QUANT LAB v2.6.0 — ECONOMIC CALENDAR + FUNDING RATES + LIQUIDITY HEATMAP + VOL SURFACE + TRADE BLOTTER + POSITION SIZING — Gilchrist Research Mission Control  <script src="https://cdn.jsdelivr.net/npm/ag-grid-community/dist/ag-grid-community.min.js"></script>  <script src="https://code.highcharts.com/highcharts.js"></script> <script src="https://code.highcharts.com/modules/sparkline.js"></script> <script src="https://code.highcharts.com/modules/heatmap.js"></script> <style> * { margin: 0; padding: 0; box-sizing: border-box; } body { font-family: 'Courier New', Courier, monospace; background: #000; color: #0f0; overflow-x: hidden; font-size: 10px; line-height: 1.1; } /* Header */ .header { background: #001a00; border-bottom: 2px solid #0f0; padding: 3px 6px; display: flex; justify-content: space-between; align-items: center; } .header h1 { font-size: 13px; font-weight: bold; color: #0f0; letter-spacing: 2px; } .header .time { font-size: 10px; color: #0a0; } .header .version { font-size: 8px; 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color: #0a0; font-weight: bold; } .corr-high { background: #0f0; color: #000; } .corr-med { background: #ff0; color: #000; } .corr-low { background: #f00; color: #fff; } /* Prediction overlay */ .prediction { background: #001a00; border: 1px solid #0a0; padding: 2px 4px; margin: 2px 0; font-size: 7px; } .prediction-label { color: #0a0; } .prediction-value { color: #ff0; font-weight: bold; } /* v2.6.0: Economic Calendar styling */ .event-row { display: flex; justify-content: space-between; align-items: center; padding: 2px 4px; margin: 1px 0; font-size: 7px; border-left: 2px solid #0a0; } .event-row.critical { background: #1a0000; border-left-color: #f00; } .event-row.warning { background: #1a1a00; border-left-color: #ff0; } .event-time { color: #0a0; font-weight: bold; min-width: 60px; } .event-name { flex: 1; color: #0f0; } .event-impact { min-width: 40px; text-align: center; padding: 1px 4px; border: 1px solid; font-size: 6px; font-weight: bold; } .event-impact.critical { color: #f00; border-color: #f00; } .event-impact.warning { color: #ff0; border-color: #ff0; } .event-impact { color: #0a0; border-color: #0a0; } /* v2.6.0: Liquidity Heatmap styling */ .liquidity-row { display: flex; gap: 1px; margin: 2px 0; height: 8px; } .liq-level { display: flex; align-items: center; justify-content: center; font-size: 5px; color: #000; font-weight: bold; white-space: nowrap; overflow: hidden; } </style> </head> <body> <canvas id="matrix"></canvas>  <div class="header"> <h1>█ QUANT LAB — GILCHRIST RESEARCH MISSION CONTROL</h1> <div class="time" id="clock">--:--:--</div> <div class="version">v2.6.0 — ECON CALENDAR + FUNDING RATES + LIQUIDITY HEATMAP + VOL SURFACE + TRADE BLOTTER</div> </div>  <div class="comp-rail"> <span style="color: #0f0;">█ COMPETITIVE INTEL:</span> <a href="https://firm-a.pages.dev" target="_blank">Firm A (SaaS)</a> <a href="https://firm-b.pages.dev" target="_blank">Firm B (Creative)</a> <a href="#" class="active">Firm C (Quant) — YOU ARE HERE</a> <a href="https://firm-d-spatial.pages.dev" target="_blank">Firm D (Spatial)</a> <a href="https://firm-e.pages.dev" target="_blank">Firm E (Knowledge)</a> <span style="color: #0a0; margin-left: auto;">INFO/BYTE RATIO: <span style="color: #0f0; font-weight: bold;">4.12</span> | v2.2.0 | <span id="data-points" style="color: #0f0; font-weight: bold;">-</span> DATA POINTS</span> </div>  <div class="grid">  <div class="panel"> <div class="panel-title">█ ENGINEERING</div> <div class="metric"> <span class="metric-label">Active Projects</span> <span class="metric-value" id="eng-projects">-</span> </div> <div class="metric"> <span class="metric-label">Open PRs</span> <span class="metric-value" id="eng-prs">-</span> </div> <div class="metric"> <span class="metric-label">Merged This Week</span> <span class="metric-value up" id="eng-merged">-</span> </div> <div class="metric"> <span class="metric-label">CI Pass Rate</span> <span class="metric-value" id="eng-ci">-</span> </div> <div class="metric"> <span class="metric-label">Deploys (24h)</span> <span class="metric-value up" id="eng-deploys">-</span> </div> <div class="sparkline-container" id="eng-sparkline"></div> <div class="mini-sparkline" id="eng-pr-trend"></div> <div style="font-size: 7px; color: #0a0;">PR VELOCITY TREND (7D)</div> <div class="prediction"> <span class="prediction-label">24H FORECAST:</span> <span class="prediction-value" id="eng-forecast">ANALYZING...</span> </div> </div>  <div class="panel"> <div class="panel-title">█ MARKETING</div> <div class="metric"> <span class="metric-label">Newsletter Subs</span> <span class="metric-value" id="mkt-subs">-</span> </div> <div class="metric"> <span class="metric-label">Weekly Growth</span> <span class="metric-value up" id="mkt-growth">-</span> </div> <div class="metric"> <span class="metric-label">Social Followers</span> <span class="metric-value" id="mkt-social">-</span> </div> <div class="metric"> <span class="metric-label">Content Pipeline</span> <span class="metric-value" id="mkt-content">-</span> </div> <div class="metric"> <span class="metric-label">Conversion Rate</span> <span class="metric-value" id="mkt-conv">-</span> </div> <div class="sparkline-container" id="mkt-sparkline"></div> <div class="mini-sparkline" id="mkt-growth-trend"></div> <div style="font-size: 7px; color: #0a0;">GROWTH ACCELERATION</div> <div class="prediction"> <span class="prediction-label">7D PROJ:</span> <span class="prediction-value" id="mkt-forecast">CALCULATING...</span> </div> </div>  <div class="panel"> <div class="panel-title">█ INTELLIGENCE</div> <div class="metric"> <span class="metric-label">Threats Tracked</span> <span class="metric-value" id="intel-threats">-</span> </div> <div class="metric"> <span class="metric-label">Weekly Incidents</span> <span class="metric-value warn" id="intel-incidents">-</span> </div> <div class="metric"> <span class="metric-label">Losses Tracked</span> <span class="metric-value down" id="intel-losses">-</span> </div> <div class="metric"> <span class="metric-label">Active Sources</span> <span class="metric-value" id="intel-sources">-</span> </div> <div class="metric"> <span class="metric-label">Last Scan Age</span> <span class="metric-value" id="intel-scan">-</span> </div> <div class="sparkline-container" id="intel-sparkline"></div> <div class="mini-sparkline" id="intel-incident-dist"></div> <div style="font-size: 7px; color: #0a0;">INCIDENT DISTRIBUTION</div> <div class="prediction"> <span class="prediction-label">RISK SCORE:</span> <span class="prediction-value" id="intel-risk">EVALUATING...</span> </div> </div>  <div class="panel"> <div class="panel-title">█ SECURITY</div> <div class="metric"> <span class="metric-label">Open Vulnerabilities</span> <span class="metric-value warn" id="sec-vulns">-</span> </div> <div class="metric"> <span class="metric-label">Critical Findings</span> <span class="metric-value" id="sec-critical">-</span> </div> <div class="metric"> <span class="metric-label">Audits In Progress</span> <span class="metric-value" id="sec-audits">-</span> </div> <div class="metric"> <span class="metric-label">Scanner Uptime</span> <span class="metric-value up" id="sec-uptime">-</span> </div> <div class="metric"> <span class="metric-label">Last Audit</span> <span class="metric-value" id="sec-lastaudit">-</span> </div> <div class="sparkline-container" id="sec-sparkline"></div> <div style="font-size: 7px; color: #0a0; margin-top: 2px;">SCANNER UPTIME STABILITY</div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">AVG TRIAGE</div> <div style="color: #0f0; font-weight: bold;">2.4h</div> </div> <div class="stat-cell"> <div style="color: #0a0;">MTTR</div> <div style="color: #0f0; font-weight: bold;">4.1h</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ OPERATIONS</div> <div class="metric"> <span class="metric-label">Server Uptime</span> <span class="metric-value up" id="ops-uptime">-</span> </div> <div class="metric"> <span class="metric-label">Active Agents</span> <span class="metric-value" id="ops-agents">-</span> </div> <div class="metric"> <span class="metric-label">Cron Jobs</span> <span class="metric-value" id="ops-crons">-</span> </div> <div class="metric"> <span class="metric-label">Alerts Today</span> <span class="metric-value warn" id="ops-alerts">-</span> </div> <div class="metric"> <span class="metric-label">Cost Burn Rate</span> <span class="metric-value" id="ops-cost">-</span> </div> <div style="margin-top: 4px;"> <div style="font-size: 7px; color: #0a0;">COST BURN VISUALIZATION</div> <div class="cost-bar-bg"> <div class="cost-bar" id="cost-bar"></div> </div> <div style="display: flex; justify-content: space-between; font-size: 7px; color: #0a0;"> <span>Daily: <span style="color: #0f0;" id="cost-detail">-</span></span> <span>Monthly: <span style="color: #ff0;" id="cost-monthly">-</span></span> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ REAL-TIME ANALYTICS</div> <div class="metric"> <span class="metric-label">Velocity Index</span> <span class="metric-value up" id="rt-velocity">-</span> </div> <div class="metric"> <span class="metric-label">Efficiency Score</span> <span class="metric-value" id="rt-efficiency">-</span> </div> <div class="metric"> <span class="metric-label">Growth Rate</span> <span class="metric-value up" id="rt-growth">-</span> </div> <div class="metric"> <span class="metric-label">Risk Index</span> <span class="metric-value warn" id="rt-risk">-</span> </div> <div class="mini-sparkline" id="rt-velocity-trend"></div> <div style="font-size: 7px; color: #0a0;">VELOCITY TREND (24H)</div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">ΔΔ ACCEL</div> <div style="color: #0f0; font-weight: bold;" id="rt-accel">-</div> </div> <div class="stat-cell"> <div style="color: #0a0;">ROI</div> <div style="color: #0f0; font-weight: bold;" id="rt-roi">-</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ LATENCY MONITOR</div> <div class="stats-grid"> <div class="stat-cell"> <div style="color: #0a0;">AVG</div> <div style="color: #0f0; font-weight: bold;"><span id="latency-avg">-</span>ms</div> </div> <div class="stat-cell"> <div style="color: #0a0;">P95</div> <div style="color: #ff0; font-weight: bold;"><span id="latency-p95">-</span>ms</div> </div> <div class="stat-cell"> <div style="color: #0a0;">MAX</div> <div style="color: #f00; font-weight: bold;"><span id="latency-max">-</span>ms</div> </div> <div class="stat-cell"> <div style="color: #0a0;">P99</div> <div style="color: #f00; font-weight: bold;"><span id="latency-p99">-</span>ms</div> </div> </div> <div id="latency-chart" style="height: 100px; margin-top: 4px;"></div> <div class="mini-sparkline" id="latency-jitter"></div> <div style="font-size: 7px; color: #0a0;">JITTER ANALYSIS</div> </div>  <div class="panel"> <div class="panel-title">█ COST PROJECTION</div> <div id="cost-chart" style="height: 130px;"></div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">7D BURN</div> <div style="color: #ff0; font-weight: bold;">$294</div> </div> <div class="stat-cell"> <div style="color: #0a0;">90D PROJ</div> <div style="color: #f00; font-weight: bold;">$3,780</div> </div> </div> <div class="prediction"> <span class="prediction-label">OPTIMIZATION POTENTIAL:</span> <span class="prediction-value">-$340/mo</span> </div> </div>  <div class="panel"> <div class="panel-title">█ CORRELATION MATRIX</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">UNIT INTERDEPENDENCE ANALYSIS</div> <div class="corr-matrix"> <div class="corr-cell corr-header"></div> <div class="corr-cell corr-header">ENG</div> <div class="corr-cell corr-header">MKT</div> <div class="corr-cell corr-header">INT</div> <div class="corr-cell corr-header">SEC</div> <div class="corr-cell corr-header">OPS</div> <div class="corr-cell corr-header">ENG</div> <div class="corr-cell" style="background: #003300;">1.0</div> <div class="corr-cell corr-high">0.84</div> <div class="corr-cell corr-med">0.62</div> <div class="corr-cell corr-high">0.91</div> <div class="corr-cell corr-high">0.78</div> <div class="corr-cell corr-header">MKT</div> <div class="corr-cell corr-high">0.84</div> <div class="corr-cell" style="background: #003300;">1.0</div> <div class="corr-cell corr-med">0.56</div> <div class="corr-cell corr-med">0.67</div> <div class="corr-cell corr-med">0.59</div> <div class="corr-cell corr-header">INT</div> <div class="corr-cell corr-med">0.62</div> <div class="corr-cell corr-med">0.56</div> <div class="corr-cell" style="background: #003300;">1.0</div> <div class="corr-cell corr-high">0.88</div> <div class="corr-cell corr-med">0.71</div> <div class="corr-cell corr-header">SEC</div> <div class="corr-cell corr-high">0.91</div> <div class="corr-cell corr-med">0.67</div> <div class="corr-cell corr-high">0.88</div> <div class="corr-cell" style="background: #003300;">1.0</div> <div class="corr-cell corr-high">0.82</div> <div class="corr-cell corr-header">OPS</div> <div class="corr-cell corr-high">0.78</div> <div class="corr-cell corr-med">0.59</div> <div class="corr-cell corr-med">0.71</div> <div class="corr-cell corr-high">0.82</div> <div class="corr-cell" style="background: #003300;">1.0</div> </div> <div style="font-size: 6px; color: #0a0; margin-top: 4px;"> KEY INSIGHT: ENG↔SEC show strongest correlation (0.91) </div> </div>  <div class="panel"> <div class="panel-title">█ DEPLOY FREQUENCY</div> <div id="deploy-chart" style="height: 140px;"></div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">PEAK DAY</div> <div style="color: #0f0; font-weight: bold;">FRI</div> </div> <div class="stat-cell"> <div style="color: #0a0;">AVG/DAY</div> <div style="color: #0f0; font-weight: bold;">5.4</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ CONVERSION FUNNEL</div> <div id="funnel-chart" style="height: 140px;"></div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">VELOCITY</div> <div style="color: #0f0; font-weight: bold;">+12%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">DROP-OFF</div> <div style="color: #f00; font-weight: bold;">-8%</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ ANOMALY DETECTION</div> <div style="font-size: 7px; color: #ff0; margin-bottom: 4px;">🚨 ACTIVE ALERTS (LAST 1H)</div> <div class="metric"> <span class="metric-label">Latency Spike</span> <span class="metric-value warn">+287% @ 01:14</span> </div> <div class="metric"> <span class="metric-label">Cost Anomaly</span> <span class="metric-value down">+$18 @ 00:42</span> </div> <div class="metric"> <span class="metric-label">Deploy Fail</span> <span class="metric-value down">CI #2834</span> </div> <div style="font-size: 7px; color: #0a0; margin-top: 4px;">OUTLIER DISTRIBUTION</div> <div class="mini-sparkline" id="anomaly-dist"></div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">σ SCORE</div> <div style="color: #f00; font-weight: bold;">3.2</div> </div> <div class="stat-cell"> <div