def setup(self, df):
self.df = df
AddIndicator(self.df, "rsi", "rsi_" + str(self.rsi_len_1),
self.rsi_len_1)
AddIndicator(self.df, "rsi", "rsi_" + str(self.rsi_len_2),
self.rsi_len_2)
AddIndicator(self.df, "rsi", "rsi_" + str(self.rsi_len_3),
self.rsi_len_3)
def setUp(self, df):
self.df = df
if self.indicators is not None:
# Create all asked indicators
for indicator in self.indicators:
exclude_keys = set(
['indicator_name', 'col_name', 'indicator_function'])
args = [
indicator[k]
for k in set(list(indicator.keys())) - exclude_keys
]
if 'indicator_function' in indicator.keys():
col_name = indicator['col_name']
indicator_function = indicator['indicator_function']
ret = indicator_function(self.df, *args)
cols_dict = dict()
i = 0
for cname in col_name:
cols_dict[cname] = ret[i]
i += 1
self.df = self.df.assign(**cols_dict)
else:
# Create a list of all arguments that are not the
# indicator name or column name
AddIndicator(self.df, indicator['indicator_name'],
indicator['col_name'], *args)
def Maine():
exchange = Binance()
symbol = 'BTCUSDT'
df = exchange.getOHLCV(symbol, '1d')
AddIndicator(df, 'sma', 'volma', 'volume', 10)
signal = df.loc[df['volume'] > 2.4 * df['volma']]
s_list = [
dict(name='S/R',
points=[(row['time'],
row['high']) if row['close'] > row['open'] else
(row['time'], row['low'])
for i, row in signal.iterrows()])
]
HA(df, ['open', 'high', 'low', 'close'])
ha_df = df
ha_df['open'] = df['HA_open']
ha_df['high'] = df['HA_high']
ha_df['low'] = df['HA_low']
ha_df['close'] = df['HA_close']
lines = []
last_time = df['time'][len(df) - 1]
for s in s_list[0]['points']:
line = go.layout.Shape(
type="line",
x0=s[0],
y0=s[1],
x1=last_time,
y1=s[1],
)
lines.append(line)
PlotData(
ha_df,
show_plot=True,
signals=s_list,
plot_shapes=lines,
plot_indicators=[dict(name='volma', title="Volume MA", yaxis='y2')])
def setup(self, df):
self.df = df
AddIndicator(self.df, "ott", ["var", "ott"], self.pds, self.percent)
def setup(self, df): self.df = df AddIndicator(self.df, "smoothrng", "smoothrng_"+str(self.per), self.per, self.mult)