def computeVarAndStatus(df, historyData, refDay=1, percentVarNeg=-0.05, percentVarPos=0.05):
for ind in range(len(df)):
historyData = getStockData(df.iloc[ind]['stockname'])
df.loc[df['stockname'] == df.iloc[ind]['stockname'], 'var1Neg'] = checkVarNeg(df.iloc[ind], historyData, refDay, percentVarNeg)
df.loc[df['stockname'] == df.iloc[ind]['stockname'], 'var1Pos'] = checkVarPos(df.iloc[ind], historyData, refDay, percentVarPos)
df.loc[df['stockname'] == df.iloc[ind]['stockname'], 'var1day'] = computeVar(df.iloc[ind], historyData, refDay)
return df
def graphEvolutionTitre(stockname):
data = loadStocks('mystocks.json')
histData = getStockData(stockname)
histDataIntra = getStockIntradayData(stockname)
listData = [getValueDays(stockname, histData, 30 * months) for months in [12, 6, 3, 1, 1/30, 0]]
listData = (np.array(listData) - listData[-2]) / listData[-2] * 100
dataFig = []
dataFig.append({
'x': ['1 year ago', 'six months ago', 'three months ago', 'last month', 'yesterday', 'now'],
'y': listData,
'type': 'bar',
})
fig = go.Figure(data=dataFig, layout={'title': stockname + ' Progression du titre sur 1 an'})
fig.update_layout(template="plotly_dark", xaxis_rangeslider_visible=False, showlegend=False)
return fig
def graphDataForStock(stockname, freq=1, unit='D', histoDepth=timedelta(days=60)):
df = loadStocks('mystocks.json')
if unit in ['T', 'H']:
historyData = getStockIntradayData(stockname)
else:
historyData = getStockData(stockname)
historyData = updateOHLC(historyData, freq=freq, unit=unit)
startDate=datetime.now() - histoDepth
startDate = startDate.replace(hour=0)
if len(historyData) > 0 and len(historyData[historyData.index > startDate]) > 0:
timestampStart = historyData.index.get_loc(historyData[historyData.index > startDate].iloc[0].name)
historyData = historyData.iloc[timestampStart - ((52 + 27)):]
histo = computeIchimoku(historyData)
histo = histo[histo.index > startDate]
histo.index = histo.index + pd.DateOffset(hours=1)
return graphGenericStock(df[(df['stockname'] == stockname) & (df['boughtDate'] > datetime.now() - histoDepth)], histo, stockname=stockname)
else:
return None
def test_getStockData(self):
getStockData('SO.PA')
self.assertTrue(True)
def test_computeVarAndStatus(self):
computeVarAndStatus(pd.DataFrame([{'stockname': 'SO.PA'}]), getStockData('SO.PA'), refDay=1, percentVarNeg=-0.05, percentVarPos=0.05)
self.assertTrue(True)
def test_checkVarNeg(self):
checkVarNeg(pd.Series({'stockname': 'SO.PA'}), getStockData('SO.PA'), refDay=1, percentVar=-0.05)
self.assertTrue(True)
def test_computeVar(self):
computeVar(pd.Series({'stockname': 'SO.PA'}), getStockData('SO.PA'), refDay=1)
self.assertTrue(True)
def test_getValueDays(self):
getValueDays('SO.PA', getStockData('SO.PA'), 0)
getValueDays('SO.PA', getStockData('SO.PA'), 1)
getValueDays('SO.PA', getStockData('SO.PA'), 2)
getValueDays('SO.PA', getStockData('SO.PA'), 3)
self.assertTrue(True)
def test_computeIchimoku(self):
computeIchimoku(getStockData('SO.PA'))
self.assertTrue(True)