Update app.py
Browse files
app.py
CHANGED
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@@ -3,13 +3,14 @@ import json
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import logging
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import time
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import bisect
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from aiohttp import web
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import websockets
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# --- Configuration ---
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SYMBOL_KRAKEN = "BTC/USD"
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PORT = 7860
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HISTORY_LENGTH =
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# --- Logging ---
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
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@@ -18,7 +19,7 @@ logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
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market_state = {
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"bids": {},
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"asks": {},
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"history": [],
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"current_mid": 0.0,
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"prev_mid": 0.0,
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"ready": False
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@@ -26,15 +27,11 @@ market_state = {
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# --- AI Logic Helper ---
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def analyze_structure(diff_x, diff_y, current_mid):
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"""
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Analyzes the Net Liquidity Curve to find Support, Resistance, and Projected Trend.
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"""
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if not diff_y or len(diff_y) < 5:
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return None
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# 1. Momentum Projection
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net_total = diff_y[-1]
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# Damping factor
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momentum_shift = net_total * 0.2
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projected_price = current_mid + momentum_shift
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@@ -49,11 +46,9 @@ def analyze_structure(diff_x, diff_y, current_mid):
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curr_val = diff_y[i]
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dist = diff_x[i]
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# Resistance: Buyers (Pos) -> Sellers (Neg)
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if prev_val > 0 and curr_val < 0 and resistance_level is None:
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resistance_level = current_mid + dist
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# Support: Sellers (Neg) -> Buyers (Pos)
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if prev_val < 0 and curr_val > 0 and support_level is None:
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support_level = current_mid - dist
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@@ -71,259 +66,105 @@ HTML_PAGE = f"""
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<head>
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<meta charset="UTF-8">
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<title>AI Liquidity Dashboard | {SYMBOL_KRAKEN}</title>
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-
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<!-- TradingView Lightweight Charts -->
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<script src="https://unpkg.com/lightweight-charts/dist/lightweight-charts.standalone.production.js"></script>
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<!-- Plotly for Depth Chart -->
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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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:root {{
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--bg-color: #0b0c10;
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--panel-bg: #1f2833;
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--text-main: #c5c6c7;
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--accent-green: #66fcf1;
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--accent-green-dim: #45a29e;
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--accent-red: #ff3b3b;
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--accent-red-dim: #a82828;
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--border: #2d3842;
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}}
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font-family: 'JetBrains Mono', 'Courier New', monospace;
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overflow: hidden;
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height: 100vh;
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width: 100vw;
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}}
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/* --- GRID LAYOUT --- */
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.grid-container {{
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display: grid;
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grid-template-columns: 3fr 1fr; /* Main chart 75%, Side panel 25% */
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grid-template-rows: 2fr 1fr; /* Top 66%, Bottom 33% */
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gap: 4px;
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height: 100vh;
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padding: 4px;
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box-sizing: border-box;
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}}
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.panel {{
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background: #12141a;
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border: 1px solid var(--border);
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border-radius: 4px;
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position: relative;
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display: flex;
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flex-direction: column;
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overflow: hidden;
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}}
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/* Grid Areas */
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#p-price {{ grid-column: 1 / 2; grid-row: 1 / 2; }}
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#p-depth {{ grid-column: 1 / 2; grid-row: 2 / 3; }}
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#p-stats {{ grid-column: 2 / 3; grid-row: 1 / 3; border-left: 2px solid
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/* Headers */
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.panel-header {{
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padding: 8px 12px;
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background: #0f1116;
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border-bottom: 1px solid var(--border);
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font-size: 12px;
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text-transform: uppercase;
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font-weight: bold;
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display: flex;
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justify-content: space-between;
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align-items: center;
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color: var(--accent-green);
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}}
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/* --- CHART CONTAINERS --- */
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#tv-chart {{ flex: 1; width: 100%; }}
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#depth-chart {{ flex: 1; width: 100%; }}
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/* --- STATS PANEL --- */
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.stats-content {{
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padding: 15px;
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overflow-y: auto;
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flex: 1;
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}}
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.stat-box {{
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margin-bottom: 20px;
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padding: 10px;
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background: rgba(255,255,255,0.02);
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border-radius: 4px;
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}}
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.stat-label {{ font-size: 11px; color: #666; display: block; margin-bottom: 4px; }}
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.stat-value {{ font-size: 24px; font-weight: bold; }}
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.stat-sub {{ font-size: 12px; margin-left: 5px; }}
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.green {{ color: var(--accent-green); }}
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.red
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.
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margin-top: auto;
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font-size: 11px;
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height: 300px;
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overflow-y: hidden;
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display: flex;
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flex-direction: column;
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}}
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.term-header {{ border-bottom: 1px dashed #444; margin-bottom: 5px; padding-bottom: 5px; opacity: 0.7; }}
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#term-logs {{ flex: 1; overflow-y: hidden; display: flex; flex-direction: column-reverse; }}
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.log-line {{ margin-top: 4px; padding-left: 8px; border-left: 2px solid #333; }}
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.
