Build institutional-style automation with AI hedge fund software in Coinrule. Deploy rule-based strategies, manage risk, and execute across major venues from one dashboard.
410k+
users building rules
1.2M+
strategies created
18+
Exchanges Connected
Instead of stitching together scripts, dashboards and alerts, Coinrule gives you AI hedge fund software that turns ideas into repeatable execution. Connect Binance, Coinbase, OKX or Hyperliquid, set rules, and let the engine monitor markets 24/7. Keep control with non-custodial connections and clear logs for every action.
Traders start with a simple thesis and translate it into conditions, sizing and exits. For example, buy 1 percent of balance if price drops 5 percent in 4 hours, then place a 2.5 percent stop loss and a 6 percent take profit. Add time filters, cooldowns and max positions so the system behaves like a disciplined desk.
Every strategy needs limits before it needs complexity. Set portfolio exposure caps, per-asset allocation ceilings and kill switches that pause all rules when drawdown hits a threshold. Use trailing stops that tighten from 3 percent to 1.5 percent once profit exceeds 10 percent, so winners are protected without constant supervision.
Execution And Controls
Run the same logic across spot and perps while keeping each venue isolated by API permissions. The platform tracks open positions, pending orders and rule triggers in real time, so you can audit behavior quickly. This makes it easier to scale from one market to a diversified book.
Non-Custodial By Design
Funds stay on your exchange or on-chain account while Coinrule only sends the orders your rules authorize. Use least-privilege API keys, and rotate them anytime without changing your strategy logic. For on-chain automation, smart sessions can limit what the system is allowed to do.
Market-Neutral Factor Hedge
Build a long-short basket with equal dollar exposure. Enter when spread Z-score exceeds 2 on 4H data. Exit on mean reversion below 0.5 and trail stops at 2 percent.
Stat Arb Basket Neutral
Open offsetting positions when correlation breaks and the spread widens. Use 1H candles with a Z-score trigger above 2.2. Close on reversion or after a 24H time stop.
Pairs Trading Cointegration
Trade two assets as a pair when the ratio deviates from its mean. Enter at 2 standard deviations on 4H data. Exit at the mean or on a 3 percent pair stop.
Volatility Regime Switcher
Switch between trend and mean reversion based on ATR percentile. Above 70, trade breakouts; below 30, trade reversion. Use separate stops and cooldowns per regime.
Risk Parity Allocator
Rebalance allocations so each asset targets similar volatility contribution. Check daily and adjust when drift exceeds 3 percent. Add a max leverage cap for perps venues.
Market-Neutral Factor Hedge
Build a long-short basket with equal dollar exposure. Enter when spread Z-score exceeds 2 on 4H data. Exit on mean reversion below 0.5 and trail stops at 2 percent.
Stat Arb Basket Neutral
Open offsetting positions when correlation breaks and the spread widens. Use 1H candles with a Z-score trigger above 2.2. Close on reversion or after a 24H time stop.
Pairs Trading Cointegration
Trade two assets as a pair when the ratio deviates from its mean. Enter at 2 standard deviations on 4H data. Exit at the mean or on a 3 percent pair stop.
Volatility Regime Switcher
Switch between trend and mean reversion based on ATR percentile. Above 70, trade breakouts; below 30, trade reversion. Use separate stops and cooldowns per regime.
Risk Parity Allocator
Rebalance allocations so each asset targets similar volatility contribution. Check daily and adjust when drift exceeds 3 percent. Add a max leverage cap for perps venues.
Volatility Targeted Trend
Follow trend with position size scaled to a volatility target. Enter on a daily MA crossover and size down when ATR expands. Exit on crossback or a trailing stop.
Funding Rate Hedge
Hedge exposure when funding turns expensive. If funding exceeds 0.03 percent, reduce longs and add a hedge. Remove the hedge when funding normalizes below 0.01 percent.
Perps Basis Arbitrage
Look for basis dislocations between spot and perps. Enter when basis exceeds your threshold and liquidity is sufficient. Exit when basis compresses or after a fixed holding window.
Portfolio Rebalance
Keep target weights across a basket with tolerance bands. Rebalance weekly or when any asset drifts more than 5 percent. Add a cash buffer rule to avoid overtrading.
SPY/VIX Risk Sentinel
Use a risk-on/risk-off switch based on volatility signals. When a VIX proxy rises above a threshold, reduce exposure and tighten stops. When it falls, restore allocations gradually.
Templates cover trend, mean reversion, hedging and allocation so you can start from proven structures. Clone a strategy, change one variable, and compare results without rewriting anything. That workflow mirrors how systematic teams iterate: small changes, clean logs and controlled risk.
AI hedge fund software should not be a black box, and Coinrule keeps the decision logic explicit. Use AI-assisted idea generation and optimization to propose parameters, then lock them into rule-based execution you can audit. For example, test RSI below 30 on 1H with a 200-period MA filter, then deploy the best variant with fixed risk limits.
Connect to Binance, Kraken, Bybit and Bitget for centralized execution, or route on-chain trades through smart accounts. Separate strategies by venue, asset group or risk bucket, then monitor everything from one interface. If you need to pause a single rule or the whole book, you can do it instantly.
After launching, you will care about monitoring, permissions and repeatability. Use shared workspaces, strategy naming conventions and consistent sizing rules so changes are traceable. Export activity logs for reviews, and set alerts when a rule triggers more than N times per hour to catch runaway behavior early.
Launch BotFAQ
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Rather than moving funds into a third party, you keep custody and delegate only execution. API permissions can be scoped to trading only, and you can revoke access instantly. That separation helps you operate with tighter operational risk.
For decentralized execution, smart accounts can run strategies with session keys that limit actions and duration. Routing can search liquidity across pools to reduce slippage. This is useful when you want automation without giving up self-custody.
Good systems improve through review, not vibes. Track triggers, fills and outcomes, then adjust one parameter at a time. If a rule triggers 12 times in an hour, you can spot it quickly and add a cooldown or tighter filter.
Use fixed percent sizing, volatility-aware sizing or capped pyramids depending on the strategy. A simple rule like risk 0.5 percent per trade with a 2 percent stop keeps losses bounded. Combine that with max concurrent positions to avoid hidden leverage.
Separate signal generation from execution, then automate the execution first. Start with one or two strategies you understand, and only then add complexity like hedges and regime filters. Over time, your playbook becomes a repeatable process.
Pick a template, connect an exchange, and set three numbers: entry trigger, stop loss and take profit. Run it small, review the logs, then scale gradually. The platform is designed to make iteration fast and disciplined.
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