Build rule-based inflation hedges with Coinrule. Automate signals, sizing and exits across Binance, Coinbase, OKX, Bybit and Kraken - no coding needed.
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Instead of reacting to every CPI print, Inflation trading strategies can be expressed as clear if-then rules in Coinrule. Example: if BTC drops 3% within 2 hours after CPI and RSI(1H) is below 35, buy 1% of balance, then set a 2.5% stop loss. Run the same logic across Binance, Coinbase, OKX or Bybit with consistent execution. Every trigger is logged so you can review outcomes and refine the next release.
Traders often map inflation surprises to risk-on or risk-off behavior, then automate the response. Track a proxy like DXY strength, bond yields or a volatility index and use it as a filter before entering. Combine indicator conditions with time windows so rules only activate in the first 30 minutes after a release. This keeps the system focused on the regime shift, not the noise.
A robust approach mixes trend exposure with defensive switches. Rotate from higher beta tokens into BTC, ETH or stablecoins when volatility expands, then rotate back when momentum stabilizes. Cap allocation per asset, set max daily trades and pause automation if drawdown exceeds a threshold. These guardrails matter most when narratives flip quickly.
Macro-Triggered Automation
Schedule a window for CPI, PPI or FOMC days and require confirmation before trading. Example: only trade if ATR(4H) is above its 20-period average and price breaks the prior day high by 0.8%. Add a cooldown so the bot cannot re-enter for 60 minutes after an exit. This reduces overtrading during whipsaws.
Multi-Venue Execution
Connect accounts on Kraken, Bitget or Hyperliquid and run the same rule set with venue-specific sizing. Use separate bots for spot and perps, and keep a unified view of exposure so one market does not double your risk. For on-chain execution, route swaps via Base or Arbitrum with smart-account permissions.
Dollar Index Filtered Trades
Trades only when a DXY proxy trend matches direction. Enters on a breakout and exits on a momentum fade. Useful for macro-filtered risk-on or risk-off periods.
Risk-On/Risk-Off Macro Switch
Switches between a risk basket and a defensive basket using volatility and trend filters. Rebalances on a schedule and enforces max exposure per asset. Built for regime shifts.
Portfolio Rebalance
Rebalances to target weights weekly or monthly. Uses a 3% drift band before trading to reduce churn. Helps keep hedges sized as markets move.
Volatility Regime Switcher
Detects high vs low volatility using ATR or Bollinger Band width. Uses tighter stops in high vol and wider stops in calm markets. Can pause entries when conditions are unstable.
Funding Rate Hedge
Adds a hedge when funding turns extreme against your position. Reduces leverage or shifts to spot when perps get crowded. Exits the hedge when funding normalizes.
Dollar Index Filtered Trades
Trades only when a DXY proxy trend matches direction. Enters on a breakout and exits on a momentum fade. Useful for macro-filtered risk-on or risk-off periods.
Risk-On/Risk-Off Macro Switch
Switches between a risk basket and a defensive basket using volatility and trend filters. Rebalances on a schedule and enforces max exposure per asset. Built for regime shifts.
Portfolio Rebalance
Rebalances to target weights weekly or monthly. Uses a 3% drift band before trading to reduce churn. Helps keep hedges sized as markets move.
Volatility Regime Switcher
Detects high vs low volatility using ATR or Bollinger Band width. Uses tighter stops in high vol and wider stops in calm markets. Can pause entries when conditions are unstable.
Funding Rate Hedge
Adds a hedge when funding turns extreme against your position. Reduces leverage or shifts to spot when perps get crowded. Exits the hedge when funding normalizes.
Volatility Breakout
Buys or sells when price breaks a defined range with rising volatility. Confirms with volume or a candle close to reduce fakeouts. Exits with a trailing stop to ride trends.
MA Crossover with Volume Filter
Enters when a fast MA crosses above a slow MA and volume is above its average. Exits on crossback or a fixed stop. Fits sustained, macro-driven trends.
Bollinger Band Mean Reversion
Buys near the lower band and sells near the middle or upper band. Adds a time stop if price does not revert within N candles. Best for choppy consolidation.
Stop Loss and Trailing Take Profit
Sets an initial stop loss, then trails profit once price moves in your favor. Can tighten from 3% to 1.5% after a 10% gain. Helps protect wins during reversals.
DCA Accumulator
Splits buys into scheduled tranches to reduce timing risk. Example: invest $500 monthly as four $125 weekly buys. Adds a dip trigger to buy extra after a 5% drop.
When volatility spikes, predefine what the system is allowed to do. Create one bot for the first 15 minutes after the release and another for the next 4 hours, each with different sizing. A practical rule is: if price whipsaws more than 2% in 10 minutes, stop trading for the day. Coinrule makes these constraints explicit so your plan survives stress.
Risk is not just entry timing, it is size. Scale orders by volatility, such as risking 0.5% of equity when ATR is high and 1.0% when ATR is low. Add caps like 25% max in a single asset and 60% max in correlated positions. This keeps a hedge from turning into a concentrated bet.
Separate signal from protection so automation stays stable through surprises. Run a trend follower for the primary move, then a defensive bot that cuts exposure if momentum breaks. Example: if BTC closes below MA200 on the daily chart, reduce risk assets by 30% and move to stablecoins. Re-enable risk only after two consecutive higher closes and a volatility contraction filter.
Start by cloning a template and changing one variable at a time. Paper trade to validate triggers, cooldowns and stops before going live. Review logs to see which conditions fired and how slippage affected outcomes.
Launch BotFAQ
Lars H.
Priya K.
Diego R.
Hana K.
Michael R.
Giulia C.
Macro narratives change slower than price, so focus on regime detection. Use a trend filter like MA200 to define the backdrop, then a volatility filter to set aggressiveness. If conditions conflict, do nothing. Avoiding bad trades is a feature.
Every trigger should be explainable after the fact. Coinrule keeps a history of signals, orders and outcomes so you can review performance by event type. Tag bots by purpose, such as hedge, trend or mean reversion, and compare them over time.
Inflation shocks often move many tokens together. Limit exposure to highly correlated assets and avoid stacking similar bets across spot and perps. Consider a rule that reduces total risk if BTC and ETH both break support on the same day. Diversification only helps when it is real.
Stablecoin allocation can be an active decision, not a default. Rotate into stables when trend breaks, then redeploy gradually with DCA when conditions improve. You can automate a 10% weekly redeploy until targets are reached. This keeps you engaged without forcing perfect timing.
Start with a template, then add one macro filter and one risk rule. Next, split strategies by timeframe, such as 1H for event response and 1D for regime. Keep parameters simple enough to maintain. Complexity should earn its place with evidence.
Connect your exchange, pick a template and encode risk limits before the next data print. Paper trade first, then go live when behavior matches your plan. Coinrule is built for systematic execution, not constant manual clicking.
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