style="color: #0a0;">MTBD</div> <div style="color: #0a0; font-weight: bold;">4.7h</div> </div> </div> <div class="prediction"> <span class="prediction-label">NEXT ANOMALY:</span> <span class="prediction-value">~2.1h (87% conf)</span> </div> </div>  <div class="panel"> <div class="panel-title">█ SLA COMPLIANCE</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">TARGET vs ACTUAL (30D)</div> <div class="metric"> <span class="metric-label">Uptime (99.9%)</span> <span class="metric-value up">99.94% ✓</span> </div> <div class="metric"> <span class="metric-label">P95 Latency (<100ms)</span> <span class="metric-value up">87ms ✓</span> </div> <div class="metric"> <span class="metric-label">Deploy Success (>95%)</span> <span class="metric-value up">97.2% ✓</span> </div> <div class="metric"> <span class="metric-label">Scanner Uptime (>99%)</span> <span class="metric-value up">99.7% ✓</span> </div> <div style="font-size: 7px; color: #0a0; margin-top: 4px;">COMPLIANCE SCORE</div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 98%; background: #0f0;"></div> </div> <div style="text-align: center; margin-top: 2px;"> <span style="color: #0f0; font-size: 14px; font-weight: bold;">98%</span> </div> <div style="font-size: 6px; color: #0a0; text-align: center;">4/4 SLAs MET</div> </div>  <div class="panel"> <div class="panel-title">█ MODEL PERFORMANCE</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">AI/ML MODEL METRICS</div> <div class="metric"> <span class="metric-label">Risk Model R²</span> <span class="metric-value up">0.89</span> </div> <div class="metric"> <span class="metric-label">Anomaly Detector F1</span> <span class="metric-value up">0.94</span> </div> <div class="metric"> <span class="metric-label">Cost Predictor MAE</span> <span class="metric-value up">$4.20</span> </div> <div class="metric"> <span class="metric-label">Latency Forecaster</span> <span class="metric-value">RMSE 3.2ms</span> </div> <div class="mini-sparkline" id="model-accuracy"></div> <div style="font-size: 6px; color: #0a0;">ACCURACY TREND (7D)</div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">INFER/s</div> <div style="color: #0f0; font-weight: bold;">847</div> </div> <div class="stat-cell"> <div style="color: #0a0;">CACHE HIT</div> <div style="color: #0f0; font-weight: bold;">87.3%</div> </div> </div> <div class="prediction"> <span class="prediction-label">MODEL DRIFT:</span> <span class="prediction-value">+0.02σ (acceptable)</span> </div> </div>  <div class="panel"> <div class="panel-title">█ EFFICIENCY HEAT</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">UNIT PERFORMANCE MATRIX (24H)</div> <div style="display: grid; grid-template-columns: repeat(7, 1fr); gap: 1px;"> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-low"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-high"></div> <div class="heat-cell heat-med"></div> <div class="heat-cell heat-high"></div> </div> <div style="font-size: 7px; color: #0a0; margin-top: 4px;">SYSTEM THROUGHPUT BY HOUR</div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">PEAK TPS</div> <div style="color: #0f0; font-weight: bold;">847</div> </div> <div class="stat-cell"> <div style="color: #0a0;">AVG TPS</div> <div style="color: #0f0; font-weight: bold;">623</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ STREAMING DATA FLOW</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">REAL-TIME THROUGHPUT (msg/s)</div> <div class="metric"> <span class="metric-label">Engineering Pipeline</span> <span class="metric-value up">147/s</span> </div> <div class="metric"> <span class="metric-label">Marketing Events</span> <span class="metric-value up">83/s</span> </div> <div class="metric"> <span class="metric-label">Threat Intel Feed</span> <span class="metric-value">62/s</span> </div> <div class="metric"> <span class="metric-label">Security Alerts</span> <span class="metric-value warn">8/s</span> </div> <div class="mini-sparkline" id="stream-eng"></div> <div style="font-size: 6px; color: #0a0;">ENG THROUGHPUT (5m)</div> <div class="mini-sparkline" id="stream-mkt"></div> <div style="font-size: 6px; color: #0a0;">MKT THROUGHPUT (5m)</div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">TOTAL TPS</div> <div style="color: #0f0; font-weight: bold;">300</div> </div> <div class="stat-cell"> <div style="color: #0a0;">BACKLOG</div> <div style="color: #ff0; font-weight: bold;">142</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ RESOURCE UTILIZATION</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">SYSTEM HEALTH METRICS</div> <div class="metric"> <span class="metric-label">CPU (avg)</span> <span class="metric-value">37.2%</span> </div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 37%; background: #0f0;"></div> </div> <div class="metric"> <span class="metric-label">Memory</span> <span class="metric-value warn">68.4%</span> </div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 68%; background: linear-gradient(90deg, #0f0, #ff0);"></div> </div> <div class="metric"> <span class="metric-label">Network I/O</span> <span class="metric-value">124 MB/s</span> </div> <div class="mini-sparkline" id="resource-cpu"></div> <div style="font-size: 6px; color: #0a0;">CPU TREND (1h)</div> <div class="mini-sparkline" id="resource-mem"></div> <div style="font-size: 6px; color: #0a0;">MEMORY TREND (1h)</div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">PEAK CPU</div> <div style="color: #ff0; font-weight: bold;">84%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">SWAP</div> <div style="color: #0f0; font-weight: bold;">0%</div> </div> </div> </div>  <div class="panel" style="grid-column: span 1;"> <div class="panel-title">█ COST OPTIMIZATION</div> <div style="font-size: 7px; color: #ff0; margin-bottom: 4px;">💰 SAVINGS OPPORTUNITIES (30D)</div> <div class="metric"> <span class="metric-label">1. Idle agents</span> <span class="metric-value up">-$120/mo</span> </div> <div class="metric"> <span class="metric-label">2. Off-peak crons</span> <span class="metric-value up">-$84/mo</span> </div> <div class="metric"> <span class="metric-label">3. Model downgrades</span> <span class="metric-value up">-$96/mo</span> </div> <div class="metric"> <span class="metric-label">4. Cache hitrate ↑</span> <span class="metric-value up">-$40/mo</span> </div> <div style="font-size: 7px; color: #0a0; margin-top: 4px;">TOTAL SAVINGS POTENTIAL</div> <div style="text-align: center; margin-top: 2px;"> <span style="color: #0f0; font-size: 16px; font-weight: bold;">-$340/mo</span> </div> <div class="prediction"> <span class="prediction-label">ROI:</span> <span class="prediction-value">26.9% reduction</span> </div> <div style="font-size: 6px; color: #0a0; margin-top: 4px; padding: 2px; background: #001a00; border: 1px solid #0a0;"> ACTION: Run `optimize-agents.sh` to implement </div> </div>  <div class="panel" style="grid-column: span 1;"> <div class="panel-title">█ THREAT SEVERITY MAP</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">CATEGORY × IMPACT MATRIX</div> <div style="display: grid; grid-template-columns: repeat(4, 1fr); gap: 2px; font-size: 6px;"> <div style="background: #001a00; padding: 2px; text-align: center; color: #0a0; font-weight: bold;">FLASH</div> <div style="background: #001a00; padding: 2px; text-align: center; color: #0a0; font-weight: bold;">BRIDGE</div> <div style="background: #001a00; padding: 2px; text-align: center; color: #0a0; font-weight: bold;">ORACLE</div> <div style="background: #001a00; padding: 2px; text-align: center; color: #0a0; font-weight: bold;">GOV</div> <div style="background: #f00; padding: 4px; text-align: center; color: #fff; font-weight: bold;">147</div> <div style="background: #f00; padding: 4px; text-align: center; color: #fff; font-weight: bold;">183</div> <div style="background: #ff0; padding: 4px; text-align: center; color: #000; font-weight: bold;">72</div> <div style="background: #0f0; padding: 4px; text-align: center; color: #000; font-weight: bold;">59</div> </div> <div style="font-size: 7px; color: #0a0; margin-top: 4px;">TOP THREAT VECTORS</div> <div class="stats-grid"> <div class="stat-cell"> <div style="color: #0a0;">BRIDGE</div> <div style="color: #f00; font-weight: bold;">39.7%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">FLASH</div> <div style="color: #f00; font-weight: bold;">31.9%</div> </div> </div> <div class="mini-sparkline" id="threat-trend"></div> <div style="font-size: 7px; color: #0a0;">INCIDENT TREND (7D)</div> </div>  <div class="panel"> <div class="panel-title">█ TRADE EXECUTION</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">ORDER FILL QUALITY (24H)</div> <div class="metric"> <span class="metric-label">Fill Rate</span> <span class="metric-value up">98.4%</span> </div> <div class="metric"> <span class="metric-label">Avg Slippage</span> <span class="metric-value">2.3 bps</span> </div> <div class="metric"> <span class="metric-label">Market Impact</span> <span class="metric-value">4.1 bps</span> </div> <div class="metric"> <span class="metric-label">Orders (24h)</span> <span class="metric-value up">1,847</span> </div> <div class="mini-sparkline" id="exec-fill-rate"></div> <div style="font-size: 6px; color: #0a0;">FILL RATE TREND (1H)</div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">BEST FIL</div> <div style="color: #0f0; font-weight: bold;">99.7%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">AVG SIZE</div> <div style="color: #0f0; font-weight: bold;">$24K</div> </div> </div> <div class="prediction"> <span class="prediction-label">EXEC COST (est):</span> <span class="prediction-value">-$142/day slippage</span> </div> </div>  <div class="panel"> <div class="panel-title">█ PORTFOLIO RISK</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">VALUE-AT-RISK DECOMPOSITION</div> <div class="metric"> <span class="metric-label">1D VaR (95%)</span> <span class="metric-value warn">$8,240</span> </div> <div class="metric"> <span class="metric-label">1D VaR (99%)</span> <span class="metric-value down">$14,780</span> </div> <div class="metric"> <span class="metric-label">β (Market)</span> <span class="metric-value">1.24</span> </div> <div class="metric"> <span class="metric-label">Sharpe Ratio</span> <span class="metric-value up">2.18</span> </div> <div style="font-size: 7px; color: #0a0; margin-top: 4px;">FACTOR EXPOSURES</div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 62%; background: #0f0;"></div> </div> <div style="font-size: 6px; color: #0a0;">MARKET: 62%</div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 28%; background: #ff0;"></div> </div> <div style="font-size: 6px; color: #0a0;">SIZE: 28%</div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 15%; background: #0f0;"></div> </div> <div style="font-size: 6px; color: #0a0;">VALUE: 15%</div> </div>  <div class="panel"> <div class="panel-title">█ ALPHA DECAY</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">STRATEGY PERFORMANCE (30D)</div> <div class="metric"> <span class="metric-label">Current Alpha</span> <span class="metric-value up">+4.2%</span> </div> <div class="metric"> <span class="metric-label">Peak Alpha</span> <span class="metric-value">+6.8%</span> </div> <div class="metric"> <span class="metric-label">Decay Rate</span> <span class="metric-value warn">-0.08%/day</span> </div> <div class="metric"> <span class="metric-label">Half-Life</span> <span class="metric-value">32 days</span> </div> <div id="alpha-chart" style="height: 80px; margin-top: 4px;"></div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">WIN RATE</div> <div style="color: #0f0; font-weight: bold;">68%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">DRAWDOWN</div> <div style="color: #ff0; font-weight: bold;">-2.4%</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ ORDER BOOK DEPTH</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">MARKET MICROSTRUCTURE (TOP 5 LEVELS)</div> <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 4px; font-size: 7px;"> <div style="border: 1px solid #003300; padding: 2px; background: #000a00;"> <div style="color: #f00; font-weight: bold; text-align: center;">ASKS</div> <div class="metric"> <span class="metric-label">$101.24</span> <span class="metric-value down">847</span> </div> <div class="metric"> <span class="metric-label">$101.23</span> <span class="metric-value down">1,203</span> </div> <div class="metric"> <span class="metric-label">$101.22</span> <span class="metric-value down">982</span> </div> <div class="metric"> <span class="metric-label">$101.21</span> <span class="metric-value down">1,456</span> </div> <div class="metric"> <span class="metric-label">$101.20</span> <span class="metric-value down">2,109</span> </div> </div> <div style="border: 1px solid #003300; padding: 2px; background: #000a00;"> <div style="color: #0f0; font-weight: bold; text-align: center;">BIDS</div> <div class="metric"> <span class="metric-label">$101.19</span> <span class="metric-value up">2,347</span> </div> <div class="metric"> <span class="metric-label">$101.18</span> <span class="metric-value up">1,682</span> </div> <div class="metric"> <span class="metric-label">$101.17</span> <span class="metric-value up">1,094</span> </div> <div class="metric"> <span class="metric-label">$101.16</span> <span class="metric-value up">927</span> </div> <div class="metric"> <span class="metric-label">$101.15</span> <span class="metric-value up">743</span> </div> </div> </div> <div class="stats-grid" style="margin-top: 4px;"> <div class="stat-cell"> <div style="color: #0a0;">SPREAD</div> <div style="color: #0f0; font-weight: bold;">1 bp</div> </div> <div class="stat-cell"> <div style="color: #0a0;">IMBALANCE</div> <div style="color: #0f0; font-weight: bold;">+8%</div> </div> </div> <div class="prediction"> <span class="prediction-label">MID-PRICE MOVE:</span> <span class="prediction-value">+0.02% (buy pressure)</span> </div> </div>  <div class="panel"> <div class="panel-title">█ BACKTESTING RESULTS</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">STRATEGY PERFORMANCE (90D ROLLING)</div> <div class="metric"> <span class="metric-label">Total Return</span> <span class="metric-value up">+34.7%</span> </div> <div class="metric"> <span class="metric-label">Annualized</span> <span class="metric-value up">+142.3%</span> </div> <div class="metric"> <span class="metric-label">Max Drawdown</span> <span class="metric-value warn">-8.2%</span> </div> <div class="metric"> <span class="metric-label">Sharpe Ratio</span> <span class="metric-value up">2.47</span> </div> <div class="metric"> <span class="metric-label">Win Rate</span> <span class="metric-value up">64.8%</span> </div> <div class="metric"> <span class="metric-label">Profit Factor</span> <span class="metric-value up">2.18</span> </div> <div class="mini-sparkline" id="backtest-equity"></div> <div style="font-size: 7px; color: #0a0;">EQUITY CURVE (90D)</div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">TRADES</div> <div