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Showing posts with label MQL5 Indicator. Show all posts
Showing posts with label MQL5 Indicator. Show all posts

The Physics of Trading: Applying Newton’s Law of Motion to ZigZag Reversals

The Physics of Trading: Applying Newton’s Law of Motion to ZigZag Reversals

Author: Roberto Jacobs (3rjfx)

1. Introduction

In the world of technical analysis, the ZigZag indicator is legendary for its ability to filter market noise and highlight the true structure of the market—its peaks and troughs. However, every veteran trader knows its greatest weakness: it repaints. A confirmed low today can disappear tomorrow if the price continues to drop.

To solve this, I developed ZigZag Reverses, an indicator that doesn't just track price; it measures Momentum Energy based on the laws of physics.
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William's Percent Range Multi-Timeframe Indicator for MT5

William's Percent Range Multi-Timeframe Indicator for MT5

Author: Roberto Jacobs (3rjfx)

1. Introduction

The Williams' Percent Range (WPR) is a highly respected momentum oscillator used by technical analysts to identify overbought and oversold conditions. However, the standard MetaTrader 5 (MT5) version of this indicator often confuses traders because it utilizes negative values (ranging from 0 to -100).

So, the value of the Williams’ Percent Range Multi-Timeframe indicator in the WPR_MTF indicator is not obtained using the Indicator Handle. Instead, the structure and code of the Williams’ Percent Range indicator because I created the iWPR Plus code, so I can write the code directly in the function.
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Parabolic SAR Multi-Timeframe Indicator for MT5

Parabolic SAR Multi-Timeframe Indicator for MT5

Author: Roberto Jacobs (3rjfx)

1. Introduction

The Parabolic SAR (Stop and Reverse) is a staple in technical analysis, primarily used to identify trend direction and potential reversal points. However, trading based on a single timeframe often leads to "market noise" and false signals.

The SAR_MTF indicator, created by Roberto Jacobs, addresses this limitation by scanning and calculating Parabolic SAR values across 21 different timeframes simultaneously—ranging from M1 to Monthly (MN1). By aggregating this data into a single interactive dashboard, traders gain a bird's-eye view of the market trend across the entire spectrum of time.
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