def plotCandleStickChart(cls, df, plot_ha=False, ema=[], ema_ha=[], snr=[], alignment="horizontal", log=None, status=None, init_zoom_periods=120):
if status:
status.info("updating candlestick charts ...")
if not plot_ha:
(gv, list_ax) = cls.blankGraphicsWidget(alignment=alignment, num_rows=1, init_zoom_periods=init_zoom_periods)
ax_candle = list_ax
else:
(gv, list_ax) = cls.blankGraphicsWidget(alignment=alignment, num_rows=2, init_zoom_periods=init_zoom_periods)
ax_candle = list_ax[0]
ax_ha = list_ax[1]
cls.plotHA(df, ax_ha)
for ema_tf in ema_ha:
cls.plotEma(df, ax_ha, ema_tf)
print("---check :: --- ")
print("gv " + str(sip.isdeleted(gv)))
#print("flpt: " + str(sip.isdeleted(fplt)))
cls.plotCandles(df, ax_candle)
for ema_tf in ema:
cls.plotEma(df, ax_candle, ema_tf)
for price in snr:
for i in range(-5, 5):
fplt.add_line((0, price + i), (df.shape[0], price + i), interactive=True)
if status:
status.info("updated candlestick charts.")
print("gv " + str(sip.isdeleted(gv)))
#print("gv " + str(sip.isdeleted(fplt)))
#fplt.show(qt_exec=False) ## c/c++ object error
#print(gv)
#print(list_ax)
return (gv, list_ax)
def _redrawLine(self, priceText: str, fromTimestamp, toTimestamp,
color: str):
if priceText:
price = float(priceText)
finplot.add_line((fromTimestamp, price), (toTimestamp, price),
color=color,
interactive=False)
def _drawStopPriceIntersection(self, df, first_intersection, stopPrice,
y_max, y_min):
price = float(stopPrice)
stop_df = df[df['DateTime'] > first_intersection['DateTime']]
intersections = stop_df[self._ochlIntersectionMask(stop_df, price)]
intersections.reset_index(inplace=True)
size = len(intersections)
if size > 0:
candle = intersections.iloc[0]
finplot.add_line((candle['DateTime'], y_min),
(candle['DateTime'], y_max),
color='f7ff00',
interactive=False,
width=3)
def _drawEntryPriceIntersection(self, df, entryPrice, first_intersection,
int_step):
price = float(entryPrice)
intersections = df[self._ochlIntersectionMask(df, price)]
intersections.reset_index(inplace=True)
size = len(intersections)
if size > 0:
first_intersection = intersections.iloc[0]
candle = intersections.iloc[0]
finplot.add_line((candle['DateTime'], price + int_step),
(candle['DateTime'], price - int_step),
color='9900ff',
interactive=False,
width=3)
return first_intersection
#!/usr/bin/env python3
import finplot as fplt
import numpy as np
import pandas as pd
dates = pd.date_range('01:00', '01:00:01.200', freq='1ms')
prices = pd.Series(np.random.random(len(dates))).rolling(30).mean() + 4
fplt.plot(dates, prices, width=3)
line = fplt.add_line((dates[100], 4.4), (dates[1100], 4.6), color='#9900ff', interactive=True)
## fplt.remove_primitive(line)
text = fplt.add_text((dates[500], 4.6), "I'm here alright!", color='#bb7700')
## fplt.remove_primitive(text)
rect = fplt.add_rect((dates[700], 4.5), (dates[850], 4.4), color='#8c8', interactive=True)
## fplt.remove_primitive(rect)
def save():
fplt.screenshot(open('screenshot.png', 'wb'))
fplt.timer_callback(save, 0.5, single_shot=True) # wait some until we're rendered
fplt.show()
daily_plot = fplt.candlestick_ochl(dfd.dropna(), candle_width=5)
daily_plot.colors.update(
dict(bull_body='#bfb',
bull_shadow='#ada',
bear_body='#fbc',
bear_shadow='#dab'))
daily_plot.x_offset = 3.1 # resample() gets us start of day, offset +1.1 (gap+off center wick)
# plot high resolution on top
fplt.candlestick_ochl(df[['Open', 'Close', 'High', 'Low']])
# scatter plot correlation between Google and Microsoft stock
df['ret_alphabet'] = df.Close.pct_change()
df['ret_microsoft'] = dfms.Close.pct_change()
dfc = df.dropna().reset_index(drop=True)[['ret_alphabet', 'ret_microsoft']]
fplt.plot(dfc, style='o', color=1, ax=ax2)
# draw least-square line
errfun = lambda arr: [
y - arr[0] * x + arr[1]
for x, y in zip(dfc.ret_alphabet, dfc.ret_microsoft)
]
line = scipy.optimize.least_squares(errfun, [0.01, 0.01]).x
linex = [dfc.ret_alphabet.min(), dfc.ret_alphabet.max()]
liney = [linex[0] * line[0] + line[1], linex[1] * line[0] + line[1]]
fplt.add_line((linex[0], liney[0]), (linex[1], liney[1]), color='#993', ax=ax2)
fplt.add_text((linex[1], liney[1]), 'k=%.2f' % line[0], color='#993', ax=ax2)
fplt.add_legend('Alphabet vs. Microsft 90m correlation', ax=ax2)
fplt.show()
import finplot as fplt
import requests
import pandas as pd
now = date.today().strftime('%Y-%m-%d')
r = requests.get(
'https://www.bitstamp.net/api-internal/tradeview/price-history/BTC/USD/?step=86400&start_datetime=2011-08-18T00:00:00.000Z&end_datetime=%sT00:00:00.000Z'
% now)
df = pd.DataFrame(r.json()['data']).astype({
'timestamp': int,
'open': float,
'close': float,
'high': float,
'low': float
}).set_index('timestamp')
# plot price
fplt.create_plot('Bitcoin 2011-%s' % now.split('-')[0], yscale='log')
fplt.candlestick_ochl(df['open close high low'.split()])
# monthly separator lines
months = pd.to_datetime(df.index, unit='s').strftime('%m')
last_month = ''
for x, (month, price) in enumerate(zip(months, df.close)):
if month != last_month:
fplt.add_line((x - 0.5, price * 0.5), (x - 0.5, price * 2),
color='#bbb',
style='--')
last_month = month
fplt.show()