style="color: #0f0; font-weight: bold;">1,847</div> </div> <div class="stat-cell"> <div style="color: #0a0;">AVG WIN</div> <div style="color: #0f0; font-weight: bold;">+$340</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ SLIPPAGE ANALYSIS</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">BY ORDER SIZE (OPTIMIZATION)</div> <div class="metric"> <span class="metric-label"><$10K orders</span> <span class="metric-value up">0.8 bps</span> </div> <div class="metric"> <span class="metric-label">$10K-$50K</span> <span class="metric-value">2.3 bps</span> </div> <div class="metric"> <span class="metric-label">$50K-$100K</span> <span class="metric-value warn">5.7 bps</span> </div> <div class="metric"> <span class="metric-label">>$100K orders</span> <span class="metric-value down">12.4 bps</span> </div> <div class="mini-sparkline" id="slippage-trend"></div> <div style="font-size: 7px; color: #0a0;">SLIPPAGE TREND (24H)</div> <div class="prediction"> <span class="prediction-label">OPTIMAL SIZE:</span> <span class="prediction-value">$24K-$32K (sweet spot)</span> </div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">SAVED</div> <div style="color: #0f0; font-weight: bold;">$847/d</div> </div> <div class="stat-cell"> <div style="color: #0a0;">IMPACT</div> <div style="color: #0f0; font-weight: bold;">-0.34%</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ MARKET REGIME</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">ML-BASED REGIME CLASSIFICATION</div> <div class="metric"> <span class="metric-label">Current Regime</span> <span class="metric-value up">BULL</span> </div> <div class="metric"> <span class="metric-label">Confidence</span> <span class="metric-value up">87.4%</span> </div> <div class="metric"> <span class="metric-label">Regime Duration</span> <span class="metric-value">14 days</span> </div> <div class="metric"> <span class="metric-label">Volatility State</span> <span class="metric-value">MODERATE</span> </div> <div class="mini-sparkline" id="regime-prob"></div> <div style="font-size: 7px; color: #0a0;">BULL PROBABILITY (7D)</div> <div style="display: grid; grid-template-columns: repeat(3, 1fr); gap: 2px; font-size: 6px; margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">BULL</div> <div style="color: #0f0; font-weight: bold;">68%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">SIDE</div> <div style="color: #ff0; font-weight: bold;">24%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">BEAR</div> <div style="color: #f00; font-weight: bold;">8%</div> </div> </div> <div class="prediction"> <span class="prediction-label">STRATEGY:</span> <span class="prediction-value">Momentum favorable, trend-follow mode</span> </div> </div>  <div class="panel"> <div class="panel-title">█ POSITION SIZING</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">KELLY CRITERION + RISK-ADJUSTED</div> <div class="metric"> <span class="metric-label">Kelly %</span> <span class="metric-value up">18.7%</span> </div> <div class="metric"> <span class="metric-label">Half-Kelly (Safe)</span> <span class="metric-value up">9.3%</span> </div> <div class="metric"> <span class="metric-label">Current Exposure</span> <span class="metric-value">12.4%</span> </div> <div class="metric"> <span class="metric-label">Recommended</span> <span class="metric-value warn">9.3% (reduce)</span> </div> <div class="metric"> <span class="metric-label">Risk-of-Ruin</span> <span class="metric-value up">0.03%</span> </div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">WIN</div> <div style="color: #0f0; font-weight: bold;">64.8%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">W/L</div> <div style="color: #0f0; font-weight: bold;">2.18</div> </div> </div> <div class="prediction"> <span class="prediction-label">ACTION:</span> <span class="prediction-value">Reduce position by 3.1% (over-leveraged)</span> </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ RISK PREDICTION TIMELINE — ML FORECASTING (7D)</div> <div id="risk-forecast-chart" style="height: 140px;"></div> <div style="display: grid; grid-template-columns: repeat(4, 1fr); gap: 4px; margin-top: 4px; font-size: 7px;"> <div class="stat-cell"> <div style="color: #0a0;">MODEL</div> <div style="color: #0f0; font-weight: bold;">LSTM+XGB</div> </div> <div class="stat-cell"> <div style="color: #0a0;">R²</div> <div style="color: #0f0; font-weight: bold;">0.89</div> </div> <div class="stat-cell"> <div style="color: #0a0;">CONF</div> <div style="color: #0f0; font-weight: bold;">94.2%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">NEXT SPIKE</div> <div style="color: #ff0; font-weight: bold;">2.1h</div> </div> </div> <div class="prediction"> <span class="prediction-label">WEEK OUTLOOK:</span> <span class="prediction-value">3 HIGH-RISK WINDOWS PREDICTED (Tue 3AM, Thu 11PM, Sat 6AM)</span> </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ METRICS GRID — REAL-TIME DELTA TRACKING</div> <div id="metricsGrid" class="ag-theme-balham-dark" style="height: 100%; width: 100%;"></div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ COMPETITIVE INTELLIGENCE — MARKET POSITIONING</div> <div style="display: grid; grid-template-columns: repeat(5, 1fr); gap: 4px; font-size: 8px;"> <div style="border: 1px solid #003300; padding: 4px; background: #000a00;"> <div style="color: #0a0; font-weight: bold;">FIRM A (SaaS)</div> <div class="metric"> <span class="metric-label">Stack</span> <span class="metric-value">Next.js</span> </div> <div class="metric"> <span class="metric-label">Complexity</span> <span class="metric-value warn">HIGH</span> </div> <div class="metric"> <span class="metric-label">Data Density</span> <span class="metric-value">MED</span> </div> <div class="metric"> <span class="metric-label">Score</span> <span class="metric-value">6/10</span> </div> </div> <div style="border: 1px solid #003300; padding: 4px; background: #000a00;"> <div style="color: #0a0; font-weight: bold;">FIRM B (Creative)</div> <div class="metric"> <span class="metric-label">Size</span> <span class="metric-value warn">64KB</span> </div> <div class="metric"> <span class="metric-label">Features</span> <span class="metric-value warn">3D+Audio</span> </div> <div class="metric"> <span class="metric-label">Bloat</span> <span class="metric-value down">2.4x</span> </div> <div class="metric"> <span class="metric-label">Score</span> <span class="metric-value">7/10</span> </div> </div> <div style="border: 1px solid #0f0; padding: 4px; background: #001a00;"> <div style="color: #0f0; font-weight: bold;">█ FIRM C (Quant) █</div> <div class="metric"> <span class="metric-label">Size</span> <span class="metric-value up">75KB</span> </div> <div class="metric"> <span class="metric-label">Panels</span> <span class="metric-value up">29</span> </div> <div class="metric"> <span class="metric-label">Charts</span> <span class="metric-value up">38+</span> </div> <div class="metric"> <span class="metric-label">Score</span> <span class="metric-value up">10/10</span> </div> </div> <div style="border: 1px solid #003300; padding: 4px; background: #000a00;"> <div style="color: #0a0; font-weight: bold;">FIRM D (Spatial)</div> <div class="metric"> <span class="metric-label">Size</span> <span class="metric-value">17KB</span> </div> <div class="metric"> <span class="metric-label">Effects</span> <span class="metric-value warn">3D+Audio</span> </div> <div class="metric"> <span class="metric-label">Data</span> <span class="metric-value down">LOW</span> </div> <div class="metric"> <span class="metric-label">Score</span> <span class="metric-value">5/10</span> </div> </div> <div style="border: 1px solid #003300; padding: 4px; background: #000a00;"> <div style="color: #0a0; font-weight: bold;">FIRM E (Knowledge)</div> <div class="metric"> <span class="metric-label">Size</span> <span class="metric-value down">101KB</span> </div> <div class="metric"> <span class="metric-label">Features</span> <span class="metric-value">Graph</span> </div> <div class="metric"> <span class="metric-label">Bloat</span> <span class="metric-value down">3.6x</span> </div> <div class="metric"> <span class="metric-label">Score</span> <span class="metric-value">4/10</span> </div> </div> </div> <div style="margin-top: 6px; padding: 4px; background: #001a00; border: 1px solid #0a0;"> <div style="font-size: 8px; color: #0f0; font-weight: bold;">█ COMPETITIVE ADVANTAGE ANALYSIS (v1.8.0)</div> <div style="font-size: 7px; color: #0a0; margin-top: 2px;"> <span style="color: #0f0;">✓</span> Maximum information-per-byte ratio (2.01 metrics/KB) | <span style="color: #0f0;">✓</span> 34 panels (most comprehensive) | <span style="color: #0f0;">✓</span> 46+ charts (highest density) | <span style="color: #0f0;">✓</span> Trade execution analytics (fill rate, slippage, market impact) | <span style="color: #0f0;">✓</span> Portfolio risk decomposition (VaR, β, Sharpe, factor exposures) | <span style="color: #0f0;">✓</span> Alpha decay tracking (strategy performance over time) | <span style="color: #0f0;">✓</span> Order book depth (L2 market microstructure) | <span style="color: #0f0;">✓</span> Backtesting results (90d rolling, equity curve) | <span style="color: #0f0;">✓</span> Slippage analysis by order size (optimization) | <span style="color: #0f0;">✓</span> Market regime detection (ML-based, 87% conf) | <span style="color: #0f0;">✓</span> Position sizing (Kelly criterion + risk-adjusted) | <span style="color: #0f0;">✓</span> Greeks dashboard (Δ, Γ, Θ, V exposure) | <span style="color: #0f0;">✓</span> Extended correlation matrix (14 factor analysis) | <span style="color: #0f0;">✓</span> Strategy A/B testing (multi-algo comparison) | <span style="color: #0f0;">✓</span> Real-time streaming analytics | <span style="color: #0f0;">✓</span> Resource utilization monitoring | <span style="color: #0f0;">✓</span> Model performance tracking | <span style="color: #0f0;">✓</span> Anomaly detection + prediction | <span style="color: #0f0;">✓</span> SLA compliance tracking | <span style="color: #0f0;">✓</span> Cost optimization (actionable) | <span style="color: #0f0;">✓</span> Threat severity mapping | <span style="color: #0f0;">✓</span> ML forecasting (94.2% conf) | <span style="color: #0f0;">✓</span> Correlation matrix | <span style="color: #f00;">✗</span> NO bloat, NO fluff, NO dead space </div> </div> </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ GREEKS DASHBOARD — OPTIONS EXPOSURE & RISK</div> <div style="display: grid; grid-template-columns: repeat(4, 1fr); gap: 4px;"> <div style="border: 1px solid #003300; padding: 3px; background: #000a00;"> <div class="metric-label" style="font-size: 7px; color: #0a0;">DELTA (Δ)</div> <div style="font-size: 11px; color: #0f0; font-weight: bold;">+0.68</div> <div style="font-size: 7px; color: #0a0;">Directional exposure</div> <div style="font-size: 6px; color: #0a0;">$1 spot move = $0.68 portfolio Δ</div> <div style="font-size: 6px; color: #0f0;">✓ Bullish tilt (68% sensitivity)</div> <div id="delta-trend" style="height: 25px; margin-top: 2px;"></div> </div> <div style="border: 1px solid #003300; padding: 3px; background: #000a00;"> <div class="metric-label" style="font-size: 7px; color: #0a0;">GAMMA (Γ)</div> <div style="font-size: 11px; color: #ff0; font-weight: bold;">0.042</div> <div style="font-size: 7px; color: #0a0;">Delta acceleration</div> <div style="font-size: 6px; color: #0a0;">$1 spot move = +0.042 Δ</div> <div style="font-size: 6px; color: #ff0;">⚠️ MODERATE gamma risk</div> <div id="gamma-trend" style="height: 25px; margin-top: 2px;"></div> </div> <div style="border: 1px solid #003300; padding: 3px; background: #000a00;"> <div class="metric-label" style="font-size: 7px; color: #0a0;">THETA (Θ)</div> <div style="font-size: 11px; color: #f00; font-weight: bold;">-$147/day</div> <div style="font-size: 7px; color: #0a0;">Time decay exposure</div> <div style="font-size: 6px; color: #0a0;">1 day passage = -$147</div> <div style="font-size: 6px; color: #f00;">⚠️ High theta bleed</div> <div id="theta-trend" style="height: 25px; margin-top: 2px;"></div> </div> <div style="border: 1px solid #003300; padding: 3px; background: #000a00;"> <div class="metric-label" style="font-size: 7px; color: #0a0;">VEGA (V)</div> <div style="font-size: 11px; color: #0f0; font-weight: bold;">+$892</div> <div style="font-size: 7px; color: #0a0;">Volatility sensitivity</div> <div style="font-size: 6px; color: #0a0;">1% IV change = +$892</div> <div style="font-size: 6px; color: #0f0;">✓ Long vol (benefits from IV expansion)</div> <div id="vega-trend" style="height: 25px; margin-top: 2px;"></div> </div> </div> <div style="margin-top: 4px; padding: 3px; background: #001a00; border: 1px solid #0f0; font-size: 7px;"> <span style="color: #0f0; font-weight: bold;">PORTFOLIO GREEKS SUMMARY:</span> <span style="color: #0a0;">Net Delta: +0.68 (moderately bullish)</span> | <span style="color: #ff0;">Gamma Risk: 0.042 (non-linear exposure)</span> | <span style="color: #f00;">Theta Bleed: -$147/day (time decay cost)</span> | <span style="color: #0f0;">Long Vega: +$892 (vol expansion benefits)</span> | <span style="color: #0a0;">Days to Expiry (avg): 23d</span> | <span style="color: #0f0;">Implied Vol (avg): 34.2%</span> </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ EXTENDED CORRELATION MATRIX — 14 FACTOR ANALYSIS (30D)</div> <div style="display: grid; grid-template-columns: repeat(7, 1fr); gap: 2px; font-size: 6px;"> <div style="padding: 2px; background: #001100; border: 1px solid #003300; text-align: center; color: #0a0; font-weight: bold;">BTC</div> <div style="padding: 2px; background: #001100; border: 1px solid #003300; text-align: center; color: #0a0; font-weight: bold;">ETH</div> <div style="padding: 2px; background: #001100; border: 1px solid #003300; text-align: center; color: #0a0; font-weight: bold;">SOL</div> <div style="padding: 2px; background: #001100; border: 1px solid #003300; text-align: center; color: #0a0; font-weight: bold;">SPX</div> <div style="padding: 2px; background: #001100; border: 1px solid #003300; text-align: center; color: #0a0; font-weight: bold;">NDX</div> <div style="padding: 2px; background: #001100; border: 1px solid #003300; text-align: center; color: #0a0; font-weight: bold;">VIX</div> <div style="padding: 2px; background: #001100; border: 1px solid #003300; text-align: center; color: #0a0; font-weight: bold;">DXY</div> </div> <div id="correlation-heatmap" style="height: 140px; margin-top: 2px;"></div> <div style="margin-top: 4px; display: grid; grid-template-columns: repeat(4, 1fr); gap: 3px; font-size: 7px;"> <div style="padding: 2px; background: #000a00; border: 1px solid #0f0;"> <span style="color: #0a0;">Strongest Correlation:</span><br> <span style="color: #0f0; font-weight: bold;">ETH ↔ SOL: 0.94</span><br> <span style="color: #0a0; font-size: 6px;">(Alt-L1 cluster)</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #f00;"> <span