Trend Strength Calculator
Quickly compute trend strength with accurate formulas. See amortization schedules, growth projections, and side-by-side comparisons.
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer
Trend Strength Calculator
Calculator
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Formula: Composite Score = ADX Points (0-40) + DI Spread Points (0-30) + MA Alignment Points (0-30)
Worked example — Composite: 88/100 | Strong Bullish Trend | SL: 1.0880 | TP: 1.1305
Formula
Composite Score = ADX Points (0-40) + DI Spread Points (0-30) + MA Alignment Points (0-30)
ADX measures trend intensity (0-100 scale). +DI and -DI determine direction. Moving average positioning confirms trend alignment. ATR provides volatility context and risk levels. The composite score combines all factors into a 0-100 rating.
Worked Examples
Example 1: Strong Uptrend in EUR/USD
Problem:EUR/USD at 1.1050. ADX: 35, +DI: 38, -DI: 15. SMA20: 1.0980, SMA50: 1.0920. ATR(14): 0.0085.
Solution:ADX 35 = Strong Trend +DI (38) > -DI (15): Bullish direction DI Spread: 23 (wide = strong directional move) Price above SMA20 and SMA50, SMA20 > SMA50: Strong Bullish MA signal Composite: ADX(28) + DI(30) + MA(30) = 88/100 Stop Loss: 1.1050 - 2(0.0085) = 1.0880 Take Profit: 1.1050 + 3(0.0085) = 1.1305
Result:Composite: 88/100 | Strong Bullish Trend | SL: 1.0880 | TP: 1.1305
Example 2: Weak Ranging Market in GBP/USD
Problem:GBP/USD at 1.2650. ADX: 14, +DI: 20, -DI: 22. SMA20: 1.2670, SMA50: 1.2640. ATR(14): 0.0110.
Solution:ADX 14 = No Trend (below 20) -DI (22) slightly > +DI (20): Slight bearish bias DI Spread: 2 (very narrow = no directional conviction) Price below SMA20 but above SMA50: Mixed signal Composite: ADX(11.2) + DI(3) + MA(10) = 24/100 ATR%: 0.87% = Moderate volatility
Result:Composite: 24/100 | No Trend / Ranging | Consider range-bound strategies
Frequently Asked Questions
What is the ADX indicator and how does it measure trend strength?
The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder Jr. in 1978 to quantify the strength of a price trend, regardless of its direction. ADX values range from 0 to 100, with readings below 20 indicating a weak or absent trend, 20-25 suggesting a developing trend, 25-50 indicating a strong trend, and above 50 signifying an extremely powerful trend. The ADX is derived from two directional indicators: the Positive Directional Indicator (+DI) and the Negative Directional Indicator (-DI). While ADX tells you HOW strong the trend is, the +DI and -DI tell you the DIRECTION. When +DI is above -DI, the trend is bullish; when -DI is above +DI, the trend is bearish.
How do you interpret the +DI and -DI crossovers for trading signals?
The Directional Indicator crossover system is one of the most popular trading signals derived from the ADX family. A bullish signal occurs when the +DI crosses above the -DI, indicating that upward price movement is gaining dominance. A bearish signal occurs when the -DI crosses above the +DI, showing increasing downward pressure. The reliability of these signals improves significantly when the ADX is above 25, confirming that a genuine trend is present rather than random price noise. Many traders use the 'extreme point rule' for additional confirmation: after a crossover, note the extreme price on the crossover bar and only enter the trade if price exceeds that point. The spread between +DI and -DI also matters; a wider spread indicates stronger directional conviction.
What role do moving averages play in confirming trend strength?
Moving averages serve as dynamic support and resistance levels and provide trend confirmation when used alongside the ADX system. The 20-period SMA captures short-term trend direction, while the 50-period SMA reflects the intermediate trend. When price is above both moving averages and the 20 SMA is above the 50 SMA, all three conditions align to confirm a strong bullish trend. Conversely, when price is below both averages and the 20 SMA is below the 50 SMA, a strong bearish trend is confirmed. The distance between price and the moving averages indicates how extended the move is; prices far from their averages tend to revert. Moving average crossovers (the golden cross and death cross) provide additional trend change signals that complement ADX readings effectively.
How is ATR used for volatility assessment and risk management in trend trading?
The Average True Range (ATR) measures market volatility by calculating the average range between high and low prices over a specified period, typically 14 bars. In trend trading, ATR serves multiple critical functions. First, it helps assess whether a market has enough volatility to generate profitable moves. Second, it provides objective stop-loss placement: a common approach is placing stops 2 ATR units from the entry price, which accounts for normal market noise while protecting against genuine trend reversals. Third, ATR helps determine position sizing through volatility-based risk management, where you adjust position size inversely to ATR so that each trade risks approximately the same dollar amount. The ATR as a percentage of price normalizes volatility comparison across different instruments.
What is a composite trend score and how should traders use it?
A composite trend score combines multiple technical indicators into a single numerical value that provides a holistic assessment of trend quality and strength. Trend Strength Calculator integrates ADX strength, directional indicator spread, and moving average alignment into a score from 0 to 100. Scores above 70 suggest a strong, well-confirmed trend suitable for trend-following strategies. Scores between 40 and 70 indicate moderate trends where caution and tighter risk management are appropriate. Scores below 40 suggest weak or absent trends where range-bound strategies may be more effective than trend-following approaches. Traders should use composite scores as a screening tool rather than a standalone trading signal, combining them with price action analysis, support and resistance levels, and fundamental factors for complete trading decisions.
References
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer · Editorial policy
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