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/* --- METER --- */
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.meter-container {{ width: 100%; height: 6px; background: #333; border-radius: 3px; margin-top: 10px; position: relative; overflow: hidden; }}
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.meter-bar {{ height: 100%; width: 50%; background: #555; transition: all 0.5s ease; position: absolute; left: 0; }}
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.mid-mark {{ position: absolute; left: 50%; height: 100%; width: 2px; background: #fff; z-index: 10; }}
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#
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position: absolute; top:0; left:0; width:100%; height:100%;
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background: rgba(0,0,0,0.9); z-index: 999;
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display: flex; justify-content: center; align-items: center;
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color: var(--accent-green); font-size: 20px;
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}}
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</style>
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</head>
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<body>
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<div id="loader">
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<div class="grid-container">
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<!-- PRICE CHART PANEL -->
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<div id="p-price" class="panel">
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<div class="panel-header">
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<span>BTC/USD Price Action</span>
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<span id="live-price" style="color:white;">---</span>
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</div>
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<div id="tv-chart"></div>
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</div>
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<!-- DEPTH / LIQUIDITY PANEL -->
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<div id="p-depth" class="panel">
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<div class="panel-header">
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<span>Net Liquidity Structure (Bid - Ask)</span>
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<span style="font-size:10px; color:#666;">DEPTH 300</span>
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</div>
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<div id="depth-chart"></div>
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</div>
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<!-- SIDEBAR / AI STATS -->
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<div id="p-stats" class="panel">
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<div class="panel-header">
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<div class="stats-content">
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<!-- CURRENT SCORE -->
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<div class="stat-box">
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<span class="stat-label">NET LIQUIDITY SCORE</span>
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<
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</div>
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<div class="meter-container">
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<div class="mid-mark"></div>
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<div id="score-bar" class="meter-bar" style="width: 0%; left: 50%;"></div>
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</div>
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</div>
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<!-- KEY LEVELS -->
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<div class="stat-box">
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<span class="stat-label">
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<div style="
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<span style="color:#aaa;">RESIST:</span>
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<span id="res-val" class="red">---</span>
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</div>
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<div style="display:flex; justify-content:space-between; margin-top:4px;">
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<span style="color:#aaa;">SUPPORT:</span>
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<span id="sup-val" class="green">---</span>
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</div>
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</div>
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</div>
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<!-- PREDICTED TARGET -->
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<div class="stat-box" style="border: 1px solid #444;">
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<span class="stat-label" style="color:var(--accent-green);">AI
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<span id="proj-val" class="stat-value"
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</div>
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<!-- TERMINAL -->
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<div class="terminal-box">
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<div class="term-header">> SYSTEM LOGS</div>
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<div id="term-logs"></div>
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</div>
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</div>
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</div>
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</div>
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<script>
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//
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timeScale: {{ borderColor: '#2d3842', timeVisible: true, secondsVisible: true }},
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}});
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const lineSeries = chart.addLineSeries({{
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color: '#2962FF',
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lineWidth: 2,
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crosshairMarkerVisible: true,
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lastValueVisible: false,
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priceLineVisible: false,
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}});
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// Forecast Line (Dashed)
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const predSeries = chart.addLineSeries({{
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color: '#ff9800',
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lineWidth: 2,
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lineStyle: LightweightCharts.LineStyle.Dotted,
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title: 'Forecast'
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}});
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// S/R Lines (Using PriceLines)
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let supportLine = null;
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let resistanceLine = null;
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// Auto Resize
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new ResizeObserver(entries => {{
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if (entries.length === 0 || entries[0].target !== chartContainer) {{ return; }}
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const newRect = entries[0].contentRect;
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chart.applyOptions({{ width: newRect.width, height: newRect.height }});
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}}).observe(chartContainer);
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// --- 2. SETUP PLOTLY (DEPTH) ---
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// We use Plotly here because LightweightCharts is bad at non-time-series X/Y plots
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const depthDiv = document.getElementById('depth-chart');
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const plotlyLayout = {{
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paper_bgcolor: '#12141a',
