Treat bots as a portfolio
Cryptocurrency Trading Bots work best when you manage them as a portfolio: different strategies, overlapping pairs, and allocation limits. Keep overlap visible and adjust sizing instead of guessing.
Cryptocurrency Trading Bots
Run Cryptocurrency Trading Bots as a portfolio: templates for dips, grids and trends, plus allocation limits and logs across Binance, Kraken and Bybit.
Run a portfolio of bots, not a single guess.
395k+
users building automation
1.6M+
rule checks completed
1,100+
trading pairs
4.3
Excellent 4.3
Trustpilot
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Templates for faster starts
Use pre-built templates for dips, grids and trends, then customize thresholds. Templates give you a baseline to compare your own ideas against.
Guardrails define the portfolio
Risk caps, cooldowns, position limits, and stop rules are part of the bot portfolio, not optional extras. Guardrails prevent overtrading when conditions change.
Explainable signals
Indicators with clear intent
Use moving averages, RSI, MACD and volatility filters with a clear reason for each. Fewer signals make debugging easier and reduce fragile strategies.
Logs for iteration
Logs show what triggered and what executed, so reviews are honest. For related pages, see /crypto-bots and /trading-bots.
Market Leader Breakout
Enter when price breaks above a recent high with confirmation. Exit on trailing stop or risk cap. A clean algorithm for momentum regimes.
EMA Crossings with RSI
Enter on an EMA cross only when RSI confirms strength. Exit on crossback or trailing logic. Filters weak signals and reduces churn during chop.
Bollinger Band Below Price with RSI
Combine band signals with RSI confirmation to reduce false positives. Add a stop and cooldown. Useful for mean-reversion algorithms.
MFI Oversold and Overbought
Buy when MFI signals capitulation and sell when MFI becomes overbought. Add a time stop. Keeps signals explainable for systematic testing.
Moving Averages-Based Rebalancing
Rebalance a portfolio to target weights on a schedule with drift thresholds. A disciplined algorithm for long-horizon execution.
Market Leader Breakout
Enter when price breaks above a recent high with confirmation. Exit on trailing stop or risk cap. A clean algorithm for momentum regimes.
EMA Crossings with RSI
Enter on an EMA cross only when RSI confirms strength. Exit on crossback or trailing logic. Filters weak signals and reduces churn during chop.
Bollinger Band Below Price with RSI
Combine band signals with RSI confirmation to reduce false positives. Add a stop and cooldown. Useful for mean-reversion algorithms.
MFI Oversold and Overbought
Buy when MFI signals capitulation and sell when MFI becomes overbought. Add a time stop. Keeps signals explainable for systematic testing.
Moving Averages-Based Rebalancing
Rebalance a portfolio to target weights on a schedule with drift thresholds. A disciplined algorithm for long-horizon execution.
Grid Trading
Run a grid on a liquid pair inside a defined range. Pause if conditions break. A structured algorithm for sideways markets.
Buy the Dips
Accumulate after controlled pullbacks and take profit at preset levels. Use cooldowns. A baseline algorithm for range-to-trend transitions.
Dip Recovery TWAP & RSI
Scale in using TWAP after an oversold signal, then exit as RSI normalizes. Add a volatility filter. Smooths entries when signals are noisy.
Bollinger Band Below Price
Enter only when price deviates beyond a band and exit as it mean-reverts. Add a stop and cooldown. A measurable range algorithm.
Ichimoku Cloud with MACD
Enter when Ichimoku and MACD align, then exit on breakdown. Use strict sizing. A structured template for trend entries.
Features and Benefits
Visual representation demonstrating how automated trading eliminates emotional decision-making in investments
Debug the system, not your emotions
When results drift, use logs to isolate what changed. Debug one variable at a time so improvements are measurable.
Chart illustrating Dollar-Cost Averaging strategy and automated scheduling capabilities
Use a smaller set of signals
Too many indicators can conflict. Use a small set with clear intent so each bot stays explainable.
Visual representation of multiple trading bots operating across different markets and assets
Version everything
Save versions before edits, then compare outcomes. Clean versioning prevents messy experiments and false conclusions.
Visual representation of trading terminals interface showing charts and exchange connections
Respect volatility
When volatility spikes, reduce sizing and widen filters. A good bot portfolio adapts by tightening risk, not trading more.
Create StrategyRun portfolios across venues
If you want Cryptocurrency Trading Bots you can trust, keep logic interpretable and exits explicit. Let automation run checks, then focus on iteration.
FAQ
Frequently Asked Questions
What are Cryptocurrency Trading Bots on Coinrule?
Do I need to code Cryptocurrency Trading Bots?
How do I test Cryptocurrency Trading Bots safely?
Which exchanges support Cryptocurrency Trading Bots?
How do I manage risk with Cryptocurrency Trading Bots?
Can I get alerts from Cryptocurrency Trading Bots?
What makes Coinrule useful for Cryptocurrency Trading Bots?
What Users Say
This section displays customer reviews, ratings, and testimonials from traders who use our platform.
4.3
Excellent 4.3
Trustpilot
Emeka N.Versioning made iteration clean and calm.
Ingrid H.Logs show exactly what triggered, and why.
Rafael T.Once I stopped adding indicators, results improved. I changed one threshold weekly, compared versions, and learned what the bots were doing.
Sakura Y.Demo testing exposed my weak exits early, so I fixed the rules before I risked real money.
Omar Z.It feels like engineering now: hypotheses, logs, and small edits instead of emotional tweaks.
Bianca F.I used to rewrite rules daily. With risk caps and clear logs, my bots became stable, and weekly reviews drove real improvements.
Additional Benefits
Choose a cadence
Decide how often rules should check: faster for active setups, slower for calmer investing. Keep cadence stable so results are comparable.
Avoid overfitting
Keep conditions simple: one filter, one trigger, one exit plan. Too many signals can create fragility and constant tweaking.
INSTITUTIONAL
Pause during major events
If you cannot explain your maximum risk, add limits until you can. Constraints make automation easier to trust.
Pause during major events
Pause automation during major news, then resume when volatility settles. You keep control without rewriting your strategy.
Pause during major events
Review logs weekly and change one variable. Routine improvements beat reactive edits after one trade.
Start small, then scale
Start with one bot, then expand after review. Gradual scaling keeps execution understandable and manageable.
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