FIML - Financial Intelligence Meta-Layer¶

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║          🚀 FIML LIVE SYSTEM DEMONSTRATION 🚀                  ║
║                                                                ║
║  Financial Intelligence Meta-Layer v0.3.0                     ║
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🏥 SECTION 1: System & Provider Health
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💚 System Health Check
────────────────────────────────────────────────────────────
  Validates: API server status, version, and environment configuration
  Status:      HEALTHY
  Version:     0.3.0
  Environment: development

🗄️ Database Health
────────────────────────────────────────────────────────────
  Validates: PostgreSQL/TimescaleDB connection for L2 cache persistence
  Status:   HEALTHY
  Service:  postgresql
  Host:     postgres:5432
  Database: fiml

📦 Cache Health (Redis)
────────────────────────────────────────────────────────────
  Validates: Redis connection for L1 cache (10-100ms target latency)
  Status:  HEALTHY
  Service: redis
  Host:    redis:6379

🔌 Provider Health Status
────────────────────────────────────────────────────────────
  Validates: All 17 data providers (Yahoo, FMP, Alpha Vantage, CCXT exchanges)
  Overall Status: DEGRADED
  Total Providers:   17
  Healthy Providers: 15

  Provider Details:
    ● mock_provider   Latency:     10ms  Success: 100.0%
    ● yahoo_finance   Latency:    150ms  Success: 100.0%
    ● alpha_vantage   Latency:    100ms  Success: 100.0%
    ● fmp             Latency:    387ms  Success: 100.0%
    ● ccxt_kraken     Latency:     50ms  Success: 100.0%

📊 Cache Analytics
────────────────────────────────────────────────────────────
  Validates: L1/L2 cache hit rates, latencies, and overall performance
  L1 Cache (Redis):
    Hit Rate:     0.0%
    Avg Latency:  0.00ms
    Total Hits:   0
    Total Misses: 0

  L2 Cache (PostgreSQL):
    Hit Rate:     0.0%
    Avg Latency:  0.00ms
  ⏱  Completed in 2.78s

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📈 SECTION 2: Basic Queries with Narratives
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🍎 Stock Query with Narrative (AAPL - Standard Depth)
────────────────────────────────────────────────────────────
  Validates: search-by-symbol MCP tool, US equity data fetch, AI narrative
  Symbol:          AAPL
  Market:          US
  Price:           $277.55
  Change:          +0.58 (+0.20941%)
  Source:          fmp
  Confidence:      97%
  Analysis Depth:  N/A

  Narrative Summary:
    Apple (AAPL) at $277.55 reflects a steady, not breakout, advance amid average-to-slightly-elevated volume, suggesting ongoing institutional participation but no extreme risk-on or risk-off shift. Tech...

₿ Cryptocurrency Query with Metrics (BTC)
────────────────────────────────────────────────────────────
  Validates: search-by-coin MCP tool, CCXT crypto exchange data fetch
  Symbol:   BTC
  Pair:     BTC/USDT
  Exchange: binance
  Price:    $91,370.00
  Change:   +3.0486009999221806%
  Source:   ccxt_okx

📊 Multi-Depth Comparison Demo
────────────────────────────────────────────────────────────
  Validates: Analysis depth levels (quick/standard/deep) with varying detail
  Comparing analysis depths for TSLA...

  Quick Depth:
    Price: $426.58
    Fields: Basic price data only

  Standard Depth:
    Price:      $426.58
    Market Cap: $1,418,727,940,259
    PE Ratio:   N/A
    Fields:     Price + Fundamentals + Technicals + Basic narrative
    Narrative:  Yes

  Deep Depth:
    Price:      $426.58
    Sector:     None
    Beta:       1.834944
    Fields:     Full analysis + Deep Fundamentals + Sentiment + Comprehensive narrative
    Narrative:  Yes (1 sections)
    Summary:    Tesla (TSLA), at $426.58 (+1.71%), is showing constructive buying interest with a solid single-day m...
  ⏱  Completed in 103.18s

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🔮 SECTION 3: FK-DSL Query Language
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▶️ Simple EVALUATE Query
────────────────────────────────────────────────────────────
  Validates: Basic FK-DSL EVALUATE syntax for single asset metrics
  Query: EVALUATE AAPL: PRICE, VOLUME
  Status: completed

