def change_asset(*args, **kwargs):
'''Resets and recalculates everything, and plots for the first time.'''
# save window zoom position before resetting
fplt._savewindata(fplt.windows[0])
symbol = ctrl_panel.symbol.currentText()
interval = ctrl_panel.interval.currentText()
ws.df = None
df = load_price_history(symbol, interval=interval)
ws.reconnect(symbol, interval, df)
# remove any previous plots
ax.reset()
axo.reset()
ax_rsi.reset()
# calculate plot data
indicators = ctrl_panel.indicators.currentText().lower()
data,price_data = calc_plot_data(df, indicators)
# some space for legend
ctrl_panel.move(100 if 'clean' in indicators else 200, 0)
# plot data
global plots
plots = {}
plots['price'] = fplt.candlestick_ochl(data['price'], ax=ax)
plots['volume'] = fplt.volume_ocv(data['volume'], ax=axo)
if data['ma50'] is not None:
plots['ma50'] = fplt.plot(data['ma50'], legend='MA-50', ax=ax)
plots['ma200'] = fplt.plot(data['ma200'], legend='MA-200', ax=ax)
plots['vema24'] = fplt.plot(data['vema24'], color=4, legend='V-EMA-24', ax=axo)
if data['rsi'] is not None:
ax.set_visible(xaxis=False)
ax_rsi.show()
fplt.set_y_range(0, 100, ax=ax_rsi)
fplt.add_band(30, 70, color='#6335', ax=ax_rsi)
plots['sar'] = fplt.plot(data['sar'], color='#55a', style='+', width=0.6, legend='SAR', ax=ax)
plots['rsi'] = fplt.plot(data['rsi'], legend='RSI', ax=ax_rsi)
plots['stoch'] = fplt.plot(data['stoch'], color='#880', legend='Stoch', ax=ax_rsi)
plots['stoch_s'] = fplt.plot(data['stoch_s'], color='#650', ax=ax_rsi)
else:
ax.set_visible(xaxis=True)
ax_rsi.hide()
# price line
ax.price_line = pg.InfiniteLine(angle=0, movable=False, pen=fplt._makepen(fplt.candle_bull_body_color, style='.'))
ax.price_line.setPos(price_data['last_close'])
ax.price_line.pen.setColor(pg.mkColor(price_data['last_col']))
ax.addItem(ax.price_line, ignoreBounds=True)
# restores saved zoom position, if in range
fplt.refresh()
def update(txt):
df = download(txt)
if len(df) < 20: # symbol does not exist
return
info.setText('Loading symbol name...')
price = df['Open Close High Low'.split()]
ma20 = df.Close.rolling(20).mean()
ma50 = df.Close.rolling(50).mean()
volume = df['Open Close Volume'.split()]
ax.reset() # remove previous plots
axo.reset() # remove previous plots
fplt.candlestick_ochl(price)
fplt.plot(ma20, legend='MA-20')
fplt.plot(ma50, legend='MA-50')
fplt.volume_ocv(volume, ax=axo)
fplt.refresh() # refresh autoscaling when all plots complete
Thread(target=lambda: info.setText(get_name(txt))).start(
) # slow, so use thread
def plot(txt):
# Get data
df = download(txt)
if len(df) < 20: # symbol does not exist
return
info.setText('Loading symbol name...')
# Cleanup
ax.reset() # remove previous plots
axo.reset() # remove previous plots
# Process result
price = df['Open Close High Low'.split()]
volume = df['Open Close Volume'.split()]
# Indicators
emaShort = df.Close.ewm(span=10,
min_periods=0,
adjust=False,
ignore_na=False).mean()
emaMedium = df.Close.ewm(span=20,
min_periods=0,
adjust=False,
ignore_na=False).mean()
emaLong = df.Close.ewm(span=50,
min_periods=0,
adjust=False,
ignore_na=False).mean()
# Plot data
fplt.candlestick_ochl(price)
fplt.plot(emaShort, legend='EMA-10', color='#00FFFF', width=2)
fplt.plot(emaMedium, legend='EMA-20', width=2)
fplt.plot(emaLong, legend='EMA-50', color='#FF0000', width=2)
fplt.volume_ocv(volume, ax=axo)
fplt.refresh() # refresh autoscaling when all plots complete
Thread(target=lambda: info.setText(get_name(txt))).start(
) # slow, so use thread
def updateCandlePane(self, quotes):
self.ax.reset()
finplot.candlestick_ochl(quotes)
finplot.refresh()
self.hoverLabel = finplot.add_legend('', ax=self.ax)
finplot.set_time_inspector(self.updateLegend, ax=self.ax, when='hover')
