Update app.py
Browse files
app.py
CHANGED
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@@ -6,10 +6,11 @@ from aiohttp import web
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import websockets
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# --- Configuration ---
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-
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PORT = 7860
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HISTORY_LENGTH = 300
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DEPTH_LIMIT =
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# --- Logging ---
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
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@@ -28,24 +29,22 @@ HTML_PAGE = f"""
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<!DOCTYPE html>
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<html>
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<head>
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<title>BTC-USD
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<script src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>
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<style>
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body {{ margin: 0; padding: 0; background-color: #0e0e0e; color: #ccc; font-family: sans-serif; overflow: hidden; }}
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/* Layout: 50% Depth, 25% Ratio, 25% Price */
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#depth-chart {{ width: 100vw; height: 50vh; }}
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#ratio-chart {{ width: 100vw; height: 25vh; border-top: 1px solid #333; }}
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#price-chart {{ width: 100vw; height: 25vh; border-top: 1px solid #333; }}
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#status {{ position: absolute; top: 10px; left: 60px; z-index: 10; font-size: 14px; background: rgba(0,0,0,0.
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.green {{ color: #00e676; }}
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.red {{ color: #ff1744; }}
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.blue {{ color: #29b6f6; }}
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</style>
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</head>
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<body>
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<div id="status">
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<div id="depth-chart"></div>
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<div id="ratio-chart"></div>
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<div id="price-chart"></div>
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@@ -56,9 +55,7 @@ HTML_PAGE = f"""
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const priceDiv = document.getElementById('price-chart');
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const statusDiv = document.getElementById('status');
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let initDepth = false;
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let initRatio = false;
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let initPrice = false;
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async function updateCharts() {{
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try {{
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@@ -66,180 +63,142 @@ HTML_PAGE = f"""
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const data = await res.json();
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if (data.error) {{
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statusDiv.innerHTML = "
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return;
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}}
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// --- Header ---
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// Calculate current imbalance ratio (end of the curve)
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const currentRatio = data.ratios[data.ratios.length -1] || 1;
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const ratioColor = currentRatio > 1 ? 'red' : 'green';
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statusDiv.innerHTML = `
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`;
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const config = {{ responsive: true, displayModeBar: false }};
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// --- 1. DEPTH CHART ---
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const traceBids = {{
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x: data.depth.bids_x,
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type: 'scatter',
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mode: 'lines',
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name: 'Bids',
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line: {{color: '#00e676', width: 2}}
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}};
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const traceAsks = {{
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x: data.depth.asks_x,
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type: 'scatter',
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mode: 'lines',
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name: 'Asks',
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line: {{color: '#ff1744', width: 2}}
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}};
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const layoutDepth = {{
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autosize: true,
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margin: {{ t: 30, b: 30, l: 50, r: 20 }},
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xaxis: {{ title: '', gridcolor: '#222' }},
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yaxis: {{ title: 'Cum Vol', gridcolor: '#222' }}
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}};
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if (!initDepth) {{
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initDepth = true;
