Automate tokenized bond exposure with rule-based entries, exits and portfolio limits on Coinrule. Connect Binance, OKX, Kraken or Coinbase, or execute on-chain.
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Instead of watching spreads all day, Coinrule turns Tokenized bonds trading into clear if-this-then-that rules. For example, buy 2% when price dips 3% in 24 hours, then take profit at 4% and cut risk at 2%. Run the same logic across Binance, Coinbase, Kraken or on-chain routes. You stay in control while the system executes consistently.
These markets often behave differently from meme coins. Liquidity can be thinner, price can gap around news, and yield or redemption mechanics can affect demand. The platform helps you treat each position like a fixed-income sleeve with strict sizing, time windows and exit rules. You can separate long-term accumulation from short-term tactical trades to avoid mixing objectives.
Traders often want smoother returns and tighter drawdowns for RWA exposure. Build rules that cap allocation, pause after a losing streak, or only trade when volatility is below a threshold. Example: if 1-hour ATR rises above 2.5%, reduce order size by 50% and widen stops. Every action is logged so you can review what happened and iterate.
RWA Risk Controls
Risk controls include max position size, cooldown timers and multi-step exits. Example: sell 33% at +2%, another 33% at +4%, then trail the rest by 1.2%. Add a rule that pauses new entries for 6 hours after a 3% drawdown. These constraints help avoid overtrading when order books are shallow.
Self-Custody On-Chain
On-chain execution can run through a smart account so you keep self-custody while using session keys with limited permissions. Coinrule can route swaps via Li.fi to seek better liquidity across pools on Base, Arbitrum and Binance Smart Chain. You can restrict tokens, sizes and time ranges to reduce operational risk.
Portfolio Rebalance
Rebalance weekly to target weights between RWA tokens and majors. Add when allocation drifts 3% off target. Reduce exposure when volatility rises above your threshold.
DCA Accumulator
Split a fixed budget into daily buys at the same time. Add an extra buy if price drops 2% in 12 hours. Pause the schedule if price breaks below support.
Stop Loss and Trailing Take Profit
Enter on a breakout, then set a 1.8% stop loss. Take profit at 3% and trail the remainder by 1.1%. Designed to cap downside while letting winners run.
Range Bound Reversal
Buy near range support when RSI is below 35 on 4-hour candles. Sell near resistance or when RSI exceeds 65. Skip entries if price closes outside the range.
Bollinger Band Mean Reversion
Buy when price closes below the lower band on 1-hour candles. Exit at the middle band and use a tight stop if bands expand. Best in calm, sideways regimes.
Portfolio Rebalance
Rebalance weekly to target weights between RWA tokens and majors. Add when allocation drifts 3% off target. Reduce exposure when volatility rises above your threshold.
DCA Accumulator
Split a fixed budget into daily buys at the same time. Add an extra buy if price drops 2% in 12 hours. Pause the schedule if price breaks below support.
Stop Loss and Trailing Take Profit
Enter on a breakout, then set a 1.8% stop loss. Take profit at 3% and trail the remainder by 1.1%. Designed to cap downside while letting winners run.
Range Bound Reversal
Buy near range support when RSI is below 35 on 4-hour candles. Sell near resistance or when RSI exceeds 65. Skip entries if price closes outside the range.
Bollinger Band Mean Reversion
Buy when price closes below the lower band on 1-hour candles. Exit at the middle band and use a tight stop if bands expand. Best in calm, sideways regimes.
Volatility Breakout
Enter when price breaks the prior day high with rising volume. Use ATR-based stops and a time stop after 24 hours. Filter trades when volatility is already extreme.
MA Crossover with Volume Filter
Buy when MA20 crosses above MA50 and volume is above its 10-day average. Sell on the crossback or a fixed 2% stop. Helps avoid low-liquidity fakeouts.
Support and Resistance Bounce
Buy on a confirmed bounce at a key level with a 0.8% buffer. Take profit at the next resistance and trail after +2%. Cancel signals if the level breaks on close.
Mean Reversion with Z-Score
Enter when Z-score drops below -2 on 4-hour data. Exit when Z-score returns to 0 or after a 48-hour time stop. Add a hard stop to limit tail risk.
TWAP Execution Accumulator
Split a larger order into smaller slices over 2 hours. Only execute when spread stays under your limit. Reduces slippage when liquidity is uneven.
For centralized execution, connect via API keys and keep funds on your exchange account. Many traders run the same rule set on Binance and OKX, then compare fills and slippage. For on-chain routes, use a smart account and keep permissions scoped to the tokens you allow. Choose the venue that matches your liquidity needs and settlement preferences.
Rather than one big buy, use staged entries and predefined invalidation points. Example: buy 1% now, add 1% if price drops another 1.5%, and stop adding if it falls 4% from the first fill. Pair that with a time-based exit, such as closing any open trade after 7 days. This keeps the position from turning into an unplanned long-term hold.
Templates get you started, but performance comes from iteration. Review trade logs to see which triggers fire most often and where slippage appears. If a rule overtrades, add a cooldown or require a second confirmation like MA alignment. If exits are too tight, widen the trail only after profit exceeds a threshold, such as switching from 1% to 2% once you are up 5%.
Users often want clearer controls when trading yield-like assets. Set allocation caps per token and restrict trading hours. Keep separate strategies for long-term exposure and short-term hedges so reporting stays clean.
Launch BotFAQ
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On-chain routes can fit traders who want self-custody and transparent settlement. CEX execution can be better when you need deeper order books and simpler fee accounting. Many users run both: on-chain for longer-term exposure and CEX for tactical entries.
Treat these positions like a sleeve, not a lottery ticket. Cap any single token at 10% of portfolio, and cap total RWA exposure at 30%. If volatility doubles, automatically cut new order size in half. This keeps the approach aligned with a lower-variance goal.
Add a regime filter to reduce exposure when markets turn risk-off. For instance, if BTC drops 6% in 24 hours, pause new entries and tighten trailing stops to 0.9%. Predefine the response so you do not improvise under stress.
Use API keys with trading-only permissions and never enable withdrawals. Set notifications for failed orders, large fills and rule edits. Keep a kill switch rule that closes positions if daily drawdown exceeds 5%.
Start with a template, then change one variable at a time. Adjust thresholds, timeframes and exit logic based on what logs show. Save versions so you can roll back quickly. Over time, you build a playbook that fits your risk tolerance and liquidity reality.
Build one strategy, set strict limits, and let the engine execute while you focus on research. Whether you prefer exchange liquidity or on-chain self-custody, keep the workflow consistent. Explore templates, backtest ideas, and go live when you are ready.
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