Design and run no-code bots with a visual rule builder, templates and risk controls. Connect Binance, OKX, Kraken or Bybit for 24-7 execution.
410k+
users building rules
1M+
strategies created
20+
Exchanges Supported
Instead of wiring indicators and APIs, you can build No code trading bots in Coinrule using simple if-this-then-that logic. Set entries, exits and position sizing, then deploy to Binance, Coinbase or Kraken with your own keys. Keep control while the engine watches markets 24-7 and executes what you defined.
Traders use the rule editor to combine price triggers, indicators and time filters without writing scripts. You might buy when RSI drops below 30 on 1-hour candles, then sell when RSI rises above 55 or price hits a 3 percent take profit. Add a trend filter like MA200 to avoid fighting the larger move. Every rule is readable, auditable and easy to iterate after you review results.
Coinrule is non-custodial, so funds stay on your exchange accounts while the platform sends orders via API permissions you choose. Connect venues like OKX, Bybit, Bitget and KuCoin, then limit keys to trading only. You can pause, edit or stop automation instantly, and logs show each trigger and order. That transparency helps you debug faster than guessing what a black-box bot did.
Fast Starts With Templates
Start from templates like Grid Trading, DCA or trend-following, then adjust thresholds to match your risk. For example, split a 500 USDT budget into four 125 USDT weekly buys, and stop after 8 weeks. Or buy 2 percent of balance if price drops 5 percent within 4 hours, only when volume is above its 20-period average. Save versions so you can compare changes over time.
Risk Controls Built In
Define guardrails like max allocation per coin, cooldown timers between trades and portfolio-level stops. Add a trailing stop that tightens from 3 percent to 1.5 percent once profit exceeds 10 percent, so winners do not turn into losers.
Buy the Dips
Buys after a 5 percent drop from a recent high with RSI below 40. Adds another entry after a further 3 percent dip. Exits on a 6 percent rebound or a time stop.
Grid Trading
Places staggered buys and sells inside a defined range. Uses equal spacing and fixed order size to harvest chop. Stops if price breaks the range by 2 percent.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above MA200. Takes profit when RSI exceeds 65 or price reaches a 4 percent target. Uses a 2 percent stop loss.
Stop Loss and Trailing Take Profit
Enters on a breakout, then sets a hard stop at 2.5 percent. Activates a trailing take profit after a 3 percent gain with a 1.2 percent trail. Built for fast moves.
Supertrend Momentum
Buys when Supertrend flips bullish on 4-hour candles and volume rises. Sells when Supertrend turns bearish or after a 7 percent move. Skips low-volatility periods.
Buy the Dips
Buys after a 5 percent drop from a recent high with RSI below 40. Adds another entry after a further 3 percent dip. Exits on a 6 percent rebound or a time stop.
Grid Trading
Places staggered buys and sells inside a defined range. Uses equal spacing and fixed order size to harvest chop. Stops if price breaks the range by 2 percent.
Optimised RSI and MA Strategy
Enters when RSI crosses above 35 while price is above MA200. Takes profit when RSI exceeds 65 or price reaches a 4 percent target. Uses a 2 percent stop loss.
Stop Loss and Trailing Take Profit
Enters on a breakout, then sets a hard stop at 2.5 percent. Activates a trailing take profit after a 3 percent gain with a 1.2 percent trail. Built for fast moves.
Supertrend Momentum
Buys when Supertrend flips bullish on 4-hour candles and volume rises. Sells when Supertrend turns bearish or after a 7 percent move. Skips low-volatility periods.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35. Sells at the middle band or when RSI reaches 55. Closes after 48 hours if it stalls.
DCA Accumulator
Buys a fixed amount on a schedule, such as 50 USDT every Monday. Adds an extra buy if price is down 4 percent week over week. Pauses if drawdown exceeds a set limit.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a 3 percent stop. Targets early trend shifts.
Volatility Breakout
Buys when price breaks the prior 24-hour high and ATR expands. Sets take profit at 2x ATR and stop at 1x ATR. Skips signals when spreads widen.
Support and Resistance Bounce
Buys near a support zone after two failed breakdown attempts. Sells at the next resistance level or after a 5 percent gain. Uses a stop just below support.
Unlike code-first tools, you can express your plan as a sequence of conditions and actions. Combine signals such as RSI, moving averages and price change over time, then add confirmations like volume or trend direction. This makes it easy to test one change at a time and understand why a trade fired.
No code trading bots work best for repeatable decisions, not gut calls. Use them for DCA, breakout entries and disciplined exits, especially when you cannot watch charts. Keep manual control for news-driven events or thin liquidity. Review performance weekly and automate the boring parts.
Risk controls include trade-only API keys, per-bot allocation caps and global kill switches. You can require cooldowns, for example no more than one entry every 2 hours, to avoid overtrading. Set portfolio exposure limits so one strategy cannot dominate your account. These guardrails help execution stay systematic.
After a run, review the event log to see each trigger, order and fill. Clone the strategy, adjust one parameter, and compare results over the same market regime. That feedback loop helps you improve consistency without chasing every new indicator.
Start BotFAQ
Sofia G.
Michael R.
Lars H.
Priya K.
Diego R.
Yuki T.
Run the same logic across multiple venues or keep strategies isolated per exchange. That flexibility helps you separate long-term accumulation from short-term tactics. You can also standardize risk settings so every bot follows the same exposure rules.
Use spot strategies for accumulation, then add hedges on perps where available. For on-chain execution, smart accounts and session keys can limit permissions while routing finds efficient liquidity. Keep the same rule mindset across venues, even when execution differs.
Consider a max daily loss rule, such as stopping new entries after a 3 percent account drawdown. Add a time stop so positions close after 72 hours if the thesis does not play out. Simple patterns often matter more than adding another indicator.
Set notifications for fills, stop triggers and unusual volatility so you stay informed without watching charts. Use alerts to prompt review, not to override the system on every candle. Consistent review beats constant interference.
Start with one variable change per iteration, like moving RSI entry from 30 to 33. Track outcomes over a fixed sample size, such as 30 trades, before judging. This keeps optimization grounded and avoids curve fitting.
Build one strategy, connect an exchange, and let the system run with clear limits. When you are ready, expand to more pairs and add portfolio-level controls. See /automated-trading for more examples and workflows.
Get Started