  Execution Results:
    7ae5b91b-dfe9-4866-85a8-59deda682874: {"symbol": "AAPL", "price": 150.25, "change": 2.5, "change_p...
    e1669b71-c552-4223-956f-4fce9231a9fe: [{'time': '2024-01-01', 'open': 150.0, 'high': 155.0, 'low': 147.0, 'close': 152.0, 'volume': 1000000}, {'time': '2024-01-02', 'open': 151.0, 'high': 156.0, 'low': 148.0, 'close': 153.0, 'volume': 1100000}, {'time': '2024-01-03', 'open': 152.0, 'high': 157.0, 'low': 149.0, 'close': 154.0, 'volume': 1200000}, {'time': '2024-01-04', 'open': 153.0, 'high': 158.0, 'low': 150.0, 'close': 155.0, 'volume': 1300000}, {'time': '2024-01-05', 'open': 154.0, 'high': 159.0, 'low': 151.0, 'close': 156.0, 'volume': 1400000}, {'time': '2024-01-06', 'open': 155.0, 'high': 160.0, 'low': 152.0, 'close': 157.0, 'volume': 1500000}, {'time': '2024-01-07', 'open': 156.0, 'high': 161.0, 'low': 153.0, 'close': 158.0, 'volume': 1600000}, {'time': '2024-01-08', 'open': 157.0, 'high': 162.0, 'low': 154.0, 'close': 159.0, 'volume': 1700000}, {'time': '2024-01-09', 'open': 158.0, 'high': 163.0, 'low': 155.0, 'close': 160.0, 'volume': 1800000}, {'time': '2024-01-10', 'open': 159.0, 'high': 164.0, 'low': 156.0, 'close': 161.0, 'volume': 1900000}]

📊 Multi-Asset COMPARE Query
────────────────────────────────────────────────────────────
  Validates: FK-DSL COMPARE syntax for multi-asset fundamental comparison
  Query: COMPARE AAPL, MSFT, GOOGL BY PE, MARKETCAP
  Status: completed

  Comparison Results:
    4c6d5560-a93e-434b-b097-b1e01b359b54: {'pe_ratio': 25.5, 'eps': 6.12, 'market_cap': 2500000000000, 'revenue': 380000000000, 'profit_margin': 0.24, 'roe': 0.45, 'debt_to_equity': 1.5, 'dividend_yield': 0.005}
    82298643-86af-40a5-993d-6bd6e3c35464: {'pe_ratio': 25.5, 'eps': 6.12, 'market_cap': 2500000000000, 'revenue': 380000000000, 'profit_margin': 0.24, 'roe': 0.45, 'debt_to_equity': 1.5, 'dividend_yield': 0.005}
    fdb1b7bc-2869-4fb0-a9b7-a23da94c07ad: {'pe_ratio': 25.5, 'eps': 6.12, 'market_cap': 2500000000000, 'revenue': 380000000000, 'profit_margin': 0.24, 'roe': 0.45, 'debt_to_equity': 1.5, 'dividend_yield': 0.005}
    e27f3a4a-070f-4db2-b032-2870168a6fb0: {'comparison': [{'asset': "{'filter': {'type': 'symbol', 'value': 'AAPL'}, 'market': None}", 'pe': 30.2, 'eps': 8.45}, {'asset': "{'filter': {'type': 'symbol', 'value': 'MSFT'}, 'market': None}", 'pe': 30.2, 'eps': 8.45}, {'asset': "{'filter': {'type': 'symbol', 'value': 'GOOGL'}, 'market': None}", 'pe': 30.2, 'eps': 8.45}], 'metrics': [{'category': 'fundamental', 'name': 'pe'}, {'category': 'price', 'name': 'marketcap'}]}

🔗 Correlation Analysis
────────────────────────────────────────────────────────────
  Validates: FK-DSL CORRELATE syntax for cross-asset correlation
  Query: CORRELATE BTC WITH ETH, SPY WINDOW 30d
  Status: completed

  Correlation Analysis:

🔍 Complex SCAN Query
────────────────────────────────────────────────────────────
  Validates: FK-DSL SCAN syntax for market screening with conditions
  Query: SCAN US_TECH WHERE PE < 30 AND VOLUME > 1000000
  Status: completed

