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
