Automate tokenized property entries, exits and risk controls with Coinrule. Run rule-based strategies across Binance, Coinbase, Kraken, OKX and on-chain routes.
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Instead of reacting to every headline, Tokenized real estate strategies can run on clear triggers and predefined risk limits. Coinrule automates buys, sells and rebalances across Binance, Coinbase, Kraken and more while you keep custody. Set conditions like \"buy 2% if price drops 5% in 24h\" and let the engine execute consistently.
Traders often treat property-linked tokens like a theme trade, but the edge comes from repeatable execution. Use indicator rules such as RSI, moving averages and trend filters to avoid chasing pumps. Schedule checks every 15 minutes, run only during high-liquidity hours and log every action for review.
On this platform you can run the same logic on centralized venues and on-chain routes. For example, you might trade on OKX or Bybit, then mirror exposure on an EVM chain using a smart account. Coinrule supports on-chain execution on Base, Arbitrum and Binance Smart Chain with routing via Li.fi to seek better liquidity.
RWA Risk Controls
Risk controls are first-class: cap position size, limit daily loss and pause rules after consecutive stops. Example: if drawdown hits 3% in a day, stop related rules for 12 hours. Add a trailing take profit that tightens from 6% to 3% once price is up 10%.
Rule Templates
Start from templates, then adapt them to your token universe, timeframes and liquidity constraints. Clone a strategy, change the pair list and keep the same risk module. Use alerts and logs to validate behavior before scaling allocation.
Portfolio Rebalance
Rebalances weekly back to target weights across selected tokens. Uses a 2% drift threshold to reduce churn. Helpful for keeping a thematic sleeve aligned.
Buy the Dips
Buys after a 4% dip from a 24h high with a cooldown timer. Takes partial profit at +6% and trails the rest. Built for choppy cycles.
Optimised RSI and MA Strategy
Buys when RSI(14) is below 35 and price holds above MA200 on 4h candles. Exits when RSI rises above 65 or MA200 breaks. Adds trend bias to oversold entries.
Stop Loss and Trailing Take Profit
Sets a fixed stop at -3% and activates a trailing take profit after +5%. Trail distance starts at 2.5% and tightens to 1.5% after +12%. Keeps exits disciplined.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on 1h candles. Sells at the middle band and exits at the upper band. Adds a 24h time stop.
Portfolio Rebalance
Rebalances weekly back to target weights across selected tokens. Uses a 2% drift threshold to reduce churn. Helpful for keeping a thematic sleeve aligned.
Buy the Dips
Buys after a 4% dip from a 24h high with a cooldown timer. Takes partial profit at +6% and trails the rest. Built for choppy cycles.
Optimised RSI and MA Strategy
Buys when RSI(14) is below 35 and price holds above MA200 on 4h candles. Exits when RSI rises above 65 or MA200 breaks. Adds trend bias to oversold entries.
Stop Loss and Trailing Take Profit
Sets a fixed stop at -3% and activates a trailing take profit after +5%. Trail distance starts at 2.5% and tightens to 1.5% after +12%. Keeps exits disciplined.
Bollinger Band Mean Reversion
Buys when price closes below the lower Bollinger Band on 1h candles. Sells at the middle band and exits at the upper band. Adds a 24h time stop.
Breakout + Retest
Enters on a breakout above a 20-day high, then confirms with a retest hold. Places a stop below the retest low and targets 2R. Aims for clean trend starts.
Supertrend Momentum
Buys when Supertrend flips bullish on 4h candles with rising volume. Exits when Supertrend turns bearish or after a 10% move. Stays aligned with momentum.
DCA Accumulator
Splits a monthly budget into four weekly buys at a fixed time. Adds an extra buy if price is down 7% from the weekly open. Smooths entries across volatility.
MA Crossover with Volume Filter
Buys when MA20 crosses above MA50 and volume is 20% above its 10-day average. Exits on the cross back or a -4% stop. Filters weak signals.
Volatility Breakout
Enters when price breaks above an ATR channel using a 1.5x ATR threshold. Sets a stop at 1x ATR and targets 2x ATR. Designed for expansion phases.
Unlike large-cap majors, many RWA tokens trade with thinner books and wider spreads. Use Coinrule to restrict execution to pairs that meet your minimum volume and spread tolerance. You can also stagger entries, for example buying 0.5% of balance every 10 minutes for an hour instead of one market order. This reduces slippage and makes results easier to compare across venues.
Traders choose Coinrule when they want one playbook across multiple venues. Run the same strategy on Binance and KuCoin, or separate rules by exchange to account for fees and liquidity. Keep sizing consistent by using percentage-of-portfolio orders rather than fixed amounts. When you iterate, clone the rule and change only one variable so you can measure impact.
When the narrative shifts, you can rotate exposure systematically instead of guessing. Tokenized real estate can be treated as a sleeve inside a broader portfolio with caps and rebalancing rules. Example: if the sleeve exceeds 12% of total value, sell down to 10% and redistribute into stablecoins. Or, if BTC drops 6% in 6 hours, reduce risk by cutting this sleeve by 25% and pausing new entries for a day.
Every bot runs with permissions you control. On exchanges, Coinrule connects via API keys so funds stay in your account. On-chain, smart sessions can limit what a strategy can do and for how long. You can revoke access at any time.
Build StrategyFAQ
Marco P.
Sarah K.
Hiroshi Y.
Amara N.
James W.
Priya K.
Rather than relying on perfect timing, aim for repeatable processes. Define what counts as a dip, a breakout and a failed setup. Then let the system do the boring part, consistently. Your job becomes reviewing results and refining parameters.
Use limit orders where possible and add timeouts to avoid stale fills. Example: place a limit buy 0.4% below last price, cancel if not filled in 20 minutes, then reassess. For exits, ladder take profits at 4%, 7% and 10% to reduce regret. These mechanics matter more in thinner markets.
Keep your entry logic independent from your risk logic. You might use RSI for entries, but always enforce max allocation and a hard stop. This makes it easier to swap signals without rewriting the whole strategy. It also prevents one bad idea from dominating your portfolio.
Set notifications for failed orders, sudden spread widening and exposure breaches. If a token gaps 8% in minutes, get an alert and decide whether to pause the rule set. Alerts do not replace automation, they supervise it. That combination improves control.
Real-world asset tokens can behave differently across venues due to liquidity, fees and market hours. Start small, measure fills and expand only when execution looks stable. Avoid overfitting by changing one parameter at a time. Consistency beats complexity.
Choose a template, connect an exchange like Kraken or Coinbase and set clear limits before going live. Start with one pair, one timeframe and one risk module. Once results look stable, clone the rule and scale gradually. See /automated-trading for more building patterns.
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