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import asyncio |
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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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SYMBOL_KRAKEN = "BTC/USD" |
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PORT = 7860 |
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HISTORY_LENGTH = 300 |
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BROADCAST_RATE = 0.1 |
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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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"liq_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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} |
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connected_clients = set() |
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def analyze_structure(diff_x, diff_y, current_mid): |
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if not diff_y or len(diff_y) < 5: |
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return None |
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net_total = diff_y[-1] |
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momentum_shift = net_total * 0.2 |
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projected_price = current_mid + momentum_shift |
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support_level = None |
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resistance_level = None |
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scan_limit = len(diff_y) // 2 |
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for i in range(1, scan_limit): |
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prev_val = diff_y[i-1] |
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curr_val = diff_y[i] |
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dist = diff_x[i] |
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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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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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return { |
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"projected": projected_price, |
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"support": support_level, |
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"resistance": resistance_level, |
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"net_score": net_total |
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} |
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def process_market_data(): |
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if not market_state['ready']: |
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return {"error": "Initializing..."} |
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mid = market_state['current_mid'] |
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raw_bids = sorted(market_state['bids'].items(), key=lambda x: -x[0])[:300] |
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raw_asks = sorted(market_state['asks'].items(), key=lambda x: x[0])[:300] |
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d_b_x, d_b_y, cum = [], [], 0 |
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for p, q in raw_bids: |
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d = mid - p |
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if d >= 0: |
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cum += q |
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d_b_x.append(d); d_b_y.append(cum) |
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d_a_x, d_a_y, cum = [], [], 0 |
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for p, q in raw_asks: |
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d = p - mid |
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if d >= 0: |
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cum += q |
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d_a_x.append(d); d_a_y.append(cum) |
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diff_x, diff_y = [], [] |
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if d_b_x and d_a_x: |
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max_dist = min(d_b_x[-1], d_a_x[-1]) |
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step_size = max_dist / 100 |
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steps = [i * step_size for i in range(1, 101)] |
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for s in steps: |
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idx_b = bisect.bisect_right(d_b_x, s) |
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vol_b = d_b_y[idx_b-1] if idx_b > 0 else 0 |
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idx_a = bisect.bisect_right(d_a_x, s) |
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vol_a = d_a_y[idx_a-1] if idx_a > 0 else 0 |
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diff_x.append(s) |
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diff_y.append(vol_b - vol_a) |
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analysis = analyze_structure(diff_x, diff_y, mid) |
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now = time.time() |
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if analysis: |
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if not market_state['liq_history'] or (now - market_state['liq_history'][-1]['t'] > 0.5): |
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market_state['liq_history'].append({'t': now, 'v': analysis['net_score']}) |
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if len(market_state['liq_history']) > HISTORY_LENGTH: |
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market_state['liq_history'].pop(0) |
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return { |
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"mid": mid, |
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"history": market_state['history'], |
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"liq_history": market_state['liq_history'], |
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"diff": { "x": diff_x, "y": diff_y }, |
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"analysis": analysis |
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} |
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HTML_PAGE = f""" |
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<!DOCTYPE html> |
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<html lang="en"> |
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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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<script src="https://unpkg.com/lightweight-charts@4.1.1/dist/lightweight-charts.standalone.production.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-red: #ff3b3b; |
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--border: #2d3842; |
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}} |
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body {{ margin: 0; padding: 0; background-color: var(--bg-color); color: var(--text-main); font-family: monospace; overflow: hidden; height: 100vh; width: 100vw; }} |
