Macro Regime 2EMA Pro Strategy [VIX-DXY] by ALCIVOOO
By ALCIVOOO
Performance Metrics
- Author: ALCIVOOO
- Symbol: BINANCE:BTCUSDT.P
- Timeframe: 8 hours
- Net P&L: +1,241.04 USDT (+12.39%)
- Win Rate: 64.9%
- Profit Factor: 1.186
- Max Drawdown: 629.55 USDT (5.92%)
- Total Trades: 191
Description
Macro Regime 2EMA Pro StrategyMacro Regime 2EMA Pro Strategy is a trend-following system that evaluates market direction not only through price action, but also through broader macro risk conditions.The strategy combines VIX (volatility), DXY (US Dollar strength), and optionally USDT Dominance with a dual EMA trend filter (EMA50 and EMA200) to identify more favorable trading environments.Strategy ApproachThis system does not focus on finding frequent entry signals.The objective is not to predict the market, but to participate only when conditions are aligned.The structure is built around four layers:Macro Regime → Permission to tradeTrend Filter → DirectionEntry → TimingExit & Risk → Actual performanceThis separation helps keep the system stable and avoids unnecessary complexity.Macro Regime EngineThe system evaluates market conditions using:VIX → market fear and volatilityDXY → dollar strength and capital flowUSDT Dominance → crypto liquidity directionEach component produces a state:Risk-On → bullish environmentRisk-Off → bearish environmentWarning → conflicting signalsNeutral → no clear directionThese states are combined using a simple voting mechanism.Trades are only allowed when macro conditions are aligned.Multi-Timeframe StructureThe strategy uses two timeframes:Main timeframe → defines the overall directionConfirm timeframe → filters the signalsThis structure helps reduce noise and avoid weak setups.All higher timeframe data is handled using confirmed values to prevent repainting.Price-Based Entry LogicEntries are intentionally simple:Price above both EMA50 and EMA200 → LongPrice below both EMA50 and EMA200 → ShortThis keeps the system aligned with the trend and avoids overfitting.Exit and Risk ManagementThis is the core of the strategy.The system includes:Initial stop loss to define riskTrailing stop to protect profits during trendsBreak-even to reduce risk after favorable movementOptional partial take profitOptional time-based exitThe goal is to keep losses controlled and allow winners to develop.Data ReliabilityHigher timeframe data is confirmed and non-repainting.Signals are generated on bar close.No visible-range or chart-dependent logic is used.This ensures consistency between backtest and live behavior.Alerts and AutomationThe strategy supports JSON-based alerts.It can be used with webhook and automated trading systems.By default, signals are triggered once per bar close.Use CasesBest suited for:BTC and ETHTrending altcoinsHigher timeframes such as 4H and aboveStocksThe strategy can also be used on equities, with some adjustments.USDT Dominance is generally not relevant in stock markets.VIX and DXY tend to have stronger influence.Stocks may have lower volatility and session gaps.For this reason, wider stops, higher timeframes, and a more patient approach are typically required.LimitationsThe strategy may struggle in:Sideways marketsLow volatility conditionsIlliquid assetsBacktest NotesResults depend on the selected asset, timeframe, and market conditions.Standard candles are recommended.Trading fees and slippage should be included.SettingsThe inputs are not fixed rules, but tools that shape how the system behaves.Tighter configurations result in fewer but more selective trades.Looser configurations increase activity but may also increase variability.Observing how the system behaves across different conditions is more useful than trying to optimize for a single result.General Settings PhilosophyThere is no single “best” configuration for this strategy.The goal is not to find the perfect setting for the past, but to build a structure that behaves consistently across different market environments.A common mistake is constantly adjusting parameters to fit historical data.While this may look good on past charts, it often does not hold up in live conditions.A more reliable approach is to observe how the system behaves across different scenarios.Strategy PhilosophyWe do not try to predict the market.We focus on participating only when conditions are aligned.The system emphasizes macro alignment, structural trend confirmation, and controlled risk.