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}} else {{
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Plotly.react(depthDiv, [traceBids, traceAsks], layoutDepth, config);
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}}
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// --- 2. RATIO CHART
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// X axis is simply the "Depth Step" (1 to 300)
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const steps = Array.from({{length: data.ratios.length}}, (_, i) => i + 1);
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const traceRatio = {{
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x: steps,
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type: 'scatter',
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mode: 'lines',
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name: 'Ask/Bid Ratio',
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line: {{ color: '#fb8c00', width: 2 }},
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fill: 'tozeroy'
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}};
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const layoutRatio = {{
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autosize: true,
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paper_bgcolor: '#0e0e0e',
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plot_bgcolor: '#0e0e0e',
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font: {{ color: '#aaa', size: 10 }},
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margin: {{ t: 10, b: 20, l: 50, r: 20 }},
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xaxis: {{ title: '
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yaxis: {{
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gridcolor: '#222',
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zeroline: true,
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zerolinecolor: '#fff',
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zerolinewidth: 1
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}},
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# Draw a line at 1.0
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shapes: [{{
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type: 'line',
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x0: 0, x1: data.ratios.length,
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y0: 1, y1: 1,
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line: {{ color: 'white', width: 1, dash: 'dot' }}
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}}]
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}};
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if (!initRatio) {{
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initRatio = true;
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}} else {{
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layoutRatio.shapes[0].x1 = data.ratios.length; // Update line length
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Plotly.react(ratioDiv, [traceRatio], layoutRatio, config);
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}}
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// --- 3. PRICE CHART ---
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const timeData = data.history.map(d => new Date(d.t * 1000));
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const priceData = data.history.map(d => d.p);
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const traceHistory = {{
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x:
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y:
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type: 'scatter',
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name: 'Midprice',
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line: {{ color: '#29b6f6', width: 2 }}
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}};
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const layoutPrice = {{
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autosize: true,
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paper_bgcolor: '#0e0e0e',
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plot_bgcolor: '#0e0e0e',
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font: {{ color: '#aaa', size: 10 }},
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margin: {{ t: 10, b: 30, l: 50, r: 20 }},
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xaxis: {{ gridcolor: '#222', type: 'date' }},
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yaxis: {{ gridcolor: '#222', tickformat: '.
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}};
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if (!initPrice) {{
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initPrice = true;
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}} else {{
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Plotly.react(priceDiv, [traceHistory], layoutPrice, config);
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}}
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}} catch (e) {{
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console.error(e);
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}}
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}}
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setInterval(updateCharts, 500);
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</script>
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</body>
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</html>
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"""
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async def kraken_worker():
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global market_state
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while True:
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try:
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"
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async for message in ws:
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if
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if channel == "book":
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for item in data_entries:
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for bid in item.get('bids', []):
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q, p = float(bid['qty']), float(bid['price'])
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if q == 0: market_state['bids'].pop(p, None)
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else: market_state['bids'][p] = q
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for ask in item.get('asks', []):
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q, p = float(ask['qty']), float(ask['price'])
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if q == 0: market_state['asks'].pop(p, None)
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else: market_state['asks'][p] = q
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if market_state['bids'] and market_state['asks']:
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best_bid = max(market_state['bids'].keys())
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best_ask = min(market_state['asks'].keys())
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market_state['ready'] = True
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now = time.time()
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market_state['history'].append({'t': now, 'p': mid})
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if len(market_state['history']) > HISTORY_LENGTH:
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market_state['history'].pop(0)
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except Exception as e:
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logging.warning(f"⚠️
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await asyncio.sleep(
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async def handle_index(request):
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return web.Response(text=HTML_PAGE, content_type='text/html')
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if not market_state['ready']:
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return web.json_response({"error": "Initializing..."})
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#
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sorted_bids = sorted(market_state['bids'].items(), key=lambda x: -x[0])
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sorted_asks = sorted(market_state['asks'].items(), key=lambda x: x[0])
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#
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sorted_bids = sorted_bids[:DEPTH_LIMIT]
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sorted_asks = sorted_asks[:DEPTH_LIMIT]
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#
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b_y_raw = [] # Cumulative volume for bids (Best -> Worst)
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a_y_raw = [] # Cumulative volume for asks (Best -> Worst)
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cum = 0
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for _, q in sorted_bids:
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cum += q
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b_y_raw.append(cum)
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cum = 0
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for _, q in sorted_asks:
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cum += q
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a_y_raw.append(cum)
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#
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# Logic: Index 0 is the "spread", Index 100 is "deep in the book"
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ratios = []
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calc_len = min(len(b_y_raw), len(a_y_raw))
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for i in range(calc_len):
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bid_vol = b_y_raw[i]
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ask_vol = a_y_raw[i]
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if bid_vol == 0: ratio = 1 # Prevent Div/0
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else: ratio = ask_vol / bid_vol
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ratios.append(ratio)
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#
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# Reverse for Plotly "Mountain" effect
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b_x_visual.reverse()
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b_y_visual.reverse()
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a_y_visual = a_y_raw # Asks are already Best -> Worst (Low -> High Price), which is correct for Right side of chart
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return web.json_response({
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"mid": market_state['current_mid'],
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"prev_mid": market_state['history'][-2]['p'] if len(market_state['history']) > 1 else market_state['current_mid'],
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"depth": {
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"bids_x":
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"asks_x":
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},
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"ratios": ratios,
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"history": market_state['history']
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site = web.TCPSite(runner, '0.0.0.0', PORT)
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await site.start()
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print(f"🚀
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await asyncio.Event().wait()
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if __name__ == "__main__":
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import websockets
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# --- Configuration ---
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# Kraken V1 requires 'XBT/USD', not 'BTC/USD'
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SYMBOL_KRAKEN = "XBT/USD"
