def test_adx_pos(self):
target = '+DI14'
result = adx_pos(high=self._df['High'],
low=self._df['Low'],
close=self._df['Close'],
n=14,
fillna=False)
pd.testing.assert_series_equal(self._df[target].tail(),
result.tail(),
check_names=False)
def test_adx_pos(self):
target = '+DI14'
result = adx_pos(**self._params)
pd.testing.assert_series_equal(self._df[target].tail(),
result.tail(),
check_names=False)
def calculate_Trend_Indicators():
JSON_sent = request.get_json()
if len(JSON_sent[0]) > 0:
df = pd.DataFrame(JSON_sent[0])
_, sma, ema, macdDict, macdSignal, adxDict, adxPos, adxNeg, VIpos, VIneg, trixDict, mi, dpoDict = JSON_sent
if sma['displaySMA']:
indicator_sma = sma_indicator(close=df['close'], n=sma['nForSMA'])
df['sma'] = indicator_sma
if ema['displayEMA']:
indicator_ema = ema_indicator(close=df['close'], n=ema['nForEMA'])
df['ema'] = indicator_ema
if macdDict['displayMACD']:
indicator_macd = macd(close=df['close'],
n_slow=macdDict['nSlowForMACD'],
n_fast=macdDict['nFastForMACD'])
df['macd'] = indicator_macd
if macdSignal['displayMACDsignal']:
indicator_macdSignal = macd_signal(
close=df['close'],
n_slow=macdSignal['nSlowForMACDsignal'],
n_fast=macdSignal['nFastForMACDsignal'],
n_sign=macdSignal['nSignForMACDsignal'])
df['macds'] = indicator_macdSignal
if adxDict['displayADX']:
indicator_ADX = adx(high=df['high'],
low=df['low'],
close=df['close'],
n=adxDict['nForADX'])
df['adx'] = indicator_ADX
if adxPos['displayADXP']:
indicator_ADXpositive = adx_pos(high=df['high'],
low=df['low'],
close=df['close'],
n=adxPos['nForADXP'])
df['adxp'] = indicator_ADXpositive
if adxNeg['displayADXN']:
indicator_ADXnegative = adx_neg(high=df['high'],
low=df['low'],
close=df['close'],
n=adxNeg['nForADXN'])
df['adxn'] = indicator_ADXnegative
if VIpos['displayVIPOS']:
indicator_VIpositive = vortex_indicator_pos(high=df['high'],
low=df['low'],
close=df['close'],
n=VIpos['nForVIPOS'])
df['vipos'] = indicator_VIpositive
if VIneg['displayVINEG']:
indicator_VInegative = vortex_indicator_neg(high=df['high'],
low=df['low'],
close=df['close'],
n=VIneg['nForVINEG'])
df['vineg'] = indicator_VInegative
if trixDict['displayTRIX']:
indicator_TRIX = trix(close=df['close'], n=trixDict['nForTRIX'])
df['trix'] = indicator_TRIX
if mi['displayMI']:
indicator_MassIndex = mass_index(high=df['high'],
low=df['low'],
n=mi['nForMI'],
n2=mi['n2ForMI'])
df['mi'] = indicator_MassIndex
if dpoDict['displayDPO']:
indicator_dpo = dpo(close=df['close'], n=dpoDict['nForDPO'])
df['dpo'] = indicator_dpo
df.fillna(0, inplace=True)
return (json.dumps(df.to_dict('records')))
else:
df = pd.DataFrame([])
return (json.dumps(df.to_dict('records')))