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/* Updated Grid for 3 Rows in Main Column */ |
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.grid-container {{ |
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display: grid; |
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grid-template-columns: 3fr 1fr; |
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grid-template-rows: 2fr 1fr 1fr; /* Price (50%), Trend (25%), Depth (25%) */ |
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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 {{ background: #12141a; border: 1px solid var(--border); border-radius: 4px; position: relative; display: flex; flex-direction: column; overflow: hidden; }} |
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#p-price {{ grid-column: 1 / 2; grid-row: 1 / 2; }} |
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#p-trend {{ grid-column: 1 / 2; grid-row: 2 / 3; }} /* NEW PANEL */ |
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#p-depth {{ grid-column: 1 / 2; grid-row: 3 / 4; }} |
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#p-stats {{ grid-column: 2 / 3; grid-row: 1 / 4; border-left: 2px solid #45a29e; }} |
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.panel-header {{ padding: 6px 10px; background: #0f1116; border-bottom: 1px solid var(--border); font-size: 11px; font-weight: bold; display: flex; justify-content: space-between; color: var(--accent-green); text-transform: uppercase; }} |
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#tv-price, #tv-trend, #tv-depth {{ flex: 1; width: 100%; position: relative; }} |
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.stats-content {{ padding: 15px; overflow-y: auto; flex: 1; }} |
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.stat-box {{ margin-bottom: 20px; padding: 10px; background: rgba(255,255,255,0.02); border-radius: 4px; }} |
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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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.green {{ color: var(--accent-green); }} |
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.red {{ color: var(--accent-red); }} |
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.terminal-box {{ margin-top: auto; font-size: 11px; height: 200px; display: flex; flex-direction: column; }} |
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.term-header {{ border-bottom: 1px dashed #444; margin-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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#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); }} |
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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 style="font-size: 24px;">ESTABLISHING UPLINK...</div> |
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<div id="loading-status">Connecting to WebSocket Stream...</div> |
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</div> |
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<div class="grid-container"> |
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<!-- ROW 1: PRICE --> |
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<div id="p-price" class="panel"> |
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<div class="panel-header"><span>BTC/USD Price Action</span><span id="live-price">---</span></div> |
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<div id="tv-price"></div> |
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</div> |
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<!-- ROW 2: LIQUIDITY TREND (NEW) --> |
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<div id="p-trend" class="panel"> |
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<div class="panel-header"><span>Net Liquidity Trend (Time Series)</span><span id="live-trend">0.0</span></div> |
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<div id="tv-trend"></div> |
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</div> |
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<!-- ROW 3: DEPTH STRUCTURE --> |
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<div id="p-depth" class="panel"> |
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<div class="panel-header"><span>Market Depth (Snapshot)</span><span>Range: $100</span></div> |
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<div id="tv-depth"></div> |
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</div> |
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<!-- COL 2: STATS --> |
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<div id="p-stats" class="panel"> |
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<div class="panel-header">ANALYTICS ENGINE</div> |
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<div class="stats-content"> |
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<div class="stat-box"> |
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<span class="stat-label">NET LIQUIDITY SCORE</span> |
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<span id="score-val" class="stat-value">0</span> |
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</div> |
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<div class="stat-box"> |
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<span class="stat-label">KEY STRUCTURE</span> |
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<div style="display:flex; justify-content:space-between;"><span>RESIST:</span><span id="res-val" class="red">---</span></div> |
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<div style="display:flex; justify-content:space-between;"><span>SUPPORT:</span><span id="sup-val" class="green">---</span></div> |
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</div> |
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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 PROJECTION</span> |
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<span id="proj-val" class="stat-value">---</span> |
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</div> |
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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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document.addEventListener('DOMContentLoaded', () => {{ |
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const dom = {{ |
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loader: document.getElementById('loader'), |
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status: document.getElementById('loading-status'), |
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price: document.getElementById('live-price'), |
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trend: document.getElementById('live-trend'), |
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scoreVal: document.getElementById('score-val'), |
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resVal: document.getElementById('res-val'), |
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supVal: document.getElementById('sup-val'), |
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projVal: document.getElementById('proj-val'), |
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logs: document.getElementById('term-logs') |
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}}; |