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PORT = 7860
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HISTORY_LENGTH = 300
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DEPTH_LIMIT = 500
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# --- Logging ---
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
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<!DOCTYPE html>
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<html>
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<head>
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<title>BTC-USD Live Analytics</title>
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<script src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>
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<style>
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body {{ margin: 0; padding: 0; background-color: #0e0e0e; color: #ccc; font-family: sans-serif; overflow: hidden; }}
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#depth-chart {{ width: 100vw; height: 50vh; }}
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#ratio-chart {{ width: 100vw; height: 25vh; border-top: 1px solid #333; }}
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#price-chart {{ width: 100vw; height: 25vh; border-top: 1px solid #333; }}
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#status {{ position: absolute; top: 10px; left: 60px; z-index: 10; font-size: 14px; background: rgba(0,0,0,0.8); padding: 5px 10px; border-radius: 4px; pointer-events: none; border: 1px solid #444; }}
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.green {{ color: #00e676; }}
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.red {{ color: #ff1744; }}
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</style>
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</head>
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<body>
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<div id="status">Waiting for stream...</div>
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<div id="depth-chart"></div>
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<div id="ratio-chart"></div>
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<div id="price-chart"></div>
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const priceDiv = document.getElementById('price-chart');
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const statusDiv = document.getElementById('status');
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let initDepth = false, initRatio = false, initPrice = false;
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async function updateCharts() {{
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try {{
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const data = await res.json();
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if (data.error) {{
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statusDiv.innerHTML = "Initializing Kraken Stream...";
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return;
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}}
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// --- Header Stats ---
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const currentRatio = data.ratios[data.ratios.length -1] || 1;
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const ratioColor = currentRatio > 1 ? 'red' : 'green';
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const ratioText = currentRatio > 1 ? 'Bearish (Sell Wall)' : 'Bullish (Buy Support)';
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statusDiv.innerHTML = `
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<b>BTC/USD</b> |
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Price: <span class="${{data.mid >= data.prev_mid ? 'green' : 'red'}}">$${{data.mid.toLocaleString(undefined, {{minimumFractionDigits: 1}})}}</span> |
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Imbalance: <span class="${{ratioColor}}">${{currentRatio.toFixed(2)}}x (${{ratioText}})</span>
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`;
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const config = {{ responsive: true, displayModeBar: false }};
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// --- 1. DEPTH CHART ---
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const traceBids = {{
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x: data.depth.bids_x, y: data.depth.bids_y,
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fill: 'tozeroy', type: 'scatter', mode: 'lines',
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name: 'Bids', line: {{color: '#00e676', width: 2}}
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}};
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const traceAsks = {{
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x: data.depth.asks_x, y: data.depth.asks_y,
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fill: 'tozeroy', type: 'scatter', mode: 'lines',
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name: 'Asks', line: {{color: '#ff1744', width: 2}}
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}};
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const layoutDepth = {{
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autosize: true, paper_bgcolor: '#0e0e0e', plot_bgcolor: '#0e0e0e',
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font: {{ color: '#aaa' }}, showlegend: false,
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margin: {{ t: 30, b: 20, l: 50, r: 20 }},
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xaxis: {{ showgrid: true, gridcolor: '#222' }},
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yaxis: {{ title: 'Cumulative Vol', gridcolor: '#222' }}
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}};
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if (!initDepth) {{ Plotly.newPlot(depthDiv, [traceBids, traceAsks], layoutDepth, config); initDepth = true; }}
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else {{ Plotly.react(depthDiv, [traceBids, traceAsks], layoutDepth, config); }}
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// --- 2. RATIO CHART ---