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plot_bgcolor: '#12141a',
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font: {{ color: '#888', family: 'JetBrains Mono' }},
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margin: {{ t: 10, b: 30, l: 40, r: 20 }},
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showlegend: false,
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xaxis: {{ gridcolor: '#1f2833', title: 'Distance ($)' }},
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yaxis: {{ gridcolor: '#1f2833' }}
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}};
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const plotlyConfig = {{ responsive: true, displayModeBar: false }};
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Plotly.newPlot(depthDiv, [], plotlyLayout, plotlyConfig);
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// --- 3. LOGIC & UPDATES ---
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const dom = {{
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price: document.getElementById('live-price'),
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loader: document.getElementById('loader'),
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scoreVal: document.getElementById('score-val'),
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scoreBar: document.getElementById('score-bar'),
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resVal: document.getElementById('res-val'),
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logs: document.getElementById('term-logs')
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}};
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function log(msg, type='neutral') {{
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const div = document.createElement('div');
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div.className =
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div.innerHTML = `<span style="opacity:0.5
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dom.logs.prepend(div);
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if (dom.logs.children.length > 20) dom.logs.removeChild(dom.logs.lastChild);
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}}
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async function fetchData() {{
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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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dom.loader.style.display = 'none';
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//
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const history = data.history.map(d => ({{ time: Math.floor(d.t), value: d.p }}));
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// De-duplicate times for Lightweight Charts
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const uniqueHistory = [];
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const
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history.forEach(
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}});
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// -- B. UPDATE AI ANALYSIS --
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if (data.analysis) {{
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const {{ projected, support, resistance, net_score }} = data.analysis;
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// 1. Prediction Line (Current Time -> Future)
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const lastT = uniqueHistory[uniqueHistory.length-1].time;
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predSeries.setData([
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{{ time: lastT, value: data.mid }},
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{{ time: lastT + 60, value: projected }} // 1 min projection
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]);
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dom.projVal.innerHTML = `$${{projected.toLocaleString(undefined, {{maximumFractionDigits:0}})}}`;
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dom.projVal.style.color = projected > data.mid ? '#66fcf1' : '#ff3b3b';
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// 2. S/R Lines
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if (support) {{
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dom.supVal.innerText = `$${{support.toFixed(0)}}`;
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if (!supportLine) {{
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supportLine = lineSeries.createPriceLine({{
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price: support, color: '#00e676', lineWidth: 1, lineStyle: LightweightCharts.LineStyle.Solid, axisLabelVisible: true, title: 'SUP'
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}});
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}} else supportLine.applyOptions({{ price: support }});
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}} else {{
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dom.supVal.innerText = '---';
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if(supportLine) {{ lineSeries.removePriceLine(supportLine); supportLine=null; }}
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}}
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if (resistance) {{
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dom.resVal.innerText = `$${{resistance.toFixed(0)}}`;
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if (!resistanceLine) {{
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resistanceLine = lineSeries.createPriceLine({{
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price: resistance, color: '#ff1744', lineWidth: 1, lineStyle: LightweightCharts.LineStyle.Solid, axisLabelVisible: true, title: 'RES'
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}});
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}} else resistanceLine.applyOptions({{ price: resistance }});
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}} else {{
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dom.resVal.innerText = '---';
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if(resistanceLine) {{ lineSeries.removePriceLine(resistanceLine); resistanceLine=null; }}
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}}
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// 3. Score Meter
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dom.scoreVal.innerText = net_score.toFixed(1);
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dom.scoreVal.className = net_score > 0 ? "stat-value green" : "stat-value red";
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| 412 |
-
|
| 413 |
-
|
| 414 |
-
|
| 415 |
-
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| 416 |
-
|
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-
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|
| 418 |
}}
|
| 419 |
|
| 420 |
-
//
|
| 421 |
-
const
|
| 422 |
-
|
| 423 |
-
|
| 424 |
-
|
| 425 |
-
|
| 426 |
-
|
| 427 |
-
|
| 428 |
-
fillcolor: 'rgba(224, 64, 251, 0.1)'
|
| 429 |
-
}};
|
| 430 |
-
|
| 431 |
-
// Add a zero line
|
| 432 |
-
const zeroLine = {{ type: 'line', x0: 0, x1: 1, xref: 'paper', y0: 0, y1: 0, line: {{color: '#444', width: 1}} }};
|
| 433 |
-
|
| 434 |
-
const layoutUpdate = {{ ...plotlyLayout, shapes: [zeroLine] }};
|
| 435 |
-
Plotly.react(depthDiv, [traceDiff], layoutUpdate, plotlyConfig);
|
| 436 |
|
| 437 |
}} catch (e) {{
|
| 438 |
console.error(e);
|
|
|
|
|
|
|
| 439 |
}}
|
| 440 |
}}
|
| 441 |
|
|
@@ -463,12 +323,10 @@ async def kraken_worker():
|
|
| 463 |
|
| 464 |
if channel == "book":
|
| 465 |
for item in data_entries:
|
| 466 |
-
# Process Bids
|
| 467 |
for bid in item.get('bids', []):
|
| 468 |
q, p = float(bid['qty']), float(bid['price'])
|
| 469 |
if q == 0: market_state['bids'].pop(p, None)
|
| 470 |
else: market_state['bids'][p] = q
|
| 471 |
-
# Process Asks
|
| 472 |
for ask in item.get('asks', []):
|
| 473 |
q, p = float(ask['qty']), float(ask['price'])
|
| 474 |
if q == 0: market_state['asks'].pop(p, None)
|
|
@@ -478,14 +336,13 @@ async def kraken_worker():
|
|
| 478 |
best_bid = max(market_state['bids'].keys())
|
| 479 |
best_ask = min(market_state['asks'].keys())
|
| 480 |
mid = (best_bid + best_ask) / 2
|
| 481 |
-
|
| 482 |
market_state['prev_mid'] = market_state['current_mid']
|
| 483 |
market_state['current_mid'] = mid
|
| 484 |
market_state['ready'] = True
|
| 485 |
-
|
| 486 |
now = time.time()
|
| 487 |
-
# Throttle history
|
| 488 |
-
if not market_state['history'] or (now - market_state['history'][-1]['t'] > 0.
