Impulse MACD enhanced

This indicator is designed to provide robust trade entry signals by combining multiple technical filters. Here’s a summary of its key components:

Impulse MACD Calculation:
Uses a Zero-Lag EMA (ZLEMA) based approach to generate a momentum indicator (with a signal line and histogram) that identifies shifts in market momentum.

Simulated Higher Timeframe (HTF) Trend Filter:
Computes an SMA over a multiplied period to simulate a higher timeframe trend. It requires the price to be in line with this broader trend before signaling an entry.

RSI Filter:
Ensures that for bullish entries the RSI is above a set threshold (indicating momentum) and for bearish entries it’s below a threshold.

ADX Filter:
Uses a manually calculated ADX to confirm that the market is in a strong trend (ADX > 30) to reduce false signals in weakly trending or sideways markets.

Volume Filter:
Compares the current volume to a 20‑bar SMA of volume, requiring volume to be significantly higher (by a user-defined percentage) to confirm the strength of the move.

VWAP Confirmation:
Uses the Volume-Weighted Average Price as an extra layer of confirmation: bullish signals require the price to be above VWAP, bearish signals below.

Optional Long-Term & Short-Term MA Filters:
These filters can be enabled to ensure the price is trading above (or below) longer-term and shorter-term moving averages, further aligning the trade with the prevailing trend.

ATR Volatility Filter:
Checks that volatility (as measured by the ATR relative to price) is below a maximum threshold, which helps avoid taking trades in overly volatile conditions.

Price Action Filter:
Ensures that for a bullish signal the current close is above the highest high over a specified lookback period (and vice versa for bearish), indicating a clear breakout.

Signal Throttling:
Signals are limited to one every 10 bars to prevent excessive trading.

When all these conditions are met, the indicator outputs an entry signal for either a bullish or bearish trade.

This multi-filter approach aims to increase win rate by reducing false signals and aligning trades with strong, confirmed trends while filtering out noise.