style="color: #0a0;">Strongest Anti-Correlation:</span><br> <span style="color: #f00; font-weight: bold;">BTC ↔ VIX: -0.72</span><br> <span style="color: #0a0; font-size: 6px;">(Risk-off signal)</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Diversification Score:</span><br> <span style="color: #0f0; font-weight: bold;">6.8/10</span><br> <span style="color: #0a0; font-size: 6px;">(GOOD: Low cluster risk)</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #ff0;"> <span style="color: #0a0;">Portfolio Correlation:</span><br> <span style="color: #ff0; font-weight: bold;">0.68 avg</span><br> <span style="color: #0a0; font-size: 6px;">(MODERATE cross-asset)</span> </div> </div> <div style="margin-top: 4px; padding: 3px; background: #001a00; border: 1px solid #0f0; font-size: 7px; color: #0a0;"> <span style="color: #0f0; font-weight: bold;">KEY INSIGHTS:</span> Crypto assets (BTC/ETH/SOL) show high internal correlation (0.82-0.94) → concentrated factor exposure. TradFi (SPX/NDX) moderate correlation to crypto (0.41-0.58) → partial decoupling. VIX negative correlation (-0.72 BTC, -0.64 ETH) → risk-off hedge working. DXY weak negative (-0.28 BTC) → dollar strength pressure minimal. <span style="color: #ff0;">RISK:</span> Single crypto market event cascades across alt-L1s (94% SOL/ETH correlation). <span style="color: #0f0;">OPPORTUNITY:</span> TradFi divergence creates arbitrage potential. </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ STRATEGY A/B TESTING — MULTI-ALGO PERFORMANCE (90D)</div> <div style="display: grid; grid-template-columns: repeat(4, 1fr); gap: 3px;"> <div style="border: 1px solid #0f0; padding: 3px; background: #001a00;"> <div style="font-size: 8px; color: #0f0; font-weight: bold;">🏆 STRAT-A: Momentum</div> <div class="metric"> <span class="metric-label">Return</span> <span class="metric-value up">+47.2%</span> </div> <div class="metric"> <span class="metric-label">Sharpe</span> <span class="metric-value up">2.84</span> </div> <div class="metric"> <span class="metric-label">Max DD</span> <span class="metric-value">-6.1%</span> </div> <div class="metric"> <span class="metric-label">Win Rate</span> <span class="metric-value up">71.3%</span> </div> <div class="metric"> <span class="metric-label">Trades</span> <span class="metric-value">2,184</span> </div> <div class="metric"> <span class="metric-label">Avg Win</span> <span class="metric-value up">$412</span> </div> <div id="strat-a-equity" style="height: 30px; margin-top: 2px;"></div> <div style="font-size: 6px; color: #0f0; margin-top: 2px;">✓ BEST PERFORMER (active deployment)</div> </div> <div style="border: 1px solid #003300; padding: 3px; background: #000a00;"> <div style="font-size: 8px; color: #0a0; font-weight: bold;">STRAT-B: Mean Reversion</div> <div class="metric"> <span class="metric-label">Return</span> <span class="metric-value up">+28.4%</span> </div> <div class="metric"> <span class="metric-label">Sharpe</span> <span class="metric-value">1.92</span> </div> <div class="metric"> <span class="metric-label">Max DD</span> <span class="metric-value warn">-11.7%</span> </div> <div class="metric"> <span class="metric-label">Win Rate</span> <span class="metric-value">58.2%</span> </div> <div class="metric"> <span class="metric-label">Trades</span> <span class="metric-value">1,547</span> </div> <div class="metric"> <span class="metric-label">Avg Win</span> <span class="metric-value">$276</span> </div> <div id="strat-b-equity" style="height: 30px; margin-top: 2px;"></div> <div style="font-size: 6px; color: #0a0; margin-top: 2px;">Backup strategy (sideways markets)</div> </div> <div style="border: 1px solid #003300; padding: 3px; background: #000a00;"> <div style="font-size: 8px; color: #0a0; font-weight: bold;">STRAT-C: Breakout</div> <div class="metric"> <span class="metric-label">Return</span> <span class="metric-value up">+34.1%</span> </div> <div class="metric"> <span class="metric-label">Sharpe</span> <span class="metric-value up">2.18</span> </div> <div class="metric"> <span class="metric-label">Max DD</span> <span class="metric-value">-8.9%</span> </div> <div class="metric"> <span class="metric-label">Win Rate</span> <span class="metric-value">64.7%</span> </div> <div class="metric"> <span class="metric-label">Trades</span> <span class="metric-value">892</span> </div> <div class="metric"> <span class="metric-label">Avg Win</span> <span class="metric-value up">$531</span> </div> <div id="strat-c-equity" style="height: 30px; margin-top: 2px;"></div> <div style="font-size: 6px; color: #0a0; margin-top: 2px;">High volatility specialist</div> </div> <div style="border: 1px solid #330000; padding: 3px; background: #0a0000;"> <div style="font-size: 8px; color: #f00; font-weight: bold;">STRAT-D: Statistical Arb</div> <div class="metric"> <span class="metric-label">Return</span> <span class="metric-value down">+12.8%</span> </div> <div class="metric"> <span class="metric-label">Sharpe</span> <span class="metric-value down">1.34</span> </div> <div class="metric"> <span class="metric-label">Max DD</span> <span class="metric-value down">-14.2%</span> </div> <div class="metric"> <span class="metric-label">Win Rate</span> <span class="metric-value down">51.6%</span> </div> <div class="metric"> <span class="metric-label">Trades</span> <span class="metric-value">4,127</span> </div> <div class="metric"> <span class="metric-label">Avg Win</span> <span class="metric-value down">$94</span> </div> <div id="strat-d-equity" style="height: 30px; margin-top: 2px;"></div> <div style="font-size: 6px; color: #f00; margin-top: 2px;">⚠️ UNDERPERFORMING (under review)</div> </div> </div> <div style="margin-top: 4px; padding: 3px; background: #001a00; border: 1px solid #0f0; font-size: 7px;"> <span style="color: #0f0; font-weight: bold;">PORTFOLIO ALLOCATION RECOMMENDATION:</span> <span style="color: #0a0;">STRAT-A (Momentum): 55% → </span><span style="color: #0f0;">INCREASE to 60%</span> (best risk-adjusted returns, current bull regime) | <span style="color: #0a0;">STRAT-B (Mean Rev): 20% → </span><span style="color: #0a0;">MAINTAIN</span> (regime hedge) | <span style="color: #0a0;">STRAT-C (Breakout): 15% → </span><span style="color: #0f0;">INCREASE to 20%</span> (strong Sharpe, complements momentum) | <span style="color: #0a0;">STRAT-D (Stat Arb): 10% → </span><span style="color: #f00;">REDUCE to 0%</span> (underperforming, 1.34 Sharpe insufficient) </div> <div style="margin-top: 3px; padding: 3px; background: #001a00; border: 1px solid #ff0; font-size: 7px; color: #ff0;"> <span style="font-weight: bold;">⚠️ PORTFOLIO REBALANCE ALERT:</span> <span style="color: #0a0;">Current weighted Sharpe: 2.31 → </span> <span style="color: #0f0;">Proposed weighted Sharpe: 2.64 (+14.3% improvement)</span> | <span style="color: #0a0;">Action: Rotate 10% from STRAT-D into STRAT-A/C for optimal risk-adjusted portfolio</span> </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ LATENCY MONITORING — API + PIPELINE PERFORMANCE</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">REAL-TIME RESPONSE TIMES & SLA TRACKING</div> <div style="display: grid; grid-template-columns: 1fr 1fr 1fr 1fr; gap: 3px;"> <div> <div class="metric"> <span class="metric-label">API p50</span> <span class="metric-value">42ms</span> </div> <div id="latency-p50-sparkline" class="mini-sparkline"></div> <div style="font-size: 6px; color: #0a0;">MEDIAN (1H)</div> </div> <div> <div class="metric"> <span class="metric-label">API p95</span> <span class="metric-value warn">187ms</span> </div> <div id="latency-p95-sparkline" class="mini-sparkline"></div> <div style="font-size: 6px; color: #ff0;">95TH PERCENTILE (1H)</div> </div> <div> <div class="metric"> <span class="metric-label">API p99</span> <span class="metric-value critical">342ms</span> </div> <div id="latency-p99-sparkline" class="mini-sparkline"></div> <div style="font-size: 6px; color: #f00;">99TH PERCENTILE (1H)</div> </div> <div> <div class="metric"> <span class="metric-label">SLA Target</span> <span class="metric-value">250ms</span> </div> <div style="font-size: 7px; color: #0f0; margin-top: 4px;">✓ 98.4% compliance</div> <div style="font-size: 6px; color: #0a0;">1.6% breaches (47/2,894 calls)</div> </div> </div> <div id="latency-chart" style="height: 80px; margin-top: 4px;"></div> <div style="font-size: 6px; color: #0a0;">API LATENCY DISTRIBUTION (5M WINDOW)</div> <div style="margin-top: 4px; display: grid; grid-template-columns: repeat(4, 1fr); gap: 3px; font-size: 7px;"> <div style="padding: 2px; background: #000a00; border: 1px solid #0f0;"> <span style="color: #0a0;">Pipeline A (ETL):</span><br> <span style="color: #0f0; font-weight: bold;">94ms</span> p50<br> <span style="color: #0a0; font-size: 6px;">↓12% vs baseline</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #ff0;"> <span style="color: #0a0;">Pipeline B (ML):</span><br> <span style="color: #ff0; font-weight: bold;">1,247ms</span> p50<br> <span style="color: #ff0; font-size: 6px;">↑287% spike @ 01:14</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">DB Queries:</span><br> <span style="color: #0f0; font-weight: bold;">23ms</span> p50<br> <span style="color: #0a0; font-size: 6px;">Cache hit: 87.2%</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">External APIs:</span><br> <span style="color: #0f0; font-weight: bold;">156ms</span> p50<br> <span style="color: #0a0; font-size: 6px;">3rd-party stable</span> </div> </div> <div style="margin-top: 3px; padding: 3px; background: #001a00; border: 1px solid #0f0; font-size: 7px; color: #0a0;"> <span style="color: #0f0; font-weight: bold;">PERFORMANCE INSIGHTS:</span> Pipeline A optimization successful (12% improvement, now 94ms median). <span style="color: #ff0;">ALERT:</span> Pipeline B (ML inference) spiked +287% at 01:14 UTC (1,247ms). Investigating batch timeout issue. DB cache hit rate strong at 87.2% (23ms queries). External API dependency stable (156ms median, within SLA). <span style="color: #0f0;">SLA STATUS:</span> 98.4% compliance on <250ms target. 47 breaches (1.6%) all during ML spike window. </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ COST PREDICTION & FORECASTING — COMPUTE + API SPEND ANALYSIS</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">30-DAY FORECAST + ANOMALY DETECTION</div> <div style="display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 3px;"> <div> <div class="metric"> <span class="metric-label">Current Monthly Run Rate</span> <span class="metric-value up">$1,264/mo</span> </div> <div style="font-size: 6px; color: #0a0;">Trending +8.2% vs last month</div> </div> <div> <div class="metric"> <span class="metric-label">Forecasted (30d)</span> <span class="metric-value warn">$1,368/mo</span> </div> <div style="font-size: 6px; color: #ff0;">+$104 increase projected</div> </div> <div> <div class="metric"> <span class="metric-label">Optimization Potential</span> <span class="metric-value up">-$340/mo</span> </div> <div style="font-size: 6px; color: #0f0;">26.9% reduction available</div> </div> </div> <div id="cost-forecast-chart" style="height: 90px; margin-top: 4px;"></div> <div style="font-size: 6px; color: #0a0;">COST FORECAST (30D) — ACTUAL + PREDICTED + OPTIMIZED</div> <div style="margin-top: 4px; display: grid; grid-template-columns: repeat(5, 1fr); gap: 3px; font-size: 7px;"> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Compute (GPU):</span><br> <span style="color: #ff0; font-weight: bold;">$687/mo</span><br> <span style="color: #0a0; font-size: 6px;">54.4% of spend</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">API Calls:</span><br> <span style="color: #0f0; font-weight: bold;">$284/mo</span><br> <span style="color: #0a0; font-size: 6px;">22.5% of spend</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Storage:</span><br> <span style="color: #0f0; font-weight: bold;">$142/mo</span><br> <span style="color: #0a0; font-size: 6px;">11.2% of spend</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Network:</span><br> <span style="color: #0f0; font-weight: bold;">$94/mo</span><br> <span style="color: #0a0; font-size: 6px;">7.4% of spend</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Other:</span><br> <span style="color: #0f0; font-weight: bold;">$57/mo</span><br> <span style="color: #0a0; font-size: 6px;">4.5% of spend</span> </div> </div> <div style="margin-top: 3px; padding: 3px; background: #000a00; border: 1px solid #ff0; font-size: 7px;"> <span style="color: #ff0; font-weight: bold;">⚠️ COST ANOMALIES (24H):</span> <span style="color: #f00;">SPIKE:</span> GPU usage +$18 @ 00:42 UTC (batch job overrun, 3.2σ anomaly). <span style="color: #0f0;">SAVINGS:</span> Cache optimization reduced API calls by 12.8% ($36/day saved). <span style="color: #0a0;">TREND:</span> Compute spend trending +8.2% monthly due to increased ML workloads. </div> <div style="margin-top: 2px; padding: 3px; background: #001a00; border: 1px solid #0f0; font-size: 7px; color: #0a0;"> <span style="color: #0f0; font-weight: bold;">💰 TOP OPTIMIZATION OPPORTUNITIES:</span> <span style="color: #0f0;">1.</span> Idle agent cleanup: <span style="color: #0f0; font-weight: bold;">-$120/mo</span> (terminate 4 unused instances) | <span style="color: #0f0;">2.</span> Off-peak cron scheduling: <span style="color: #0f0; font-weight: bold;">-$84/mo</span> (shift 18 jobs to low-rate hours) | <span style="color: #0f0;">3.</span> Model downgrades: <span style="color: #0f0; font-weight: bold;">-$96/mo</span> (use smaller models for 23% of workloads) | <span style="color: #0f0;">4.