All indicators

Zero Lag Trend Signals (MTF) V7

Oct 26, 2025

Static chart image
SignalsDashboardMoving AveragesVolatility

The Zero Lag Trend Signals (MTF) V7 indicator is a comprehensive trend-following strategy that utilizes a Zero Lag Exponential Moving Average (ZLEMA) combined with volatility-based bands to identify high-probability entry and exit points while minimizing lag. It is designed for medium to long-term trading horizons, focusing on capturing sustained directional moves with integrated risk management.

Usage

The Usage section focuses on identifying trend shifts and managing trades through the indicator's dynamic features.

  • Core Signals: A long signal is triggered when the price crosses above the ZLEMA plus the volatility band. Conversely, a short signal (if enabled) occurs when the price crosses below the ZLEMA minus the volatility band.
  • Trend Confirmation: Users can enable the ZLEMA Trend Confirmation filter, which requires the ZLEMA to show consecutive directional momentum (e.g., increasing for 4 bars) before an entry is validated. This is useful for filtering out noise in ranging markets.
  • Re-entry: For sustained trends, the "Re-Enter on Long Trend" setting allows the strategy to enter new positions if the price pulls back toward the ZLEMA and then resumes its upward momentum.
  • Performance Monitoring: The script offers a floating statistics table and trade log labels to visualize win rates, net P&L, and specific exit reasons directly on the chart.

Details

The indicator is built upon the Zero Lag Exponential Moving Average (ZLEMA) concept. The calculation involves:

  1. Determining a lag period: floor((length - 1) / 2).
  2. Applying a lag correction to the price: price + (price - price[lag]).
  3. Calculating the EMA of this lag-corrected price.

Volatility bands are derived using the highest Average True Range (ATR) over a specific lookback period, multiplied by a user-defined multiplier. This creates a dynamic boundary that adapts to market volatility, providing more robust signal generation than static moving average crossovers.

Settings

Main Calculations

  • Length: Controls the period for the ZLEMA calculation (Range: 70-7000).
  • Band Multiplier: Adjusts the width of the volatility bands relative to the ATR.

Entry Conditions

  • Use ZLEMA Trend Confirmation: Requires the ZLEMA to move in the trade direction for a set number of bars before entry.
  • Re-Enter on Long Trend: Allows the strategy to seek new entries during an existing bullish trend.

Short Trades

  • Allow Short Trades: Enables or disables bearish entry signals.

Dynamic TP/SL

  • Use ATR-Based Stop-Loss & Take-Profit: Switches from volatility-band stops to dynamic ATR-calculated levels.
  • ATR Length/Multiplier: Parameters for defining the distance of ATR stops and targets.
  • Use ATR Trailing Stop: Enables a ratcheting stop-loss that follows price movement.
  • Use Break-Even Stop-Loss: Automatically moves the stop-loss to the entry price once a specific Risk-Reward ratio is reached.
  • Use Trend-Based Take Profit: Closes positions when the price crosses a short-term EMA in the opposite direction.

FAQ

How do I use the Zero Lag Trend Signals (MTF) V7?

Apply the indicator to a trending asset, such as a major Forex pair or Crypto, preferably on higher timeframes like 4H or Daily. Use the volatility bands to identify trend breakouts and configure the ATR settings to match your risk tolerance.

Can I export my trade data?

Yes, the script includes an "Enable CSV Export" option in the Trade Data settings. This allows you to capture trade logs, including entry/exit prices and exit reasons, for external analysis.

How can I access Zero Lag Trend Signals (MTF) V7?

You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.

Free indicator

Get free access to this indicator on the platforms below.

TradingView
NinjaTrader
MetaTrader 4/5

Unlock the entire LuxAlgo Library

Every indicator, every strategy, full charts, and complete access to Quant — our AI agent.