|
| 489 |
market_state['history'].append({'t': now, 'p': mid})
|
| 490 |
if len(market_state['history']) > HISTORY_LENGTH:
|
| 491 |
market_state['history'].pop(0)
|
|
@@ -498,16 +355,16 @@ async def handle_index(request):
|
|
| 498 |
return web.Response(text=HTML_PAGE, content_type='text/html')
|
| 499 |
|
| 500 |
async def handle_data(request):
|
|
|
|
| 501 |
if not market_state['ready']:
|
| 502 |
return web.json_response({"error": "Initializing..."})
|
| 503 |
|
| 504 |
mid = market_state['current_mid']
|
| 505 |
|
| 506 |
-
# Snapshot
|
| 507 |
raw_bids = sorted(market_state['bids'].items(), key=lambda x: -x[0])[:300]
|
| 508 |
raw_asks = sorted(market_state['asks'].items(), key=lambda x: x[0])[:300]
|
| 509 |
|
| 510 |
-
# Calculate Volume at Distance (Cumulative)
|
| 511 |
d_b_x, d_b_y, cum = [], [], 0
|
| 512 |
for p, q in raw_bids:
|
| 513 |
d = mid - p
|
|
@@ -522,31 +379,27 @@ async def handle_data(request):
|
|
| 522 |
cum += q
|
| 523 |
d_a_x.append(d); d_a_y.append(cum)
|
| 524 |
|
| 525 |
-
#
|
| 526 |
diff_x, diff_y = [], []
|
| 527 |
if d_b_x and d_a_x:
|
| 528 |
max_dist = min(d_b_x[-1], d_a_x[-1])
|
| 529 |
-
# Create interpolated steps
|
| 530 |
step_size = max_dist / 100
|
| 531 |
steps = [i * step_size for i in range(1, 101)]
|
| 532 |
|
| 533 |
for s in steps:
|
| 534 |
-
# Find volume at distance 's' for bid and ask
|
| 535 |
idx_b = bisect.bisect_right(d_b_x, s)
|
| 536 |
vol_b = d_b_y[idx_b-1] if idx_b > 0 else 0
|
| 537 |
-
|
| 538 |
idx_a = bisect.bisect_right(d_a_x, s)
|
| 539 |
vol_a = d_a_y[idx_a-1] if idx_a > 0 else 0
|
| 540 |
|
| 541 |
diff_x.append(s)
|
| 542 |
-
diff_y.append(vol_b - vol_a)
|
| 543 |
|
| 544 |
-
# Run Analysis
|
| 545 |
analysis = analyze_structure(diff_x, diff_y, mid)
|
| 546 |
|
| 547 |
return web.json_response({
|
| 548 |
"mid": mid,
|
| 549 |
-
"history": market_state['history'],
|
| 550 |
"diff": { "x": diff_x, "y": diff_y },
|
| 551 |
"analysis": analysis
|
| 552 |
})
|
|
|
|
| 3 |
import logging
|
| 4 |
import time
|
| 5 |
import bisect
|
| 6 |
+
import random
|
| 7 |
from aiohttp import web
|
| 8 |
import websockets
|
| 9 |
|
| 10 |
# --- Configuration ---
|
| 11 |
SYMBOL_KRAKEN = "BTC/USD"
|
| 12 |
PORT = 7860
|
| 13 |
+
HISTORY_LENGTH = 300
|
| 14 |
|
| 15 |
# --- Logging ---
|
| 16 |
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(message)s')
|
|
|
|
| 19 |
market_state = {
|
| 20 |
"bids": {},
|
| 21 |
"asks": {},
|
| 22 |
+
"history": [],
|
| 23 |
"current_mid": 0.0,
|
| 24 |
"prev_mid": 0.0,
|
| 25 |
"ready": False
|
|
|
|
| 27 |
|
| 28 |
# --- AI Logic Helper ---
|
| 29 |
def analyze_structure(diff_x, diff_y, current_mid):
|
|
|
|
|
|
|
|
|
|
| 30 |
if not diff_y or len(diff_y) < 5:
|
| 31 |
return None
|
| 32 |
|
| 33 |
# 1. Momentum Projection
|
| 34 |
net_total = diff_y[-1]
|
|
|
|
| 35 |
momentum_shift = net_total * 0.2
|
| 36 |
projected_price = current_mid + momentum_shift
|
| 37 |
|
|
|
|
| 46 |
curr_val = diff_y[i]
|
| 47 |
dist = diff_x[i]
|
| 48 |
|
|
|
|
| 49 |
if prev_val > 0 and curr_val < 0 and resistance_level is None:
|
| 50 |
resistance_level = current_mid + dist
|
| 51 |
|
|
|
|
| 52 |
if prev_val < 0 and curr_val > 0 and support_level is None:
|
| 53 |
support_level = current_mid - dist
|
| 54 |
|
|
|
|
| 66 |
<head>
|
| 67 |
<meta charset="UTF-8">
|
| 68 |
<title>AI Liquidity Dashboard | {SYMBOL_KRAKEN}</title>
|
|
|
|
|
|
|
| 69 |
<script src="https://unpkg.com/lightweight-charts/dist/lightweight-charts.standalone.production.js"></script>
|
|
|
|
| 70 |
<script src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>
|
|
|
|
| 71 |
<style>
|
| 72 |
:root {{
|
| 73 |
--bg-color: #0b0c10;
|
| 74 |
--panel-bg: #1f2833;
|
| 75 |
--text-main: #c5c6c7;
|
| 76 |
--accent-green: #66fcf1;
|
|
|
|
| 77 |
--accent-red: #ff3b3b;
|
|
|
|
| 78 |
--border: #2d3842;
|
| 79 |
}}
|
| 80 |
+
