Spaces:
Sleeping
Sleeping
File size: 2,424 Bytes
a227866 25397f0 d65815d 0b0540e d65815d 25397f0 d65815d 0b0540e d65815d 25397f0 d65815d 25397f0 d65815d 25397f0 d65815d 25397f0 d65815d 25397f0 d65815d 25397f0 0b0540e d65815d 25397f0 d65815d 25397f0 a227866 d65815d 25397f0 0b0540e d65815d 0b0540e d65815d a227866 25397f0 d65815d 25397f0 a227866 d65815d a227866 d65815d 25397f0 d65815d a227866 d65815d 25397f0 d65815d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
import panel as pn
import pandas as pd
import numpy as np
import hvplot.pandas
import asyncio
from datetime import datetime, timedelta
pn.extension('tabulator', 'plotly', sizing_mode="stretch_width")
# --- Dummy Data Generator ---
def generate_dummy_data(n=100):
start = datetime.now() - timedelta(minutes=n)
times = [start + timedelta(minutes=i) for i in range(n)]
prices = 100 + np.random.randn(n).cumsum()
return pd.DataFrame({'Time': times, 'Price': prices}).set_index('Time')
def generate_ai_signal(price):
mod = price % 10
if mod < 3:
return 'BUY', 'green'
elif mod > 7:
return 'SELL', 'red'
return 'HOLD', 'orange'
data = generate_dummy_data()
signal, color = generate_ai_signal(data['Price'].iloc[-1])
# --- Widgets ---
symbol_input = pn.widgets.TextInput(name='Stock Symbol', value='AI_STOCK')
interval_slider = pn.widgets.IntSlider(name='Update Interval (s)', start=1, end=10, step=1, value=2)
signal_display = pn.indicators.Number(
name='AI Signal',
value=0,
format=signal,
font_size='36pt',
colors=[(999, color)]
)
metrics_table = pn.widgets.Tabulator(pd.DataFrame({
'Metric': ['Win Rate', 'Profit Factor', 'Sharpe Ratio'],
'Value': ['62%', '1.85', '1.2']
}), disabled=True, selectable=False)
chart = data.hvplot.line(y='Price', title="📈 Live Stock Price", height=400, line_width=3).opts(yformatter="%.2f")
stream = hvplot.streams.Buffer(data, index=False, length=100)
chart.update(stream)
# --- Layout ---
sidebar = pn.Column(
"## ⚙️ Controls", symbol_input, interval_slider,
"## 🤖 AI Signal", signal_display,
"## 📊 Metrics", metrics_table,
width=300
)
main_area = pn.Column(chart)
template = pn.template.FastListTemplate(
site="AI Trader",
title="📊 AI Trading Dashboard",
sidebar=[sidebar],
main=[main_area]
)
# --- Async Update Logic ---
async def updater():
while True:
await asyncio.sleep(interval_slider.value)
new_time = data.index[-1] + timedelta(seconds=10)
new_price = data['Price'].iloc[-1] + np.random.randn() * 0.5
new_df = pd.DataFrame([{'Time': new_time, 'Price': new_price}]).set_index('Time')
stream.send(new_df)
new_signal, new_color = generate_ai_signal(new_price)
signal_display.format = new_signal
signal_display.colors = [(999, new_color)]
template.servable()
pn.state.onload(updater)
|