test / app.py
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import asyncio
import json
import logging
import time
import bisect
from aiohttp import web
import websockets
# --- Configuration ---
SYMBOL_KRAKEN = "BTC/USD"
PORT = 7860
HISTORY_LENGTH = 300
# --- Logging ---
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
# --- In-Memory State ---
market_state = {
"bids": {},
"asks": {},
"history": [],
"current_mid": 0.0,
"ready": False
}
# --- HTML Frontend (Plotly.js) ---
HTML_PAGE = f"""
<!DOCTYPE html>
<html>
<head>
<title>BTC-USD Integral Analysis</title>
<script src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>
<style>
body {{ margin: 0; padding: 0; background-color: #0e0e0e; color: #ccc; font-family: sans-serif; overflow: hidden; }}
/* Layout Grid */
#container {{ display: flex; flex-direction: column; height: 100vh; width: 100vw; }}
/* Row 1: Price & Pressure % */
#row-top {{ flex: 1; display: flex; width: 100%; border-bottom: 1px solid #333; }}
/* Row 2: Volume & Integral */
#row-bot {{ flex: 1; display: flex; width: 100%; }}
/* Columns */
.col-left {{ width: 50%; border-right: 1px solid #333; position: relative; }}
.col-right {{ width: 50%; position: relative; }}
/* Charts fill their containers */
.chart {{ width: 100%; height: 100%; }}
/* Status Badge */
#status {{ position: absolute; top: 10px; left: 60px; z-index: 100; font-size: 14px; background: rgba(0,0,0,0.7); padding: 5px 10px; border-radius: 4px; pointer-events: none; border: 1px solid #333; }}
.green {{ color: #00e676; }}
.red {{ color: #ff1744; }}
</style>
</head>
<body>
<div id="status">Connecting...</div>
<div id="container">
<!-- TOP ROW -->
<div id="row-top">
<div class="col-left">
<div id="price-chart" class="chart"></div>
</div>
<div class="col-right">
<div id="imb-percent-chart" class="chart"></div>
</div>
</div>
<!-- BOTTOM ROW -->
<div id="row-bot">
<div class="col-left">
<!-- Moved Volume Chart Here -->
<div id="vol-chart" class="chart"></div>
</div>
<div class="col-right">
<!-- New Integral Chart Here -->
<div id="integral-chart" class="chart"></div>
</div>
</div>
</div>
<script>
const priceDiv = document.getElementById('price-chart');
const imbPercentDiv = document.getElementById('imb-percent-chart');
const volDiv = document.getElementById('vol-chart');
const integDiv = document.getElementById('integral-chart');
const statusDiv = document.getElementById('status');
let initPrice = false;
let initImbP = false;
let initVol = false;
let initInteg = false;
const commonConfig = {{ responsive: true, displayModeBar: false }};
const commonLayout = {{
paper_bgcolor: '#0e0e0e',
plot_bgcolor: '#0e0e0e',
font: {{ color: '#aaa' }},
margin: {{ t: 40, b: 30, l: 50, r: 20 }},
showlegend: false,
xaxis: {{ gridcolor: '#222' }},
yaxis: {{ gridcolor: '#222' }}
}};
async function updateCharts() {{
try {{
const res = await fetch('/data');
const data = await res.json();
if (data.error) {{
statusDiv.innerHTML = "Waiting for data...";
return;
}}
statusDiv.innerHTML = `Mid: <span class="${{data.mid >= data.prev_mid ? 'green' : 'red'}}">$${{data.mid.toLocaleString(undefined, {{minimumFractionDigits: 2}})}}</span> | Integral: ${{data.integral.last_val ? data.integral.last_val.toFixed(0) : 0}}`;
// 1. PRICE HISTORY (Top Left)
if (!initPrice) {{
