Build a rules-based approach to AI-themed markets with Coinrule. Automate buys, sells, DCA and hedges across major exchanges with clear risk limits.
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Instead of reacting to headlines, AI economy investing works best when entries and exits follow clear triggers. Coinrule automates rules across Binance, Coinbase, OKX and Kraken while you keep custody on the exchange. Set conditions like buy 1% when price drops 4% in 24 hours, then take profit at 6% and trail by 2%. You can run the same logic on tokens such as FET, RNDR or ARB and track results in one dashboard.
Traders often like the AI theme but struggle with timing and position sizing. The platform turns your thesis into if-this-then-that logic, so you can test ideas before committing more capital. Use alerts and rule logs to see exactly why an order fired, then iterate without guesswork. When volatility spikes, automation keeps your plan consistent.
For thematic exposure, many users prefer a small basket rather than one token. You can allocate targets like 40% BTC, 30% ETH and 30% AI-related assets, then let the system rebalance weekly or monthly. Add guardrails such as max 10% per asset and a portfolio stop if drawdown exceeds 8%. This approach reduces single-coin risk while staying aligned with your view.
Theme Baskets And Rebalancing
Templates can rebalance by time, by drift, or by volatility. For example, if an AI token grows above 12% of portfolio value, sell the excess back to your target weight. If BTC dominance rises for two weeks, rotate a portion into BTC to reduce beta. These rules help you stay systematic even when the theme gets crowded.
Risk Controls First
Every strategy can include stop loss, trailing take profit and cooldown timers. You might cap daily buys to 2% of balance, pause after three consecutive losses, or require volume confirmation before adding risk. Coinrule keeps execution rule-based so you can focus on research and portfolio design.
Portfolio Rebalance
Rebalances a basket to target weights weekly. Sells positions that drift more than 5% from target and buys laggards. Adds a max allocation cap per asset.
DCA Accumulator
Splits a monthly budget into weekly buys. Adds an extra buy if price drops 3% in 12 hours. Pauses DCA when RSI rises above 70.
Buy the Dips
Buys when price falls 5% from a 7-day high. Scales in at -8% and -12%. Exits with a 6% take profit or a 3% stop loss.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a trailing stop. Suits 4H or daily charts.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1H candles. Sells when RSI recovers above 55 or price hits a 4% target. Adds a time stop after 24 hours.
Portfolio Rebalance
Rebalances a basket to target weights weekly. Sells positions that drift more than 5% from target and buys laggards. Adds a max allocation cap per asset.
DCA Accumulator
Splits a monthly budget into weekly buys. Adds an extra buy if price drops 3% in 12 hours. Pauses DCA when RSI rises above 70.
Buy the Dips
Buys when price falls 5% from a 7-day high. Scales in at -8% and -12%. Exits with a 6% take profit or a 3% stop loss.
MA Crossover with Volume Filter
Enters when MA20 crosses above MA50 and volume is above its 20-period average. Exits on the reverse cross or a trailing stop. Suits 4H or daily charts.
RSI Oversold Rebound
Buys when RSI drops below 30 on 1H candles. Sells when RSI recovers above 55 or price hits a 4% target. Adds a time stop after 24 hours.
Volatility Breakout
Enters when price breaks above the prior 24H range high. Confirms with ATR expansion to filter weak moves. Uses a tight stop, then trails after 3% profit.
Stop Loss and Trailing Take Profit
Adds a fixed stop loss to each entry and activates a trailing take profit after gains exceed 5%. Tightens the trail from 3% to 1.5% once profit exceeds 10%.
Risk-On/Risk-Off Macro Switch
Switches exposure by regime. If BTC drops more than 4% in 24 hours, reduces alt exposure and increases stable allocation. Re-enters when trend stabilizes.
Volatility Regime Switcher
Adjusts position size as volatility changes. Trades smaller when ATR is above its 30-day average and larger when volatility compresses. Helps keep risk steadier.
Breakout + Retest
Buys after a breakout, then waits for a retest of the level. Confirms with a higher low before entering. Exits at a 2R target or on a failed retest.
Unlike custodial apps, Coinrule connects via API keys so funds stay on Binance, Coinbase, Kraken, OKX or Bybit. You choose trade-only permissions and can revoke access anytime. This fits AI economy investing when you want automation without giving up custody. See /security for best practices before going live.
Once you have a thesis, translate it into triggers and sizing. Define what would make you buy more, take profit, or step aside. Example: buy 0.5% when price closes above MA50 on daily candles, then add 0.5% if it holds for 3 days. If price closes below MA50, reduce exposure by 25% and wait for a new signal.
Risk controls include max open positions, per-asset caps and portfolio-level stops. You can set a rule like stop all bots if total equity drops 7% from the weekly peak. Add cooldowns so the system waits 6 hours after a trade before re-entering. These constraints matter in fast-moving narratives where correlations jump suddenly.
After a few weeks, review logs and performance by rule, not by emotion. Clone the best performer, adjust one variable, and compare outcomes. Keep changes small, like moving RSI entry from 30 to 35 or tightening a trail from 3% to 2%. Systematic iteration beats constant strategy hopping.
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When the theme cools off, trend filters help you avoid dead zones. Use an MA cross or Supertrend to require an uptrend before adding exposure. If trend flips, rotate into BTC or stablecoins until conditions improve. This keeps the basket responsive without constant manual intervention.
Start with one or two indicators and a clear time frame. For example, trade only on 4H candles and ignore noise on lower time frames. If you add a filter, keep it simple, like volume above its 20-period average. Complexity should earn its place through better consistency, not just more rules.
Use fixed fractions like 0.5% to 2% per entry and avoid doubling down aggressively. A capped ladder can scale in at predefined levels, then stop adding after three fills. Combine that with a portfolio drawdown limit to avoid theme-wide correlation hitting you twice. Boring sizing is often the edge.
Decide in advance how you will realize gains. A simple plan is partial exits at 4%, 8% and 12%, then a trailing stop for the remainder. This reduces regret and helps avoid round-tripping winners. The engine executes the plan even when you are offline.
If liquidity or access is better on-chain, route trades through smart accounts with session keys and limited permissions. Orders can be routed to optimal pools via Li.fi while you keep self-custody. This helps when you want exposure without moving everything to a centralized venue. See /onchain for the setup flow.
Pick 3-5 assets, set target weights, and start with weekly DCA plus a portfolio stop. Add one trend filter and one exit rule, then run it for 30 days before changing anything. You learn faster from clean data than from constant tweaks. Coinrule makes the workflow repeatable.
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