefer robust filters, and use time-based exits to reduce tail risk. If you change three variables at once, you will not know what actually helped.
Fees, spreads, and liquidity decide whether a model survives. Add minimum volume filters, avoid trading during thin hours, and cap order frequency. For perps, include funding checks and a maximum leverage rule.
If you prefer self-custody, you can automate on-chain execution using smart accounts and session keys with limited permissions. Routing through Li.fi helps find efficient paths across pools. See /onchain for the full stack and supported networks.
Set a review cadence, track a small set of metrics, and keep a changelog. Many users monitor win rate, average loss, and maximum drawdown, then decide whether to pause, tweak, or scale. Consistency comes from operations, not adrenaline.
Build one rule, add risk limits, and deploy it across venues with the same playbook. Start small, measure outcomes, and iterate with discipline inside Coinrule.
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