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detect_support_resistance

Chart AnalysisAnalysisS&R

INSTALLATION

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

#or paste directly into your Claude Code terminal

[ ABOUT ]

Scans historical high and low arrays using a rolling local-extremum algorithm with configurable lookback (`n` bars on each side). A price is classified as support if it is the minimum low within a ±n window; resistance if it is the maximum high. Results are deduplicated and returned as sorted float lists.

The lookback period `n` directly controls sensitivity: smaller values (e.g. 3) detect many minor levels; larger values (e.g. 10) return only major structural zones. For daily timeframe crypto analysis, `n=5` strikes a balance that catches swing-level S/R without noise from intraday wicks.

[ USAGE EXAMPLE ]

example.py

highs = [101, 103, 98, 105, 100]
lows  = [95, 97, 92, 99, 94]
levels = detect_sr(highs, lows, n=2)
# → {"support": [92.0, 94.0], "resistance": [103.0, 105.0]}

[ FULL CODE ]

detect_support_resistance.py

def detect_sr(highs, lows, n=5): support, resist = [], [] for i in range(n, len(lows)-n): if lows[i] == min(lows[i-n:i+n]): support.append(round(lows[i], 2)) if highs[i] == max(highs[i-n:i+n]): resist.append(round(highs[i], 2)) return {"support": support, "resistance": resist}

[ METADATA ]

CategoryChart Analysis

ComplexityBeginner

LanguagePython 3.10+

TagsAnalysis, S&R

[ ASK CLAUDE ]

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