body {{ margin: 0; padding: 0; background-color: var(--bg-color); color: var(--text-main); font-family: monospace; overflow: hidden; height: 100vh; width: 100vw; }}
|
| 81 |
+
|
| 82 |
+
.grid-container {{ display: grid; grid-template-columns: 3fr 1fr; grid-template-rows: 2fr 1fr; gap: 4px; height: 100vh; padding: 4px; box-sizing: border-box; }}
|
| 83 |
+
.panel {{ background: #12141a; border: 1px solid var(--border); border-radius: 4px; position: relative; display: flex; flex-direction: column; overflow: hidden; }}
|
| 84 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 85 |
#p-price {{ grid-column: 1 / 2; grid-row: 1 / 2; }}
|
| 86 |
#p-depth {{ grid-column: 1 / 2; grid-row: 2 / 3; }}
|
| 87 |
+
#p-stats {{ grid-column: 2 / 3; grid-row: 1 / 3; border-left: 2px solid #45a29e; }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 88 |
|
| 89 |
+
.panel-header {{ padding: 8px 12px; background: #0f1116; border-bottom: 1px solid var(--border); font-size: 12px; font-weight: bold; display: flex; justify-content: space-between; color: var(--accent-green); }}
|
| 90 |
+
|
| 91 |
+
#tv-chart, #depth-chart {{ flex: 1; width: 100%; }}
|
| 92 |
+
.stats-content {{ padding: 15px; overflow-y: auto; flex: 1; }}
|
| 93 |
+
.stat-box {{ margin-bottom: 20px; padding: 10px; background: rgba(255,255,255,0.02); border-radius: 4px; }}
|
| 94 |
.stat-label {{ font-size: 11px; color: #666; display: block; margin-bottom: 4px; }}
|
| 95 |
.stat-value {{ font-size: 24px; font-weight: bold; }}
|
|
|
|
|
|
|
| 96 |
.green {{ color: var(--accent-green); }}
|
| 97 |
+
.red {{ color: var(--accent-red); }}
|
| 98 |
+
|
| 99 |
+
.terminal-box {{ margin-top: auto; font-size: 11px; height: 300px; display: flex; flex-direction: column; }}
|
| 100 |
+
.term-header {{ border-bottom: 1px dashed #444; margin-bottom: 5px; opacity: 0.7; }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 101 |
#term-logs {{ flex: 1; overflow-y: hidden; display: flex; flex-direction: column-reverse; }}
|
| 102 |
.log-line {{ margin-top: 4px; padding-left: 8px; border-left: 2px solid #333; }}
|
| 103 |
+
|
| 104 |
+
.meter-container {{ width: 100%; height: 6px; background: #333; margin-top: 10px; position: relative; overflow: hidden; }}
|
| 105 |
+
.meter-bar {{ height: 100%; width: 50%; background: #555; position: absolute; left: 0; transition: all 0.5s; }}
|
|
|
|
|
|
|
|
|
|
| 106 |
.mid-mark {{ position: absolute; left: 50%; height: 100%; width: 2px; background: #fff; z-index: 10; }}
|
| 107 |
|
| 108 |
+
#loader {{ position: absolute; top:0; left:0; width:100%; height:100%; background: rgba(0,0,0,0.95); z-index: 999; display: flex; flex-direction: column; justify-content: center; align-items: center; color: var(--accent-green); }}
|
| 109 |
+
#error-log {{ color: var(--accent-red); font-size: 12px; margin-top: 20px; max-width: 80%; text-align: center; }}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 110 |
</style>
|
| 111 |
</head>
|
| 112 |
<body>
|
| 113 |
|
| 114 |
+
<div id="loader">
|
| 115 |
+
<div style="font-size: 24px; margin-bottom: 10px;">INITIALIZING AI MODELS...</div>
|
| 116 |
+
<div id="loading-status" style="font-size: 14px; color: #888;">Connecting to WebSocket...</div>
|
| 117 |
+
<div id="error-log"></div>
|
| 118 |
+
</div>
|
| 119 |
|
| 120 |
<div class="grid-container">
|
|
|
|
|
|
|
| 121 |
<div id="p-price" class="panel">
|
| 122 |
+
<div class="panel-header"><span>BTC/USD Price Action</span><span id="live-price">---</span></div>
|
|
|
|
|
|
|
|
|
|
| 123 |
<div id="tv-chart"></div>
|
| 124 |
</div>
|
|
|
|
|
|
|
| 125 |
<div id="p-depth" class="panel">
|
| 126 |
+
<div class="panel-header"><span>Liquidity Structure</span><span>DEPTH 300</span></div>
|
|
|
|
|
|
|
|
|
|
| 127 |
<div id="depth-chart"></div>
|
| 128 |
</div>
|
|
|
|
|
|
|
| 129 |
<div id="p-stats" class="panel">
|
| 130 |
+
<div class="panel-header">ANALYTICS ENGINE</div>
|
| 131 |
<div class="stats-content">
|