  Market Scan Results:
    Matches Found: 0
  ⏱  Completed in 1.98s

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📋 SECTION 4: Session Management
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➕ Create Analysis Session
────────────────────────────────────────────────────────────
  Validates: Session creation with portfolio assets, TTL, and tags
  Status:     SUCCESS
  Session ID: 599fcd7e-e2ed-4a02-90d1-69d7330fc13e
  Type:       portfolio
  Assets:     AAPL, TSLA, BTC
  TTL:        24 hours
  Tags:       demo, live-test
  Expires:    2025-11-28T17:30:37.325394+00:00

🔍 Query Within Session Context
────────────────────────────────────────────────────────────
  Querying AAPL within session context...
  Session-aware query completed
  Symbol: AAPL
  Price:  $277.55

📊 Session Analytics
────────────────────────────────────────────────────────────
  Total Sessions:      2
  Active Sessions:     2
  Archived Sessions:   0
  Total Queries:       2
  Avg Duration:        0s
  Queries/Session:     1.0
  ⏱  Completed in 0.32s

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⚖️ SECTION 5: Provider Arbitration
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🔍 Data Lineage Example
────────────────────────────────────────────────────────────
  Validates: Data source tracking, confidence scoring, cache status
  Showing data source tracking for AAPL query...
  Data Lineage:
    Source Provider:  finnhub
    Confidence Score: 96%
    Cache Status:     MISS
    Timestamp:        N/A

🎯 Provider Selection Demo
────────────────────────────────────────────────────────────
  Validates: Provider arbitration ranking using 5-factor scoring algorithm
  Demonstrating intelligent provider selection...
  Provider Selection Ranking:
  -------------------------------------------------------
  Provider                Score    Latency    Success
  -------------------------------------------------------
  → mock_provider         10.00       10ms     100.0%
    ccxt_kraken           10.00       50ms     100.0%
    ccxt_kucoin           10.00       50ms     100.0%
    ccxt_okx              10.00       50ms     100.0%
    polygon               10.00       80ms     100.0%
  -------------------------------------------------------
  → = Selected as primary provider
  ⏱  Completed in 2.40s

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⚡ SECTION 6: Performance Metrics
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💾 Cache Performance
────────────────────────────────────────────────────────────
  Validates: L1 (Redis) and L2 (PostgreSQL) cache hit rates and latencies
  Overall Cache Performance:
    Combined Hit Rate:    0.0%
    Total Requests:       7

  L1 Cache (Redis - Fast):
    Hit Rate:    42.9%
    Avg Latency: 0.00ms
    P95 Latency: 0.00ms

  L2 Cache (PostgreSQL - Durable):
    Hit Rate:    0.0%
    Avg Latency: 0.00ms

📶 Provider Latency Comparison
────────────────────────────────────────────────────────────
  Validates: Provider response times ranked by P95 latency
  Provider Latency Ranking:
    ccxt_gateio          0ms 
    ccxt_bitget          0ms 
    mock_provider       10ms █
    ccxt_kraken         50ms ██████
    ccxt_kucoin         50ms ██████
    ccxt_okx            50ms ██████
    polygon             80ms █████████
    fmp                 83ms █████████

🔬 Ray Cluster Status
────────────────────────────────────────────────────────────
  Validates: Ray multi-agent orchestration cluster health
  ======== Autoscaler status: 2025-11-27 09:30:48.221072 ========
  Node status
  ---------------------------------------------------------------
  Active:
  1 node_a14f09ee76638070a1408eb981854ea836498065214224c84ee23546
  1 node_0c01c817b5e8594ee70c48dd9780ec211eebcc910d9a4adaf2ed19a6
  1 node_48113649747e6c1a7e866bafe86b10766a80b3fe9370f603f4d42381
  Pending:
  (no pending nodes)
  Recent failures:
  (no failures)

  Resources
  ---------------------------------------------------------------
  Total Usage:

📝 Task Registry Status
────────────────────────────────────────────────────────────
  Validates: Async task execution, completion rates, and task types
  Total Tasks:     7
  Active Tasks:    0
  Completed:       0
  Failed:          0
  ⏱  Completed in 9.62s

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🔭 SECTION 7: Monitoring & Observability
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👁️ Watchdog Health Monitor
────────────────────────────────────────────────────────────
  Validates: System-wide health monitoring and component status tracking
  Overall Health: UNKNOWN

