async def support_resistance(market, candles):
close_prices = [float(i['mid']['c']) for i in candles]
data = np.array(close_prices)
close_series = pd.Series(data)
(minimaIdxs, pmin, mintrend,
minwindows), (maximaIdxs, pmax, maxtrend,
maxwindows) = trendln.calc_support_resistance(close_series)
fig = trendln.plot_support_resistance(close_series)
# plt.savefig('suppres_{}_{}.svg'.format(market, str(datetime.now())), format='svg')
# plt.show()
plt.clf()
return minimaIdxs, pmin, mintrend, minwindows, maximaIdxs, pmax, maxtrend, maxwindows
def drawChart(hist, update):
mins, maxs = trendln.calc_support_resistance(hist[-1000:].close)
minimaIdxs, pmin, mintrend, minwindows = trendln.calc_support_resistance(
(hist[-1000:].low, None)) #support only
mins, maxs = trendln.calc_support_resistance(
(hist[-1000:].low, hist[-1000:].high))
(minimaIdxs, pmin, mintrend, minwindows), (maximaIdxs, pmax, maxtrend,
maxwindows) = mins, maxs
minimaIdxs, maximaIdxs = trendln.get_extrema(hist[-1000:].close)
maximaIdxs = trendln.get_extrema((None, hist[-1000:].high)) #maxima only
minimaIdxs, maximaIdxs = trendln.get_extrema(
(hist[-1000:].low, hist[-1000:].high))
fig = trendln.plot_support_resistance(
hist[-1000:].close) # requires matplotlib - pip install matplotlib
#if not update:
# plt.savefig('suppres.svg', format='svg')
# plt.show()
# plt.clf() #clear figure
fig = trendln.plot_sup_res_date((hist[-1000:].low, hist[-1000:].high),
hist[-1000:].index) #requires pandas
if not update:
plt.show()
curdir = '.'
def drawChart(hist, update):
global support
global resistance
global symbol
try:
mins, maxs = trendln.calc_support_resistance(
(hist[-1000:].low, hist[-1000:].high))
support = mins[1][1]
resistance = maxs[1][1]
print("Current Support : ", support,
" Will buy once " + symbol.upper() + " reaches this number.")
print("Current Resistance : ", resistance)
minimaIdxs, maximaIdxs = trendln.get_extrema(
(hist[-1000:].low, hist[-1000:].high))
fig = trendln.plot_sup_res_date((hist[-1000:].low, hist[-1000:].high),
hist[-1000:].index)
fig.canvas.set_window_title(symbol.upper() + " Bot")
fig.suptitle(symbol.upper() + " Support/Resistance Lines")
plt.draw()
except Exception as e:
print('')
'WHIRLPOOL.NS', 'SYMPHONY.NS', 'HINDCOPPER.NS', 'FLFL.NS', 'ABFRL.NS',
'DMART.NS', 'SHOPERSTOP.NS', 'SPIC.NS', '524013.BO', 'IFCI.NS',
'TFCILTD.NS', 'BATAINDIA.NS', 'KANSAINER.NS', 'EUROCERA.NS',
'BERGEPAINT.NS', 'BHEL.NS', 'THERMAX.NS', 'ITDC.NS', 'PHOENIXTN.BO',
'LEMONTREE.NS', 'TAJGVK.NS', 'INDHOTEL.NS', 'JINDHOT.BO', 'ADVANIHOTR.NS',
'GREAVESCOT.NS', 'RELIANCE.NS', 'MAHSCOOTER.NS', 'JSWSTEEL.NS', 'SAIL.NS',
'GULFOILLUB.NS', 'INOXLEISUR.NS', 'IOC.NS', 'TATAMOTORS.NS'
]
for t in tickers:
try:
start = '2020-03-01'
end = '2020-05-4' #timeframe = '3mo' #30d #1mo, 3mo, max, 1y
hist = yf.download(
t, start, end) # tick.history(period=timeframe, rounding=True)
mins, maxs = trendln.calc_support_resistance(hist[-1000:].Close)
minimaIdxs, pmin, mintrend, minwindows = trendln.calc_support_resistance(
(hist[-1000:].Low, None)) #support only
mins, maxs = trendln.calc_support_resistance(
(hist[-1000:].Low, hist[-1000:].High))
(minimaIdxs, pmin, mintrend, minwindows), (maximaIdxs, pmax, maxtrend,
maxwindows) = mins, maxs
minimaIdxs, maximaIdxs = trendln.get_extrema(hist[-1000:].Close)
maximaIdxs = trendln.get_extrema(
(None, hist[-1000:].High)) #maxima only
minimaIdxs, maximaIdxs = trendln.get_extrema(
(hist[-1000:].Low, hist[-1000:].High))
fig = trendln.plot_support_resistance(
hist[-1000:].Close) # requires matplotlib - pip install matplotlib
t1 = t
t = t + "_" + start + "_" + end + ".png"