Double Exponential Moving Average (DEMA)
DEMA reduces lag by applying double exponential smoothing. Faster than SMA but smoother than raw price, it sits between EMA and TEMA in responsiveness.
TL;DR
- DEMA is a trend indicator used in technical analysis
- Similar to EMA but with reduced lag. Price above DEMA is bullish, below is bearish.
- Best timeframes: M15, H1, H4
- Skip to API docs →
What is Double Exponential Moving Average?
DEMA reduces lag by applying double exponential smoothing. Faster than SMA but smoother than raw price, it sits between EMA and TEMA in responsiveness.
How DEMA is Calculated
DEMA = 2×EMA1 - EMA2
EMA1 = EMA(price, period)
EMA2 = EMA(EMA1, period)
Default period: 20How to Interpret DEMA
Similar to EMA but with reduced lag. Price above DEMA is bullish, below is bearish.
Trading Strategies Using DEMA
Strategy 1: DEMA Crossover
Use DEMA crossovers for faster trend change detection.
Entry Rules
Buy when fast DEMA crosses above slow DEMA.
Exit Rules
Exit on reverse crossover.
Combining DEMA with Other Indicators
DEMA works best when combined with complementary indicators:
- DEMA + TEMA: Combine for stronger confluence signals
- DEMA + EMA: Combine for stronger confluence signals
- DEMA + SMA: Combine for stronger confluence signals
DEMA Across Different Timeframes
DEMA works across all 7 timeframes but performs best on M15, H1, H4 for most trading styles.
Accessing DEMA via TickAtlas API
https://tickatlas.com/v1/indicator Python Example
import requests
url = "https://tickatlas.com/v1/indicator"
headers = {"X-API-Key": "YOUR_API_KEY"}
params = {
"symbol": "EURUSD",
"indicator": "DEMA_20",
"timeframe": "H1"
}
response = requests.get(url, headers=headers, params=params)
data = response.json()
print(data)Sample Response
{
"symbol": "EURUSD",
"indicator": "DEMA_20",
"timeframe": "H1",
"timestamp": "2026-03-21T14:00:00Z",
"value": 58.43,
"signal": "neutral"
}Common Mistakes to Avoid
- 1
Overfitting by using DEMA to chase every small price movement
- 2
Not combining with a trend strength indicator like ADX
Frequently Asked Questions
What is the difference between DEMA and TEMA?
DEMA applies double smoothing for moderate lag reduction, while TEMA applies triple smoothing for even less lag. TEMA is more responsive but potentially noisier.
Continue learning
More trend indicators
- Indicator
Triple Exponential Moving Average (TEMA)
TEMA reduces lag by applying triple exponential smoothing.
Read more - Indicator
Exponential Moving Average (EMA)
The Exponential Moving Average gives more weight to recent prices, making it more responsive to new information than the SMA.
Read more - Indicator
Simple Moving Average (SMA)
The Simple Moving Average smooths price data by calculating the average closing price over a specified number of periods.
Read more
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