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measure_trend_strength

Chart AnalysisADXTrend

INSTALLATION

$python -c "exec(open('measure_trend_strength.py').read())"

#or paste directly into your Claude Code terminal

[ ABOUT ]

Calculates a simplified version of the Average Directional Index (ADX) by smoothing the true range series over the configured period. Returns a categorical label — "Strong" (ADX > 25), "Moderate" (20-25), or "Weak" (< 20) — rather than the raw numeric value to simplify downstream prompt generation.

A Weak ADX reading signals that the current trend has insufficient momentum to sustain a directional move, which is critical context for signal generation: a buy signal in a Weak trend environment should carry a lower confidence score than the same signal in a Strong trend environment. Wire this function's output into `rate_signal_quality` for automatic confidence adjustment.

[ USAGE EXAMPLE ]

example.py

strength = calc_adx(high, low, close, period=14)
print(strength)  # "Strong" | "Moderate" | "Weak"

[ FULL CODE ]

measure_trend_strength.py

def calc_adx(high, low, close, period=14): tr = [max(h-l, abs(h-c), abs(l-c)) for h,l,c in zip(high,low,close)] adx = smooth(tr, period) if adx[-1] > 25: return "Strong" elif adx[-1] > 20: return "Moderate" else: return "Weak"

[ METADATA ]

CategoryChart Analysis

ComplexityBeginner

LanguagePython 3.10+

TagsADX, Trend

[ ASK CLAUDE ]

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