Plotly.newPlot(priceDiv, [{{ x: data.history.map(d=>new Date(d.t*1000)), y: data.history.map(d=>d.p), type: 'scatter', mode:'lines', line: {{color: '#29b6f6', width: 2}} }}],
{{ ...commonLayout, title: '<b>Midprice History</b>', xaxis: {{type:'date', gridcolor:'#222'}} }}, commonConfig);
initPrice = true;
}} else {{
Plotly.react(priceDiv, [{{ x: data.history.map(d=>new Date(d.t*1000)), y: data.history.map(d=>d.p), type: 'scatter', mode:'lines', line: {{color: '#29b6f6', width: 2}} }}],
{{ ...commonLayout, title: '<b>Midprice History</b>', xaxis: {{type:'date', gridcolor:'#222'}} }}, commonConfig);
}}
// 2. IMBALANCE % (Top Right)
const layoutImbP = {{ ...commonLayout, title: '<b>Liquidity Pressure (-100% to +100%)</b>', xaxis: {{title: 'Distance ($)', gridcolor:'#222'}}, yaxis: {{range: [-105, 105], gridcolor:'#222', zeroline: true}} }};
const traceImbP = {{ x: data.imbalance_pct.x, y: data.imbalance_pct.y, type: 'scatter', mode: 'lines', fill: 'tozeroy', line: {{color: '#ffeb3b', width: 2}} }};
if (!initImbP) {{ Plotly.newPlot(imbPercentDiv, [traceImbP], layoutImbP, commonConfig); initImbP = true; }}
else {{ Plotly.react(imbPercentDiv, [traceImbP], layoutImbP, commonConfig); }}
// 3. VOLUME BY DISTANCE (Bottom Left - Moved)
const layoutVol = {{ ...commonLayout, title: '<b>Volume by Distance</b>', xaxis: {{title: 'Distance ($)', gridcolor:'#222'}} }};
const tracesVol = [
{{ x: data.imbalance_vol.dist_bids, y: data.imbalance_vol.vol_bids, type: 'scatter', name: 'Bid', line: {{color: '#00e676'}} }},
{{ x: data.imbalance_vol.dist_asks, y: data.imbalance_vol.vol_asks, type: 'scatter', name: 'Ask', line: {{color: '#ff1744'}} }}
];
if (!initVol) {{ Plotly.newPlot(volDiv, tracesVol, layoutVol, commonConfig); initVol = true; }}
else {{ Plotly.react(volDiv, tracesVol, layoutVol, commonConfig); }}
// 4. INTEGRAL OF PRESSURE (Bottom Right - New)
const layoutInteg = {{ ...commonLayout,
title: '<b>Cumulative Pressure (Integration)</b>',
xaxis: {{title: 'Distance ($)', gridcolor:'#222'}},
yaxis: {{gridcolor:'#222', zeroline: true}}
}};
// Color based on if total is positive or negative
const integColor = (data.integral.last_val >= 0) ? '#e040fb' : '#e040fb';
const traceInteg = {{
x: data.integral.x,
y: data.integral.y,
type: 'scatter',
mode: 'lines',
fill: 'tozeroy',
line: {{color: integColor, width: 2}}
}};
if (!initInteg) {{ Plotly.newPlot(integDiv, [traceInteg], layoutInteg, commonConfig); initInteg = true; }}
else {{ Plotly.react(integDiv, [traceInteg], layoutInteg, commonConfig); }}
}} catch (e) {{ console.error("Fetch error:", e); }}
}}
setInterval(updateCharts, 500);
</script>
</body>
</html>
"""
async def kraken_worker():
global market_state
while True:
try:
async with websockets.connect("wss://ws.kraken.com/v2") as ws:
logging.info(f"๐Ÿ”Œ Connected to Kraken ({SYMBOL_KRAKEN})")
await ws.send(json.dumps({
"method": "subscribe",
"params": {"channel": "book", "symbol": [SYMBOL_KRAKEN], "depth": 500}
}))
async for message in ws:
payload = json.loads(message)
channel = payload.get("channel")
data_entries = payload.get("data", [])
if channel == "book":
for item in data_entries:
for bid in item.get('bids', []):
q, p = float(bid['qty']), float(bid['price'])
if q == 0: market_state['bids'].pop(p, None)
else: market_state['bids'][p] = q
for ask in item.get('asks', []):