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const steps = Array.from({{length: data.ratios.length}}, (_, i) => i + 1);
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|
| 107 |
const traceRatio = {{
|
| 108 |
+
x: steps, y: data.ratios,
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| 109 |
+
type: 'scatter', mode: 'lines',
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| 110 |
name: 'Ask/Bid Ratio',
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| 111 |
line: {{ color: '#fb8c00', width: 2 }},
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| 112 |
+
fill: 'tozeroy'
|
| 113 |
}};
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| 114 |
const layoutRatio = {{
|
| 115 |
+
autosize: true, paper_bgcolor: '#0e0e0e', plot_bgcolor: '#0e0e0e',
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| 116 |
font: {{ color: '#aaa', size: 10 }},
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| 117 |
margin: {{ t: 10, b: 20, l: 50, r: 20 }},
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| 118 |
+
xaxis: {{ title: 'Depth Steps', gridcolor: '#222' }},
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| 119 |
+
yaxis: {{ title: 'Imbalance Ratio', gridcolor: '#222' }},
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| 120 |
+
shapes: [{{ type: 'line', x0: 0, x1: data.ratios.length, y0: 1, y1: 1, line: {{ color: 'white', width: 1, dash: 'dot' }} }}]
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| 121 |
}};
|
| 122 |
|
| 123 |
+
if (!initRatio) {{ Plotly.newPlot(ratioDiv, [traceRatio], layoutRatio, config); initRatio = true; }}
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| 124 |
+
else {{ layoutRatio.shapes[0].x1 = data.ratios.length; Plotly.react(ratioDiv, [traceRatio], layoutRatio, config); }}
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|
| 125 |
|
| 126 |
// --- 3. PRICE CHART ---
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|
| 127 |
const traceHistory = {{
|
| 128 |
+
x: data.history.map(d => new Date(d.t * 1000)),
|
| 129 |
+
y: data.history.map(d => d.p),
|
| 130 |
+
type: 'scatter', mode: 'lines',
|
| 131 |
+
name: 'Price', line: {{ color: '#29b6f6', width: 2 }}
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|
| 132 |
}};
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|
| 133 |
const layoutPrice = {{
|
| 134 |
+
autosize: true, paper_bgcolor: '#0e0e0e', plot_bgcolor: '#0e0e0e',
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|
| 135 |
font: {{ color: '#aaa', size: 10 }},
|
| 136 |
margin: {{ t: 10, b: 30, l: 50, r: 20 }},
|
| 137 |
xaxis: {{ gridcolor: '#222', type: 'date' }},
|
| 138 |
+
yaxis: {{ gridcolor: '#222', tickformat: '.1f', title: 'Mid Price' }}
|
| 139 |
}};
|
| 140 |
|
| 141 |
+
if (!initPrice) {{ Plotly.newPlot(priceDiv, [traceHistory], layoutPrice, config); initPrice = true; }}
|
| 142 |
+
else {{ Plotly.react(priceDiv, [traceHistory], layoutPrice, config); }}
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|
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|
| 143 |
|
| 144 |
+
}} catch (e) {{ console.error(e); }}
|
|
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|
|
| 145 |
}}
|
| 146 |
+
setInterval(updateCharts, 1000);
|
|
|
|
| 147 |
</script>
|
| 148 |
</body>
|
| 149 |
</html>
|
| 150 |
"""
|
| 151 |
|
| 152 |
async def kraken_worker():
|
| 153 |
+
"""Connects to Standard Kraken V1 API (More Reliable)"""
|
| 154 |
global market_state
|
| 155 |
|
| 156 |
while True:
|
| 157 |
try:
|
| 158 |
+
# Note: Using V1 Endpoint
|
| 159 |
+
async with websockets.connect("wss://ws.kraken.com") as ws:
|
| 160 |
+
logging.info(f"🔌 Connected to Kraken V1 ({SYMBOL_KRAKEN})")
|
| 161 |
|
| 162 |
+
# V1 Subscribe Message
|
| 163 |
+
sub_msg = {
|
| 164 |
+
"event": "subscribe",
|
| 165 |
+
"pair": [SYMBOL_KRAKEN],
|
| 166 |
+
"subscription": {"name": "book", "depth": 1000}
|
| 167 |
+
}
|
| 168 |
+
await ws.send(json.dumps(sub_msg))
|
| 169 |
|
| 170 |
async for message in ws:
|
| 171 |
+
data = json.loads(message)
|
| 172 |
+
|
| 173 |
+
# V1 sends lists for data, dicts for events.
|
| 174 |
+
# [CHANNEL_ID, DATA_DICT, CHANNEL_NAME, PAIR]
|
| 175 |
+
if isinstance(data, list):
|
| 176 |
+
payload = data[1]
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 177 |
|
| 178 |
+
# Snapshot or Update?
|
| 179 |
+
# Snapshot has keys "bs" (bids snapshot) and "as" (asks snapshot)
|
| 180 |
+
if "bs" in payload or "as" in payload:
|
| 181 |
+
# logging.info("Received Snapshot")
|
| 182 |
+
for bid in payload.get("bs", []):
|
| 183 |
+
price, qty = float(bid[0]), float(bid[1])
|
| 184 |
+
market_state['bids'][price] = qty
|
| 185 |
+
for ask in payload.get("as", []):
|
| 186 |
+
price, qty = float(ask[0]), float(ask[1])
|
| 187 |
+
market_state['asks'][price] = qty
|
| 188 |
+
|
| 189 |
+
# Updates have keys "b" (bids) or "a" (asks)
|
| 190 |
+
else:
|
| 191 |
+
for bid in payload.get("b", []):
|
| 192 |
+
price, qty = float(bid[0]), float(bid[1])
|
| 193 |
+
if qty == 0: market_state['bids'].pop(price, None)
|
| 194 |
+
else: market_state['bids'][price] = qty
|
| 195 |
+
|
| 196 |
+
for ask in payload.get("a", []):
|
| 197 |
+
price, qty = float(ask[0]), float(ask[1])
|
| 198 |
+
if qty == 0: market_state['asks'].pop(price, None)
|
| 199 |
+
else: market_state['asks'][price] = qty
|
| 200 |
+
|
| 201 |
+
# --- Calculation Trigger ---
|
| 202 |
if market_state['bids'] and market_state['asks']:
|
| 203 |
best_bid = max(market_state['bids'].keys())
|
| 204 |
best_ask = min(market_state['asks'].keys())
|
|
|
|
| 207 |
market_state['ready'] = True
|
| 208 |
|
| 209 |
now = time.time()
|
| 210 |
+
# Throttle history update to ~200ms
|
| 211 |
+
if not market_state['history'] or (now - market_state['history'][-1]['t'] > 0.2):
|
| 212 |
market_state['history'].append({'t': now, 'p': mid})
|
| 213 |
if len(market_state['history']) > HISTORY_LENGTH:
|
| 214 |
market_state['history'].pop(0)
|
| 215 |
+
|
| 216 |
+
elif isinstance(data, dict):
|
| 217 |
+
if data.get("event") == "heartbeat":
|
| 218 |
+
continue
|
| 219 |
+
if data.get("event") == "systemStatus":
|
| 220 |
+
logging.info(f"System Status: {data.get('status')}")
|
| 221 |
|
| 222 |
except Exception as e:
|
| 223 |
+
logging.warning(f"⚠️ Connection error: {e}. Retrying in 5s...")
