What ADX value indicates a strong trend?

ADX above 25 indicates a trend worth trading. Above 40 is very strong, and above 50 is extremely strong.

Key Takeaways

Difficulty:Intermediate

Reliability:High

Category:trend

Timeframes:1H, 4H, Daily

Average Directional Index (ADX)

trend📊 1H, 4H, Daily

Measures trend strength without indicating direction. Values 0-100, higher = stronger trend.

Formula

Code

ADX = 14-period smoothed average of DX

DX = 100 × |+DI - -DI| / (+DI + -DI)

Detailed Explanation

The Average Directional Index (ADX) was developed by J. Welles Wilder to quantify trend strength.

Components:
- ADX Line: Measures trend strength (0-100)
- +DI (Positive Directional Indicator): Upward movement strength
- -DI (Negative Directional Indicator): Downward movement strength

Interpretation:
- 0-25: Weak or no trend (ranging)
- 25-50: Strong trend
- 50-75: Very strong trend
- 75-100: Extremely strong trend

Trading Setup Example

Entry, stop loss, and take profit levels.

📈 Buy Setup

📉 Sell Setup

Always wait for signal confirmation before entering a trade.

Where This Indicator Works Best

Trend context and market position.

📈 Bullish Context

📉 Bearish Context

Works best in strongly trending markets.

Live Chart — Average Directional Index (ADX)

See Average Directional Index (ADX) in action on a live chart. Try changing the settings and timeframe.

Average Directional Index (ADX) is a manual drawing tool or chart type and cannot be auto-overlaid as a study.

Open Chart on TradingView

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Parameters

Period

Default: 14

ADX calculation period

📈 Bullish Signals

+DI crosses above -DI with ADX > 25

📉 Bearish Signals

-DI crosses above +DI with ADX > 25

Python Implementation

ADX with directional indicators

Python

import pandas_ta as ta

adx = ta.adx(df['high'], df['low'], df['close'], length=14)

df['ADX'] = adx['ADX_14']

df['DI_Plus'] = adx['DMP_14']

df['DI_Minus'] = adx['DMN_14']

TradingView Pine Script

Try on TradingView

JavaScript

//@version=5

indicator("ADX")

[diplus, diminus, adx] = ta.dmi(14, 14)

plot(adx, "ADX", color=color.blue)

plot(diplus, "+DI", color=color.green)

plot(diminus, "-DI", color=color.red)

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MT5 MQL5 Code

C++

int adx_handle = iADX(_Symbol, _Period, 14);

double adx[], di_plus[], di_minus[];

CopyBuffer(adx_handle, 0, 0, 3, adx);

CopyBuffer(adx_handle, 1, 0, 3, di_plus);

CopyBuffer(adx_handle, 2, 0, 3, di_minus);

Python Libraries

pandas-ta

Technical analysis

pip install pandas-ta

Common Mistakes

✗Using ADX alone without DI lines for direction

✗Trading in low ADX environments expecting trends

Confirmation Signals

DI crossover

Price action

Volume

Best For

Trend strength measurementFiltering tradesIdentifying ranging markets

💡 Pro Tips

•ADX only measures strength, not direction
•Rising ADX = strengthening trend, falling ADX = weakening
•ADX > 40 indicates very strong trend

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 Indicators— Financial Education BabyPips - Technical Indicators— Trading School MetaTrader 5 Docs— Official Documentation

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