📈 Performance Monitoring
────────────────────────────────────────────────────────────
  Validates: Request statistics, success rates, and endpoint metrics

✍️ Narrative Generation Capability
────────────────────────────────────────────────────────────
  Validates: Azure OpenAI integration, AI narrative generation, compliance
  Demonstrating AI-powered narrative generation...
  ✓ Narrative Engine Active

  Summary:
    Microsoft (MSFT), currently around $485.50 and up 1.78% on
    strong volume, continues to demonstrate robust institutional
    demand at elevated valuations. Technically, the stock’s price
    action confirms a durable uptrend, with buyers consistently
    supporting pullbacks and momentum favoring further upside.
    ...

  Sections Generated: 1
    • Market Context (market_context) - Confidence: 95%

  Key Insights:
    • MSFT is trading at $485.50, up 1.78% on the session, reflecting strong...
    • Current trading volume of 25.66M shares is substantial and broadly con...
    • The stock is trading near record territory based on recent market hist...

🔧 MCP Tool Discovery
────────────────────────────────────────────────────────────
  Validates: MCP protocol tool registry and API integration points
  Available MCP Tools (v0.3.0):
  Total Available Tools: 9

  ------------------------------------------------------------
  Tool Name                      Description                 
  ------------------------------------------------------------
  search-by-symbol               Search for a stock by symbol with instant cac...
  search-by-coin                 Search for cryptocurrency with instant cached...
  get-task-status                Poll or stream updates for an async analysis ...
  execute-fk-dsl                 Execute a Financial Knowledge DSL query for c...
  create-analysis-session        Create a new analysis session for tracking mu...
  get-session-info               Get information about an existing session...
  list-sessions                  List sessions for a user...
  extend-session                 Extend session expiration time...
  get-session-analytics          Get session analytics and statistics...
  ------------------------------------------------------------

  Session Management Tools:
    • create-analysis-session
    • get-session-info
    • list-sessions
    • extend-session
    • get-session-analytics
  ⏱  Completed in 38.45s

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🛡️ SECTION 8: v0.3.0 Compliance Guardrail Layer
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🌍 Multilingual Compliance Support
────────────────────────────────────────────────────────────
  Demonstrating compliance guardrail with multilingual support...

  Supported Languages (9 total):
    • English (en)    - Full support with comprehensive patterns
    • Spanish (es)    - Prescriptive verbs, advice patterns, disclaimers
    • French (fr)     - Prescriptive verbs, advice patterns, disclaimers
    • German (de)     - Prescriptive verbs, advice patterns, disclaimers
    • Italian (it)    - Prescriptive verbs, advice patterns, disclaimers
    • Portuguese (pt) - Prescriptive verbs, advice patterns, disclaimers
    • Japanese (ja)   - Script detection, advice patterns, disclaimers
    • Chinese (zh)    - Script detection, advice patterns, disclaimers
    • Farsi/Persian (fa) - Script detection, advice patterns, disclaimers

⚡ Guardrail Capabilities
────────────────────────────────────────────────────────────
  Output Scanning Features:
    • Prescriptive Verb Detection  - Detects 'should', 'must', 'recommend', etc.
    • Advice Pattern Matching      - Context-aware pattern matching
    • Opinion-as-Fact Detection    - Identifies subjective claims as facts
    • Certainty Language Blocking  - Prevents absolute predictions

  Compliance Actions:
    PASSED   - Content is compliant without modifications
    MODIFIED - Content was modified to be compliant
    BLOCKED  - Content blocked due to severe violations (strict mode)

  Automatic Features:
    • Automatic language detection (script-based for CJK/Arabic)
    • Region-appropriate disclaimer generation
    • Asset-class specific compliance requirements
    • Post-replacement grammar cleanup

🔄 Guardrail Demo - English Advice Conversion
────────────────────────────────────────────────────────────
  Testing compliance processing with sample advice content...
  ✓ Compliance-Filtered Narrative Generated

  Compliance Confidence: 95%
  Disclaimer Present: Verify in full output

  Compliance-Filtered Summary (first 200 chars):
    Nvidia (NVDA) continues to trade with strong momentum at
    $180.26, supported by elevated volume that underscores
    robust institutional participation rather than
    speculative excess. Technically, the stoc
    ...

