Design an agentic trading system in Coinrule to monitor markets, trigger rule-based actions and manage risk across Binance, OKX, Bybit, Kraken and more.
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Instead of watching charts all day, an agentic trading system in Coinrule can monitor price, indicators and time windows, then execute your plan automatically. You define the intent and constraints, and the engine handles consistent execution on venues like Binance, Coinbase and Hyperliquid.
Traders use the platform to translate playbooks into if-this-then-that logic with clear triggers and actions. For example, buy 2% of balance if BTC drops 5% in 4 hours and RSI(1H) is below 35, then place a 2.5% stop loss. Add cooldowns, max open positions and time stops so the automation does not overtrade. Every run is logged so you can audit decisions and iterate.
On this platform you can run the same strategy across multiple exchanges while keeping a unified view of exposure. Connect via API keys to Kraken, KuCoin, OKX or Bybit and decide per rule where orders should route. Separate spot and perps logic, set different position sizing per venue and pause everything with one switch. Alerts keep you informed when conditions trigger or risk limits are hit.
Guardrails And Risk Controls
Risk controls include max allocation per coin, daily loss limits and automatic bot pauses after consecutive stop outs. You might cap total exposure at 25% and require a 30-minute cooldown after any loss. These guardrails help keep systematic execution aligned with your plan, even during fast markets.
Templates You Can Customize
Start from proven templates, then adapt triggers, sizing and exits to match your timeframe. Clone a strategy, change RSI thresholds, add a trailing take profit and test it in minutes. The builder keeps logic readable so you can maintain a library of variations without code.
Buy the Dips
Buys when price drops 3% from a 24H high and RSI(4H) is below 40. Sells on a 4% rebound or when RSI rises above 60. Adds a 2% stop loss for downside control.
Grid Trading
Places layered buy and sell orders inside a defined range, like 5% bands with 0.75% spacing. Takes profit on each grid fill and re-centers if price breaks out. Best for sideways conditions.
Volatility Breakout
Enters when price closes above the prior 20-candle high and ATR expands by 15%. Exits on a close back below the breakout level or a trailing stop. Designed for momentum bursts.
Stop Loss and Trailing Take Profit
Opens a position on your chosen signal, then sets a fixed stop loss like 2.5%. Activates a trailing take profit after 4% unrealized gain with a 1.2% trail. Helps lock gains without guessing tops.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 on 1H candles and volume is 20% above its 20-period average. Sells when the cross reverses or volume fades. Avoids weak signals in thin markets.
Buy the Dips
Buys when price drops 3% from a 24H high and RSI(4H) is below 40. Sells on a 4% rebound or when RSI rises above 60. Adds a 2% stop loss for downside control.
Grid Trading
Places layered buy and sell orders inside a defined range, like 5% bands with 0.75% spacing. Takes profit on each grid fill and re-centers if price breaks out. Best for sideways conditions.
Volatility Breakout
Enters when price closes above the prior 20-candle high and ATR expands by 15%. Exits on a close back below the breakout level or a trailing stop. Designed for momentum bursts.
Stop Loss and Trailing Take Profit
Opens a position on your chosen signal, then sets a fixed stop loss like 2.5%. Activates a trailing take profit after 4% unrealized gain with a 1.2% trail. Helps lock gains without guessing tops.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 on 1H candles and volume is 20% above its 20-period average. Sells when the cross reverses or volume fades. Avoids weak signals in thin markets.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and Z-score is below -1.5. Exits at the middle band or when RSI returns above 50. Adds a time stop after 24 hours if mean reversion stalls.
Perps Trend Follower
Enters perps when Supertrend flips bullish and ADX is above 20 on 4H candles. Reduces risk when funding turns extreme and exits on a Supertrend flip. Built for sustained trends.
Portfolio Rebalance
Rebalances to target weights weekly, like 50% BTC, 30% ETH and 20% SOL. Triggers early if any asset drifts more than 5% from target. Keeps risk aligned without manual rebalancing.
Opening Range Breakout
Defines the first 30 minutes range, then buys on a break above with a 1% buffer. Sells if price falls back into the range or hits a 2R target. Useful for structured intraday moves.
Funding Rate Mean Reversion
Hedges when funding exceeds a threshold like 0.03% and open interest is rising. Closes the hedge when funding normalizes or after a set time window. Aims to reduce carry drag in crowded trades.
Unlike black-box bots, Coinrule keeps decisions explicit: signals, actions and constraints are visible and editable. An agentic trading system can be modeled as a loop: observe (price, RSI, funding), decide (enter, scale, hedge) and act (order, stop, take profit). For instance, if ETH breaks above a 20-day high and ADX is above 25, buy 1.5% of balance, then trail by 1% after a 3% gain. If volatility spikes and drawdown reaches 4% in a day, pause all strategies and send an alert. This structure makes it easier to debug and improve over time.
For crypto automation, you can run spot strategies on Coinbase while deploying hedges on Hyperliquid perps from the same workspace. Set separate leverage, position sizing and liquidation buffers per rule. Use order types that match your style, including limit entries, market exits and laddered take profits. The goal is consistent execution with fewer manual clicks.
When you want on-chain execution, Coinrule can operate through smart accounts so you keep control of funds. Session keys can limit permissions to specific actions and time windows, reducing operational risk. Trades can route through Li.fi to find efficient liquidity across pools. You can automate actions like swapping into stablecoins when a portfolio drawdown hits 6% or rebalancing weekly on Base or Arbitrum.
Templates are a starting point, not a finish line. Review logs, adjust thresholds and change timeframes as market conditions shift. Many users iterate by tightening stops after a 10% run or adding a time stop to avoid dead money. For more, see /automated-trading.
Launch BotFAQ
Lars H.
Priya K.
Diego R.
Emma T.
Kenji M.
Amara N.
Every strategy needs constraints to survive noisy markets. Use max concurrent positions, per-asset caps and time-based exits to avoid getting stuck. Combine signals so you only trade when conditions align. Small details like cooldowns often matter more than fancy indicators.
A good automation setup is explainable. Keep each rule focused, name it clearly and track why it entered and exited. When performance changes, adjust one variable at a time. This is how systematic trading becomes repeatable.
Once one strategy is stable, clone it for other pairs and adjust volatility settings. Rebalance allocations weekly and add a defensive stablecoin switch during higher-risk regimes. Keep correlation in mind so you do not accidentally double the same bet. Portfolio-level limits help maintain control.
Trends, ranges and news spikes require different playbooks. Use regime filters like ADX or volatility thresholds to decide when a bot should run. In quiet periods, mean reversion can work; in breakouts, trend rules may dominate. Switching logic beats forcing one strategy everywhere.
Start simple, then add complexity only when you can measure the benefit. Review performance weekly, not every minute. Use alerts for exceptions, not constant noise. Over time, your library becomes a structured set of playbooks you can reuse.
Coinrule combines templates, a no-code builder, multi-exchange connectivity and on-chain options in one workflow. If you want to go deeper on systematic execution, see /trading-bots and /automated-trading. Build rules, set guardrails and keep control of custody.
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