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PipsGrowth

Key Takeaways

Difficulty:Intermediate
Reliability:High
Category:trend
Timeframes:5M, 15M, 1H

Triple Exponential Moving Average (TEMA)

trend📊 5M, 15M, 1H, 4H

An even smoother and faster moving average using triple exponential smoothing.

Formula

Code
TEMA = 3×EMA - 3×EMA(EMA) + EMA(EMA(EMA))

Detailed Explanation

TEMA applies the EMA three times to further reduce lag while maintaining smoothness.

Lag Comparison:
- SMA: Most lag
- EMA: Medium lag
- DEMA: Low lag
- TEMA: Minimal lag

Trading Setup Example

Entry, stop loss, and take profit levels.

📈 Buy Setup
TEMACrossEntryTake ProfitStop LossCandlesMACrossBUY
📉 Sell Setup
TEMACrossEntryTake ProfitStop LossCandlesMACrossSELL

Always wait for signal confirmation before entering a trade.

Where This Indicator Works Best

Trend context and market position.

📈 Bullish Context
TEMAStrong Uptrend ↑Best Fit ✓Continues →
📉 Bearish Context
TEMAStrong Downtrend ↓Best Fit ✓Continues →

Works best in strongly trending markets.

Live Chart — Triple Exponential Moving Average (TEMA)

See Triple Exponential Moving Average (TEMA) in action on a live chart. Try changing the settings and timeframe.

Charts powered by TradingViewGet TradingView Pro →

Parameters

Period
Default: 20
TEMA calculation period

📈 Bullish Signals

Price crosses above TEMA, strong upward slope

📉 Bearish Signals

Price crosses below TEMA, strong downward slope

Python Implementation

TEMA calculation

Python
import pandas_ta as ta
df['TEMA'] = ta.tema(df['close'], length=20)

TradingView Pine Script

Try on TradingView
JavaScript
//@version=5
indicator("TEMA", overlay=true)
tema = ta.tema(close, 20)
plot(tema, "TEMA", color=color.purple)
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MT5 MQL5 Code

C++
int tema_handle = iTEMA(_Symbol, _Period, 20, 0, PRICE_CLOSE);
double tema[];
CopyBuffer(tema_handle, 0, 0, 3, tema);

Python Libraries

pandas-ta
Technical analysis
pip install pandas-ta

Common Mistakes

✗Overtrading due to sensitivity
✗Using in ranging markets

Confirmation Signals

Volume
RSI
Price patterns

Best For

Very fast trend detectionMinimal lagScalping

💡 Pro Tips

  • •Fastest common MA variant
  • •Best for scalping and day trading
  • •May overreact in volatile markets
Last updated: February 8, 2026

Educational Disclaimer

This content is for educational purposes only and does not constitute financial or investment advice. Trading involves significant risk and you may lose your capital. Always consult a licensed financial advisor before making investment decisions.

Learn More

Investopedia - Technical IndicatorsBabyPips - Technical IndicatorsMetaTrader 5 Docs

Frequently Asked Questions

Related Indicators

Simple Moving Average (SMA)

The SMA calculates the average price over a specific number of periods, smoothing out price data to identify trend direction.

Exponential Moving Average (EMA)

EMA gives more weight to recent prices, making it more responsive to new information than SMA.

Double Exponential Moving Average (DEMA)

A faster, smoother moving average that reduces lag by applying EMA twice.

Back to All Indicators
Triple Exponential Moving Average (TEMA) - Complete Guide with Python & TradingView Code