|
|
|
|
|
|
| 132 |
<div class="stat-box">
|
| 133 |
<span class="stat-label">NET LIQUIDITY SCORE</span>
|
| 134 |
+
<span id="score-val" class="stat-value">0</span>
|
| 135 |
+
<div class="meter-container"><div class="mid-mark"></div><div id="score-bar" class="meter-bar" style="left: 50%; width: 0%;"></div></div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 136 |
</div>
|
|
|
|
|
|
|
| 137 |
<div class="stat-box">
|
| 138 |
+
<span class="stat-label">STRUCTURE</span>
|
| 139 |
+
<div style="display:flex; justify-content:space-between;"><span>RES:</span><span id="res-val" class="red">---</span></div>
|
| 140 |
+
<div style="display:flex; justify-content:space-between;"><span>SUP:</span><span id="sup-val" class="green">---</span></div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 141 |
</div>
|
|
|
|
|
|
|
| 142 |
<div class="stat-box" style="border: 1px solid #444;">
|
| 143 |
+
<span class="stat-label" style="color:var(--accent-green);">AI PROJECTION</span>
|
| 144 |
+
<span id="proj-val" class="stat-value">---</span>
|
| 145 |
</div>
|
|
|
|
|
|
|
| 146 |
<div class="terminal-box">
|
| 147 |
<div class="term-header">> SYSTEM LOGS</div>
|
| 148 |
<div id="term-logs"></div>
|
| 149 |
</div>
|
|
|
|
| 150 |
</div>
|
| 151 |
</div>
|
| 152 |
</div>
|
| 153 |
|
| 154 |
<script>
|
| 155 |
+
// Global Error Handler
|
| 156 |
+
window.onerror = function(msg, url, lineNo, columnNo, error) {{
|
| 157 |
+
const errDiv = document.getElementById('error-log');
|
| 158 |
+
errDiv.innerHTML += `ERROR: ${{msg}} (Line: ${{lineNo}})<br>`;
|
| 159 |
+
document.getElementById('loading-status').style.color = 'red';
|
| 160 |
+
document.getElementById('loading-status').innerText = "SYSTEM FAILURE - CHECK CONSOLE";
|
| 161 |
+
return false;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 162 |
}};
|
|
|
|
|
|
|
|
|
|
| 163 |
|
|
|
|
| 164 |
const dom = {{
|
|
|
|
| 165 |
loader: document.getElementById('loader'),
|
| 166 |
+
status: document.getElementById('loading-status'),
|
| 167 |
+
price: document.getElementById('live-price'),
|
| 168 |
scoreVal: document.getElementById('score-val'),
|
| 169 |
scoreBar: document.getElementById('score-bar'),
|
| 170 |
resVal: document.getElementById('res-val'),
|
|
|
|
| 173 |
logs: document.getElementById('term-logs')
|
| 174 |
}};
|
| 175 |
|
| 176 |
+
// Verify Libraries
|
| 177 |
+
if (typeof LightweightCharts === 'undefined') throw new Error("LightweightCharts CDN failed to load.");
|
| 178 |
+
if (typeof Plotly === 'undefined') throw new Error("Plotly CDN failed to load.");
|
| 179 |
+
|
| 180 |
+
// --- CHART SETUP ---
|
| 181 |
+
const chart = LightweightCharts.createChart(document.getElementById('tv-chart'), {{
|
| 182 |
+
layout: {{ background: {{ type: 'solid', color: '#12141a' }}, textColor: '#888' }},
|
| 183 |
+
grid: {{ vertLines: {{ color: '#1f2833' }}, horzLines: {{ color: '#1f2833' }} }},
|
| 184 |
+
timeScale: {{ timeVisible: true, secondsVisible: true }},
|
| 185 |
+
}});
|
| 186 |
+
const lineSeries = chart.addLineSeries({{ color: '#2962FF', lineWidth: 2 }});
|
| 187 |
+
const predSeries = chart.addLineSeries({{ color: '#ff9800', lineWidth: 2, lineStyle: 2 }}); // Dotted
|
| 188 |
+
|
| 189 |
+
let supportLine = null, resistanceLine = null;
|
| 190 |
+
|
| 191 |
+
// Auto Resize
|
| 192 |
+
new ResizeObserver(entries => {{
|
| 193 |
+
if (entries[0].target) {{
|
| 194 |
+
const r = entries[0].contentRect;
|
| 195 |
+
chart.applyOptions({{ width: r.width, height: r.height }});
|
| 196 |
+
}}
|
| 197 |
+
}}).observe(document.getElementById('tv-chart'));
|
| 198 |
+
|
| 199 |
+
// Plotly Setup
|
| 200 |
+
Plotly.newPlot('depth-chart', [], {{
|
| 201 |
+
paper_bgcolor: '#12141a', plot_bgcolor: '#12141a',
|
| 202 |
+
font: {{ color: '#888', family: 'monospace' }},
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+
margin: {{ t: 10, b: 30, l: 40, r: 20 }},
