Triple exponential moving average¶
The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values.
Core Idea¶
Triple exponential moving average is treated here as the recurring crossdomainmodelsstructuresrepresentations identity summarized by this source-grounded definition: The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values. The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values.
Scope of Application¶
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Formula. Because EMA(EMA(EMA)) is used in the calculation, TEMA needs 3 × period - 2 samples to start producing values in contrast to the period samples needed by a regular EMA.
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History. Mulloy, in an article in the Technical Analysis of Stocks & Commodities magazine: "Smoothing Data with Faster Moving Averages" The same article also introduced another EMA related indicator: Double exponential moving average.
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Formula. To keep it in line with the actual data and to remove the lag the value "EMA of EMA" is subtracted 3 times from the previously tripled ema.
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Formula. \textit{TEMA} = 3 \times \textit{EMA} - 3 \times \textit{EMA}(\textit{EMA}) + \textit{EMA}(\textit{EMA}(\textit{EMA})).
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History. The indicator was introduced in January 1994 by Patrick G.
Clarity¶
A clear use of Triple exponential moving average names the carrier, the operative relation, and the conditions under which the source treats the identity as present. The minimal definition is The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values.
Manages Complexity¶
Triple exponential moving average compresses multiple crossdomainmodelsstructuresrepresentations details into a stable diagnostic relation. The source shows both the central mechanism—the indicator was introduced in January 1994 by Patrick G.—and the practical consequence—to keep it in line with the actual data and to remove the lag the value "EMA of EMA" is subtracted 3 times from the previously tripled ema.
Abstract Reasoning¶
- Type the carrier. Identify the crossdomainmodelsstructuresrepresentations entities to which the claim applies.
- State the relation. Use the source-grounded identity: The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values.
- Check operation and conditions. The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values.
Knowledge Transfer¶
Within the home domain. Knowledge about Triple exponential moving average transfers literally when a new case preserves the same carrier type, relation, and recognition test. Because EMA(EMA(EMA)) is used in the calculation, TEMA needs 3 × period - 2 samples to start producing values in contrast to the period samples needed by a regular EMA. Mulloy, in an article in the Technical Analysis of Stocks & Commodities magazine: "Smoothing Data with Faster Moving Averages" The same article also introduced another EMA related indicator: Double exponential moving average (DEMA). Beyond the home domain.
Relationships to Other Abstractions¶
Current abstraction Triple exponential moving average Domain-specific
Parents (1) — more general patterns this builds on
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Triple exponential moving average is a kind of Trading Indicator Domain-specific
Triple exponential moving average satisfies the defining boundary of Trading Indicator: A trading indicator is a rule-defined transformation of time-indexed market data that produces a series, band, oscillator, threshold, or event intended to summarize trend, momentum, volatility, range, volume, or another market feature for trading analysis under specified parameters and decision conventions.
Hierarchy path (1) — routes to 1 parentless root
- Triple exponential moving average → Trading Indicator → Proxy–Target Fidelity → Representation → Abstraction
Neighborhood in Abstraction Space¶
Triple exponential moving average sits in a sparse region of the domain-specific corpus (91st percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Financial Indices & Trading Indicators (15 abstractions)
Nearest neighbors
- Value at risk — 0.80
- Törnqvist index — 0.79
- Single Vegetative Obstruction Model — 0.79
- Relative Strength Index — 0.79
- Merton's portfolio problem — 0.79
Computed from structural-signature embeddings · 2026-10-08