Applying TradingView Indicators on Other Indicators

Definition

In the realm of technical analysis, an indicator serves as a visual representation of trading and financial statistics, such as price levels, trading volume, or financial ratios. These tools process raw market data to help traders assess the probability of future price movements and construct trading strategies based on historical patterns. While most indicators are typically applied directly to price data (e.g., the closing price of a candle), a more advanced technique involves applying one indicator's output as the input for another indicator.

Applying an indicator on another indicator means that instead of using the raw price series (Open, High, Low, Close, Volume, etc.) as the data source for a secondary indicator, the calculated values or a specific plot of a primary indicator are used. This creates a multi-layered analytical approach, where the output of the first calculation feeds into the second, allowing for more nuanced interpretations of market dynamics. This method moves beyond simply displaying multiple indicators simultaneously on a chart; it involves a direct computational dependency, transforming the data before the final visualization.

Key Takeaway

This sophisticated technique unlocks advanced analytical possibilities, enabling traders to develop highly customized and nuanced market interpretations. By chaining indicators, one can reveal hidden trends, filter out noise, or confirm trading signals with significantly greater precision than what might be achievable with standalone indicators. It transforms raw market data into a more refined and context-specific signal, offering a deeper understanding of price action and momentum.

Mechanics

The process of applying an indicator on another within TradingView is straightforward once the concept is understood. First, a primary indicator is added to the chart, which will generate a data series. This could be, for instance, a Relative Strength Index (RSI), a Moving Average Convergence Divergence (MACD), or a Volume-Weighted Average Price (VWAP). Once the primary indicator is active, a secondary indicator is then added. The crucial step lies in configuring the input source for this secondary indicator.

Typically, when adding an indicator, its default input source is set to a price series, most commonly the 'Close' price. To apply it to another indicator, the user must navigate to the secondary indicator's settings (often accessible via a gear icon next to the indicator's name on the chart or in the indicator list). Within these settings, there will be an option to change the input source. Instead of selecting 'Close' or another price-related option, the user selects the specific plot or output of the primary indicator. For example, if applying a Simple Moving Average (SMA) to an RSI, one would first add the RSI, then add the SMA, and in the SMA's settings, change its input from 'Close' to 'RSI'. This effectively smooths the RSI line, providing a clearer trend of the momentum indicator itself, rather than the price. This capability is also fundamental to creating custom indicators using TradingView's Pine Script language, where developers can explicitly define one indicator's output as the input for subsequent calculations, building complex analytical tools from the ground up.

Trading Relevance

Applying indicators on other indicators offers several significant advantages for traders seeking to refine their strategies and gain a deeper market edge. One primary benefit is enhanced signal filtering. By requiring multiple layers of confirmation, traders can significantly reduce false positives that often arise from single-indicator signals. For example, an RSI crossover might generate many signals, but an SMA applied to the RSI could filter out minor fluctuations, only signaling when the RSI's trend itself changes direction, leading to more robust entry or exit points.

Furthermore, this technique is invaluable for identifying more complex divergences and convergences. Instead of just looking for price-indicator divergences, traders can observe divergences between two indicators, providing a more nuanced view of underlying market strength or weakness. For instance, a divergence between a momentum indicator applied to volume and another momentum indicator applied to price could signal a significant shift in market sentiment. This multi-layered analysis also facilitates custom strategy development, allowing traders to tailor indicator combinations precisely to their specific trading style, asset class, or prevailing market conditions. By combining indicators in unique ways, traders can create proprietary systems that reflect their individual market hypotheses, such as using a Stochastic Oscillator on a Volume-Weighted Average Price (VWAP) to gauge momentum relative to institutional interest rather than just raw price action, offering a unique perspective on market participation and potential turning points.

Risks

While applying indicators on other indicators can unlock powerful analytical capabilities, it also introduces several inherent risks that traders must carefully consider. A significant danger is over-optimization or curve fitting. When too many layers of indicators are combined and fine-tuned to historical data, the resulting system might appear to perform flawlessly in backtesting. However, such a system often fails to adapt to live market conditions, which are inherently dynamic and unpredictable. The more parameters and layers introduced, the higher the risk that the strategy is merely fitting past noise rather than identifying genuine, repeatable market edges.

Another critical risk is increased lag. Each layer of calculation adds a computational delay to the signal generation. If an indicator is applied to another indicator, which itself is derived from a smoothed price series, the final signal can be significantly delayed compared to raw price action. This lag can lead to missed opportunities or late entries/exits, eroding potential profits, especially in fast-moving markets. Furthermore, the complexity of interpreting multi-layered indicators can become overwhelming. As more indicators are chained, understanding precisely what the final output represents and how each component contributes to it becomes challenging. This complexity can lead to misinterpretation of signals, causing confusion and poor decision-making, particularly for less experienced traders. It is paramount to fully understand the mathematical basis and behavioral characteristics of each indicator in the chain to avoid drawing incorrect conclusions from the composite output.

History and Examples

The concept of deriving one analytical tool from another is not new in technical analysis, predating digital charting platforms. Many classic indicators are, in essence, indicators applied to other indicators or smoothed data. A prime example is the Moving Average Convergence Divergence (MACD). The MACD line itself is the difference between two exponential moving averages (EMAs) of price. Its signal line is then typically a 9-period EMA of the MACD line. This is a textbook example of an indicator (EMA) applied to the output of another indicator (MACD line), demonstrating the power of this layered approach in identifying momentum shifts and trend reversals.

With the advent of advanced charting platforms like TradingView, the ability to easily apply one indicator's output as the input for another has become highly accessible to individual traders. This has led to the popularization of various combinations. For instance, applying a Simple Moving Average (SMA) to the Relative Strength Index (RSI) is a common practice. Instead of the SMA tracking price, it tracks the RSI's momentum, providing a smoothed view of overbought/oversold conditions and potential trend changes within the RSI itself. Another example involves applying Bollinger Bands to the MACD line, which can help identify periods of high or low volatility in the momentum of the MACD, potentially signaling impending breakouts or consolidations in the underlying trend. Similarly, applying a Stochastic Oscillator to Volume can provide insights into the momentum of trading activity, rather than just price, offering a different perspective on market participation and conviction.

Common Misunderstandings

One of the most prevalent misunderstandings regarding applying indicators on other indicators is confusing it with simply overlaying multiple indicators on a chart. Many traders will add several indicators to their chart, such as an RSI in a sub-panel and a MACD in another, and then visually compare them. While this is a valid form of multi-indicator analysis, it is distinct from applying one indicator as the input for another. The latter involves a direct computational link, where the data series of the first indicator literally becomes the price series for the second, fundamentally altering its calculation and interpretation. Simply displaying them separately does not create this mathematical dependency.

Another common misconception is the belief that more indicators, or more layers of indicators, automatically equate to better or more reliable signals. This is often not the case. While layering can provide deeper insights, an excessive number of indicators or overly complex chains can lead to analysis paralysis, where conflicting signals from various layers make decision-making difficult. It can also obscure the underlying price action, making it harder to discern genuine market movements from indicator noise. Furthermore, there's a misunderstanding that applying indicators on indicators creates a **