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Coinrule
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Turn forecasts into disciplined orders, automatically.

4.3
Excellent 4.3
Trustpilot
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Predictive Signals, Not Hype

Build A Signal Stack In Minutes

On this platform you can combine indicators, price triggers and time windows into one decision flow. Example: if BTC drops 5 percent in 4 hours and funding is between -0.01 and 0.01, buy 2 percent of available balance, then stop out at 2.2 percent. Add a second rule that sells 25 percent of the position each time price rises 3 percent, 6 percent and 9 percent. These small, explicit conditions are what make automation reliable.

Execution Across Venues

Connect accounts on Kraken, KuCoin, OKX and Bitget, then run the same logic with venue-specific sizing and risk limits. Your funds stay on the exchange while Coinrule sends orders via API keys, and you can pause everything instantly if conditions change.

Features and Benefits

Backtest The Logic Before You Trust It

Rather than relying on a black box, validate each rule with historical data and clear assumptions. Test multiple timeframes, then compare how changes like RSI 30 vs 35 affect drawdown and trade frequency. Keep one variable fixed while you adjust another, so you learn what drives results. When you are ready, deploy the same rules live with alerts and audit trails.

Risk Controls That Keep Predictions Honest

Every bot needs limits, especially when signals look perfect in hindsight. Set max daily loss, max position size and a cap like 25 percent total exposure to alts. Add cooldowns such as no new entries for 6 hours after a stop loss. You can also require confirmation, like two consecutive closes above a level, to reduce noise trades.

Multi-Exchange Execution Without Extra Work

Templates and custom rules can run across multiple venues with consistent sizing logic. Use different quote currencies per exchange, or route perps strategies to Hyperliquid while keeping spot accumulation on Binance. Centralized dashboards show open positions, pending orders and performance in one place. This makes it easier to manage a portfolio without juggling tabs.

A Practical Way To Use AI Without Overfitting

Use intelligent tools to generate ideas, then force them into explicit conditions you can explain. If a model suggests momentum, express it as MA alignment, breakout levels and volatility filters. If it suggests mean reversion, encode it with bands, RSI and time stops. This keeps your approach testable and reduces the temptation to chase perfect backtests.

FAQ

Frequently Asked Questions

What Users Say

This section displays customer reviews, ratings, and testimonials from traders who use our platform.
4.3
Excellent 4.3
Trustpilot
Sofia G. reviewer profile iconSofia G.
Cleaner entries, fewer impulse trades.
Jason C. reviewer profile iconJason C.
Finally my rules run the same way every time.
Lars H. reviewer profile iconLars H.
Backtests matched live behavior closely, which made sizing decisions much easier.
Priya K. reviewer profile iconPriya K.
I was skeptical at first, but the logs showed exactly why trades fired and where my logic was weak.
Diego R. reviewer profile iconDiego R.
Stops and cooldowns actually held during volatility, so I stopped second-guessing every entry.
Yuki T. reviewer profile iconYuki T.
Running the same rules on two exchanges revealed slippage differences and improved my execution discipline over weeks.

Additional Benefits

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Connect, Configure, And Go Live

Start by linking an exchange account and selecting a template close to your idea. Adjust timeframe, thresholds and order size, then set global limits like max concurrent trades. Run in demo or small size first, and enable alerts for entries, exits and errors. When results look stable, scale gradually.

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Make Predictions Actionable With Confirmations

Predictions fail most often when you trade a single signal in isolation. Combine a trigger with a trend filter, then add a volatility check to avoid chop. Example: enter only if MA50 is above MA200 and ATR is rising, then require a close above resistance. These confirmations reduce false positives and make performance more repeatable.

Coinrule Bot Algorithmic Trading Strategies for crypto and stocks

Use Time Stops To Avoid Stale Trades

Not every trade should be held until a stop or target hits. Add a rule like exit after 36 hours if price has not moved at least 1.5 percent in your favor. Time stops can cut opportunity cost and keep capital available for better setups. They also reduce the tendency to widen stops emotionally.

Coinrule Bot - Automate profitable algorithmic trading strategies

Build A Research Loop You Can Maintain

Keep a simple change log: what you changed, why you changed it and what you expect to improve. Review performance weekly, not hourly, and focus on a few metrics like win rate, average loss and maximum drawdown. If a tweak increases trade count but worsens drawdown, revert quickly. Consistency beats constant tinkering.

Coinrule Trading Bot - Automated Trading for Bitcoin, Ethereum, Solana, DeFi and stocks using algorithmic trading strategies.

When To Use On-Chain Execution

If you want to automate trades on decentralized liquidity, you can use Coinrule on-chain execution on Base, Arbitrum or Binance Smart Chain. Smart accounts and session keys can limit permissions while keeping self-custody. Routing can optimize for liquidity across pools when markets fragment. Use on-chain rules when venue risk or token availability matters more than ultra-tight spreads.

Coinrule Bot - Automated Cryptocurrency trading platform

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