q, p = float(ask['qty']), float(ask['price'])
if q == 0: market_state['asks'].pop(p, None)
else: market_state['asks'][p] = q
if market_state['bids'] and market_state['asks']:
best_bid = max(market_state['bids'].keys())
best_ask = min(market_state['asks'].keys())
mid = (best_bid + best_ask) / 2
market_state['current_mid'] = mid
market_state['ready'] = True
now = time.time()
if not market_state['history'] or (now - market_state['history'][-1]['t'] > 0.5):
market_state['history'].append({'t': now, 'p': mid})
if len(market_state['history']) > HISTORY_LENGTH:
market_state['history'].pop(0)
except Exception as e:
logging.warning(f"โš ๏ธ Reconnecting: {e}")
await asyncio.sleep(3)
async def handle_index(request):
return web.Response(text=HTML_PAGE, content_type='text/html')
async def handle_data(request):
if not market_state['ready']:
return web.json_response({"error": "Initializing..."})
mid = market_state['current_mid']
# --- Raw Data ---
raw_bids = sorted(market_state['bids'].items(), key=lambda x: -x[0])[:300]
raw_asks = sorted(market_state['asks'].items(), key=lambda x: x[0])[:300]
# --- Distance Data ---
dist_bids = [(mid - p, q) for p, q in raw_bids if mid - p >= 0]
d_b_x, d_b_y = [], []
cum_d = 0
for d, q in dist_bids:
cum_d += q
d_b_x.append(d); d_b_y.append(cum_d)
dist_asks = [(p - mid, q) for p, q in raw_asks if p - mid >= 0]
d_a_x, d_a_y = [], []
cum_d = 0
for d, q in dist_asks:
cum_d += q
d_a_x.append(d); d_a_y.append(cum_d)
# --- Imbalance % & Integration ---
imb_x, imb_y = [], []
integ_x, integ_y = [], []
running_integral = 0
if d_b_x and d_a_x:
max_dist = min(d_b_x[-1], d_a_x[-1])
step_size = max_dist / 100
steps = [i * step_size for i in range(1, 101)]
for s in steps:
# 1. Calculate Imbalance %
idx_b = bisect.bisect_right(d_b_x, s)
vol_b = d_b_y[idx_b-1] if idx_b > 0 else 0
idx_a = bisect.bisect_right(d_a_x, s)
vol_a = d_a_y[idx_a-1] if idx_a > 0 else 0
total_vol = vol_b + vol_a
pct = 0
if total_vol > 0:
pct = ((vol_b - vol_a) / total_vol) * 100
imb_x.append(s)
imb_y.append(pct)
# 2. Calculate Integration (Cumulative Sum of Pressure)
running_integral += pct
integ_x.append(s)
integ_y.append(running_integral)
return web.json_response({
"mid": mid,
"prev_mid": market_state['history'][-2]['p'] if len(market_state['history']) > 1 else mid,
"imbalance_vol": { "dist_bids": d_b_x, "vol_bids": d_b_y, "dist_asks": d_a_x, "vol_asks": d_a_y },
"imbalance_pct": { "x": imb_x, "y": imb_y, "last_val": imb_y[-1] if imb_y else 0 },
"integral": { "x": integ_x, "y": integ_y, "last_val": integ_y[-1] if integ_y else 0 },
"history": market_state['history']
})
async def start_background(app):
app['kraken_task'] = asyncio.create_task(kraken_worker())
async def cleanup_background(app):
app['kraken_task'].cancel()
try: await app['kraken_task']
except asyncio.CancelledError: pass
async def main():
app = web.Application()
app.router.add_get('/', handle_index)
app.router.add_get('/data', handle_data)
app.on_startup.append(start_background)
app.on_cleanup.append(cleanup_background)
runner = web.AppRunner(app)
await runner.setup()
site = web.TCPSite(runner, '0.0.0.0', PORT)
await site.start()
print(f"๐Ÿš€ BTC-USD Integral Dashboard: http://localhost:{PORT}")
await asyncio.Event().wait()
if __name__ == "__main__":
try: asyncio.run(main())
except KeyboardInterrupt: pass