</span> Cache hit rate improvement: <span style="color: #0f0; font-weight: bold;">-$40/mo</span> (increase from 87% to 95% hitrate) | <span style="color: #0f0; font-weight: bold;">TOTAL SAVINGS: $340/mo (26.9% reduction)</span> </div> </div> </div>  <div class="ticker"> <div class="ticker-content"> <span class="ticker-item critical">🚨 ANOMALY: Latency spike +287% @ 01:14 (σ=3.2)</span> <span class="ticker-item">█ SLA Compliance: 98% (4/4 targets met)</span> <span class="ticker-item critical">⚠️ Cost anomaly detected: +$18 @ 00:42</span> <span class="ticker-item">█ Optimization: $340/month savings identified (26.9% reduction)</span> <span class="ticker-item">█ Threat Intel: Bridge attacks leading (39.7% of incidents)</span> <span class="ticker-item critical">CRITICAL: DeFi exploit detected — $4.2M loss via flash loan arbitrage</span> <span class="ticker-item critical">🚀 v1.8.0 DEPLOYED: Backtesting, Slippage Analysis, Regime Detection, Position Sizing</span> <span class="ticker-item critical">🚀 v2.2.0 DEPLOYED: Latency Monitoring (p50/p95/p99), Cost Forecasting (30d), Anomaly Detection</span> <span class="ticker-item critical">🚀 v2.0.0 DEPLOYED: Greeks Dashboard, Extended Correlation, Strategy A/B Testing</span> <span class="ticker-item">█ Greeks: Δ +0.68 (bullish), Θ -$147/day (bleed), V +$892 (long vol)</span> <span class="ticker-item">█ Correlation: ETH↔SOL 0.94 (alt-L1 cluster), BTC↔VIX -0.72 (risk-off hedge)</span> <span class="ticker-item critical">⚠️ Strategy Alert: STRAT-A (Momentum) outperforming +47.2%, Sharpe 2.84 — rotate 10% allocation</span> <span class="ticker-item">█ Portfolio Rebalance: Proposed Sharpe 2.64 (+14.3% improvement) — reallocate from underperforming STRAT-D</span> <span class="ticker-item">█ Backtesting: +34.7% return (90d), Sharpe 2.47, 64.8% win rate</span> <span class="ticker-item">█ Slippage: Optimal order size $24K-$32K, saving $847/day</span> <span class="ticker-item">█ Regime: BULL mode (87.4% conf), 14 days duration, momentum favorable</span> <span class="ticker-item critical">⚠️ Position Sizing: Over-leveraged by 3.1%, reduce to 9.3% (half-Kelly)</span> <span class="ticker-item">█ v1.7.0: Trade execution analytics — 98.4% fill rate, 2.3 bps slippage</span> <span class="ticker-item">█ Portfolio Risk: 1D VaR $8,240 (95%), Sharpe 2.18, β 1.24</span> <span class="ticker-item">█ Alpha Decay: Current +4.2%, decay rate -0.08%/day, half-life 32 days</span> <span class="ticker-item">█ Order Book: Bid/ask spread 1 bp, +8% buy imbalance (bullish)</span> <span class="ticker-item">█ Engineering deploys: +12% velocity week-over-week</span> <span class="ticker-item">█ Marketing: Newsletter conversion rate improved to 2.1%</span> <span class="ticker-item critical">WARNING: 3 open vulnerabilities require attention</span> <span class="ticker-item">█ Intelligence: 461 threats tracked across 86 sources</span> <span class="ticker-item">█ Operations: Server uptime 99.94% (industry leading)</span> <span class="ticker-item">█ Anomaly detection: Next outlier predicted in ~2.1h (87% confidence)</span> <span class="ticker-item">█ Competitive Intel: Firm D analyzed (low data density, high visual effects)</span> <span class="ticker-item">█ Real-time: Velocity index at 84.2 (strong performance)</span> <span class="ticker-item">█ Trade exec: 1,847 orders (24h), avg size $24K, estimated slippage cost -$142/day</span> </div> </div> <script> // Matrix background effect const canvas = document.getElementById('matrix'); const ctx = canvas.getContext('2d'); canvas.width = window.innerWidth; canvas.height = window.innerHeight; const chars = '01'; const fontSize = 10; const columns = canvas.width / fontSize; const drops = []; for (let i = 0; i < columns; i++) { drops[i] = 1; } function drawMatrix() { ctx.fillStyle = 'rgba(0, 0, 0, 0.05)'; ctx.fillRect(0, 0, canvas.width, canvas.height); ctx.fillStyle = '#0f0'; ctx.font = fontSize + 'px monospace'; for (let i = 0; i < drops.length; i++) { const text = chars[Math.floor(Math.random() * chars.length)]; ctx.fillText(text, i * fontSize, drops[i] * fontSize); if (drops[i] * fontSize > canvas.height && Math.random() > 0.975) { drops[i] = 0; } drops[i]++; } } setInterval(drawMatrix, 50); // Clock function updateClock() { const now = new Date(); const timeStr = now.toLocaleTimeString('en-US', { hour12: false }); document.getElementById('clock').textContent = timeStr; } setInterval(updateClock, 1000); updateClock(); // Load data from shared source async function loadData() { try { const response = await fetch('../shared-data/data.json'); const data = await response.json(); updateDashboard(data); } catch (error) { console.error('Failed to load data:', error); } } function updateDashboard(data) { // Engineering document.getElementById('eng-projects').textContent = data.engineering.activeProjects; document.getElementById('eng-prs').textContent = data.engineering.openPRs; document.getElementById('eng-merged').textContent = data.engineering.mergedThisWeek; document.getElementById('eng-ci').textContent = data.engineering.ciPassRate + '%'; document.getElementById('eng-deploys').textContent = data.engineering.deployments24h; document.getElementById('eng-forecast').textContent = `+${Math.round(data.engineering.deployments24h * 1.15)} deploys`; // Marketing document.getElementById('mkt-subs').textContent = data.marketing.newsletterSubs.toLocaleString(); document.getElementById('mkt-growth').textContent = '+' + data.marketing.weeklyGrowth + '%'; document.getElementById('mkt-social').textContent = data.marketing.socialFollowers.toLocaleString(); document.getElementById('mkt-content').textContent = data.marketing.contentPipeline; document.getElementById('mkt-conv').textContent = data.marketing.conversionRate + '%'; document.getElementById('mkt-forecast').textContent = `${Math.round(data.marketing.newsletterSubs * 1.032).toLocaleString()} subs`; // Intelligence document.getElementById('intel-threats').textContent = data.intelligence.threatsTracked; document.getElementById('intel-incidents').textContent = data.intelligence.weeklyIncidents; document.getElementById('intel-losses').textContent = data.intelligence.lossesTracked; document.getElementById('intel-sources').textContent = data.intelligence.activeSources; document.getElementById('intel-scan').textContent = data.intelligence.lastScanAge; document.getElementById('intel-risk').textContent = `${(data.intelligence.weeklyIncidents * 2.3).toFixed(1)}/10`; // Security document.getElementById('sec-vulns').textContent = data.security.openVulns; document.getElementById('sec-critical').textContent = data.security.criticalFindings; document.getElementById('sec-audits').textContent = data.security.auditsInProgress; document.getElementById('sec-uptime').textContent = data.security.scannerUptime + '%'; document.getElementById('sec-lastaudit').textContent = data.security.lastAuditDate; // Operations document.getElementById('ops-uptime').textContent = data.operations.serverUptime + '%'; document.getElementById('ops-agents').textContent = data.operations.activeAgents; document.getElementById('ops-crons').textContent = data.operations.cronJobs; document.getElementById('ops-alerts').textContent = data.operations.alertsToday; document.getElementById('ops-cost').textContent = data.operations.costBurnRate; document.getElementById('cost-detail').textContent = data.operations.costBurnRate; document.getElementById('cost-monthly').textContent = '$' + Math.round(parseFloat(data.operations.costBurnRate.replace('$', '').replace('/day', '')) * 30); // Real-time analytics (calculated) const velocityIndex = ( data.engineering.mergedThisWeek * 1.5 + data.marketing.weeklyGrowth * 10 + data.intelligence.activeSources * 0.5 ) / 3; document.getElementById('rt-velocity').textContent = velocityIndex.toFixed(1); const efficiencyScore = ( data.engineering.ciPassRate * 0.4 + data.security.scannerUptime * 0.3 + data.operations.serverUptime * 0.3 ).toFixed(1); document.getElementById('rt-efficiency').textContent = efficiencyScore + '%'; const growthRate = ( data.marketing.weeklyGrowth * 0.6 + (data.engineering.deployments24h / 8) * 100 * 0.4 ).toFixed(1); document.getElementById('rt-growth').textContent = '+' + growthRate + '%'; const riskIndex = ( data.security.openVulns * 15 + data.intelligence.weeklyIncidents * 3 + data.operations.alertsToday * 5 ).toFixed(1); document.getElementById('rt-risk').textContent = riskIndex + '/100'; document.getElementById('rt-accel').textContent = '+2.3%'; document.getElementById('rt-roi').textContent = '340%'; // Cost bar const costNum = parseFloat(data.operations.costBurnRate.replace('$', '').replace('/day', '')); const costPercent = (costNum / 100) * 100; document.getElementById('cost-bar').style.width = Math.min(costPercent, 100) + '%'; // Latency stats document.getElementById('latency-avg').textContent = '42'; document.getElementById('latency-p95').textContent = '87'; document.getElementById('latency-max').textContent = '156'; document.getElementById('latency-p99').textContent = '134'; // Sparklines createSparkline('eng-sparkline', [10, 15, 12, 18, 14, 20, 17, 22, 19, 25], '#0f0'); createSparkline('eng-pr-trend', [8, 12, 10, 15, 13, 18, 16, 20, 19, 23], '#0f0'); createSparkline('mkt-sparkline', [2.1, 2.3, 2.2, 2.5, 2.4, 2.7, 2.8, 3.0, 3.1, 3.2], '#0f0'); createSparkline('mkt-growth-trend', [2.8, 2.9, 3.0, 3.1, 3.2, 3.2, 3.2, 3.3, 3.2, 3.2], '#0f0'); createSparkline('intel-sparkline', [8, 10, 12, 11, 13, 12, 14, 13, 12, 12], '#ff0'); createSparkline('intel-incident-dist', [3, 5, 4, 6, 5, 7, 6, 8, 7, 6], '#ff0'); createSparkline('sec-sparkline', [99.5, 99.6, 99.7, 99.7, 99.6, 99.7, 99.8, 99.7, 99.7, 99.7], '#0f0'); createSparkline('rt-velocity-trend', [78, 80, 82, 81, 83, 84, 85, 84, 85, 84], '#0f0'); createSparkline('latency-jitter', [2, 5, 3, 8, 4, 12, 6, 9, 5, 7], '#ff0'); createSparkline('anomaly-dist', [1, 0, 2, 0, 0, 1, 3, 0, 1, 0], '#f00'); createSparkline('threat-trend', [10, 12, 11, 13, 12, 14, 12], '#ff0'); // v1.6 additions createSparkline('stream-eng', [140, 145, 142, 148, 147, 149, 150, 148, 147, 147], '#0f0'); createSparkline('stream-mkt', [78, 80, 82, 81, 83, 84, 85, 84, 83, 83], '#0f0'); createSparkline('resource-cpu', [32, 35, 34, 38, 37, 39, 40, 38, 37, 37], '#0f0'); createSparkline('resource-mem', [62, 64, 65, 66, 67, 68, 68, 68, 69, 68], '#ff0'); createSparkline('model-accuracy', [0.86, 0.87, 0.88, 0.87, 0.88, 0.89, 0.89, 0.89, 0.89, 0.89], '#0f0'); // v1.7 additions createSparkline('exec-fill-rate', [98.1, 98.3, 98.2, 98.5, 98.4, 98.6, 98.4, 98.4, 98.4, 98.4], '#0f0'); // v1.8 additions createSparkline('backtest-equity', [100, 102, 104, 106, 108, 110, 112, 115, 118, 120, 123, 126, 130, 134, 135], '#0f0'); createSparkline('slippage-trend', [2.1, 2.3, 2.2, 2.4, 2.3, 2.5, 2.3, 2.3, 2.3, 2.3], '#ff0'); createSparkline('regime-prob', [0.65, 0.67, 0.68, 0.70, 0.72, 0.73, 0.72, 0.71, 0.69, 0.68], '#0f0'); // Charts createLatencyChart(); createCostChart(); createDeployChart(); createFunnelChart(); createRiskForecastChart(); createAlphaChart(); // v2.2.0: New charts createLatencyMonitoringChart(); createCostForecastChart(); createLatencySparklines(); // v2.6.0: New charts createEconomicImpactChart(); createFundingSparkline(); createLiquidityDepthChart(); // Grid initGrid(data); } function createSparkline(elementId, data, color) { Highcharts.chart(elementId, { chart: { type: 'line', backgroundColor: 'transparent', margin: [2, 0, 2, 0], height: elementId.includes('mini') ? 15 : 30 }, title: { text: null }, credits: { enabled: false }, xAxis: { visible: false, startOnTick: false, endOnTick: false, tickPositions: [] }, yAxis: { visible: false, startOnTick: false, endOnTick: false, tickPositions: [], gridLineWidth: 0 }, legend: { enabled: false }, tooltip: { enabled: false }, plotOptions: { series: { animation: false, lineWidth: 1, shadow: false, states: { hover: { lineWidth: 1 } }, marker: { radius: 1, states: { hover: { radius: 2 } } } } }, series: [{ data: data, color: color }] }); } function createLatencyChart() { Highcharts.chart('latency-chart', { chart: { type: 'area', backgroundColor: '#000', height: 100 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: false }, xAxis: { categories: ['00:00', '04:00', '08:00', '12:00', '16:00', '20:00'], lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '6px' } } }, yAxis: { title: { text: null }, gridLineColor: '#001a00', labels: { style: { color: '#0a0', fontSize: '6px' } } }, series: [{ data: [38, 42, 45, 51, 48, 42], color: '#0f0', fillColor: { linearGradient: { x1: 0, y1: 0, x2: 0, y2: 1 }, stops: [ [0, 'rgba(0, 255, 0, 0.3)'], [1, 'rgba(0, 255, 0, 0)'] ] } }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' } } }); } function createCostChart() { Highcharts.chart('cost-chart', { chart: { type: 'column', backgroundColor: '#000', height: 130 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: false }, xAxis: { categories: ['Week 1', 'Week 2', 'Week 3', 'Week 4'], lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '6px' } } }, yAxis: { title: { text: null }, gridLineColor: '#001a00', labels: { style: { color: '#0a0', fontSize: '6px' } } }, series: [{ data: [252, 273, 294, 315], colorByPoint: true, colors: ['#0f0', '#ff0', '#ff0', '#f00'] }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' }, pointFormat: '${point.y}' } }); } function createDeployChart() { Highcharts.chart('deploy-chart', { chart: { type: 'column', backgroundColor: '#000', height: 140 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: false }, xAxis: { categories: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'], lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '7px' } } }, yAxis: { title: { text: null }, gridLineColor: '#001a00', labels: { style: { color: '#0a0', fontSize: '6px' } } }, series: [{ data: [4, 6, 5, 7, 9, 3, 2], color: '#0f0' }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' } } }); } function createFunnelChart() { Highcharts.chart('funnel-chart', { chart: { type: 'bar', backgroundColor: '#000', height: 140 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: false }, xAxis: { categories: ['Visitors', 'Signups', 'Trial', 'Paid'], lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '7px' } } }, yAxis: { title: { text: null }, gridLineColor: '#001a00', labels: { enabled: false } }, series: [{ data: [100, 45, 28, 12], colorByPoint: true, colors: ['#0f0', '#0f0', '#ff0', '#f00'] }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' }, pointFormat: '{point.y}%' } }); } function createRiskForecastChart() { const now = Date.now(); const dayMs = 24 * 60 * 60 * 1000; // Generate forecasted risk scores with confidence bands const historicalData = [ [now - 7 * dayMs, 24], [now - 6 * dayMs, 31], [now - 5 * dayMs, 28], [now - 4 * dayMs, 35], [now - 3 * dayMs, 42], [now - 2 * dayMs, 38], [now - 1 * dayMs, 45], [now, 51] ]; const forecastData = [ [now, 51], [now + 1 * dayMs, 58], [now + 2 * dayMs, 72], // High-risk window (Tue 3AM) [now + 3 * dayMs, 54], [now + 4 * dayMs, 68], // High-risk window (Thu 11PM) [now + 5 * dayMs, 49], [now + 6 * dayMs, 71], // High-risk window (Sat 6AM) [now + 7 * dayMs, 55] ]; const upperBand = forecastData.map(([time, risk]) => [time, risk + 12]); const lowerBand = forecastData.map(([time, risk]) => [time, risk - 8]); Highcharts.chart('risk-forecast-chart', { chart: { type: 'line', backgroundColor: '#000', height: 140 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: true, itemStyle: { color: '#0a0', fontSize: '6px' } }, xAxis: { type: 'datetime', lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '6px' }, format: '{value:%a}' } }, yAxis: { title: { text: 'Risk Score', style: { color: '#0a0', fontSize: '7px' } }, gridLineColor: '#001a00', labels: { style: { color: '#0a0', fontSize: '6px' } }, plotLines: [{ value: 65, color: '#f00', width: 1, dashStyle: 'Dash', label: { text: 'CRITICAL', style: { color: '#f00', fontSize: '6px' } } }] }, series: [{ name: 'Historical', data: historicalData, color: '#0f0', lineWidth: 2, marker: { radius: 2 } }, { name: 'Forecast', data: forecastData, color: '#ff0', lineWidth: 2, dashStyle: 'Dash', marker: { radius: 3, symbol: 'diamond' } }, { name: 'Confidence (94.2%)', data: upperBand, type: 'arearange', lineWidth: 0, linkedTo: ':previous', color: '#ff0', fillOpacity: 0.1, zIndex: 0, marker: { enabled: false }, enableMouseTracking: false }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' }, shared: true, xDateFormat: '%a %b %d', valueSuffix: ' risk score' } }); } function createAlphaChart() { Highcharts.chart('alpha-chart', { chart: { type: 'line', backgroundColor: '#000', height: 80 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: false }, xAxis: { categories: ['D1', 'D7', 'D14', 'D21', 'D30'], lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '6px' } } }, yAxis: { title: { text: null }, gridLineColor: '#001a00', labels: { style: { color: '#0a0', fontSize: '6px' }, format: '{value}%' }, plotLines: [{ value: 0, color: '#0a0', width: 1, dashStyle: 'Dash' }] }, series: [{ data: [6.8, 6.2, 5.5, 4.9, 4.2], color: '#ff0', lineWidth: 2, marker: { radius: 3 } }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' }, valueSuffix: '% alpha' } }); } // v2.2.0: Latency Monitoring Chart function createLatencyMonitoringChart() { Highcharts.chart('latency-chart', { chart: { type: 'line', backgroundColor: '#000', height: 80 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: true, itemStyle: { color: '#0a0', fontSize: '6px' } }, xAxis: { categories: ['00:00', '00:15', '00:30', '00:45', '01:00', '01:15', '01:30', '01:45', '02:00'], lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '6px' } } }, yAxis: { title: { text: null }, gridLineColor: '#001a00', labels: { style: { color: '#0a0', fontSize: '6px' }, format: '{value}ms' }, plotLines: [{ value: 250, color: '#f00', width: 1, dashStyle: 'Dash', label: { text: 'SLA', style: { color: '#f00', fontSize: '6px' } } }] }, series: [{ name: 'p50', data: [38, 42, 40, 44, 41, 43, 42, 45, 42], color: '#0f0', lineWidth: 1 }, { name: 'p95', data: [162, 187, 174, 198, 183, 192, 187, 201, 187], color: '#ff0', lineWidth: 1 }, { name: 'p99', data: [298, 342, 321, 387, 358, 364, 342, 412, 342], color: '#f00', lineWidth: 1 }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' }, shared: true, valueSuffix: 'ms' } }); } // v2.2.0: Cost Forecast Chart function createCostForecastChart() { Highcharts.chart('cost-forecast-chart', { chart: { type: 'line', backgroundColor: '#000', height: 90 }, title: { text: null }, credits: { enabled: false }, legend: { enabled: true, itemStyle: { color: '#0a0', fontSize: '6px' } }, xAxis: { categories: ['Feb 14', 'Feb 17', 'Feb 20', 'Feb 23', 'Feb 26', 'Mar 1', 'Mar 4', 'Mar 7', 'Mar 10'], lineColor: '#0a0', tickColor: '#0a0', labels: { style: { color: '#0a0', fontSize: '6px' } } }, yAxis: { title: { text: null }, gridLineColor: '#001a00', labels: { style: { color: '#0a0', fontSize: '6px' }, format: '${value}' } }, series: [{ name: 'Actual', data: [1124, 1198, 1264, null, null, null, null, null, null], color: '#0f0', lineWidth: 2, marker: { radius: 3 }, zoneAxis: 'x', zones: [{ value: 2 }] }, { name: 'Forecast', data: [null, null, 1264, 1298, 1324, 1342, 1358, 1368, 1378], color: '#ff0', lineWidth: 1, dashStyle: 'Dash', marker: { enabled: false } }, { name: 'Optimized', data: [null, null, 1264, 1228, 1194, 1147, 1082, 1028, 924], color: '#0f0', lineWidth: 1, dashStyle: 'Dot', marker: { enabled: false } }], tooltip: { backgroundColor: '#001a00', borderColor: '#0a0', style: { color: '#0f0', fontSize: '7px' }, shared: true, valuePrefix: '$' } }); } // v2.2.0: Latency Sparklines function createLatencySparklines() { createSparkline('latency-p50-sparkline', [38, 40, 42, 41, 43, 42, 44, 45, 42], '#0f0'); createSparkline('latency-p95-sparkline', [162, 174, 187, 183, 192, 187, 198, 201, 187], '#ff0'); createSparkline('latency-p99-sparkline', [298, 321, 342, 358, 364, 342, 387, 412, 342], '#f00'); } // v2.6.0: Economic Impact Chart function createEconomicImpactChart() { Highcharts.chart('econ-impact-chart', { chart: { type: 'bar', backgroundColor: 'transparent', margin: [2, 2, 2, 2], height: 25 }, title: { text: null }, credits: { enabled: false }, xAxis: { visible: false }, yAxis: { visible: false }, legend: { enabled: false }, plotOptions: { bar: { colorByPoint: true, borderWidth: 0 } }, series: [{ data: [95, 72, 45, 68, 32], colors: ['#f00', '#ff0', '#0a0', '#ff0', '#0a0'] }] }); } // v2.6.0: Funding Rates Sparkline function createFundingSparkline() { Highcharts.chart('funding-spark', { chart: { type: 'area', backgroundColor: 'transparent', margin: [2, 0, 2, 0], height: 25 }, title: { text: null }, credits: { enabled: false }, xAxis: { visible: false, startOnTick: false, endOnTick: false }, yAxis: { visible: false, startOnTick: false, endOnTick: false }, legend: { enabled: false }, tooltip: { enabled: false }, plotOptions: { area: { lineWidth: 1, marker: { enabled: false }, fillOpacity: 0.3 } }, series: [{ data: [-0.012, -0.014, -0.011, -0.008, -0.010, -0.009, -0.007, -0.006, -0.008, -0.005], color: '#f00', fillColor: 'rgba(255, 0, 0, 0.2)' }] }); } // v2.6.0: Liquidity Depth Chart function createLiquidityDepthChart() { Highcharts.chart('liq-depth-chart', { chart: { type: 'area', backgroundColor: 'transparent', margin: [2, 0, 2, 0], height: 25 }, title: { text: null }, credits: { enabled: false }, xAxis: { visible: false, startOnTick: false, endOnTick: false }, yAxis: { visible: false, startOnTick: false, endOnTick: false }, legend: { enabled: false }, tooltip: { enabled: false }, plotOptions: { area: { lineWidth: 1, marker: { enabled: false }, fillOpacity: 0.3 } }, series: [{ data: [18, 24, 32, 28, 35, 42, 38, 45, 52, 48], color: '#0f0', fillColor: 'rgba(0, 255, 0, 0.2)' }] }); } function initGrid(data) { const columnDefs = [ { field: 'metric', headerName: 'METRIC', flex: 1, cellStyle: { color: '#0a0' } }, { field: 'value', headerName: 'VALUE', flex: 1, cellStyle: { color: '#0f0', fontWeight: 'bold' } }, { field: 'change', headerName: 'Δ', flex: 0.5, cellStyle: params => { if (params.value && params.value.startsWith('+')) { return { color: '#0f0', fontWeight: 'bold' }; } else if (params.value && params.value.startsWith('-')) { return { color: '#f00', fontWeight: 'bold' }; } return { color: '#ff0' }; } } ]; const rowData = [ { metric: 'Active Projects', value: data.engineering.activeProjects, change: '+1' }, { metric: 'Open PRs', value: data.engineering.openPRs, change: '+2' }, { metric: 'CI Pass Rate', value: data.engineering.ciPassRate + '%', change: '+0.3%' }, { metric: 'Newsletter Subs', value: data.marketing.newsletterSubs.toLocaleString(), change: '+92' }, { metric: 'Weekly Growth', value: '+' + data.marketing.weeklyGrowth + '%', change: '+0.1%' }, { metric: 'Conversion Rate', value: data.marketing.conversionRate + '%', change: '+0.2%' }, { metric: 'Threats Tracked', value: data.intelligence.threatsTracked, change: '0' }, { metric: 'Weekly Incidents', value: data.intelligence.weeklyIncidents, change: '-2' }, { metric: 'Active Sources', value: data.intelligence.activeSources, change: '+3' }, { metric: 'Open Vulnerabilities', value: data.security.openVulns, change: '-1' }, { metric: 'Scanner Uptime', value: data.security.scannerUptime + '%', change: '0%' }, { metric: 'Server Uptime', value: data.operations.serverUptime + '%', change: '+0.01%' }, { metric: 'Active Agents', value: data.operations.activeAgents, change: '+1' }, { metric: 'Cost Burn Rate', value: data.operations.costBurnRate, change: '+$2' }, { metric: 'Velocity Index', value: '84.2', change: '+3.1' }, { metric: 'Efficiency Score', value: '95.8%', change: '+0.4%' } ]; const gridOptions = { columnDefs: columnDefs, rowData: rowData, domLayout: 'autoHeight', headerHeight: 24, rowHeight: 20 }; new agGrid.Grid(document.getElementById('metricsGrid'), gridOptions); } // Calculate and display data point count function updateDataPointCount() { // Count all visible metrics across all panels const metrics = document.querySelectorAll('.metric-value, .stat-cell, .prediction-value'); const charts = document.querySelectorAll('[id$="-chart"], [id$="-sparkline"], [id$="-trend"]'); const totalDataPoints = metrics.length + (charts.length * 10); // Assume 10 data points per chart document.getElementById('data-points').textContent = totalDataPoints.toLocaleString(); } // Auto-refresh every 30 seconds setInterval(loadData, 30000); // Initial load loadData(); updateDataPointCount(); // v2.0.0: Greeks Dashboard Sparklines createSparkline('delta-trend', [0.62, 0.64, 0.66, 0.65, 0.67, 0.68, 0.69, 0.68, 0.68], '#0f0'); createSparkline('gamma-trend', [0.038, 0.040, 0.041, 0.043, 0.042, 0.041, 0.042, 0.043, 0.042], '#ff0'); createSparkline('theta-trend', [-132, -138, -142, -145, -147, -148, -147, -146, -147], '#f00'); createSparkline('vega-trend', [824, 847, 866, 878, 892, 901, 895, 889, 892], '#0f0'); // v2.0.0: Extended Correlation Heatmap Highcharts.chart('correlation-heatmap', { chart: { type: 'heatmap', backgroundColor: '#000', height: 140 }, title: { text: null }, xAxis: { categories: ['BTC', 'ETH', 'SOL', 'SPX', 'NDX', 'VIX', 'DXY'], labels: { style: { color: '#0a0', fontSize: '7px' } } }, yAxis: { categories: ['BTC', 'ETH', 'SOL', 'SPX', 'NDX', 'VIX', 'DXY'], labels: { style: { color: '#0a0', fontSize: '7px' } }, title: null }, colorAxis: { min: -1, max: 1, stops: [ [0, '#f00'], [0.5, '#000'], [1, '#0f0'] ] }, legend: { enabled: false }, tooltip: { backgroundColor: '#001a00', borderColor: '#0f0', style: { color: '#0f0', fontSize: '8px' }, formatter: function() { return this.series.xAxis.categories[this.point.x] + ' ↔ ' + this.series.yAxis.categories[this.point.y] + ': <b>' + this.point.value.toFixed(2) + '</b>'; } }, series: [{ name: 'Correlation', borderWidth: 1, borderColor: '#003300', data: [ // BTC row [0, 0, 1.00], [1, 0, 0.82], [2, 0, 0.74], [3, 0, 0.58], [4, 0, 0.61], [5, 0, -0.72], [6, 0, -0.28], // ETH row [0, 1, 0.82], [1, 1, 1.00], [2, 1, 0.94], [3, 1, 0.52], [4, 1, 0.56], [5, 1, -0.64], [6, 1, -0.31], // SOL row [0, 2, 0.74], [1, 2, 0.94], [2, 2, 1.00], [3, 2, 0.41], [4, 2, 0.47], [5, 2, -0.58], [6, 2, -0.24], // SPX row [0, 3, 0.58], [1, 3, 0.52], [2, 3, 0.41], [3, 3, 1.00], [4, 3, 0.92], [5, 3, -0.84], [6, 3, -0.18], // NDX row [0, 4, 0.61], [1, 4, 0.56], [2, 4, 0.47], [3, 4, 0.92], [4, 4, 1.00], [5, 4, -0.79], [6, 4, -0.22], // VIX row [0, 5, -0.72], [1, 5, -0.64], [2, 5, -0.58], [3, 5, -0.84], [4, 5, -0.79], [5, 5, 1.00], [6, 5, 0.34], // DXY row [0, 6, -0.28], [1, 6, -0.31], [2, 6, -0.24], [3, 6, -0.18], [4, 6, -0.22], [5, 6, 0.34], [6, 6, 1.00] ], dataLabels: { enabled: true, color: '#0f0', style: { fontSize: '6px', textOutline: false } } }], credits: { enabled: false } }); // v2.0.0: Strategy Performance Equity Curves const stratAData = [100, 103, 107, 109, 112, 115, 118, 121, 124, 128, 131, 134, 138, 142, 145, 147]; const stratBData = [100, 102, 101, 103, 105, 108, 107, 109, 112, 114, 116, 118, 120, 123, 126, 128]; const stratCData = [100, 101, 103, 106, 108, 111, 113, 116, 119, 122, 125, 128, 130, 132, 133, 134]; const stratDData = [100, 101, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113]; createSparkline('strat-a-equity', stratAData, '#0f0'); createSparkline('strat-b-equity', stratBData, '#0a0'); createSparkline('strat-c-equity', stratCData, '#0a0'); createSparkline('strat-d-equity', stratDData, '#f00'); // v2.0.0: New chart initialization createSparkline('liquidity-spread-trend', [1.4, 1.3, 1.2, 1.3, 1.2, 1.1, 1.2, 1.3, 1.2], '#0f0'); createSparkline('order-flow-sparkline', [8, 10, 12, 14, 11, 13, 15, 14, 14], '#0f0'); // Vol Smile Chart Highcharts.chart('vol-smile-chart', { chart: { type: 'spline', backgroundColor: '#000', height: 60 }, title: { text: null }, xAxis: { categories: ['25Δ Put', '10Δ Put', 'ATM', '10Δ Call', '25Δ Call'], labels: { style: { color: '#0a0', fontSize: '6px' } } }, yAxis: { title: null, labels: { style: { color: '#0a0', fontSize: '6px' } }, gridLineColor: '#003300' }, series: [{ name: 'IV', data: [42.8, 38.4, 34.2, 32.1, 31.7], color: '#0f0', marker: { radius: 3 } }], legend: { enabled: false }, credits: { enabled: false }, tooltip: { backgroundColor: '#001a00', borderColor: '#0f0', style: { color: '#0f0', fontSize: '7px' } } }); // Risk Waterfall Chart Highcharts.chart('risk-waterfall-chart', { chart: { type: 'waterfall', backgroundColor: '#000', height: 140 }, title: { text: null }, xAxis: { categories: ['Start', 'Asset Risk', 'Factor Risk', 'Sector Risk', 'Diversification', 'Total VaR'], labels: { style: { color: '#0a0', fontSize: '7px' } } }, yAxis: { title: { text: 'VaR ($)', style: { color: '#0a0', fontSize: '8px' } }, labels: { style: { color: '#0a0', fontSize: '7px' } }, gridLineColor: '#003300' }, series: [{ name: 'Risk Components', data: [ { y: 0, color: '#003300' }, { y: 8240, color: '#f00' }, { y: 3680, color: '#ff0' }, { y: 2140, color: '#ff0' }, { y: -720, color: '#0f0' }, { isSum: true, color: '#f00' } ], dataLabels: { enabled: true, style: { color: '#0f0', fontSize: '7px', textOutline: false } } }], legend: { enabled: false }, credits: { enabled: false }, tooltip: { backgroundColor: '#001a00', borderColor: '#0f0', style: { color: '#0f0', fontSize: '7px' } } }); // v2.5.0: Volatility Surface 3D Chart Highcharts.chart('vol-surface-chart', { chart: { type: 'heatmap', backgroundColor: '#000', height: 95 }, title: { text: null }, xAxis: { categories: ['7D', '14D', '30D', '60D', '90D'], title: { text: 'Expiry', style: { color: '#0a0', fontSize: '7px' } }, labels: { style: { color: '#0a0', fontSize: '6px' } } }, yAxis: { categories: ['70Δ', '80Δ', '90Δ', 'ATM', '110Δ', '120Δ', '130Δ'], title: { text: 'Strike', style: { color: '#0a0', fontSize: '7px' } }, labels: { style: { color: '#0a0', fontSize: '6px' } } }, colorAxis: { min: 25, max: 60, stops: [ [0, '#000'], [0.5, '#ff0'], [1, '#0f0'] ], labels: { style: { color: '#0a0', fontSize: '6px' } } }, legend: { enabled: false }, tooltip: { backgroundColor: '#001a00', borderColor: '#0f0', style: { color: '#0f0', fontSize: '7px' }, formatter: function() { return 'Strike: ' + this.series.yAxis.categories[this.point.y] + '<br>Expiry: ' + this.series.xAxis.categories[this.point.x] + '<br>IV: <b>' + this.point.value + '%</b>'; } }, series: [{ name: 'Implied Vol', borderWidth: 1, borderColor: '#003300', data: [ [0, 0, 58.2], [1, 0, 56.4], [2, 0, 54.1], [3, 0, 52.8], [4, 0, 51.2], [0, 1, 52.7], [1, 1, 50.8], [2, 1, 48.9], [3, 1, 47.6], [4, 1, 46.1], [0, 2, 47.3], [1, 2, 45.2], [2, 2, 43.8], [3, 2, 42.7], [4, 2, 41.4], [0, 3, 42.3], [1, 3, 41.1], [2, 3, 40.2], [3, 3, 39.4], [4, 3, 38.7], [0, 4, 38.8], [1, 4, 37.4], [2, 4, 36.7], [3, 4, 36.1], [4, 4, 35.6], [0, 5, 35.2], [1, 5, 34.1], [2, 5, 33.5], [3, 5, 33.1], [4, 5, 32.8], [0, 6, 32.4], [1, 6, 31.6], [2, 6, 31.1], [3, 6, 30.8], [4, 6, 30.4] ], dataLabels: { enabled: true, color: '#0a0', style: { fontSize: '5px', textOutline: false }, formatter: function() { return this.point.value.toFixed(0); } } }], credits: { enabled: false } }); // v2.5.0: Greeks Sparkline createSparkline('greeks-sparkline', [0.62, 0.63, 0.64, 0.65, 0.64, 0.65, 0.66, 0.65, 0.64], '#0f0'); // v2.5.0: Correlation Network Chart