Triple Exponential Moving Average
The Triple Exponential Moving Average is a moving averages indicator used in Skyrexio Strategy Builder for trend following and dynamic support/resistance.
Introduction
The Triple Exponential Moving Average is a moving averages indicator used in Skyrexio Strategy Builder for trend following and dynamic support/resistance. A triple smoothed exponential moving average that reduces lag even further than DEMA. Highly responsive to price changes while filtering out market noise.
How Triple Exponential Moving Average Works
The Triple Exponential Moving Average (TEMA) extends the DEMA concept by applying triple smoothing. Calculation: TEMA = 3×EMA(n) - 3×EMA(EMA(n)) + EMA(EMA(EMA(n))). This creates an even more responsive moving average with minimal lag.
In crypto strategy building, TEMA is used for:
• Ultra-responsive trend detection - Identifies trend changes faster than DEMA • Short-term trading - Ideal for day trading and scalping • Momentum strategies - Quick response to price acceleration • Noise filtering - Despite responsiveness, it filters out minor fluctuations
TEMA is best suited for active trading strategies where quick entries and exits are crucial. It excels in trending markets but may generate false signals in ranging conditions.
Key Characteristics
Category: Moving Averages
Type: Technical Indicator
Application: Trend Following And Dynamic Support/Resistance
Timeframe: All timeframes supported (1m to 1M)
Using Triple Exponential Moving Average in Skyrexio Strategy Builder
Base Order Entry Conditions
Example Configuration:
First Condition: Close Price
Timeframe: 1H
Operator: Cross Above
Second Condition: Triple Exponential Moving Average
This creates a signal based on the Triple Exponential Moving Average meeting the specified criteria.
Practical Applications
Entry Signal
Triple Exponential Moving Average meets threshold
Trending markets
Confirmation
Combine with volume
All conditions
Exit Signal
Triple Exponential Moving Average reversal
Profit taking
Risk Management
Triple Exponential Moving Average extreme values
Risk assessment
Advanced Applications
Multi-Timeframe Analysis
Combine different timeframes for robust signals:
Rule 1: Triple Exponential Moving Average (4H) meets condition
AND
Rule 2: Triple Exponential Moving Average (1H) confirms signal
Indicator Combinations
Effective Combinations:
Triple Exponential Moving Average + Volume indicators (confirmation)
Triple Exponential Moving Average + Moving averages (trend context)
Triple Exponential Moving Average + Other momentum indicators (signal validation)
Take Profit and Stop Loss Applications
Take Profit Strategies
Multiple Rules Example:
Rule 1: Exit condition - Price reaches TEMA ultra-responsive target
First Condition: Close Price
Timeframe: 1H
Operator: Greater Than
Second Condition: Triple Exponential Moving Average
Value: 1.055
OR
Rule 2: Exit condition - Money Flow Index extreme overbought
First Condition: Money Flow Index
Timeframe: 1H
Operator: Greater Than
Second Condition: Value
Value: 88
OR
Rule 3: Exit condition - Volume exhaustion pattern
First Condition: Volume
Timeframe: 1H
Operator: Less Than
Second Condition: Simple Moving Average (20)
Value: 0.6
Stop Loss Applications
Multiple Rules Example:
Rule 1: Stop loss - Price breaks TEMA ultra-responsive support
First Condition: Close Price
Timeframe: 1H
Operator: Cross Below
Second Condition: Triple Exponential Moving Average
OR
Rule 2: Stop loss - Williams %R extreme oversold
First Condition: Williams %R
Timeframe: 1H
Operator: Less Than
Second Condition: Value
Value: -92
OR
Rule 3: Stop loss - MACD Histogram negative
First Condition: MACD Histogram
Timeframe: 1H
Operator: Less Than
Second Condition: Value
Value: -0.02
Triple Exponential Moving Average Strategy Bot
Configuration:
Base Order: Triple Exponential Moving Average condition as defined above
Additional Entries: Price Change mode, 2% intervals
Take Profit: 5% and 10% levels
Stop Loss: Indicator reversal OR 3% loss
Risk Management
Position Sizing
Use Triple Exponential Moving Average to assess market conditions:
Strong Signals: Full position size
Weak Signals: Reduced position size
Conflicting Signals: Avoid trading
Market Adaptation
Adjust Triple Exponential Moving Average parameters based on:
Current market volatility
Timeframe being traded
Historical performance
Skyrexio-Specific Features
AI Integration
The "Suggest with AI" button provides recommendations for:
Optimal Triple Exponential Moving Average parameters for current conditions
Best timeframes for Triple Exponential Moving Average analysis
Complementary indicators to use with Triple Exponential Moving Average
Real-Time Execution
Continuous Monitoring: 24/7 tracking across all timeframes
Instant Signals: Immediate order execution when conditions are met
Multi-Exchange: Consistent calculation across all supported exchanges
Best Practices
Entry Timing
Once per bar close: Recommended trigger type for Triple Exponential Moving Average
Confirmation: Always combine with other technical factors
Volume: Validate signals with volume analysis
Common Mistakes to Avoid
Over-optimization: Don't curve-fit parameters to historical data
Isolation: Never use Triple Exponential Moving Average as the only decision factor
Ignoring Context: Consider broader market conditions
Performance Optimization
Backtesting Guidelines
Test Triple Exponential Moving Average across different market conditions
Validate on multiple cryptocurrency pairs
Account for transaction costs and slippage
Use realistic execution assumptions
Market Conditions
Trending
High
Follow signals with trend
Ranging
Medium
Use mean reversion approach
Volatile
Variable
Reduce position sizes
Low Volume
Low
Wait for volume confirmation
Technical Considerations
Calculation Method
Triple Exponential Moving Average is calculated using:
Standard mathematical formulas
Consistent methodology across timeframes
Real-time updates with each new price tick
Parameter Optimization
Consider adjusting parameters for:
Different cryptocurrency pairs
Varying market conditions
Your risk tolerance and trading style
Conclusion
The Triple Exponential Moving Average is a valuable tool in the Skyrexio Strategy Builder arsenal for trend following and dynamic support/resistance. When used correctly with proper risk management and confirmation signals, it can significantly enhance trading performance. However, like all technical indicators, Triple Exponential Moving Average should be part of a comprehensive trading strategy that includes multiple confirmation factors.
The key to success with Triple Exponential Moving Average is understanding its strengths and limitations, combining it with other analysis techniques, and maintaining disciplined risk management. Skyrexio's AI-powered suggestions can help optimize Triple Exponential Moving Average parameters for current market conditions and your specific trading objectives.
Remember that no single indicator guarantees profitable trades. The most successful strategies combine multiple indicators, proper risk management, and sound trading psychology. Use Triple Exponential Moving Average as part of a well-rounded approach to cryptocurrency trading.
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