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// --- CHART INIT --- |
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const chartCommon = {{ |
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layout: {{ background: {{ type: 'solid', color: '#12141a' }}, textColor: '#888' }}, |
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grid: {{ vertLines: {{ color: '#1f2833' }}, horzLines: {{ color: '#1f2833' }} }}, |
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rightPriceScale: {{ borderColor: '#2d3842' }}, |
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timeScale: {{ borderColor: '#2d3842', timeVisible: true, secondsVisible: true }}, |
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crosshair: {{ mode: 0 }} |
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}}; |
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// 1. Price Chart |
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const priceChart = LightweightCharts.createChart(document.getElementById('tv-price'), chartCommon); |
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const priceSeries = priceChart.addLineSeries({{ color: '#2962FF', lineWidth: 2 }}); |
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const predSeries = priceChart.addLineSeries({{ color: '#ff9800', lineWidth: 2, lineStyle: 2 }}); |
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let supportLine = null, resistanceLine = null; |
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// 2. Trend Chart (Baseline Series) |
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const trendChart = LightweightCharts.createChart(document.getElementById('tv-trend'), {{ |
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...chartCommon, |
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rightPriceScale: {{ scaleMargins: {{ top: 0.1, bottom: 0.1 }} }} |
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}}); |
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// Baseline: Positive = Green, Negative = Red |
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const trendSeries = trendChart.addBaselineSeries({{ |
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baseValue: {{ type: 'price', price: 0 }}, |
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topLineColor: '#66fcf1', topFillColor1: 'rgba(102, 252, 241, 0.28)', topFillColor2: 'rgba(102, 252, 241, 0.05)', |
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bottomLineColor: '#ff3b3b', bottomFillColor1: 'rgba(255, 59, 59, 0.28)', bottomFillColor2: 'rgba(255, 59, 59, 0.05)', |
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}}); |
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// 3. Depth Chart (Custom Format) |
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const depthChart = LightweightCharts.createChart(document.getElementById('tv-depth'), {{ |
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...chartCommon, |
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timeScale: {{ tickMarkFormatter: (time) => parseFloat(time).toFixed(0) }}, |
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localization: {{ timeFormatter: (time) => 'Dist: $' + parseFloat(time).toFixed(2) }} |
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}}); |
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const bullSeries = depthChart.addAreaSeries({{ topColor: 'rgba(102, 252, 241, 0.4)', bottomColor: 'rgba(102, 252, 241, 0.0)', lineColor: '#66fcf1', lineWidth: 2 }}); |
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const bearSeries = depthChart.addAreaSeries({{ topColor: 'rgba(255, 59, 59, 0.4)', bottomColor: 'rgba(255, 59, 59, 0.0)', lineColor: '#ff3b3b', lineWidth: 2 }}); |
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// Auto-Resize |
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const resizeObserver = new ResizeObserver(entries => {{ |
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for(let entry of entries) {{ |
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const {{width, height}} = entry.contentRect; |
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if(entry.target.id === 'tv-price') priceChart.applyOptions({{width, height}}); |
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if(entry.target.id === 'tv-trend') trendChart.applyOptions({{width, height}}); |
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if(entry.target.id === 'tv-depth') depthChart.applyOptions({{width, height}}); |
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}} |
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}}); |
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['tv-price', 'tv-trend', 'tv-depth'].forEach(id => resizeObserver.observe(document.getElementById(id))); |
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// --- WEBSOCKET --- |
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function log(msg, type='neutral') {{ |
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const div = document.createElement('div'); |
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div.className = 'log-line'; |
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div.style.borderLeftColor = type === 'bull' ? '#66fcf1' : type === 'bear' ? '#ff3b3b' : '#333'; |
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div.innerHTML = `<span style="opacity:0.5">${{new Date().toLocaleTimeString()}}</span> ${{msg}}`; |
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dom.logs.prepend(div); |
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if (dom.logs.children.length > 15) dom.logs.removeChild(dom.logs.lastChild); |
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}} |
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function connect() {{ |
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const proto = window.location.protocol === 'https:' ? 'wss' : 'ws'; |
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const url = `${{proto}}://${{window.location.host}}/ws`; |
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const ws = new WebSocket(url); |
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ws.onopen = () => {{ dom.status.innerText = "Receiving Data Stream..."; }}; |
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ws.onclose = () => {{ dom.loader.style.display = 'flex'; dom.status.innerText = "Reconnecting..."; setTimeout(connect, 3000); }}; |
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ws.onmessage = (event) => {{ |
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const data = JSON.parse(event.data); |
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if (data.error) return; |
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dom.loader.style.display = 'none'; |
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// 1. Price Data |
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const cleanHistory = []; |
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const seen = new Set(); |
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data.history.forEach(d => {{ |
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const t = Math.floor(d.t); |
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if (!seen.has(t)) {{ seen.add(t); cleanHistory.push({{ time: t, value: d.p }}); }} |
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}}); |
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if (cleanHistory.length) {{ |