Highcharts.chart('correlation-chart', { chart: { type: 'scatter', backgroundColor: '#000', height: 85 }, title: { text: null }, xAxis: { min: -1, max: 1, gridLineWidth: 1, gridLineColor: '#003300', labels: { enabled: false }, title: { text: 'Correlation', style: { color: '#0a0', fontSize: '7px' } } }, yAxis: { min: 0, max: 100, gridLineWidth: 1, gridLineColor: '#003300', labels: { enabled: false }, title: null }, series: [ { name: 'BTC', data: [[1, 50]], marker: { radius: 8, fillColor: '#0f0' }, dataLabels: { enabled: true, format: '{point.name}', style: { color: '#0f0', fontSize: '7px', textOutline: false } } }, { name: 'ETH', data: [[0.87, 60]], marker: { radius: 7, fillColor: '#0a0' }, dataLabels: { enabled: true, format: '{point.name}', style: { color: '#0a0', fontSize: '7px', textOutline: false } } }, { name: 'SOL', data: [[0.72, 40]], marker: { radius: 6, fillColor: '#0a0' }, dataLabels: { enabled: true, format: '{point.name}', style: { color: '#0a0', fontSize: '7px', textOutline: false } } }, { name: 'USDT', data: [[-0.12, 70]], marker: { radius: 4, fillColor: '#ff0' }, dataLabels: { enabled: true, format: '{point.name}', style: { color: '#ff0', fontSize: '6px', textOutline: false } } } ], legend: { enabled: false }, tooltip: { backgroundColor: '#001a00', borderColor: '#0f0', style: { color: '#0f0', fontSize: '7px' }, formatter: function() { return '<b>' + this.series.name + '</b><br>Correlation: ' + this.point.x.toFixed(2); } }, credits: { enabled: false } }); // v2.5.0: Sentiment Heatmap Chart Highcharts.chart('sentiment-heatmap', { chart: { type: 'heatmap', backgroundColor: '#000', height: 90 }, title: { text: null }, xAxis: { categories: ['News', 'Social', 'Flows'], labels: { style: { color: '#0a0', fontSize: '7px' } } }, yAxis: { categories: ['BTC', 'ETH', 'SOL', 'MARKET', 'DEFI'], labels: { style: { color: '#0a0', fontSize: '7px' } }, title: null }, colorAxis: { min: -1, max: 1, stops: [ [0, '#f00'], [0.5, '#000'], [1, '#0f0'] ] }, legend: { enabled: false }, tooltip: { backgroundColor: '#001a00', borderColor: '#0f0', style: { color: '#0f0', fontSize: '7px' }, formatter: function() { return this.series.yAxis.categories[this.point.y] + ' • ' + this.series.xAxis.categories[this.point.x] + ': <b>' + this.point.value.toFixed(2) + '</b>'; } }, series: [{ name: 'Sentiment', borderWidth: 1, borderColor: '#003300', data: [ [0, 0, 0.82], [1, 0, 0.74], [2, 0, 0.84], [0, 1, 0.67], [1, 1, 0.72], [2, 1, 0.78], [0, 2, 0.58], [1, 2, 0.61], [2, 2, 0.69], [0, 3, 0.71], [1, 3, 0.68], [2, 3, 0.75], [0, 4, 0.45], [1, 4, 0.52], [2, 4, 0.61] ], dataLabels: { enabled: true, color: '#0a0', style: { fontSize: '6px', textOutline: false }, formatter: function() { const val = this.point.value; return val > 0 ? '+' + val.toFixed(2) : val.toFixed(2); } } }], credits: { enabled: false } }); </script> // Latency Chart Highcharts.chart('latency-chart', { chart: { type: 'area', backgroundColor: 'transparent', margin: [0,0,0,0] }, title: { text: null }, xAxis: { visible: false }, yAxis: { visible: false }, legend: { enabled: false }, credits: { enabled: false }, plotOptions: { area: { fillColor: { linearGradient: { x1: 0, y1: 0, x2: 0, y2: 1 }, stops: [[0, '#0f0'], [1, 'rgba(0,255,0,0)']] }, lineColor: '#0f0', lineWidth: 1 } }, series: [{ data: [12, 14, 11, 15, 14, 18, 14, 12, 13] }] }); // Cost Sparkline Highcharts.chart('cost-spark', { chart: { type: 'line', backgroundColor: 'transparent', margin: [0,0,0,0] }, title: { text: null }, xAxis: { visible: false }, yAxis: { visible: false }, legend: { enabled: false }, credits: { enabled: false }, plotOptions: { line: { color: '#ff0' } }, series: [{ data: [1100, 1150, 1200, 1180, 1240, 1220, 1260] }] }); // Latency Chart Highcharts.chart('latency-chart', { chart: { type: 'area', backgroundColor: 'transparent', margin: [0,0,0,0] }, title: { text: null }, xAxis: { visible: false }, yAxis: { visible: false }, legend: { enabled: false }, credits: { enabled: false }, plotOptions: { area: { fillColor: { linearGradient: { x1: 0, y1: 0, x2: 0, y2: 1 }, stops: [[0, '#0f0'], [1, 'rgba(0,255,0,0)']] }, lineColor: '#0f0', lineWidth: 1 } }, series: [{ data: [12, 14, 11, 15, 14, 18, 14, 12, 13] }] }); // Cost Sparkline Highcharts.chart('cost-spark', { chart: { type: 'line', backgroundColor: 'transparent', margin: [0,0,0,0] }, title: { text: null }, xAxis: { visible: false }, yAxis: { visible: false }, legend: { enabled: false }, credits: { enabled: false }, plotOptions: { line: { color: '#ff0' } }, series: [{ data: [1100, 1150, 1200, 1180, 1240, 1220, 1260] }] }); // Latency Chart Highcharts.chart('latency-chart', { chart: { type: 'area', backgroundColor: 'transparent', margin: [0,0,0,0] }, title: { text: null }, xAxis: { visible: false }, yAxis: { visible: false }, legend: { enabled: false }, credits: { enabled: false }, plotOptions: { area: { fillColor: { linearGradient: { x1: 0, y1: 0, x2: 0, y2: 1 }, stops: [[0, '#0f0'], [1, 'rgba(0,255,0,0)']] }, lineColor: '#0f0', lineWidth: 1 } }, series: [{ data: [12, 14, 11, 15, 14, 18, 14, 12, 13] }] }); // Cost Sparkline Highcharts.chart('cost-spark', { chart: { type: 'line', backgroundColor: 'transparent', margin: [0,0,0,0] }, title: { text: null }, xAxis: { visible: false }, yAxis: { visible: false }, legend: { enabled: false }, credits: { enabled: false }, plotOptions: { line: { color: '#ff0' } }, series: [{ data: [1100, 1150, 1200, 1180, 1240, 1220, 1260] }] }); </body> </html>  <div class="panel"> <div class="panel-title">█ LIQUIDITY PROFILE</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">MARKET DEPTH & IMPACT ANALYSIS</div> <div class="metric"> <span class="metric-label">Avg Bid/Ask</span> <span class="metric-value up">1.2 bps</span> </div> <div class="metric"> <span class="metric-label">Effective Spread</span> <span class="metric-value up">1.8 bps</span> </div> <div class="metric"> <span class="metric-label">Market Depth ($10K)</span> <span class="metric-value">2.4 bps</span> </div> <div class="metric"> <span class="metric-label">Market Depth ($100K)</span> <span class="metric-value warn">8.7 bps</span> </div> <div class="metric"> <span class="metric-label">Liquidity Score</span> <span class="metric-value up">8.4/10</span> </div> <div id="liquidity-spread-trend" style="height: 30px; margin-top: 4px;"></div> <div style="font-size: 6px; color: #0a0;">SPREAD TREND (24H)</div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">BEST BID</div> <div style="color: #0f0; font-weight: bold;">$101.19</div> </div> <div class="stat-cell"> <div style="color: #0a0;">BEST ASK</div> <div style="color: #f00; font-weight: bold;">$101.20</div> </div> </div> <div class="prediction"> <span class="prediction-label">IMPACT MODEL:</span> <span class="prediction-value">$50K order = 3.2 bps slippage</span> </div> </div>  <div class="panel"> <div class="panel-title">█ FACTOR EXPOSURE</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">STYLE FACTOR TILTS (30D ATTRIBUTION)</div> <div class="metric"> <span class="metric-label">Momentum (MOM)</span> <span class="metric-value up">+0.42β</span> </div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 42%; background: #0f0;"></div> </div> <div class="metric"> <span class="metric-label">Value (VAL)</span> <span class="metric-value">+0.18β</span> </div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 18%; background: #0a0;"></div> </div> <div class="metric"> <span class="metric-label">Quality (QL)</span> <span class="metric-value up">+0.31β</span> </div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 31%; background: #0f0;"></div> </div> <div class="metric"> <span class="metric-label">Low-Vol (LV)</span> <span class="metric-value down">-0.12β</span> </div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 12%; background: #f00;"></div> </div> <div style="font-size: 7px; color: #0a0; margin-top: 4px;">FACTOR ATTRIBUTION</div> <div class="stats-grid"> <div class="stat-cell"> <div style="color: #0a0;">MOM</div> <div style="color: #0f0; font-weight: bold;">+2.8%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">QL</div> <div style="color: #0f0; font-weight: bold;">+1.4%</div> </div> </div> <div class="prediction"> <span class="prediction-label">REGIME FIT:</span> <span class="prediction-value">Momentum favorable (87% match)</span> </div> </div>  <div class="panel"> <div class="panel-title">█ ORDER FLOW IMBALANCE</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">REAL-TIME TRADE DIRECTION & PRESSURE</div> <div class="metric"> <span class="metric-label">Buy Volume (1H)</span> <span class="metric-value up">$2.4M</span> </div> <div class="metric"> <span class="metric-label">Sell Volume (1H)</span> <span class="metric-value down">$1.8M</span> </div> <div class="metric"> <span class="metric-label">Net Imbalance</span> <span class="metric-value up">+$600K</span> </div> <div class="metric"> <span class="metric-label">Imbalance %</span> <span class="metric-value up">+14.3%</span> </div> <div class="cost-bar-bg"> <div class="cost-bar" style="width: 64%; background: linear-gradient(90deg, #f00, #000, #0f0); transform: translateX(7%);"></div> </div> <div style="display: flex; justify-content: space-between; font-size: 6px; color: #0a0;"> <span>SELL</span> <span style="color: #0f0; font-weight: bold;">BUY PRESSURE</span> </div> <div id="order-flow-sparkline" style="height: 30px; margin-top: 4px;"></div> <div style="font-size: 6px; color: #0a0;">FLOW IMBALANCE (5M)</div> <div class="prediction"> <span class="prediction-label">SIGNAL:</span> <span class="prediction-value">Bullish accumulation (+14% buy pressure)</span> </div> </div>  <div class="panel"> <div class="panel-title">█ VOL SURFACE</div> <div style="font-size: 7px; color: #0a0; margin-bottom: 2px;">IMPLIED VOL SMILE & SKEW (OPTIONS)</div> <div class="metric"> <span class="metric-label">ATM IV</span> <span class="metric-value">34.2%</span> </div> <div class="metric"> <span class="metric-label">25Δ Put IV</span> <span class="metric-value warn">42.8%</span> </div> <div class="metric"> <span class="metric-label">25Δ Call IV</span> <span class="metric-value">31.7%</span> </div> <div class="metric"> <span class="metric-label">Put/Call Skew</span> <span class="metric-value warn">+11.1%</span> </div> <div id="vol-smile-chart" style="height: 60px; margin-top: 2px;"></div> <div style="font-size: 6px; color: #0a0;">VOL SMILE (30D EXPIRY)</div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">RISK REV</div> <div style="color: #ff0; font-weight: bold;">+11.1%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">BUTTERFLY</div> <div style="color: #0f0; font-weight: bold;">2.4%</div> </div> </div> <div class="prediction"> <span class="prediction-label">SIGNAL:</span> <span class="prediction-value">Fat left tail = crash protection expensive</span> </div> </div>  <div class="panel" style="grid-column: span 2;"> <div class="panel-title">█ RISK DECOMPOSITION WATERFALL — PORTFOLIO VaR BREAKDOWN</div> <div id="risk-waterfall-chart" style="height: 140px;"></div> <div style="margin-top: 4px; display: grid; grid-template-columns: repeat(5, 1fr); gap: 3px; font-size: 7px;"> <div style="padding: 2px; background: #000a00; border: 1px solid #0f0;"> <span style="color: #0a0;">Total Portfolio VaR:</span><br> <span style="color: #f00; font-weight: bold;">$14,780</span><br> <span style="color: #0a0; font-size: 6px;">(99%, 1-day)</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Asset Risk:</span><br> <span style="color: #ff0; font-weight: bold;">$8,240</span><br> <span style="color: #0a0; font-size: 6px;">(55.7% contribution)</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Factor Risk:</span><br> <span style="color: #ff0; font-weight: bold;">$3,680</span><br> <span style="color: #0a0; font-size: 6px;">(24.9% contribution)</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #0a0;">Sector Risk:</span><br> <span style="color: #ff0; font-weight: bold;">$2,140</span><br> <span style="color: #0a0; font-size: 6px;">(14.5% contribution)</span> </div> <div style="padding: 2px; background: #000a00; border: 1px solid #0f0;"> <span style="color: #0a0;">Diversification Benefit:</span><br> <span style="color: #0f0; font-weight: bold;">-$720</span><br> <span style="color: #0a0; font-size: 6px;">(4.9% reduction)</span> </div> </div> <div style="margin-top: 4px; padding: 3px; background: #001a00; border: 1px solid #0f0; font-size: 7px; color: #0a0;"> <span style="color: #0f0; font-weight: bold;">RISK INSIGHTS:</span> Concentrated asset risk (55.7%) driven by BTC/ETH positions (high individual volatility). Factor exposure (24.9%) dominated by momentum beta (market-wide trend risk). Sector concentration (14.5%) from crypto L1 cluster (single-market dependency). <span style="color: #0f0;">GOOD:</span> Diversification benefit (-$720) shows some cross-asset offset. <span style="color: #ff0;">ACTION:</span> Consider hedging top 2 asset risks or reducing position size. </div> </div>  <div class="panel"> <div class="panel-title">█ ORDER BOOK</div> <div style="font-size: 7px; color: #0a0;">BTC/USD BID/ASK</div> <div style="display: grid; grid-template-columns: 1fr auto 1fr; gap: 2px; font-size: 6px; margin-top: 2px;"> <div style="text-align: right; color: #0f0;">BIDS</div> <div style="text-align: center; color: #0a0;">PRICE</div> <div style="text-align: left; color: #f00;">ASKS</div> </div> <div style="margin-top: 2px; font-size: 6px;"> <div style="display: grid; grid-template-columns: 35% 30% 35%; margin-bottom: 1px;"> <div class="cost-bar-bg" style="height: 8px;"><div class="cost-bar" style="width: 87%; background: #0f0;"></div></div> <div style="text-align: center; color: #0a0;">48,234</div> <div></div> </div> <div style="display: grid; grid-template-columns: 35% 30% 35%; margin-bottom: 1px;"> <div class="cost-bar-bg" style="height: 8px;"><div class="cost-bar" style="width: 72%; background: #0f0;"></div></div> <div style="text-align: center; color: #0a0;">48,233</div> <div></div> </div> <div style="height: 1px; background: #ff0; margin: 2px 0;"></div> <div style="display: grid; grid-template-columns: 35% 30% 35%; margin-bottom: 1px;"> <div></div> <div style="text-align: center; color: #0a0;">48,235</div> <div class="cost-bar-bg" style="height: 8px;"><div class="cost-bar" style="width: 81%; background: #f00;"></div></div> </div> <div style="display: grid; grid-template-columns: 35% 30% 35%; margin-bottom: 1px;"> <div></div> <div style="text-align: center; color: #0a0;">48,236</div> <div class="cost-bar-bg" style="height: 8px;"><div class="cost-bar" style="width: 65%; background: #f00;"></div></div> </div> </div> <div class="stats-grid" style="margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">BID</div> <div style="color: #0f0;">142</div> </div> <div class="stat-cell"> <div style="color: #0a0;">ASK</div> <div style="color: #f00;">138</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ NEWS FEED</div> <div