Automate tokenized asset strategies with Coinrule. Deploy rule-based entries, exits and rebalancing across Binance, Kraken, OKX and on-chain venues.
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Instead of chasing headlines, use Coinrule to manage Real world assets with repeatable, rule-based execution. Set triggers like buy 1% when price dips 4% in 24h, then take profit at 6% and trail by 2%. Run the same logic across Binance, Coinbase, Kraken or Bybit while keeping custody on your exchange or wallet.
Traders often treat tokenized markets like a story, but the platform turns them into conditions you can test. Combine price levels, RSI, moving averages and time filters to avoid impulse entries. For example, enter only when RSI(14) crosses below 30 on 4h candles and price is above MA200, then exit when RSI returns above 55. Backtest variations, then go live with the same rule set.
On this system, you can run strategies on centralized venues and on-chain routes without changing your workflow. Connect to OKX, Bitget or Hyperliquid for perps, or execute on Base and Arbitrum via smart accounts. On-chain trades route via Li.fi to seek efficient pools, while smart sessions limit permissions for safer automation. Logs and alerts keep every action auditable.
RWA Risk Controls
Risk controls include max position size, daily loss limits and cooldown timers after a stop. You might cap exposure at 15% per token, stop out at 2.5%, then block re-entry for 12 hours. Add volatility filters so rules pause when a 1h candle range exceeds 3%. These constraints help keep execution consistent during fast repricings.
Templates And Custom Rules
Start from proven templates, then adapt them to your market and timeframe. Clone a strategy, change indicator thresholds, and add a portfolio rule that rebalances back to target weights every Friday. When you are ready, schedule it to run 24/7 with notifications for fills, errors and drawdowns.
Portfolio Rebalance
Rebalance to target weights weekly and after large moves. If any asset drifts 6% from target, trade back to allocation. Add a max order size to reduce slippage.
Buy the Dips
Buy pullbacks like -3% in 12h with a cooldown to avoid overtrading. Take partial profits at +4% and +7%. Add a stop at -2.5% to cap downside.
RSI Oversold Rebound
Enter when RSI(14) drops below 30 on 4h candles while price stays above MA200. Exit when RSI crosses above 55. Optional trailing take profit activates after +8%.
Stop Loss and Trailing Take Profit
Set a fixed stop like -2% and a trailing take profit like 2% once price is +5%. Helps protect gains during spikes. Use position sizing to control risk.
Breakout + Retest
Buy after price breaks a prior high, then retests within 1% and holds for 2 candles. Take profit at +6% and trail by 1.8%. Skip entries when volume is below its 20-period average.
Portfolio Rebalance
Rebalance to target weights weekly and after large moves. If any asset drifts 6% from target, trade back to allocation. Add a max order size to reduce slippage.
Buy the Dips
Buy pullbacks like -3% in 12h with a cooldown to avoid overtrading. Take partial profits at +4% and +7%. Add a stop at -2.5% to cap downside.
RSI Oversold Rebound
Enter when RSI(14) drops below 30 on 4h candles while price stays above MA200. Exit when RSI crosses above 55. Optional trailing take profit activates after +8%.
Stop Loss and Trailing Take Profit
Set a fixed stop like -2% and a trailing take profit like 2% once price is +5%. Helps protect gains during spikes. Use position sizing to control risk.
Breakout + Retest
Buy after price breaks a prior high, then retests within 1% and holds for 2 candles. Take profit at +6% and trail by 1.8%. Skip entries when volume is below its 20-period average.
Bollinger Band Mean Reversion
Buy when price closes below the lower band and RSI is under 40. Sell at the middle band or when RSI exceeds 55. Add a time stop if no rebound within 24h.
Volatility Breakout
Enter when price expands beyond 2.5x ATR versus the 20-period average. Exit on a close back inside the channel. Set a daily max trades limit to reduce churn.
DCA Accumulator
Split buys into fixed intervals, like $125 weekly for 8 weeks, and pause if price is 5% above MA50. Add a take profit ladder at +5% and +10%. Keep a stop for downside control.
Supertrend Momentum
Enter when Supertrend flips bullish on 1h or 4h charts and price prints a higher high. Exit when Supertrend turns bearish. Add a trailing stop to ride trends longer.
Funding Rate Hedge
When funding turns extreme, open a small hedge to reduce carry risk. If funding exceeds 0.03% and trend weakens, hedge 20% of exposure. Close the hedge when funding normalizes.
Unlike manual trading, automation lets you separate research from execution. Build a rule once, then let it run while you focus on monitoring risk and improving inputs. Use alerts to review fills and adjust thresholds, not to chase candles. If you want a deeper overview of rule logic, see /automated-trading.
Every bot can run without handing over your funds. On exchanges, Coinrule connects via API keys with limited permissions. On-chain, smart accounts keep assets under your control while session keys restrict what automation can do. You can revoke sessions, rotate keys and pause all rules instantly.
Rules work best when they are specific. Try: buy 2% of balance if price drops 5% within 6h and RSI(14) is below 35, then sell 50% at +6% and trail the rest by 2%. Or: rebalance weekly, but only trade if spread is below 0.4% and volume is above its 20-day average. For trend exposure, enter when MA50 crosses above MA200 on daily candles and exit on the first cross back.
Templates, logs and portfolio views replace fragile manual tracking. Run the same logic on multiple pairs, then compare results by timeframe and rule version. When liquidity shifts, switch venues without rewriting your logic. Notifications keep you informed without constant chart watching.
Launch BotFAQ
Lars H.
Priya K.
Diego R.
Emma T.
Kenji M.
Amara N.
When narratives rotate, price can gap through levels quickly. A rules-first approach forces you to define what must happen before you act. That discipline matters more than perfect timing. Automation simply enforces the process you already believe in.
Start with smaller order sizes and scale only after you observe fills. Use percentage-of-balance sizing so exposure adapts as your account changes. If spreads widen, reduce size or pause. This keeps execution closer to your assumptions.
Set alerts for events that require decisions, not every tick. For example, notify when a stop triggers, when allocation exceeds 20%, or when a rule errors. Review weekly, then adjust one variable at a time.
Many traders blend a slow trend filter with faster entries. A common setup is MA200 as a regime check, then RSI or Bollinger Bands for timing. If the regime flips, the system can reduce risk automatically.
Clone rules instead of editing live ones blindly. Name versions by timeframe and key thresholds, then compare results over the same period. Disable the weaker variant and keep the winner.
Pick one pair, one timeframe and one risk model, then run it for a full market cycle. Keep stops and caps tight at first, and only expand after consistent behavior. Once stable, add rebalancing and a second venue for redundancy. The goal is repeatable execution you can trust.
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