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| 204 |
+
xaxis: {{ gridcolor: '#1f2833' }}, yaxis: {{ gridcolor: '#1f2833' }},
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+
showlegend: false
|
| 206 |
+
}}, {{ responsive: true, displayModeBar: false }});
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| 208 |
function log(msg, type='neutral') {{
|
| 209 |
const div = document.createElement('div');
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| 210 |
+
div.className = 'log-line';
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| 211 |
+
div.style.borderLeftColor = type === 'bull' ? '#66fcf1' : type === 'bear' ? '#ff3b3b' : '#333';
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| 212 |
+
div.innerHTML = `<span style="opacity:0.5">${{new Date().toLocaleTimeString()}}</span> ${{msg}}`;
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| 213 |
dom.logs.prepend(div);
|
| 214 |
if (dom.logs.children.length > 20) dom.logs.removeChild(dom.logs.lastChild);
|
| 215 |
}}
|
| 216 |
|
| 217 |
async function fetchData() {{
|
| 218 |
try {{
|
| 219 |
+
// Cache busting with timestamp to prevent stuck "Initializing" state
|
| 220 |
+
const res = await fetch('/data?t=' + Date.now());
|
| 221 |
const data = await res.json();
|
| 222 |
+
|
| 223 |
+
if (data.error) {{
|
| 224 |
+
dom.status.innerText = "Waiting for market data...";
|
| 225 |
+
return;
|
| 226 |
+
}}
|
| 227 |
+
|
| 228 |
+
// Data received - Hide Loader
|
| 229 |
dom.loader.style.display = 'none';
|
| 230 |
|
| 231 |
+
// 1. Update Price Chart
|
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|
| 232 |
const uniqueHistory = [];
|
| 233 |
+
const seen = new Set();
|
| 234 |
+
data.history.forEach(d => {{
|
| 235 |
+
const t = Math.floor(d.t);
|
| 236 |
+
if (!seen.has(t)) {{ seen.add(t); uniqueHistory.push({{ time: t, value: d.p }}); }}
|
| 237 |
}});
|
| 238 |
|
| 239 |
+
if (uniqueHistory.length > 0) {{
|
| 240 |
+
lineSeries.setData(uniqueHistory);
|
| 241 |
+
const last = uniqueHistory[uniqueHistory.length - 1];
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|
| 242 |
|
| 243 |
+
if (data.analysis) {{
|
| 244 |
+
const {{ projected, support, resistance, net_score }} = data.analysis;
|
| 245 |
+
|
| 246 |
+
// Prediction
|
| 247 |
+
predSeries.setData([last, {{ time: last.time + 60, value: projected }}]);
|
| 248 |
+
dom.projVal.innerText = projected.toFixed(2);
|
| 249 |
+
dom.price.innerText = data.mid.toFixed(2);
|
| 250 |
+
|
| 251 |
+
// S/R Lines
|
| 252 |
+
if (support) {{
|
| 253 |
+
dom.supVal.innerText = support.toFixed(0);
|
| 254 |
+
if (!supportLine) supportLine = lineSeries.createPriceLine({{ price: support, color: '#00e676', title: 'SUP' }});
|
| 255 |
+
else supportLine.applyOptions({{ price: support }});
|
| 256 |
+
}} else {{
|
| 257 |
+
dom.supVal.innerText = '---';
|
| 258 |
+
if (supportLine) {{ lineSeries.removePriceLine(supportLine); supportLine = null; }}
|
| 259 |
+
}}
|
| 260 |
+
|
| 261 |
+
if (resistance) {{
|
| 262 |
+
dom.resVal.innerText = resistance.toFixed(0);
|
| 263 |
+
if (!resistanceLine) resistanceLine = lineSeries.createPriceLine({{ price: resistance, color: '#ff1744', title: 'RES' }});
|
| 264 |
+
else resistanceLine.applyOptions({{ price: resistance }});
|
| 265 |
+
}} else {{
|
| 266 |
+
dom.resVal.innerText = '---';
|
| 267 |
+
if (resistanceLine) {{ lineSeries.removePriceLine(resistanceLine); resistanceLine = null; }}
|
| 268 |
+
}}
|
| 269 |
+
|
| 270 |
+
// Score Meter
|
| 271 |
+
dom.scoreVal.innerText = net_score.toFixed(1);
|
| 272 |
+
dom.scoreVal.className = net_score > 0 ? "stat-value green" : "stat-value red";
|
| 273 |
+
let barW = Math.min(Math.abs(net_score)*2, 50);
|
| 274 |
+
dom.scoreBar.style.width = barW + '%';
|
| 275 |
+
dom.scoreBar.style.left = net_score > 0 ? '50%' : (50 - barW) + '%';
|
| 276 |
+
dom.scoreBar.style.background = net_score > 0 ? '#66fcf1' : '#ff3b3b';
