TASC 2022.05 Relative Strength Exponential Moving Average
Apr 14, 2022

The TASC 2022.05 Relative Strength Exponential Moving Average indicator provides an adaptive trend-following tool that utilizes price relative strength to reduce lag and improve responsiveness to market fluctuations.
Usage
The Usage section describes how the script can be used to identify trends and potential reversal points. Because the RS EMA adapts its smoothing factor based on price momentum, it reacts faster to trend changes than a standard Exponential Moving Average.
- Trend Identification: Traders can use a single RS EMA to define the current trend direction. When price remains above the RS EMA, the trend is considered bullish; when price remains below, the trend is considered bearish.
- Trend Confirmation: The indicator can be paired with a standard EMA of the same length. If the RS EMA is above the standard EMA, it signals strengthening bullish momentum.
- Filtering Movements: By adjusting the RS Multiplier, users can fine-tune how sensitive the indicator is to volatility, allowing it to filter out minor price noise while capturing significant moves.
- Crossovers: Price crossovers with the RS EMA can serve as entry or exit signals, indicating a potential shift in market regime.
Details
The Relative Strength Exponential Moving Average (RS EMA) was introduced by Vitali Apirine in the May 2022 edition of Technical Analysis of Stocks & Commodities (TASC). The core concept involves using a relative strength calculation—similar to the logic found in the Relative Strength Index (RSI)—to adjust the smoothing constant of an EMA.
The calculation follows these logic steps:
- Relative Strength Calculation: The script determines the upward and downward price changes over a specific RS length, applying exponential smoothing to these changes.
- Adaptive Smoothing Rate: A "Relative Strength" value is derived by calculating the absolute difference between smoothed gains and losses, divided by their sum.
- Final EMA Calculation: This RS value is multiplied by a user-defined coefficient and applied to the standard EMA multiplier. This makes the moving average "faster" when price strength is high and "slower" during periods of consolidation.
Settings
- Source: Determines the price data used for the calculation (e.g., Close, Open, High, Low).
- EMA Length: The lookback period for the base exponential moving average calculation.
- RS Length: The lookback period used specifically to calculate the relative strength component that adapts the average.
- RS Multiplier: A coefficient that controls the intensity of the adaptive effect; higher values make the indicator more responsive to price strength.
FAQ
How does RS EMA differ from a standard EMA? While a standard EMA uses a fixed smoothing constant, the RS EMA dynamically adjusts its smoothing rate based on the relative strength of price movements, resulting in less lag during strong trends.
What are the recommended settings for this indicator? The author, Vitali Apirine, suggests starting with typical settings of 10 for the EMA length, 10 for the RS length, and 10 for the RS multiplier, though these should be adjusted based on the specific timeframe and asset.
How can I access the RS EMA tool? You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.
Trading & investing are risky and many will lose money in connection with trading and investing activities. All content on this site is not intended to, and should not be, construed as financial advice. Decisions to buy, sell, hold or trade in securities, commodities and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results.
Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.
As a provider of technical analysis tools and strategies, we do not have access to the personal trading accounts or brokerage statements of our customers. As a result, we have no reason to believe our customers perform better or worse than traders as a whole based on any content, tool, or platform feature we provide.
Charts used on this site are by TradingView in which the majority of our technical indicators are built on. TradingView® is a registered trademark of TradingView, Inc. www.TradingView.com TradingView® has no affiliation with the owner, developer, or provider of the Services described herein.
Market data is provided by CBOE, CME Group, BarChart, Massive, CoinAPI. Select U.S. equities data is provided through Massive. CBOE BZX real-time U.S. equities data is licensed from CBOE and provided through BarChart. Real-time futures data is licensed from CME Group and provided through BarChart. Select cryptocurrency data, including major coins, is provided through CoinAPI. All data is provided “as is” and should be verified independently for trading purposes.
This does not represent our full Disclaimer. Please read our full disclaimer.
© 2026 LuxAlgo Global, LLC.

