Build a rules-based approach to robotics and automation themes with Coinrule. Automate DCA, risk limits and rebalancing across major venues in minutes.
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Instead of reacting to headlines, Robotics sector investing can be run like a process. Coinrule lets you define rules for entries, exits and position sizing, then executes them consistently across Binance, Kraken, OKX and Bybit.
Traders often like the robotics narrative but struggle with timing and discipline. With Coinrule you can automate a basket approach, set allocation caps and schedule buys so you do not overcommit after a big green week. Use indicator triggers like RSI, moving averages and volatility filters to avoid chasing. You can also add time-based logic, such as only adding exposure on Mondays or after a weekly close. See /automated-trading for the building blocks.
When volatility spikes, rules keep you consistent. For example, you might buy 2% of your USDT balance if a token drops 5% in 4 hours and RSI(14) is below 35 on the 1-hour chart. Another rule can take partial profit at +8% and trail the rest with a 3% trailing stop. A third can pause new entries if total drawdown exceeds 6% in 24 hours. These guardrails are easy to test and adjust over time.
Theme To Basket Execution
Create a list of robotics-adjacent assets and apply the same risk rules to each. Coinrule can run identical logic per asset, or weight positions differently, such as 40% core, 40% growth and 20% high-vol. You keep control of sizing and frequency.
Risk Controls First
Add max allocation limits, cooldown timers and stop conditions so one bad week does not dominate results. The platform logs every action, making it easier to review what happened and why.
Portfolio Rebalance
Rebalance a basket to target weights weekly. Add to underweight positions and trim overweight ones. Useful for keeping exposure aligned after big moves.
DCA Accumulator
Buy a fixed amount on a schedule, such as $100 every week. Add an extra buy if price dips 4% from the 7-day high. Smooth entries during choppy trends.
Buy the Dips
Buy when price drops 5% from a recent high and RSI(14) is below 40 on 4-hour candles. Sell a portion after a 6% rebound. Designed for pullbacks in uptrends.
MA Crossover with Volume Filter
Enter when MA20 crosses above MA50 and volume is above its 20-period average. Exit on the reverse cross or a 3% stop. Helps avoid low-liquidity fakeouts.
Volatility Breakout
Buy when price closes above the prior 20-candle high and ATR expands. Set take profit at 10% and a trailing stop at 4%. Targets continuation after compression.
Portfolio Rebalance
Rebalance a basket to target weights weekly. Add to underweight positions and trim overweight ones. Useful for keeping exposure aligned after big moves.
DCA Accumulator
Buy a fixed amount on a schedule, such as $100 every week. Add an extra buy if price dips 4% from the 7-day high. Smooth entries during choppy trends.
Buy the Dips
Buy when price drops 5% from a recent high and RSI(14) is below 40 on 4-hour candles. Sell a portion after a 6% rebound. Designed for pullbacks in uptrends.
MA Crossover with Volume Filter
Enter when MA20 crosses above MA50 and volume is above its 20-period average. Exit on the reverse cross or a 3% stop. Helps avoid low-liquidity fakeouts.
Volatility Breakout
Buy when price closes above the prior 20-candle high and ATR expands. Set take profit at 10% and a trailing stop at 4%. Targets continuation after compression.
Stop Loss and Trailing Take Profit
Open on your entry signal, then place a fixed 2.5% stop loss. Trail profit by 3% once price is up 5%. A simple risk-first wrapper for many entries.
Bollinger Band Mean Reversion
Buy when price closes below the lower Bollinger Band and RSI is under 35. Sell when price returns to the middle band. Works best in range-bound conditions.
Supertrend Momentum
Enter when Supertrend flips bullish on 4-hour candles. Exit when it flips bearish or after a time stop of 10 candles. Keeps you aligned with directional moves.
Breakout + Retest
Buy after a breakout above resistance, then wait for a retest within 1% of the level. Exit at +9% or on a 3% stop. Reduces chasing late breakouts.
Minimum Variance Rebalance
Adjust basket weights toward lower volatility assets using recent variance. Rebalance monthly and cap any single asset at 25%. Aims to smooth portfolio swings.
On Coinrule you can run rules on centralized exchanges like Binance, Coinbase and KuCoin, and also use perps venues like Hyperliquid when you need hedges. API keys keep execution automated while your funds stay on the venue. For on-chain automation, smart accounts can route trades via Li.fi to find liquidity across supported networks. This setup helps you keep one playbook even as markets shift.
Rather than guessing trade size, set it as a percent of balance, like 1% per entry with a max of 8% total exposure. Add a cooldown, such as no new buys for 12 hours after a stop loss. You can also cap daily orders to avoid overtrading during noisy sessions. These controls matter most when a theme gets crowded and reversals get sharp.
If you want Robotics sector investing exposure without constant monitoring, automation helps you stick to your plan. Use scheduled DCA for baseline exposure, then add tactical rules for pullbacks and breakouts. A simple example: buy $250 weekly, add $100 if price is down 7% from the 14-day high, and trim 20% if price is up 12% in a week. Combine that with a portfolio rebalance every Friday to keep weights stable. You can build this in the rule editor without code.
After a month, export logs and review which triggers fired and which did not. Clone the best rule set, then adjust one variable at a time, like RSI threshold from 35 to 30. This keeps your process scientific instead of emotional.
Launch BotFAQ
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Hype cycles can push you into late entries and oversized positions. Use rules that require confirmation, like MA20 above MA50, before adding size. Add a time stop so losing trades do not linger for months. Most importantly, keep a max basket exposure so one narrative cannot sink the portfolio.
Different tokens move differently, so normalize decisions with percent moves and indicator thresholds. For instance, use a 4% dip trigger and RSI(14) below 35 across the basket, then size by volatility. This makes performance attribution cleaner when you review results.
Set real-time notifications for drawdowns, large fills and rule pauses. Alerts help you stay informed without watching charts all day. They also create a habit of reviewing changes before you increase size.
Start with a template, then adapt it to your risk tolerance and time horizon. Change one parameter per week, such as take profit from 8% to 10%, and track the impact. Over time you will build a personal library of strategies you actually understand.
Use exchange API keys with trading-only permissions and disable withdrawals. For on-chain execution, smart sessions can limit what a strategy can do and for how long. This keeps automation powerful but constrained.
Begin with one exchange, one basket and conservative sizing. Once the rules behave as expected, expand to more venues or add rebalancing and hedges. Consistency first, complexity second.
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