📋 Compliance Pattern Categories
────────────────────────────────────────────────────────────
  Prescriptive Verb Examples (converted to descriptive):
    ✗ 'You should buy AAPL'     →  ✓ 'Purchasing options are available'
    ✗ 'Must sell before drop'   →  ✓ 'Selling is possible for this asset'
    ✗ 'I recommend investing'   →  ✓ 'Investment options exist'

  Certainty Language Examples (converted to historical):
    ✗ 'Will definitely rise'    →  ✓ 'Has historically shown rise patterns'
    ✗ 'Guaranteed returns'      →  ✓ 'Potential returns (not guaranteed)'
    ✗ 'Sure to succeed'         →  ✓ 'Has historical patterns of success'

  Opinion-as-Fact Examples (converted to analytical):
    ✗ 'This is undervalued'     →  ✓ 'Has metrics some analysts consider relevant'
    ✗ 'Easy money opportunity'  →  ✓ 'A trading opportunity exists'
    ✗ 'Risk-free investment'    →  ✓ 'An option with associated risks'

✅ v0.3.0 Test Suite Summary
────────────────────────────────────────────────────────────
  Guardrail Test Coverage:
    91  guardrail-specific tests
    163 total compliance-related tests
    0   CodeQL security alerts

  Components Tested:
    • ComplianceGuardrail class
    • MultilingualPatterns for all 9 languages
    • GuardrailResult with detected language field
    • NarrativeValidator integration
    • Grammar cleanup post-replacement
  ⏱  Completed in 37.18s

╔════════════════════════════════════════════════════════════════╗
║                    ✅ DEMO COMPLETE ✅                          ║
╠════════════════════════════════════════════════════════════════╣
║                                                                ║
║  Total Duration: 195.96s                                       ║
║                                                                ║
║  Core Endpoints:                                              ║
║    API Server:    http://localhost:8000                         ║
║    API Docs:       http://localhost:8000/docs                    ║
║    Health:         http://localhost:8000/health                  ║
║    MCP Tools:      http://localhost:8000/mcp/tools               ║
║                                                                ║
║  v0.3.0 Metrics & Monitoring:                                 ║
║    Prometheus:     http://localhost:8000/metrics                 ║
║    Cache:          http://localhost:8000/api/metrics/cache       ║
║    Watchdog:       http://localhost:8000/api/metrics/watchdog    ║
║    Performance:    http://localhost:8000/api/metrics/performance ║
║    Tasks:          http://localhost:8000/api/metrics/tasks       ║
║                                                                ║
║  v0.3.0 Compliance Guardrail:                                 ║
║    Languages:     9 supported (EN, ES, FR, DE, IT, PT, JA, ZH, FA) ║
║    Features:      Advice removal, prescriptive verb blocking  ║
║    Auto:          Language detection, disclaimers          ║
║                                                                ║
║  For comprehensive testing, run:                              ║
║    ./scripts/test_live_system.sh                               ║
║                                                                ║
╚════════════════════════════════════════════════════════════════╝

╔════════════════════════════════════════════════════════════════════════════════╗
║         🌟 FIML BLUEPRINT CAPABILITIES DEMONSTRATION 🌟                        ║
║                                                                                ║
║  Financial Intelligence Meta-Layer - 10-Year Architecture Vision             ║
║  Version 0.3.0 - Phase 1 Complete                                              ║
╚════════════════════════════════════════════════════════════════════════════════╝


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🏗️ SECTION 1: System Architecture Overview
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📊 High-Level Architecture
────────────────────────────────────────────────────────────────────────────────
  Validating FIML's 5-layer architecture from blueprint...

