def graph_update(n): df = pd.read_csv('binance_BTCUSDT_1m.txt') df = df.tail(10080) df['time'] = pd.to_datetime(df['time'], unit='s') df['time'] = df['time'] + timedelta(hours=3) layout = Layout(plot_bgcolor='rgb(0, 0, 0)') layout.xaxis.rangeselector.bgcolor = 'grey' layout.hovermode = 'closest' graph_candlestick = go.Figure(go.Candlestick( x=df['time'], open=df['open'], high=df['high'], low=df['low'], close=df['close'] ), layout=layout) graph_candlestick.update_layout(margin=dict(l=50, r=50, b=50, t=20, pad=4)) graph_candlestick.update_layout(template='plotly_dark') graph_candlestick.update_xaxes(showline=True, linewidth=2, linecolor='black', gridcolor='#161616') graph_candlestick.update_yaxes(showline=True, linewidth=2, linecolor='black', gridcolor='#161616') graph_candlestick.update_xaxes(rangeslider_visible=False) graph_candlestick.update_layout( xaxis=dict( rangeselector=dict( buttons=list([ dict(count=5, label="1m", step='minute', stepmode="backward", ), dict(count=25, label="5m", step="minute", stepmode="todate"), dict(count=75, label="10m", step="minute", stepmode="todate"), dict(count=1, label="1h", step="hour", stepmode="todate"), dict(count=3, label="30m", step="hour", stepmode="todate"), dict(count=1, label="1d", step="day", stepmode="todate"), dict(count=3, label="3d", step="day", stepmode="todate"), dict(step="all") ]) ), rangeslider=dict( visible=False ), type="date" ) ) return graph_candlestick
def graph_update(n): df = pd.read_csv('binance_BTCUSDT_1m.txt') stock = Sdf.retype(df) df['signal'] = stock['macds'] df['macd'] = stock['macd'] df['hist'] = stock['macdh'] rsi_6 = stock["rsi_6"] rsi_12 = stock["rsi_12"] df = df.tail(10080) df['time'] = pd.to_datetime(df['time'], unit='s') df['time'] = df['time'] + timedelta(hours=3) layout = Layout(plot_bgcolor='rgb(0, 0, 0)') layout.xaxis.rangeselector.bgcolor = 'grey' layout.hovermode = 'closest' fig = make_subplots(shared_xaxes=True, rows=4, cols=1, row_heights=[0.6, 0.15, 0.3, 0.3], vertical_spacing=0.009, horizontal_spacing=0.009) fig['layout']['margin'] = {'l': 30, 'r': 10, 'b': 50, 't': 25} graph_candlestick = fig.add_trace(go.Candlestick( x=df['time'], open=df['open'], high=df['high'], low=df['low'], close=df['close'], name='candlestick'), row=1, col=1) fig.update_xaxes(rangeslider_visible=False) ap = fig.add_trace(go.Scatter(name='macd', x=df['time'], y=df['macd'], line=dict(color='blue')), row=3, col=1) ap1 = fig.add_trace(go.Scatter(name='signal', x=df['time'], y=df['signal'], line=dict(color='orange')), row=3, col=1) ap2 = fig.add_trace(go.Bar(name='histogram', x=df['time'], y=df['hist'], marker_color='green'), row=2, col=1) ap2.update_layout(barmode='stack') fig.update_layout(template='plotly_dark') ap3 = fig.add_trace(go.Scatter(x=df['time'], y=list(rsi_6), name="RSI 6 Day"), row=4, col=1) graph_candlestick.update_layout(margin=dict(l=50, r=50, b=50, t=20, pad=4)) graph_candlestick.update_layout(template='plotly_dark') graph_candlestick.update_xaxes(showline=True, linewidth=2, linecolor='black', gridcolor='#161616') graph_candlestick.update_yaxes(showline=True, linewidth=2, linecolor='black', gridcolor='#161616') graph_candlestick.update_xaxes(rangeslider_visible=False) graph_candlestick.update_layout( xaxis=dict( rangeselector=dict( buttons=list([ dict(count=5, label="1m", step='minute', stepmode="backward", ), dict(count=25, label="5m", step="minute", stepmode="todate"), dict(count=75, label="10m", step="minute", stepmode="todate"), dict(count=1, label="1h", step="hour", stepmode="todate"), dict(count=3, label="30m", step="hour", stepmode="todate"), dict(count=1, label="1d", step="day", stepmode="todate"), dict(count=3, label="3d", step="day", stepmode="todate"), dict(step="all") ]) ), rangeslider=dict( visible=False ), type="date" ) ) return graph_candlestick, ap, ap1, ap2, ap3