Multi Timeframe Trend Agreement Arrow

The ultimate signal filter. Get clear, non-repainting arrows only when the trend on M1, M5, M15, and H1 timeframes are fully aligned, confirming strong momentum for scalping or short-term trades.

📜 Full Product Description

  • Non-Repainting Arrows: Built using precise closing price data ( rates_total - 1 and iBarShift ), ensuring signals are final and never shift or disappear after the bar closes. What you see is what you get.

  • High-Confidence Signals: Filters out noise by requiring agreement across up to four higher timeframes simultaneously, resulting in higher-probability entries.

  • Ideal for Scalpers & Day Traders: Designed specifically to run on the M1 timeframe, giving instant, aligned signals for rapid execution.

  • Simple Visual Confirmation: Easy-to-read green (bullish) and red (bearish) arrows provide immediate visual trade setup confirmation.


How the Indicator Works (Functionality)

The MTA Arrow works as a powerful trend filter. For every closed M1 candle, the indicator checks the exact corresponding candle on all higher timeframes selected in its settings (default: M5, M15, M30, H1).

  • Bullish Signal (Green Arrow ⬆️): An arrow appears when the M1 candle closes and every single checked higher timeframe candle is also a bullish (close $>$ open) candle.

  • Bearish Signal (Red Arrow ⬇️): An arrow appears when the M1 candle closes and every single checked higher timeframe candle is also a bearish (close $<$ open) candle.

If any higher timeframe candle is neutral or opposite, no signal is generated, keeping you out of choppy market conditions.


⚙️ Input Parameters

Parameter Name 
Default Value
Description
BarsToCalculate
2000
The number of historical bars the indicator will analyze upon loading. (Set to 0 for maximum history load).
timeframesToCheck
M5, M15, M30, H1
(Note: This array is internal, but you should mention which TFs you use by default). The higher timeframes that must agree to generate a signal.

Important Notes

  1. Timeframe Requirement: This indicator is specifically coded to operate only on the M1 chart (as per the if(Period() != PERIOD_M1) check). Attempting to use it on any other timeframe will result in an INIT_FAILED error.

  2. Candle Shift Logic: The use of the iBarShift function tied to the M1 candle's close time is the core logic that ensures the indicator is 100% non-repainting.

  3. Spread Placement: Arrows are placed slightly above the high or below the low, adjusting for the current symbol spread ( SYMBOL_SPREAD * _Point ) to ensure maximum visibility without obscuring the price action.

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SuperTrend Plus Dema – Faster Trends, Less Noise SuperTrend Plus Dema is an advanced evolution of the classic trend-following indicator. Unlike standard SuperTrend indicators that rely solely on High/Low or Close prices, this tool integrates the Double Exponential Moving Average (DEMA) as a calculation source. This unique combination offers a smoother trend line with significantly reduced lag, allowing you to catch trends earlier while filtering out market noise. Why use SuperTrend Plus Dema? Re
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Moving Polynomial Regression The   Moving Polynomial Regression   indicator provides traders with a statistically robust and adaptive method for identifying the true trend, predicting immediate momentum shifts, and filtering market noise. Unlike traditional moving averages that simply lag the price, this tool fits an optimal polynomial curve to the market, giving you a dynamic and predictive view of price action. Key Advantages Superior Noise Filtering:   Uses advanced mathematical techniques
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Apex Trend EA
Loemiro Boholts Busis
Apex Trend EA A professionally developed and systematically optimized trading robot for MetaTrader 5. Apex Trend EA is not just another moving average crossover system. It is a complete trading solution built on a two-layer security principle, designed to capture high-probability trades while aggressively filtering out market noise. After a rigorous data-driven optimization process, Apex Trend EA has been fine-tuned to achieve a high win rate with controlled risk. Strategy: The Two-Layer Appro
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Muhammad Sirazul Monir
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Muhammad Sirazul Monir 2026.05.12 17:52 
 

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