  Architecture Layers (Blueprint Section 1.1):

  ┌─────────────────────────────────────────────────────────────────┐
  │  CLIENT LAYER        - ChatGPT, Claude, Custom Apps, Telegram   │
  ├─────────────────────────────────────────────────────────────────┤
  │  MCP API GATEWAY     - Request Router, Auth, Rate Limiter      │
  ├─────────────────────────────────────────────────────────────────┤
  │  CORE INTELLIGENCE   - FK-DSL Parser, Session Store, Compliance │
  ├─────────────────────────────────────────────────────────────────┤
  │  ARBITRATION ENGINE  - Health Monitor, Latency Optimizer       │
  ├─────────────────────────────────────────────────────────────────┤
  │  MULTI-AGENT ORCH    - Fundamentals, Technical, Macro, Sentiment│
  ├─────────────────────────────────────────────────────────────────┤
  │  CACHE LAYER         - L1 Redis (10-100ms), L2 PostgreSQL     │
  ├─────────────────────────────────────────────────────────────────┤
  │  DATA PROVIDERS      - Yahoo, FMP, Alpha Vantage, CCXT (17+)   │
  └─────────────────────────────────────────────────────────────────┘


🔧 Technology Stack Verification
────────────────────────────────────────────────────────────────────────────────
  Verifying Blueprint Section 1.2 technology stack...
  Core MCP Server:      ACTIVE (v0.3.0)
  Language:             Python 3.11+ (asyncio-native)
  Framework:            FastAPI + Starlette
  Protocol:             MCP (Model Context Protocol)
  Environment:          development
  L2 Cache (PostgreSQL): CONNECTED (TimescaleDB)
  L1 Cache (Redis):      CONNECTED (10-100ms target)
  ✓ Orchestration: Ray (distributed Python framework)
  ✓ Task Queue: Celery with Redis broker
  ✓ Event Stream: Apache Kafka / Redis Streams
  ⏱  Section completed in 0.11s

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⚖️ SECTION 2: Data Arbitration Engine - The Crown Jewel
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📈 Provider Scoring Algorithm (Blueprint 2.2)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating 5-factor provider scoring (Freshness, Latency, Uptime, Completeness, Reliability)

  Scoring Weights (Blueprint 2.2):
    ● Freshness:   30% - Data age vs max acceptable age
    ● Latency:     25% - Response time by region
    ● Uptime:      20% - Provider availability (24h)
    ● Completeness:15% - Fields present vs requested
    ● Reliability: 10% - Historical success rate

  Live Provider Arbitration Scores:
  ──────────────────────────────────────────────────────────────────────
  Provider              Score    Latency    Success     Health
  ──────────────────────────────────────────────────────────────────────
  → mock_provider       100.0       10ms     100.0% ✓
    ccxt_kraken          99.8       50ms     100.0% ✓
    ccxt_kucoin          99.8       50ms     100.0% ✓
    ccxt_okx             99.8       50ms     100.0% ✓
    polygon              99.6       80ms     100.0% ✓
    twelvedata           99.5      100ms     100.0% ✓
    tiingo               99.5      110ms     100.0% ✓
    finnhub              99.4      120ms     100.0% ✓
  ──────────────────────────────────────────────────────────────────────
  → = Primary provider selected by arbitration engine

🔄 Auto-Fallback Strategy Demo (Blueprint 2.3)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating automatic provider fallback mechanism...
  Auto-Fallback Execution Result:
    Primary Provider:    finnhub
    Confidence Score:    96%
    Cache Status:        MISS
    Response Valid:      ✓ Yes

    Fallback chain (if primary fails):
      1. Try primary provider with timeout
      2. Validate response freshness
      3. Auto-fallback to next ranked provider
      4. Record failure metrics
  ⏱  Section completed in 8.46s

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🔮 SECTION 3: Financial Knowledge DSL (FK-DSL)
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📖 FK-DSL Grammar Overview (Blueprint 4.1)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating the domain-specific language for complex financial queries...

  Supported Query Types:
    EVALUATE   - Comprehensive single-asset analysis
    COMPARE    - Multi-asset comparison on metrics
    MACRO      - Macro-economic impact analysis
    CORRELATE  - Cross-asset correlation study
    SCAN       - Market screening with conditions


▶️ EVALUATE Query Demo (Blueprint 4.2 Example 1)
────────────────────────────────────────────────────────────────────────────────
  Query: EVALUATE TSLA: PRICE, VOLATILITY(30d), CORRELATE(BTC, SPY)
  Execution Status: COMPLETED

  Execution Plan (Blueprint 4.2):
    Step 1: Fetch current AAPL price (cached, 10ms)
    Step 2: Retrieve historical volume data
    Step 3: Merge results from multiple providers
    Step 4: Generate structured response

