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identify_fibonacci_levels

Chart AnalysisFibonacciS&R

INSTALLATION

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

#or paste directly into your Claude Code terminal

[ ABOUT ]

Takes a swing high and swing low as input and returns Fibonacci retracement levels at the standard ratios: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100%. Each level is computed as `swing_high - (range * fib_ratio)` and returned in a labeled dictionary.

Swing high and low should be identified manually from the chart context or extracted programmatically using `detect_support_resistance`. The 38.2% and 61.8% levels are historically the most significant retracement zones in trending crypto markets — filter the output dictionary to those two if you want to draw only the highest-probability levels.

[ USAGE EXAMPLE ]

example.py

fibs = fibonacci_levels(swing_high=105, swing_low=88)
# → {"Fib 0%": 105.0, "Fib 38%": 98.5, "Fib 62%": 94.5, ...}

[ FULL CODE ]

identify_fibonacci_levels.py

def fibonacci_levels(swing_high, swing_low): diff = swing_high - swing_low fibs = [0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0] return {f"Fib {int(f*100)}%": round(swing_high-diff*f, 4) for f in fibs}

[ METADATA ]

CategoryChart Analysis

ComplexityBeginner

LanguagePython 3.10+

TagsFibonacci, S&R

[ ASK CLAUDE ]

Ask AI about this skill before installing it.

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