Noise Elimination Technology (NET) has been incorporated into an RSI indicator, functioning similarly to a rolling Kendall rank correlation coefficient. This implementation aids in determining the trend direction of a simple moving average (SMA). It is important to note that NET's trend assessment differs from the SMA slope, leading to occasional discrepancies between the slope and trend color changes. Users should consider using the color change indicator as a signal for potential trend shifts. Prior experimentation with the NET period is recommended to optimize the indicator's effectiveness for trading decisions. Adjustments to the NET period may influence its responsiveness and accuracy.

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ZigZag NK Sound Alerts is designed to notify users with sound, push notifications, or popup alerts when there's a change in the ZigZag bar. This indicator employs three buffers: two dedicated to the ZigZag function itself and one for coloring. By utilizing this tool, users can efficiently monitor ZigZag bar changes without constantly checking their terminals. It's beneficial for those seeking automated notifications to streamline their workflow and enhance market analysis. Such indicators can be integral in maintaining attention to key market shifts while managing multiple tasks effectively.

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A method involves dividing price by volume, using a simple moving average as the price metric. Despite its simplicity, there appears to be no significant predictive value in this approach for forecasting. While it provides a streamlined way to analyze price-volume relations, reliance solely on this method does not yield substantial insights for future price movements. It remains an exercise in examining basic market dynamics rather than a robust forecasting tool. The technique serves better as a supplementary analysis rather than a standalone system for predictions.

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Explore the technical construction of the Butterfly Oscillator, a novel indicator derived from the Butterfly Curve. This oscillator addresses the challenge of cyclical pattern detection and trading strategy development. Programmed in MQL5, it integrates seamlessly into MetaTrader 5, offering traders dynamic adaptability through bar count and price movement. The oscillator adapts to market conditions, with variable step sizes controlling sensitivity. This dual approach enhances predictive accuracy in identifying market entry and exit points. Supporting both long-term and short-term trading strategies, the Butterfly Oscillator is versatile for traders, recommended for integration into advanced trading systems on MetaTrader 5.

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A new CVD indicator for MetaTrader 5 has been introduced. It offers a lightweight, open-source solution for visualizing net buying vs. selling pressure via CVD candles, facilitating basic volume and order flow analysis. The indicator computes and plots CVD on the chart using M1 data in its free version and features an optional reset on timeframe boundaries.

Functionality extends to all symbols and timeframes. CVD is calculated by determining the direction from the difference between closing and opening values, then calculating the volume delta using tick volume. The cumulative sum of volume deltas produces the CVD, which is plotted as candles.

To get started, copy the file "CVD_MT5_v3_m1_codebase.mq5" to your "MQL5/Indicators" folder and compile using MetaEditor, or simply restart MetaTrader 5. Attach the indicator through the Navigator under Indicators. ...

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An innovative indicator has been developed, designed to compare two modes and timeframes while analyzing EA settings. This tool allows for customization to fit specific requirements or the addition of new features as needed. It systematically saves collected data to a file every 5 minutes, ensuring organized data management with one file created per instance. Adjustments have been made recently to enhance functionality and accuracy. This development represents a practical approach to refining trading strategies and improving automation processes by providing a structured method for analyzing and comparing various operational parameters.

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The exploration of mathematical functions like Rademacher and Walsh in trading reveals untapped potential for market analysis. These functions have historically been overshadowed but can provide unique insights into price movements and trend identification.

Rademacher functions, based on sines, and Walsh functions, linked to trigonometric polynomials, present alternative methods for technical analysis. They offer discrete transformations that can simplify complex price models, potentially improving trading strategy outcomes.

Implementing these functions assists in tracking trends and smoothing prices, paving the way for innovative indicators and strategies. Adjusting function orders or blending multiple indicators may enhance signal accuracy and trading effectiveness. The reinvention of these functions in a trading context offers promising avenues fo...

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The discussed Zigzag indicator utilizes volatility-based confirmation for identifying swing points. It calculates volatility as a product of the current standard deviation and a set multiplier. Unlike traditional fixed-depth scanning for price extremes, this method evaluates local volatility levels. It identifies the most extreme price within a move that breaches the volatility threshold. As standard deviation updates with each bar, market conditions are dynamically reflected, allowing the threshold to adjust accordingly. A horizontal line marks the latest confirmed swing, serving as a statistically significant boundary for potential bounces or breakouts.

In bearish trends, any price movement above this level can be considered noise. Traders might position a sell stop just below or directly execute at this level, ready to exit if adverse movement ...

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Explore a groundbreaking trading strategy that transcends conventional indicators like MACD and Stochastic Oscillator. This approach introduces the Triple Sine Oscillator (TSO), leveraging the mathematical properties of the Sine Cube function to detect mean reversion points. By transforming price data into a normalized cyclic oscillator, TSO offers advanced insights into market momentum. Its adaptive sensitivity factor ensures it suits both short-term volatility and long-term trends. With a robust MQL5 code structure, TSO is a versatile tool for algorithmic trading, offering precise entry and exit signals. This innovative framework enhances decision-making, accommodating diverse financial markets and trading environments.

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