style="height: 100px; overflow-y: auto; font-size: 6px; line-height: 1.2;"> <div style="padding: 2px; margin-bottom: 1px; background: #000a00; border-left: 2px solid #0f0;"> <span style="color: #0a0;">09:14</span> <span style="color: #0f0;">[+0.82]</span> <span style="color: #fff;">BTC ETF inflows $284M</span> </div> <div style="padding: 2px; margin-bottom: 1px; background: #000a00; border-left: 2px solid #0f0;"> <span style="color: #0a0;">09:12</span> <span style="color: #0f0;">[+0.67]</span> <span style="color: #fff;">Fed dovish pivot</span> </div> <div style="padding: 2px; margin-bottom: 1px; background: #000a00; border-left: 2px solid #f00;"> <span style="color: #0a0;">09:08</span> <span style="color: #f00;">[-0.54]</span> <span style="color: #fff;">ETH gas spike +340%</span> </div> <div style="padding: 2px; margin-bottom: 1px; background: #000a00; border-left: 2px solid #0f0;"> <span style="color: #0a0;">08:58</span> <span style="color: #0f0;">[+0.91]</span> <span style="color: #fff;">MSTR buys 7,420 BTC</span> </div> <div style="padding: 2px; margin-bottom: 1px; background: #000a00; border-left: 2px solid #f00;"> <span style="color: #0a0;">08:54</span> <span style="color: #f00;">[-0.78]</span> <span style="color: #fff;">Binance exploit $12M</span> </div> </div> <div class="metric"> <span class="metric-label">Avg Score</span> <span class="metric-value up">+0.37</span> </div> </div>  <div class="panel"> <div class="panel-title">█ SENTIMENT</div> <div style="font-size: 7px; color: #0a0;">SIGNAL MATRIX</div> <div id="sentiment-heatmap" style="height: 90px;"></div> <div style="font-size: 6px; color: #0a0;">NEWS•SOCIAL•FLOWS</div> <div class="stats-grid"> <div class="stat-cell"> <div style="color: #0a0;">BULL</div> <div style="color: #0f0; font-weight: bold;">67%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">BEAR</div> <div style="color: #f00;">33%</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ OPTIONS GREEKS</div> <div style="font-size: 7px; color: #0a0;">RISK PARAMETERS</div> <div style="font-size: 6px; margin-top: 2px;"> <div class="metric"> <span class="metric-label">Delta</span> <span class="metric-value">0.64</span> </div> <div class="metric"> <span class="metric-label">Gamma</span> <span class="metric-value warn">0.0084</span> </div> <div class="metric"> <span class="metric-label">Theta</span> <span class="metric-value down">-$12.40</span> </div> <div class="metric"> <span class="metric-label">Vega</span> <span class="metric-value">$24.80</span> </div> <div class="metric"> <span class="metric-label">Rho</span> <span class="metric-value">$8.20</span> </div> </div> <div id="greeks-sparkline" style="height: 25px;"></div> </div>  <div class="panel"> <div class="panel-title">█ VOL SURFACE</div> <div style="font-size: 7px; color: #0a0;">IMPLIED VOL SMILE (3D)</div> <div id="vol-surface-chart" style="height: 95px; margin-top: 2px;"></div> <div class="stats-grid" style="font-size: 6px;"> <div class="stat-cell"> <div style="color: #0a0;">ATM Vol</div> <div style="color: #ff0; font-weight: bold;">42.3%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">Skew</div> <div style="color: #f00;">-3.8%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">Convexity</div> <div style="color: #0f0;">+0.24</div> </div> </div> <div style="font-size: 6px; margin-top: 2px; color: #0a0; padding: 2px; background: #000a00; border: 1px solid #0a0;"> <span style="color: #ff0; font-weight: bold;">INSIGHT:</span> Put skew elevated (fear premium). Downside protection expensive. Consider ratio spreads. </div> </div>  <div class="panel"> <div class="panel-title">█ TRADE BLOTTER</div> <div style="font-size: 7px; color: #0a0;">REAL-TIME EXECUTIONS</div> <div style="height: 95px; overflow-y: auto; font-size: 6px; line-height: 1.2; margin-top: 2px;"> <table style="width: 100%; border-collapse: collapse;"> <tr style="background: #001a00; border-bottom: 1px solid #0a0;"> <th style="text-align: left; padding: 1px; color: #0f0;">TIME</th> <th style="text-align: left; padding: 1px; color: #0f0;">SIDE</th> <th style="text-align: right; padding: 1px; color: #0f0;">SIZE</th> <th style="text-align: right; padding: 1px; color: #0f0;">PRICE</th> <th style="text-align: right; padding: 1px; color: #0f0;">SLIP</th> </tr> <tr style="border-bottom: 1px solid #0a0;"> <td style="padding: 1px; color: #0a0;">10:19:47</td> <td style="padding: 1px; color: #0f0; font-weight: bold;">BUY</td> <td style="padding: 1px; text-align: right; color: #fff;">2.47</td> <td style="padding: 1px; text-align: right; color: #fff;">48,234</td> <td style="padding: 1px; text-align: right; color: #0f0;">+0.8</td> </tr> <tr style="border-bottom: 1px solid #0a0;"> <td style="padding: 1px; color: #0a0;">10:19:42</td> <td style="padding: 1px; color: #f00; font-weight: bold;">SELL</td> <td style="padding: 1px; text-align: right; color: #fff;">1.89</td> <td style="padding: 1px; text-align: right; color: #fff;">48,231</td> <td style="padding: 1px; text-align: right; color: #0f0;">+1.2</td> </tr> <tr style="border-bottom: 1px solid #0a0;"> <td style="padding: 1px; color: #0a0;">10:19:38</td> <td style="padding: 1px; color: #0f0; font-weight: bold;">BUY</td> <td style="padding: 1px; text-align: right; color: #fff;">3.12</td> <td style="padding: 1px; text-align: right; color: #fff;">48,229</td> <td style="padding: 1px; text-align: right; color: #f00;">-2.3</td> </tr> <tr style="border-bottom: 1px solid #0a0;"> <td style="padding: 1px; color: #0a0;">10:19:31</td> <td style="padding: 1px; color: #f00; font-weight: bold;">SELL</td> <td style="padding: 1px; text-align: right; color: #fff;">0.84</td> <td style="padding: 1px; text-align: right; color: #fff;">48,227</td> <td style="padding: 1px; text-align: right; color: #0f0;">+0.4</td> </tr> <tr style="border-bottom: 1px solid #0a0;"> <td style="padding: 1px; color: #0a0;">10:19:24</td> <td style="padding: 1px; color: #0f0; font-weight: bold;">BUY</td> <td style="padding: 1px; text-align: right; color: #fff;">4.73</td> <td style="padding: 1px; text-align: right; color: #fff;">48,224</td> <td style="padding: 1px; text-align: right; color: #f00;">-1.8</td> </tr> <tr style="border-bottom: 1px solid #0a0;"> <td style="padding: 1px; color: #0a0;">10:19:18</td> <td style="padding: 1px; color: #0f0; font-weight: bold;">BUY</td> <td style="padding: 1px; text-align: right; color: #fff;">1.56</td> <td style="padding: 1px; text-align: right; color: #fff;">48,221</td> <td style="padding: 1px; text-align: right; color: #0f0;">+0.6</td> </tr> </table> </div> <div class="stats-grid" style="font-size: 6px; margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">Avg Slip</div> <div style="color: #ff0;">-0.2 bps</div> </div> <div class="stat-cell"> <div style="color: #0a0;">Fill Rate</div> <div style="color: #0f0; font-weight: bold;">98.7%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">Trades/min</div> <div style="color: #fff;">8.4</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ POSITION SIZING</div> <div style="font-size: 7px; color: #0a0;">KELLY CRITERION + RISK PARITY</div> <div style="font-size: 6px; margin-top: 2px;"> <div class="metric"> <span class="metric-label">Full Kelly</span> <span class="metric-value warn">18.6%</span> </div> <div class="metric"> <span class="metric-label">Half Kelly (Rec)</span> <span class="metric-value up">9.3%</span> </div> <div class="metric"> <span class="metric-label">Current Position</span> <span class="metric-value down">12.4%</span> </div> <div class="metric"> <span class="metric-label">Overweight</span> <span class="metric-value critical">+3.1%</span> </div> </div> <div class="cost-bar-bg" style="height: 12px; margin-top: 3px;"> <div class="cost-bar" style="width: 50%; background: #0f0; opacity: 0.7;"></div> <div class="cost-bar" style="width: 66.7%; background: #ff0; opacity: 0.5; position: absolute; left: 0; top: 0;"></div> </div> <div style="font-size: 6px; margin-top: 2px; color: #0a0;"> <span style="color: #0f0;">█</span> Half Kelly (safe) <span style="color: #ff0;">█</span> Current (risky) </div> <div style="font-size: 6px; margin-top: 3px; padding: 2px; background: #001a00; border: 1px solid #f00;"> <span style="color: #f00; font-weight: bold;">⚠️ RISK:</span> Overleveraged by 3.1%. Reduce position to 9.3% (half-Kelly). Win prob: 64.8%, R:R 2.1:1. </div> <div class="stats-grid" style="font-size: 6px; margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">Win Rate</div> <div style="color: #0f0;">64.8%</div> </div> <div class="stat-cell"> <div style="color: #0a0;">R:R Ratio</div> <div style="color: #0f0;">2.1:1</div> </div> <div class="stat-cell"> <div style="color: #0a0;">Edge</div> <div style="color: #0f0;">+8.4%</div> </div> </div> </div>  <div class="panel"> <div class="panel-title">█ CORRELATION NET</div> <div style="font-size: 7px; color: #0a0;">ASSET RELATIONSHIPS</div> <div id="correlation-chart" style="height: 85px; margin-top: 2px;"></div> <div class="stats-grid" style="font-size: 6px; margin-top: 2px;"> <div class="stat-cell"> <div style="color: #0a0;">BTC-ETH</div> <div style="color: #0f0; font-weight: bold;">+0.87</div> </div> <div class="stat-cell"> <div style="color: #0a0;">BTC-SOL</div> <div style="color: #0f0;">+0.72</div> </div> <div class="stat-cell"> <div style="color: #0a0;">ETH-SOL</div> <div style="color: #0f0;">+0.68</div> </div> </div> <div class="stats-grid" style="font-size: 6px;"> <div class="stat-cell"> <div style="color: #0a0;">BTC-USDT</div> <div style="color: #ff0;">-0.12</div> </div> <div class="stat-cell"> <div style="color: #0a0;">Avg Corr</div> <div style="color: #ff0;">+0.54</div> </div> <div class="stat-cell"> <div style="color: #0a0;">Cluster</div> <div style="color: #f00;">L1 Risk</div> </div> </div> <div style="font-size: 6px; margin-top: 2px; color: #0a0; padding: 2px; background: #000a00; border: 1px solid #ff0;"> <span style="color: #ff0; font-weight: bold;">WARNING:</span> High BTC-ETH correlation (0.87). Portfolio lacks diversification. Consider adding uncorrelated assets (commodities, DeFi yield). </div> </div> </div> <div class="panel"> <div class="panel-title">█ ECONOMIC CALENDAR</div> <div class="event-row critical"> <span class="event-time">Mar 5 14:00</span> <span class="event-name">FOMC Rate Decision</span> <span class="event-impact critical">HIGH</span> </div> <div class="event-row warning"> <span class="event-time">Mar 7 08:30</span> <span class="event-name">NFP Employment</span> <span class="event-impact warning">MED</span> </div> <div class="event-row"> <span class="event-time">Mar 12 08:30</span> <span class="event-name">CPI Inflation</span> <span class="event-impact">LOW</span> </div> <div class="event-row warning"> <span class="event-time">Mar 14 14:00</span> <span class="event-name">Retail Sales</span> <span class="event-impact warning">MED</span> </div> <div class="event-row"> <span class="event-time">Mar 19 10:00</span> <span class="event-name">Housing Starts</span> <span class="event-impact">LOW</span> </div> <div class="stat-row" style="margin-top: 4px; border-top: 1px solid #0a0;"> <span class="label">Vol Premium:</span> <span class="value warning">+2.4%</span> </div> <div class="chart-container" id="econ-impact-chart" style="height: 25px;"></div> </div> <div class="panel"> <div class="panel-title">█ FUNDING RATES</div> <div class="stat-row"> <span class="label">BTC Perp:</span> <span class="value" style="color: #f00;">-0.014%</span> </div> <div class="stat-row"> <span class="label">ETH Perp:</span> <span class="value" style="color: #f00;">-0.008%</span> </div> <div class="stat-row"> <span class="label">SOL Perp:</span> <span class="value" style="color: #0f0;">+0.012%</span> </div> <div class="stat-row"> <span class="label">ARB Perp:</span> <span class="value" style="color: #ff0;">-0.002%</span> </div> <div class="stat-row" style="margin-top: 4px; border-top: 1px solid #0a0;"> <span class="label">8h Cost:</span> <span class="value">$1,247</span> </div> <div class="chart-container" id="funding-spark" style="height: 25px;"></div> </div> <div class="panel"> <div class="panel-title">█ LIQUIDITY HEATMAP</div> <div class="liquidity-row"> <span class="liq-level" style="width: 25%; background: #0f0;">$95K</span> <span class="liq-level" style="width: 40%; background: #0a0;">$96K</span> <span class="liq-level" style="width: 20%; background: #ff0;">$97K</span> <span class="liq-level" style="width: 15%; background: #0a0;">$98K</span> </div> <div class="liquidity-row"> <span class="liq-level" style="width: 18%; background: #0a0;">$99K</span> <span class="liq-level" style="width: 45%; background: #ff0;">$100K</span> <span class="liq-level" style="width: 30%; background: #0a0;">$101K</span> <span class="liq-level" style="width: 7%; background: #f00;">$102K</span> </div> <div class="stat-row" style="margin-top: 4px;"> <span class="label">Spread:</span> <span class="value" style="color: #0f0;">0.006%</span> </div> <div class="stat-row"> <span class="label">Depth:</span> <span class="value">$24.7M</span> </div> <div class="stat-row"> <span class="label">Imbalance:</span> <span class="value" style="color: #0f0;">+2.9% bid</span> </div> <div class="chart-container" id="liq-depth-chart" style="height: 25px;"></div> </div> <div class="ticker"> <span class="ticker-item">█ v2.6.0: ECON CALENDAR + FUNDING RATES + LIQUIDITY HEATMAP + VOL SURFACE + TRADE BLOTTER + POSITION SIZING (44 panels, 57+ charts, 63+ sparklines, 720+ info displays)</span> <span class="ticker-item">█ Backtesting: +34.7% return (90d), Sharpe 2.47, 64.8% win rate</span> <span class="ticker-item">█ Slippage: Optimal order size $24K-$32K, saving $847/day</span> <span class="ticker-item">█ Regime: BULL mode (87.4% conf), 14 days duration, momentum favorable</span> <span class="ticker-item critical">⚠️ Position Sizing: Over-leveraged by 3.1%, reduce to 9.3% (half-Kelly)</span> <span class="ticker-item">█ v1.7.0: Trade execution analytics — 98.4% fill rate, 2.3 bps slippage</span> <span class="ticker-item">█ Portfolio Risk: 1D VaR $8,240 (95%), Sharpe 2.18, β 1.24</span> <span class="ticker-item">█ Alpha Decay: Current +4.2%, decay rate -0.08%/day, half-life 32 days</span> <span class="ticker-item">█ Order Book: Bid wall dominance +2.9%, tight spread 0.006%</span> <span class="ticker-item">█ News: Bullish sentiment 67%, ETF inflows strong</span> <span class="ticker-item">█ Engineering deploys: +12% velocity week-over-week</span> <span class="ticker-item">█ Marketing: Newsletter conversion rate improved to 2.1%</span> <span class="ticker-item critical">WARNING: 3 open vulnerabilities require attention</span> <span class="ticker-item">█ Intelligence: 461 threats tracked across 86 sources</span> <span class="ticker-item">█ Operations: Server uptime 99.94% (industry leading)</span> <span class="ticker-item">█ Anomaly detection: Next outlier predicted in ~2.1h (87% confidence)</span> </div> </body> </html>