Build rule-based portfolios aligned with climate themes. Automate entries, exits, DCA and rebalancing with Coinrule across Binance, Kraken, Coinbase and more.
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Instead of reacting to headlines, Climate tech investing can be expressed as clear rules you can pressure-test and run consistently. On Coinrule, you can automate a theme basket, set guardrails, and track performance across Binance, Coinbase, Kraken, Bybit and OKX.
Traders often want exposure to energy-transition narratives but struggle with timing and position sizing. Split capital across a basket, then let automation handle scheduled buys, profit-taking and drawdown limits. Keep a core allocation while adding risk only when conditions confirm momentum.
When markets gap, discipline matters more than conviction. Define hard stops, trailing exits and portfolio limits so one token cannot dominate risk. Add filters like volatility thresholds or trend checks to avoid buying into fast breakdowns.
Theme Basket Automation
Set a basket rule like: if BTC drops 6% in 24 hours, pause new buys for 12 hours. Add a second rule: if a basket token rises 12% from entry, take profit on 25% and move the stop to -3%. These constraints keep execution systematic during hype cycles.
Rebalance And Hedge
Rather than guessing tops, schedule a rebalance every Friday at 16:00 UTC to restore target weights. If funding turns extreme on perps, reduce exposure or hedge with a small short on Hyperliquid while keeping spot positions intact.
Portfolio Rebalance
Rebalance a basket back to target weights weekly. Add a 5% drift threshold before trading. Keeps theme exposure consistent without constant manual edits.
DCA Accumulator
Split capital into timed buys, like $100 every 3 days. Add a dip trigger to buy 1% extra if price falls 4% in 6 hours. Smooths entries during volatile periods.
Volatility Regime Switcher
Trade only when volatility stays within a defined band. Pause entries if ATR expands 30% week over week. Helps avoid chasing unstable breakouts.
MA Crossover with Volume Filter
Buy when a fast MA crosses above a slow MA and volume is above its 20-period average. Exit on the reverse cross or a 6% stop. Useful for trend confirmation.
Bollinger Band Mean Reversion
Buy when price closes below the lower band on 4-hour candles. Sell when price returns to the mid band or RSI exceeds 65. Targets snapbacks after oversold moves.
Portfolio Rebalance
Rebalance a basket back to target weights weekly. Add a 5% drift threshold before trading. Keeps theme exposure consistent without constant manual edits.
DCA Accumulator
Split capital into timed buys, like $100 every 3 days. Add a dip trigger to buy 1% extra if price falls 4% in 6 hours. Smooths entries during volatile periods.
Volatility Regime Switcher
Trade only when volatility stays within a defined band. Pause entries if ATR expands 30% week over week. Helps avoid chasing unstable breakouts.
MA Crossover with Volume Filter
Buy when a fast MA crosses above a slow MA and volume is above its 20-period average. Exit on the reverse cross or a 6% stop. Useful for trend confirmation.
Bollinger Band Mean Reversion
Buy when price closes below the lower band on 4-hour candles. Sell when price returns to the mid band or RSI exceeds 65. Targets snapbacks after oversold moves.
Stop Loss and Trailing Take Profit
Set an initial stop like -4% and activate a trailing take profit after +8%. Tighten the trail to 2% once profit exceeds 15%. Automates exits without watching charts.
Breakout + Retest
Enter after a breakout, then wait for a retest of the level. Confirm with a higher low before buying. Exit if price closes back below the level.
RSI Divergence Hunter
Look for bullish divergence where RSI makes higher lows while price makes lower lows. Enter on confirmation and exit near prior resistance. Works best with strict stops.
Risk-On/Risk-Off Macro Switch
Shift allocation between a theme basket and stablecoins based on trend signals. Go risk-off if BTC is below MA200. Helps manage exposure during broad drawdowns.
TWAP Execution Accumulator
Execute a larger buy in smaller slices over a set window. Split a $1,000 entry into 10 orders over 2 hours. Can reduce slippage in thin liquidity.
On this platform, you trade from your own exchange accounts while Coinrule connects via API keys for automation. Your funds stay on Binance, Kraken, Coinbase or KuCoin, and you can revoke access anytime. Logs and notifications make it easy to audit what the system did and why.
Unlike discretionary trading, rules can refuse bad setups automatically. Require RSI to recover above 35 on 4-hour candles before any new buy triggers. Block entries when price is below MA100 and daily volume falls for three sessions.
Separate the story from the execution. Define target weights, then let Coinrule rebalance when a position drifts more than 7% from target or on a fixed schedule. Add a rule that caps any single token at 20% of the basket, and another that moves 10% to stablecoins if basket drawdown hits 12%. Climate tech investing works best when these guardrails are explicit and repeatable. For more building blocks, see /automated-trading.
For users who prefer decentralized execution, Coinrule can run on-chain via smart accounts. Trades route through Li.fi to find liquidity across supported pools, while session keys limit permissions for safer automation. You keep self-custody and still get rule-based execution.
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Rules turn emotional decisions into repeatable steps. Once you define entries, exits and sizing, the platform executes the plan the same way every time.
Every bot needs limits. Set max allocation per asset, max daily buys and a portfolio stop that pauses all strategies after a defined drawdown. Guardrails matter more than perfect signals.
When a rule fires, you can get a real-time notification and review the context. Use alerts to audit behavior and refine parameters, not to override the system mid-trade. Over time, your change log becomes a playbook.
Separate research from execution. Update your basket monthly, then let automation handle the day-to-day. If you change constituents, do it with a scheduled rebalance rather than ad hoc swaps.
Pick one primary metric such as volatility, drawdown or participation in uptrends. Then tune rules around that goal with small adjustments. Avoid optimizing for a single backtest window.
Choose a template, connect an exchange and set three numbers: allocation, stop level and rebalance schedule. Start small, observe for a week, then scale only after behavior matches your intent.
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