|
| 224 |
+
await asyncio.sleep(5)
|
| 225 |
|
| 226 |
async def handle_index(request):
|
| 227 |
return web.Response(text=HTML_PAGE, content_type='text/html')
|
|
|
|
| 230 |
if not market_state['ready']:
|
| 231 |
return web.json_response({"error": "Initializing..."})
|
| 232 |
|
| 233 |
+
# Sort
|
| 234 |
+
sorted_bids = sorted(market_state['bids'].items(), key=lambda x: -x[0])
|
| 235 |
+
sorted_asks = sorted(market_state['asks'].items(), key=lambda x: x[0])
|
| 236 |
|
| 237 |
+
# Slice
|
| 238 |
sorted_bids = sorted_bids[:DEPTH_LIMIT]
|
| 239 |
sorted_asks = sorted_asks[:DEPTH_LIMIT]
|
| 240 |
|
| 241 |
+
# Cumulative Calc
|
| 242 |
+
b_y_raw = []
|
|
|
|
|
|
|
|
|
|
|
|
|
| 243 |
cum = 0
|
| 244 |
for _, q in sorted_bids:
|
| 245 |
cum += q
|
| 246 |
b_y_raw.append(cum)
|
| 247 |
+
|
| 248 |
+
a_y_raw = []
|
| 249 |
cum = 0
|
| 250 |
for _, q in sorted_asks:
|
| 251 |
cum += q
|
| 252 |
a_y_raw.append(cum)
|
| 253 |
|
| 254 |
+
# Ratio Calc
|
|
|
|
| 255 |
ratios = []
|
| 256 |
calc_len = min(len(b_y_raw), len(a_y_raw))
|
|
|
|
| 257 |
for i in range(calc_len):
|
| 258 |
bid_vol = b_y_raw[i]
|
| 259 |
ask_vol = a_y_raw[i]
|
| 260 |
+
ratio = ask_vol / bid_vol if bid_vol > 0 else 1
|
|
|
|
|
|
|
|
|
|
| 261 |
ratios.append(ratio)
|
| 262 |
|
| 263 |
+
# Visual Prep
|
| 264 |
+
b_x = [p for p, q in sorted_bids]
|
| 265 |
+
# Reverse bids for Plotly
|
| 266 |
+
b_x.reverse()
|
| 267 |
+
b_y_visual = b_y_raw[:]
|
|
|
|
|
|
|
| 268 |
b_y_visual.reverse()
|
| 269 |
|
| 270 |
+
a_x = [p for p, q in sorted_asks]
|
|
|
|
| 271 |
|
| 272 |
return web.json_response({
|
| 273 |
"mid": market_state['current_mid'],
|
| 274 |
"prev_mid": market_state['history'][-2]['p'] if len(market_state['history']) > 1 else market_state['current_mid'],
|
| 275 |
"depth": {
|
| 276 |
+
"bids_x": b_x, "bids_y": b_y_visual,
|
| 277 |
+
"asks_x": a_x, "asks_y": a_y_raw
|
| 278 |
},
|
| 279 |
"ratios": ratios,
|
| 280 |
"history": market_state['history']
|
|
|
|
| 291 |
site = web.TCPSite(runner, '0.0.0.0', PORT)
|
| 292 |
await site.start()
|
| 293 |
|
| 294 |
+
print(f"🚀 Live at http://localhost:{PORT}")
|
| 295 |
await asyncio.Event().wait()
|
| 296 |
|
| 297 |
if __name__ == "__main__":
|