  Query Results:
    b7774673-dfbc-4d7e-89d0-4d329643ca47: {"symbol": "AAPL", "price": 150.25, "change": 2.5, "change_p...
    42731b42-873d-415e-a46d-d5a4fcfcd05e: [{'time': '2024-01-01', 'open': 150.0, 'high': 155.0, 'low': 147.0, 'close': 152.0, 'volume': 1000000}, {'time': '2024-01-02', 'open': 151.0, 'high': 156.0, 'low': 148.0, 'close': 153.0, 'volume': 1100000}, {'time': '2024-01-03', 'open': 152.0, 'high': 157.0, 'low': 149.0, 'close': 154.0, 'volume': 1200000}, {'time': '2024-01-04', 'open': 153.0, 'high': 158.0, 'low': 150.0, 'close': 155.0, 'volume': 1300000}, {'time': '2024-01-05', 'open': 154.0, 'high': 159.0, 'low': 151.0, 'close': 156.0, 'volume': 1400000}, {'time': '2024-01-06', 'open': 155.0, 'high': 160.0, 'low': 152.0, 'close': 157.0, 'volume': 1500000}, {'time': '2024-01-07', 'open': 156.0, 'high': 161.0, 'low': 153.0, 'close': 158.0, 'volume': 1600000}, {'time': '2024-01-08', 'open': 157.0, 'high': 162.0, 'low': 154.0, 'close': 159.0, 'volume': 1700000}, {'time': '2024-01-09', 'open': 158.0, 'high': 163.0, 'low': 155.0, 'close': 160.0, 'volume': 1800000}, {'time': '2024-01-10', 'open': 159.0, 'high': 164.0, 'low': 156.0, 'close': 161.0, 'volume': 1900000}]

📊 COMPARE Query Demo (Blueprint 4.2 Example 2)
────────────────────────────────────────────────────────────────────────────────
  Query: COMPARE BTC vs ETH vs SOL ON: VOLUME(7d), LIQUIDITY, MOMENTUM
  Execution Status: COMPLETED

  Comparison Execution Plan:
    1. Fetch 7-day volume for all assets
    2. Calculate liquidity metrics (bid-ask, depth)
    3. Compute momentum indicators
    4. Generate comparative analysis

🔍 SCAN Query Demo (Blueprint 4.2 Example 4)
────────────────────────────────────────────────────────────────────────────────
  Query: SCAN NASDAQ WHERE VOLUME > AVG_VOLUME(30d) * 2 AND PRICE_CHANGE(1d) > 5%
  Execution Status: COMPLETED

  Market Scan Capabilities:
    Markets:    NYSE, NASDAQ, LSE, TSE, CRYPTO
    Conditions: Numeric comparisons (>, <, >=, <=, =, !=)
    Operators:  AND, OR for complex filtering
  ⏱  Section completed in 1.42s

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🤖 SECTION 4: Multi-Agent Orchestration System
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🔧 Worker Agent Architecture (Blueprint 5.1)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating Ray-based multi-agent orchestration framework...

  Specialized Worker Agents (7 agents):

  ┌───────────────────────────────────────────────────────────────────────────────┐
  │                      ORCHESTRATOR (Ray)                                      │
  │           Task Scheduler | Load Balancer | Result Merger                     │
  └───────────────────┬───────────────────────────────────────────────────────────┘
                       │
    ┌──────────────────┼──────────────────┬──────────────────┐
    │                  │                  │                  │
  ┌─▼──────────────┐ ┌─▼──────────────┐ ┌─▼──────────────┐ ┌─▼──────────────┐
  │ Fundamentals   │ │ Technical      │ │ Macro          │ │ Sentiment      │
  │ Worker         │ │ Worker         │ │ Worker         │ │ Worker         │
  │ - Financials   │ │ - Ratios       │ │ - Fed rates    │ │ - News NLP     │
  │ - Ratios       │ │ - Filings      │ │ - CPI/GDP      │ │ - Social       │
  │ - Filings      │ │ - Stochastic   │ │ - Treasury     │ │ - Earnings     │
  └────────────────┘ └────────────────┘ └────────────────┘ └────────────────┘

