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calculate_ema

IndicatorsEMAIndicator

INSTALLATION

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

#or paste directly into your Claude Code terminal

[ ABOUT ]

Computes the Exponential Moving Average using the standard multiplier `k = 2 / (period + 1)`. Initializes with the first data point as the seed value, then applies the recursive formula `EMA = price × k + prev_EMA × (1 − k)` for each subsequent bar. Returns the full EMA series as a list.

The EMA gives more weight to recent prices than a simple moving average, making it more responsive to short-term price changes. This function is the foundation for `calculate_macd`, `identify_trend_direction`, and the golden/death cross scanners — all of which call `calc_ema` internally with different period parameters.

[ USAGE EXAMPLE ]

example.py

ema20 = calc_ema(close, period=20)
ema50 = calc_ema(close, period=50)
cross = "golden" if ema20[-1] > ema50[-1] else "death"

[ FULL CODE ]

calculate_ema.py

def calc_ema(data, period): k = 2 / (period + 1) ema = [data[0]] for price in data[1:]: ema.append(price*k + ema[-1]*(1-k)) return ema

[ METADATA ]

CategoryIndicators

ComplexityBeginner

LanguagePython 3.10+

TagsEMA, Indicator

[ ASK CLAUDE ]

Ask AI about this skill before installing it.

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