Test crypto strategies with paper trading automation on Coinrule. Simulate entries, exits and risk controls, then switch to live execution on top exchanges.
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Instead of guessing how a bot will behave, Coinrule lets you validate logic with paper trading automation in a realistic workflow. Simulate entries, exits and position sizing, review every trigger, and refine rules before connecting funds on Binance, Coinbase, Kraken or Bybit.
Traders start with templates or build from scratch in a visual rule builder. Set conditions like RSI below 30 on 1-hour candles, then define actions such as buy 2 percent of balance and place a 3 percent stop loss. Add time filters, cooldowns and max open positions so the system behaves like a disciplined operator. Every change is versioned so you can compare iterations. When you are ready, clone the same logic into a live rule without rebuilding it.
On this platform, transparency matters as much as performance. The logs show which condition fired, what price was used, and why an order would have been placed. You can spot issues like overlapping signals, missing exits or position sizing that compounds too fast. Try a scenario like: if price drops 5 percent in 4 hours, buy 1 percent, but only if trend is up on MA200. That level of detail makes debugging systematic instead of emotional.
Simulation With Guardrails
Coinrule connects using exchange API permissions while your assets remain on Binance, OKX, KuCoin or Bybit. Use read and trade access only, and rotate keys whenever you want. For on-chain strategies, you can use smart accounts with limited session permissions for safer automation. You stay in control of deposits, withdrawals and custody at all times.
One Builder, Two Modes
Once a setup looks stable, you can keep the same structure and simply switch the execution mode. The engine stays rule-based, but you decide when it is appropriate to route orders to your connected venue. This keeps your process consistent across research and deployment. For more on workflows, see /automated-trading.
Buy the Dips
Buys after a 3-5 percent pullback while the higher timeframe trend stays up. Adds a second entry if price drops another 2 percent. Exits on a 4 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 capture chop. Stops the grid if price breaks out by 2 ATR.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 1-hour candles. Sells at the middle band or when RSI exceeds 55. Includes a 2.5 percent stop loss.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 20 percent above its 20-period average. Exits on the reverse cross or a 3 percent trailing stop. Works well on 4-hour charts.
Supertrend Momentum
Buys when Supertrend flips bullish and price is above VWAP. Takes partial profit at 5 percent and trails the rest by 2 percent. Pauses after two stop outs in a row.
Buy the Dips
Buys after a 3-5 percent pullback while the higher timeframe trend stays up. Adds a second entry if price drops another 2 percent. Exits on a 4 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 capture chop. Stops the grid if price breaks out by 2 ATR.
Bollinger Band Mean Reversion
Buys when price closes below the lower band and RSI is under 35 on 1-hour candles. Sells at the middle band or when RSI exceeds 55. Includes a 2.5 percent stop loss.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is 20 percent above its 20-period average. Exits on the reverse cross or a 3 percent trailing stop. Works well on 4-hour charts.
Supertrend Momentum
Buys when Supertrend flips bullish and price is above VWAP. Takes partial profit at 5 percent and trails the rest by 2 percent. Pauses after two stop outs in a row.
RSI Divergence Hunter
Looks for bullish divergence with RSI making higher lows while price makes lower lows. Confirms with a break above the last swing high. Exits at a 1.5R target or on RSI above 65.
Donchian Channel Turtle
Enters on a 20-period Donchian breakout and adds on a 10-period breakout. Uses ATR-based position sizing and a 2 ATR stop. Exits on a 10-period channel break the other way.
Opening Range Breakout
Defines the first 30 minutes as the range, then buys the break with a 0.5 percent buffer. Sets a stop at the range low and takes profit at 2R. Best for high-liquidity pairs.
Volatility Breakout
Triggers when price expands beyond an ATR channel and closes above resistance. Uses a tight initial stop, then widens to a trailing stop after 3 percent profit. Avoids entries during low volume.
Portfolio Rebalance
Rebalances allocations back to targets on a weekly schedule. Sells overweight positions and buys underweight ones with a 1 percent threshold. Helps maintain risk exposure across a basket.
trailing exits and cooldown timers to prevent rapid-fire re-entries. These guardrails help keep automation systematic rather than reactive."
After you have a baseline, create a checklist: entry condition, position size, stop, take profit, and a fail-safe pause rule. Paper trading automation makes it easy to run that checklist across multiple pairs without changing the core logic. You can schedule rules, limit concurrent positions, and enforce per-asset caps so results are comparable. When a rule behaves well, clone it and adjust only the market filter, like requiring MA200 uptrend. Over time you build a library of proven components rather than one fragile bot.
For crypto automation, execution details differ by venue, but your logic should not. Coinrule connects to exchanges like OKX, KuCoin, Bitget and Hyperliquid, so you can keep one strategy design and deploy where liquidity and fees fit your plan. Use the same risk limits across accounts to avoid accidental overexposure. If you trade multiple venues, a unified dashboard helps you see what is running and why. That consistency is the real edge of a rules-first workflow.
Every bot has a moment when it stops being an idea and becomes a system. Look for stable behavior across different volatility weeks, not just a single good run. Confirm that exits trigger reliably and that position sizing stays within your limits. Then start small, keep the same guardrails, and monitor the logs closely. Discipline beats speed.
Go LiveFAQ
Marco P.
Priya K.
Hannah S.
Lars H.
Diego R.
Yuki T.
Try a simple three-rule stack: buy when RSI(14) < 30 on 1-hour candles, sell 50 percent at +4 percent, and trail the rest by 2 percent after +6 percent. Add a safety rule that pauses for 12 hours after two stop outs. This gives you clear signals, defined exits and a cooldown. It is easy to evaluate and hard to overcomplicate.
Risk limits keep experimentation honest. Cap exposure per coin at 10 percent, limit open positions to three, and set a portfolio drawdown alert at 5 percent. These constraints make results comparable across weeks. They also reduce the temptation to chase losses with bigger size. Good automation is boring by design.
Write down what you changed and why before you run a new version. Name rules with the variable you are testing, like MA20xMA50-v2 or RSI30-TP6. Review the log after each run and note false signals and missed exits. This turns tinkering into a repeatable research loop. Consistency compounds.
Add filters only after the base logic behaves well. A common next step is a trend gate, such as only buying dips when price is above MA200. Another is a volatility filter, like skipping entries when ATR is below its 20-day average. Each filter should have a clear purpose. If it does not, remove it.
Start with the minimum size your exchange allows and keep the same stops and caps. Watch the first 20-50 signals to confirm behavior matches expectations. If fills differ, adjust limits and order types rather than rewriting the strategy. Scale only after the process is stable. This is how systematic trading stays sustainable.
Build a strategy, run it in simulation, and promote it to live execution when behavior is consistent. Coinrule keeps custody with you while providing tooling to design, monitor and iterate with discipline. To explore more templates, see /templates.
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