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Coinrule
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Set the rules once, then let systematic reinvestment run on schedule.

4.3
Excellent 4.3
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Reinvest, Rebalance, Repeat

Turn Payouts Into Scheduled Buys

Route new funds into your target assets with calendar rules, then layer in guardrails like max exposure per coin and cooldown timers. This keeps the process consistent even when markets move fast on Bybit or Kraken.

Guardrails For Income Strategies

Use stop-loss logic, trailing take-profit and portfolio limits to keep reinvestment from becoming uncontrolled averaging. The system is designed for repeatable execution, not impulse decisions.

Features and Benefits

Connect Where You Trade

For dividend-style workflows in crypto, Coinrule connects via API keys so funds stay on your exchange. Run the same rule set on Binance, Coinbase, Kraken, OKX or Bitget, and keep one dashboard for monitoring. You can separate strategies by account, asset group or risk profile. Alerts help you verify each execution and spot drift early.

Build A Reinvestment Policy, Not A Hunch

Dividend automation investing works best when you define what happens after every payout or deposit. You might set: reinvest 70% into BTC and ETH, keep 30% in stablecoins, and rebalance every 14 days if either core asset moves more than 6% versus the other. Add a rule that pauses new buys for 48 hours after a 10% daily candle. These constraints turn a good idea into a repeatable process you can stick with.

Risk Controls That Match Income Goals

Risk controls include position caps, time stops and layered exits. For example, set a max allocation of 12% per asset, then trigger a trim of 2% if it exceeds 14%. Combine a trailing take-profit with a hard stop so gains are protected while downside stays defined. If you prefer smoother behavior, use smaller, more frequent orders and a volatility filter to avoid buying into spikes. The goal is consistent execution with fewer surprises.

When To Use On-Chain Execution

If you want to automate swaps or rebalancing on decentralized venues, Coinrule can execute on-chain using smart accounts. Session keys limit permissions, and routing finds efficient liquidity paths. This is useful when your strategy depends on on-chain assets or you prefer self-custody while still automating actions.

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
Lars H. reviewer profile iconLars H.
Consistency beats emotion every time.
Priya K. reviewer profile iconPriya K.
Allocations stay tight, even on busy weeks.
Emma T. reviewer profile iconEmma T.
I was skeptical about bots, but the audit logs made every action clear and easy to refine over time.
Diego R. reviewer profile iconDiego R.
Rebalance triggers are precise, and caps stop me from chasing hype.
Yuki T. reviewer profile iconYuki T.
I check charts less, and the rules still run.
Amara N. reviewer profile iconAmara N.
I used to reinvest at random. Now schedules, limits and exits execute the same way each time, so I can review results instead of guessing.

Additional Benefits

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Design Your Rules Like A Checklist

Start by writing a simple policy: what to buy, how often, and what to do when price moves against you. Then translate it into two or three rules with clear thresholds. Keep the first version boring and measurable. Once it behaves as expected, add one enhancement such as a volatility pause or a trend filter.

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Use Multiple Timeframes On Purpose

Many investors mix a slow schedule with a faster risk signal. A weekly buy can coexist with a 4-hour RSI filter or a daily MA trend check. This avoids overreacting to noise while still responding to regime changes. The key is to keep each condition explicit and testable.

Coinrule Bot Algorithmic Trading Strategies for crypto and stocks

Avoid Overlapping Bots

If two strategies can buy the same asset on the same day, you may unintentionally double exposure. Use allocation caps, cooldowns and naming conventions to keep responsibilities separate. A good pattern is one bot for scheduled buys and another for risk exits only. That separation makes troubleshooting much easier.

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Know What To Measure

Track drift from target weights, average entry price and maximum drawdown per strategy. Compare performance before and after adding a filter, not day to day. Use the execution history to confirm that each trigger fired when expected. Measurement turns automation into a process you can improve.

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Scale Up With Limits

Increase size only after the rules behave correctly through different market conditions. Raise order amounts gradually and keep a maximum daily spend. Consider adding a global kill switch that pauses all strategies if total portfolio drawdown exceeds a threshold you choose. Scaling is safer when it is systematic.

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