def AddIndicators(df):
# Add Simple Moving Average (SMA) indicators
df["sma7"] = SMAIndicator(close=df["Close"], window=7,
fillna=True).sma_indicator()
df["sma25"] = SMAIndicator(close=df["Close"], window=25,
fillna=True).sma_indicator()
df["sma99"] = SMAIndicator(close=df["Close"], window=99,
fillna=True).sma_indicator()
# Add Bollinger Bands indicator
indicator_bb = BollingerBands(close=df["Close"], window=20, window_dev=2)
df['bb_bbm'] = indicator_bb.bollinger_mavg()
df['bb_bbh'] = indicator_bb.bollinger_hband()
df['bb_bbl'] = indicator_bb.bollinger_lband()
# Add Parabolic Stop and Reverse (Parabolic SAR) indicator
indicator_psar = PSARIndicator(high=df["High"],
low=df["Low"],
close=df["Close"],
step=0.02,
max_step=2,
fillna=True)
df['psar'] = indicator_psar.psar()
# Add Moving Average Convergence Divergence (MACD) indicator
df["MACD"] = macd(close=df["Close"],
window_slow=26,
window_fast=12,
fillna=True) # mazas
# Add Relative Strength Index (RSI) indicator
df["RSI"] = rsi(close=df["Close"], window=14, fillna=True) # mazas
return df
def AddIndicators(df):
# Add Parabolic Stop and Reverse (Parabolic SAR) indicator
indicator_psar = PSARIndicator(high=df["High"],
low=df["Low"],
close=df["Close"],
step=0.02,
max_step=2,
fillna=True)
df['psar'] = indicator_psar.psar()
return df