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priceSeries.setData(cleanHistory); |
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const last = cleanHistory[cleanHistory.length-1]; |
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dom.price.innerText = last.value.toLocaleString(undefined, {{minimumFractionDigits: 2}}); |
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|
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// Analysis Overlays |
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if (data.analysis) {{ |
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const {{ projected, support, resistance, net_score }} = data.analysis; |
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predSeries.setData([last, {{ time: last.time + 60, value: projected }}]); |
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dom.projVal.innerText = projected.toFixed(0); |
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// Sync Trend Chart Value |
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dom.trend.innerText = net_score.toFixed(1); |
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dom.trend.style.color = net_score >= 0 ? 'var(--accent-green)' : 'var(--accent-red)'; |
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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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// 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) supportLine = priceSeries.createPriceLine({{ price: support, color: '#00e676', title: 'SUP' }}); |
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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) {{ priceSeries.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) resistanceLine = priceSeries.createPriceLine({{ price: resistance, color: '#ff1744', title: 'RES' }}); |
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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) {{ priceSeries.removePriceLine(resistanceLine); resistanceLine = null; }} |
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}} |
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|
|
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// AI Logs |
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if (Math.abs(net_score) > 50 && Math.random() > 0.98) {{ |
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log(net_score > 0 ? "Momentum: Strong Buy" : "Momentum: Strong Sell", net_score > 0 ? 'bull' : 'bear'); |
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}} |
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}} |
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}} |
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|
|
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// 2. Liquidity Trend Data |
|
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if (data.liq_history) {{ |
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const trendData = []; |
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const seenT = new Set(); |
|
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data.liq_history.forEach(d => {{ |
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const t = Math.floor(d.t); |
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if(!seenT.has(t)) {{ seenT.add(t); trendData.push({{ time: t, value: d.v }}); }} |
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}}); |
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if (trendData.length) trendSeries.setData(trendData); |
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}} |
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|
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// 3. Depth Snapshot |
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if (data.diff && data.diff.x.length) {{ |
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const bull = [], bear = []; |
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for (let i = 0; i < data.diff.x.length; i++) {{ |
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const x = data.diff.x[i]; |
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const y = data.diff.y[i]; |
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if (y >= 0) {{ bull.push({{ time: x, value: y }}); bear.push({{ time: x, value: 0 }}); }} |
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else {{ bull.push({{ time: x, value: 0 }}); bear.push({{ time: x, value: y }}); }} |
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}} |
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bullSeries.setData(bull); |
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bearSeries.setData(bear); |
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}} |
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}}; |
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}} |
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connect(); |
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}}); |
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</script> |
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|
</body> |
|
|
</html> |
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|
""" |
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|
|
|
async def kraken_worker(): |
|
|
global market_state |
|
|
while True: |
|
|
try: |
|
|
async with websockets.connect("wss://ws.kraken.com/v2") as ws: |
|
|
logging.info(f"🔌 Connected to Kraken ({SYMBOL_KRAKEN})") |
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|
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 = payload.get("data", []) |
|
|
|
|
|
if channel == "book": |
|
|
for item in data: |
|
|
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['prev_mid'] = market_state['current_mid'] |
|
|
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"⚠️ Reconnecting: {e}") |
|
|
await asyncio.sleep(3) |
|
|
|
|
|
async def broadcast_worker(): |
|
|
while True: |
|
|
if connected_clients and market_state['ready']: |
|
|
payload = process_market_data() |
|
|
msg = json.dumps(payload) |
|
|
for ws in list(connected_clients): |
|
|
try: await ws.send_str(msg) |
|
|
except: pass |
|
|
await asyncio.sleep(BROADCAST_RATE) |
|
|
|
|
|
async def websocket_handler(request): |
|
|
ws = web.WebSocketResponse() |
|
|
await ws.prepare(request) |
|
|
connected_clients.add(ws) |
|
|
try: |
|
|
async for msg in ws: |
|
|
pass |
|
|
finally: |
|
|
connected_clients.remove(ws) |
|
|
return ws |
|
|
|
|
|
async def handle_index(request): |
|
|
return web.Response(text=HTML_PAGE, content_type='text/html') |
|
|
|
|
|
async def start_background(app): |
|
|
app['kraken_task'] = asyncio.create_task(kraken_worker()) |
|
|
app['broadcast_task'] = asyncio.create_task(broadcast_worker()) |
|
|
|
|
|
async def cleanup_background(app): |
|
|
app['kraken_task'].cancel() |
|
|
app['broadcast_task'].cancel() |
|
|
try: await app['kraken_task']; await app['broadcast_task'] |
|
|
except: pass |
|
|
|
|
|
async def main(): |
|
|
app = web.Application() |
|
|
app.router.add_get('/', handle_index) |
|
|
app.router.add_get('/ws', websocket_handler) |
|
|
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"🚀 AI Dashboard: http://localhost:{PORT}") |
|
|
await asyncio.Event().wait() |
|
|
|
|
|
if __name__ == "__main__": |
|
|
try: asyncio.run(main()) |
|
|
except KeyboardInterrupt: pass |
