Fmcbr Indicator _verified_ -

To track momentum and look for divergences.

def calculate_fmcbr(df, macd_fast=12, macd_slow=26, macd_signal=9, bb_period=20, bb_std=2): # MACD Histogram exp1 = df['close'].ewm(span=macd_fast, adjust=False).mean() exp2 = df['close'].ewm(span=macd_slow, adjust=False).mean() macd_line = exp1 - exp2 signal_line = macd_line.ewm(span=macd_signal, adjust=False).mean() macd_hist = macd_line - signal_line # Bollinger Bands sma = df['close'].rolling(window=bb_period).mean() std = df['close'].rolling(window=bb_period).std() bb_upper = sma + (bb_std * std) bb_lower = sma - (bb_std * std) fmcbr indicator

: A common risk. Traders use volume or secondary "retest" confirmations to avoid being trapped in a "fakeout". To track momentum and look for divergences