Design goal-driven rules that react to market signals, then let Coinrule execute across spot, perps and on-chain venues with clear risk controls.
410k+
users building automations
2M+
strategies executed
20+
Exchanges Supported
Instead of watching charts all day, you can use Agentic crypto trading to translate goals into rules that act on your behalf. Set conditions like \"buy 2% when price drops 5% in 4 hours\" and \"sell 25% at +8%\" while Coinrule executes on Binance, Kraken, Bybit, OKX or Hyperliquid. You stay in control with clear logs, alerts and safety limits.
Traders start by defining a small set of objectives: accumulate, protect downside or follow momentum. The platform checks conditions continuously and places orders when your logic matches. Combine price triggers, indicators and time windows, for example: \"If RSI(14) < 30 on 1H and MA100 is rising, buy; exit when RSI > 60.\" Every action is recorded so you can review decisions and refine the logic.
On this system, one strategy can coordinate spot entries, perp hedges and on-chain swaps without juggling tabs. Connect venues via API keys, or use smart accounts for on-chain execution on Base, Arbitrum and Binance Smart Chain. Routing uses Li.fi to seek efficient liquidity while you keep a single view of exposure and performance.
Goal-Driven Rules
Every bot starts with a target behavior and a few hard limits. You might cap exposure at 20% per asset, pause after a 6% daily drawdown and require a cooldown of 30 minutes between entries. Those guardrails keep the automation consistent when markets get noisy.
Transparent Execution
Users can inspect each trigger, order and fill, then clone the rule set to iterate safely. Paper-style testing and staged rollouts help you avoid deploying unproven logic at full size.
Buy the Dips
Buys when price drops 3% from a 24H high and volume stays steady. Adds a second entry if price falls another 2%. Takes profit at +6% or exits on a 2% trailing stop.
Grid Trading
Places a grid of buy and sell orders inside a defined range. Re-centers the grid if price breaks out by 4%. Best for sideways markets with clear support and resistance.
RSI Oversold Rebound
Enters when RSI(14) falls below 30 on 4H candles. Exits when RSI rises above 55 or price hits +5%. Adds a protective stop at -2.5% to limit downside.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Confirms with a volume spike filter. Sells on a close back below the breakout level or a 3% trailing stop.
Stop Loss and Trailing Take Profit
Opens a position on a simple signal, then manages risk automatically. Sets a fixed stop loss, then switches to a trailing take profit after +4% unrealized gain. Designed for hands-off exits.
Buy the Dips
Buys when price drops 3% from a 24H high and volume stays steady. Adds a second entry if price falls another 2%. Takes profit at +6% or exits on a 2% trailing stop.
Grid Trading
Places a grid of buy and sell orders inside a defined range. Re-centers the grid if price breaks out by 4%. Best for sideways markets with clear support and resistance.
RSI Oversold Rebound
Enters when RSI(14) falls below 30 on 4H candles. Exits when RSI rises above 55 or price hits +5%. Adds a protective stop at -2.5% to limit downside.
Volatility Breakout
Buys when price closes above the prior 20-candle high and ATR expands. Confirms with a volume spike filter. Sells on a close back below the breakout level or a 3% trailing stop.
Stop Loss and Trailing Take Profit
Opens a position on a simple signal, then manages risk automatically. Sets a fixed stop loss, then switches to a trailing take profit after +4% unrealized gain. Designed for hands-off exits.
Supertrend Momentum
Enters when Supertrend flips bullish on 1H and price is above MA200. Exits on the first bearish flip. Adds a time stop to close after 48 hours if momentum fades.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is 20% above its 10-period average. Sells when MA20 crosses back below MA50. Avoids low-liquidity chop with the volume condition.
DCA Accumulator
Splits a monthly budget into weekly buys, then adds extra buys on dips. Example: buy $125 every 7 days, plus 1% of balance if price drops 4% in a day. Reduces buying during spikes with a max price filter.
Breakout + Retest
Waits for a breakout close above resistance, then buys on a retest within 1%. Invalidates if price falls 2% below the level. Takes profit at +7% or trails after +5%.
Funding Rate Hedge
When funding turns strongly positive, opens a small hedge on perps to reduce long exposure. Closes the hedge when funding normalizes. Useful for managing carry costs during crowded trends.
Unlike black-box systems, Coinrule makes risk explicit: position sizing, max open trades and portfolio caps are first-class settings. Add rules like \"never allocate more than 15% to one token\" and \"close all positions if BTC drops 3% in 1 hour.\" You can also require confirmations, such as a breakout plus a volume threshold, before any entry triggers.
Your funds stay on your chosen venue while Coinrule sends orders through permissions you control. For centralized exchanges, you connect via API keys with trading-only access. For on-chain automation, smart accounts and session keys can limit what the bot can do and when it can do it. This setup keeps execution flexible without handing over custody.
Once you have a stable template, you can evolve it into Agentic crypto trading by layering objectives and constraints. Example: run a trend bot on ETH, but reduce size by 50% when volatility exceeds an ATR threshold, and rotate into a defensive basket when BTC dominance rises 2% in a week. Schedule rebalances, add time stops and route orders across venues while keeping one audit trail. See /automated-trading for more building blocks.
After you deploy, treat each rule set like a strategy sleeve with its own limits and performance view. Pause, clone and adjust without breaking the rest of your stack. Alerts help you intervene only when something meaningful changes.
Launch BotFAQ
Sofia G.
James W.
Priya K.
Lars H.
Diego R.
Yuki T.
Rules can watch price, indicators and portfolio state at the same time. That means you can express intent like \"follow trend, but only when liquidity is healthy\" using volume filters and spread-aware execution. When conditions fail, the system does nothing.
For traders using perpetuals, automation can manage hedges and reduce funding drag. You might open a small short hedge when funding exceeds 0.03% and close it when it drops below 0.01%. Pair that with a max leverage rule to keep risk bounded.
On-chain automation benefits from scoped access. Session keys can restrict tokens, spending limits and time windows so strategies cannot exceed your plan. Add a confirmation rule before any swap to keep control tight.
Every change is an experiment. Track win rate, average hold time and drawdowns, then adjust one variable at a time. Many traders start by tightening exits, then add a volatility filter to reduce churn.
Most bots fail from over-trading, over-sizing or ignoring regime shifts. Use cooldowns, cap the number of open positions and add a choppy-market filter when trend signals degrade. Keep fees in mind, especially on lower timeframes.
Connect an exchange, pick a template and rewrite it around your objective and limits. Start with a single pair, a clear stop and a realistic take profit. Expand to a small portfolio once the behavior matches your intent.
Get Access
