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Coinrule
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Make your trading logic public in your own rules, then let automation execute it consistently.

4.3
Excellent 4.3
Trustpilot
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Transparent Rules, Not Hype

Shareable Logic With Auditable Steps

Rules stay readable: if price drops 5 percent in 4 hours, buy 2 percent of balance, then place a 3 percent stop loss. Add a second step that takes profit in two tiers, for example 4 percent and 8 percent. This keeps decisions consistent and easy to review.

Multi-Exchange Execution

Connect accounts via API keys and run the same automation across venues, or separate bots per exchange to isolate risk. You can pause, clone or schedule strategies while keeping a single view of exposure and open orders.

Features and Benefits

Control Risk Like A Portfolio Manager

Unlike hype-driven bots, this platform starts with clear constraints. Set a max position size per coin, a portfolio exposure cap, and a daily drawdown limit that pauses all rules. Add cooldowns so a strategy cannot re-enter for 30 minutes after an exit. These controls matter more than any single entry indicator. By defining guardrails upfront, you protect your capital from runaway losses during flash crashes or unexpected volatility. The system logs every trade with timestamps and conditions so you can audit behavior and refine your approach over time. If a strategy underperforms, the logs reveal exactly which trades hurt and why. This transparency lets you iterate quickly rather than guessing in the dark. Many traders consistently find that disciplined risk controls improve confidence even when individual signals produce mixed results.

Make The AI Part Practical

Public AI Trading becomes useful when you treat it as decision support, not a promise. Use intelligent automation to scan many markets, then express the final logic as rules you can test. For example, trigger only when RSI crosses below 30 on 1-hour candles while MA100 stays above price, then exit when RSI exceeds 55. This structured approach keeps your strategy transparent and auditable. If results disappoint, you can pinpoint exactly which condition failed.

Operate Across Exchanges With One Workflow

On this system you can run the same playbook on OKX, KuCoin, Bitget and Hyperliquid, while keeping separate risk limits per venue. If liquidity differs, adjust order types and size by exchange. A unified dashboard helps you spot duplicated exposure when multiple bots target correlated assets. This multi-exchange design lets you compare fills and fees across venues while maintaining consistent strategy logic. Over time, you learn which exchanges work best for your style without fragmenting your workflow.

Start With Templates, Then Customize

Templates give you a working baseline in minutes. Clone one, change the timeframe, and add your own filters like volume, trend strength or a time stop. Save versions so you can compare results without losing the original logic.

FAQ

Frequently Asked Questions

Trader Reviews

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.
Clear rules keep me disciplined every day.
Jason C. reviewer profile iconJason C.
Finally, my entries are consistent.
Lars H. reviewer profile iconLars H.
I tested three variants in a weekend and kept the one with the cleanest logs and lowest drawdown.
Priya K. reviewer profile iconPriya K.
Risk limits saved me during a dump, pausing bots before I could panic into bad trades.
Diego R. reviewer profile iconDiego R.
I was skeptical about automation, but the audit trail showed exactly why each order fired. That transparency changed how I trade.
Yuki T. reviewer profile iconYuki T.
Running the same strategy on two exchanges exposed fee differences quickly, and the tweaks improved my net results over a month.

Additional Benefits

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Build A Repeatable Research Loop

After you pick a hypothesis, turn it into one rule set and one control variant. Change only one variable, like RSI 30 vs 35, and keep position sizing identical. Review results weekly and retire rules that do not meet your metrics. This disciplined iteration prevents you from chasing random wins and helps you identify what actually contributes to performance. By isolating changes, you build a clearer picture of your edge over time.

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Use Guardrails For Real Market Conditions

When volatility spikes, widen stops or reduce size rather than disabling everything. Add a filter that blocks new entries if ATR doubles versus the 20-day average. These small constraints often improve survival more than chasing new signals. By adapting to changing conditions, you give your strategy room to breathe without abandoning it at the first sign of turbulence. Consistent risk management builds resilience over many trades.

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Separate Alpha From Execution

Good ideas fail with sloppy execution. Automate order placement, exits and re-entries so your edge is not diluted by hesitation. Keep discretionary decisions limited to research and parameter updates.

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Keep Correlation Under Control

Many tokens move together, especially during risk-off moves. Set a rule that limits total exposure to one sector, or blocks new buys when BTC drops more than 3 percent in an hour. This reduces accidental leverage to the same market factor. By tracking correlation across your portfolio, you avoid situations where multiple bots trigger on the same underlying risk. Diversification at the rule level helps smooth your overall equity curve.

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Stay Flexible Without Overfitting

Rather than constantly rewriting strategies, use small parameter bands and time stops. If a bot has not reached a target within 48 hours, exit and wait for the next setup. Consistency comes from process, not constant tinkering.

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