Exemple #1
0
    def __init__(self):
        super().__init__()

        self.setWindowTitle("QGraphicsView")
        layout = QGridLayout()
        self.setLayout(layout)
        self.resize(800, 300)
        self.ws = BinanceFutureWebsocket()

        plots = {}
        fplt.y_pad = 0.07  # pad some extra (for control panel)
        fplt.max_zoom_points = 7
        fplt.autoviewrestore()
        self.ax, self.ax_rsi = fplt.create_plot('Complicated Binance Futures Example', rows=2, init_zoom_periods=3000)
        self.axo = self.ax.overlay()
        layout.addWidget(self.ax.vb.win, 0, 0)

        self.ax_rsi.hide()
        self.ax_rsi.vb.setBackgroundColor(None)  # don't use odd background color
        self.ax.set_visible(xaxis=True)

        self.symbol = "BTCUSDT"
        self.interval = "1m"

        self.change_asset()
        fplt.timer_callback(self.realtime_update_plot, 1)  # update every second
        fplt.show(qt_exec=False)
Exemple #2
0
def drawCandleStickChart(timestamp, openVal, high, low, closeVal, volume,
                         exchange, symbol):
    # create two plots
    ax = fplt.create_plot(exchange + '-' + symbol, rows=1)

    # plot candle sticks
    candles = [timestamp, openVal, closeVal, high, low]
    fplt.candlestick_ochl(candles, ax=ax)

    # # put an MA on the close price
    # fplt.plot(timestamp, closeVal.rolling(25).mean(), ax=ax, legend='ma-25')

    # overlay volume on the top plot
    volumes = [timestamp, openVal, closeVal, volume]
    fplt.volume_ocv(volumes, ax=ax.overlay())

    # restore view (X-position and zoom) if we ever run this example again
    fplt.autoviewrestore()

    # we're done
    fplt.show()
Exemple #3
0
#fplt.plot(df['time'], maxim, ax=ax, legend='maxim')
#fplt.plot(df['time'], minim, ax=ax, legend='minim')

# draw second plot
for i, window in enumerate(windows):
    if (i < 5):
        fplt.plot(df['time'],
                  volatility[i],
                  ax=ax2,
                  legend='volatility ' + str(window))
    if (i >= 5):
        fplt.plot(df['time'],
                  volatility[i],
                  ax=ax3,
                  legend='volatility ' + str(window))
#fplt.set_y_range(0, 0.005, ax=ax2) # hard-code y-axis range limitation

# draw third plot
#fplt.plot(df['time'], volatility_diff, ax=ax3, color='#927', legend='volatility_diff')

# draw fourth plot
#fplt.plot(df['time'], open_price_position_relative_to_volatility_box, ax=ax4, color='#927', legend='open_price_position_relative_to_volatility_box')

# restore view (X-position and zoom) if we ever run this example again
fplt.autoviewrestore()

# we're done
fplt.show()

# %%
i = 1
Exemple #4
0
 def draw_plot(self, plot_title, kbars):
     fplt = self.setup_plot(plot_title, kbars)
     fplt.autoviewrestore()
     fplt.show()