|
| 277 |
+
|
| 278 |
+
// Random Logs
|
| 279 |
+
if (Math.random() > 0.95) {{
|
| 280 |
+
if (net_score > 30) log("Significant Bullish flow", 'bull');
|
| 281 |
+
if (net_score < -30) log("Significant Bearish flow", 'bear');
|
| 282 |
+
}}
|
| 283 |
+
}}
|
| 284 |
}}
|
| 285 |
|
| 286 |
+
// 2. Update Depth Chart
|
| 287 |
+
const trace = {{ x: data.diff.x, y: data.diff.y, type: 'scatter', fill: 'tozeroy', line: {{color: '#e040fb'}} }};
|
| 288 |
+
Plotly.react('depth-chart', [trace], {{
|
| 289 |
+
paper_bgcolor: '#12141a', plot_bgcolor: '#12141a',
|
| 290 |
+
font: {{ color: '#888' }}, margin: {{ t: 10, b: 20, l: 30, r: 10 }},
|
| 291 |
+
xaxis: {{ showgrid: false }}, yaxis: {{ showgrid: true, gridcolor: '#333' }},
|
| 292 |
+
shapes: [{{ type: 'line', x0: 0, x1: 1, xref: 'paper', y0: 0, y1: 0, line: {{color: '#555'}} }}]
|
| 293 |
+
}}, {{ displayModeBar: false }});
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 294 |
|
| 295 |
}} catch (e) {{
|
| 296 |
console.error(e);
|
| 297 |
+
// Do not show error on UI for transient fetch errors, just log to console
|
| 298 |
+
// unless it persists
|
| 299 |
}}
|
| 300 |
}}
|
| 301 |
|
|
|
|
| 323 |
|
| 324 |
if channel == "book":
|
| 325 |
for item in data_entries:
|
|
|
|
| 326 |
for bid in item.get('bids', []):
|
| 327 |
q, p = float(bid['qty']), float(bid['price'])
|
| 328 |
if q == 0: market_state['bids'].pop(p, None)
|
| 329 |
else: market_state['bids'][p] = q
|
|
|
|
| 330 |
for ask in item.get('asks', []):
|
| 331 |
q, p = float(ask['qty']), float(ask['price'])
|
| 332 |
if q == 0: market_state['asks'].pop(p, None)
|
|
|
|
| 336 |
best_bid = max(market_state['bids'].keys())
|
| 337 |
best_ask = min(market_state['asks'].keys())
|
| 338 |
mid = (best_bid + best_ask) / 2
|
|
|
|
| 339 |
market_state['prev_mid'] = market_state['current_mid']
|
| 340 |
market_state['current_mid'] = mid
|
| 341 |
market_state['ready'] = True
|
| 342 |
+
|
| 343 |
now = time.time()
|
| 344 |
+
# Throttle history recording (200ms)
|
| 345 |
+
if not market_state['history'] or (now - market_state['history'][-1]['t'] > 0.2):
|
| 346 |
market_state['history'].append({'t': now, 'p': mid})
|
| 347 |
if len(market_state['history']) > HISTORY_LENGTH:
|
| 348 |
market_state['history'].pop(0)
|
|
|
|
| 355 |
return web.Response(text=HTML_PAGE, content_type='text/html')
|
| 356 |
|
| 357 |
async def handle_data(request):
|
| 358 |
+
# Returns JSON. If not ready, returns error field.
|
| 359 |
if not market_state['ready']:
|
| 360 |
return web.json_response({"error": "Initializing..."})
|
| 361 |
|
| 362 |
mid = market_state['current_mid']
|
| 363 |
|
| 364 |
+
# Snapshot & process
|
| 365 |
raw_bids = sorted(market_state['bids'].items(), key=lambda x: -x[0])[:300]
|
| 366 |
raw_asks = sorted(market_state['asks'].items(), key=lambda x: x[0])[:300]
|
| 367 |
|
|
|
|
| 368 |
d_b_x, d_b_y, cum = [], [], 0
|
| 369 |
for p, q in raw_bids:
|
| 370 |
d = mid - p
|
|
|
|
| 379 |
cum += q
|
| 380 |
d_a_x.append(d); d_a_y.append(cum)
|
| 381 |
|
| 382 |
+
# Net Liquidity Curve
|
| 383 |
diff_x, diff_y = [], []
|
| 384 |
if d_b_x and d_a_x:
|
| 385 |
max_dist = min(d_b_x[-1], d_a_x[-1])
|
|
|
|
| 386 |
step_size = max_dist / 100
|
| 387 |
steps = [i * step_size for i in range(1, 101)]
|
| 388 |
|
| 389 |
for s in steps:
|
|
|
|
| 390 |
idx_b = bisect.bisect_right(d_b_x, s)
|
| 391 |
vol_b = d_b_y[idx_b-1] if idx_b > 0 else 0
|
|
|
|
| 392 |
idx_a = bisect.bisect_right(d_a_x, s)
|
| 393 |
vol_a = d_a_y[idx_a-1] if idx_a > 0 else 0
|
| 394 |
|
| 395 |
diff_x.append(s)
|
| 396 |
+
diff_y.append(vol_b - vol_a)
|
| 397 |
|
|
|
|
| 398 |
analysis = analyze_structure(diff_x, diff_y, mid)
|
| 399 |
|
| 400 |
return web.json_response({
|
| 401 |
"mid": mid,
|
| 402 |
+
"history": market_state['history'],
|
| 403 |
"diff": { "x": diff_x, "y": diff_y },
|
| 404 |
"analysis": analysis
|
| 405 |
})
|