  ┌────────────────┐ ┌────────────────┐ ┌────────────────┐
  │ Correlation    │ │ Risk/Anomaly   │ │ News Intel     │
  │ Worker         │ │ Worker         │ │ Worker         │
  │ - Pearson      │ │ - Outlier det. │ │ - Headlines    │
  │ - Granger      │ │ - Volatility   │ │ - Events       │
  │ - Causality    │ │ - VAR/CVaR     │ │ - Filtering    │
  └────────────────┘ └────────────────┘ └────────────────┘


🔬 Ray Cluster Status
────────────────────────────────────────────────────────────────────────────────
  Checking Ray distributed computing cluster...
  ======== Autoscaler status: 2025-11-27 09:32:48.308107 ========
  Node status
  ---------------------------------------------------------------
  Active:
  1 node_a14f09ee76638070a1408eb981854ea836498065214224c84ee23546
  1 node_0c01c817b5e8594ee70c48dd9780ec211eebcc910d9a4adaf2ed19a6
  1 node_48113649747e6c1a7e866bafe86b10766a80b3fe9370f603f4d42381
  Pending:
  (no pending nodes)
  Recent failures:
  (no failures)

  Resources
  ---------------------------------------------------------------
  Total Usage:
  0.0/12.0 CPU
  0B/31.68GiB memory
  0B/13.58GiB object_store_memory

  From request_resources:

📋 Task Registry Demonstration
────────────────────────────────────────────────────────────────────────────────
  Task Processing Metrics:
    Total Tasks:     10
    Active Tasks:    0
    Completed:       0
    Failed:          0
  ⏱  Section completed in 1.46s

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📋 SECTION 5: Stateful Session Management
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🗄️ Session Architecture (Blueprint 6)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating persistent analysis sessions for multi-step investigations...

  Session Capabilities:
    • Maintain context across multiple queries
    • Track watchlist assets within session
    • Persistent memory for AI agent conversations
    • TTL-based automatic session cleanup


➕ Create Portfolio Analysis Session
────────────────────────────────────────────────────────────────────────────────
  Status:      SUCCESS
  Session ID:  3908b2d5-70d3-4009-8560-4f9581b7a223
  Type:        portfolio
  Assets:      AAPL, TSLA, BTC, ETH
  TTL:         24 hours
  Tags:        blueprint, demo, multi-asset
  Expires:     2025-11-28T17:32:51.059730+00:00

📊 Session Analytics
────────────────────────────────────────────────────────────────────────────────
  Total Sessions:      3
  Active Sessions:     3
  Archived Sessions:   0
  Total Queries:       2
  Avg Duration:        0s
  Queries/Session:     0.7
  ⏱  Section completed in 0.08s

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🛡️ SECTION 6: Compliance & Safety Framework (v0.3.0)
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⚖️ Compliance Guardrail Layer (Blueprint 8 + v0.3.0)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating regulatory compliance for financial outputs...

  Guardrail Capabilities (v0.3.0):

  Output Scanning
    • Prescriptive verb detection (should, must, recommend)
    • Advice pattern matching with context awareness
    • Opinion-as-fact identification
    • Certainty language blocking

  Automatic Actions
    • Advice removal with grammatical cleanup
    • Descriptive tone enforcement
    • Region-appropriate disclaimer generation
    • Asset-class specific requirements


🌍 Multilingual Compliance Support (9 Languages)
────────────────────────────────────────────────────────────────────────────────
  Supported Languages:
    ✓ English (en)      - Full comprehensive patterns
    ✓ Spanish (es)      - Prescriptive verbs, advice, disclaimers
    ✓ French (fr)       - Prescriptive verbs, advice, disclaimers
    ✓ German (de)       - Prescriptive verbs, advice, disclaimers
    ✓ Italian (it)      - Prescriptive verbs, advice, disclaimers
    ✓ Portuguese (pt)   - Prescriptive verbs, advice, disclaimers
    ✓ Japanese (ja)     - Script detection, advice, disclaimers
    ✓ Chinese (zh)      - Script detection, advice, disclaimers
    ✓ Farsi/Persian (fa)- Script detection, advice, disclaimers


🏷️ Compliance Action Types
────────────────────────────────────────────────────────────────────────────────
  PASSED   - Content is compliant without modifications
  MODIFIED - Content was modified to be compliant
  BLOCKED  - Content blocked due to severe violations (strict mode)


📋 Compliance Pattern Examples
────────────────────────────────────────────────────────────────────────────────
  Prescriptive → Descriptive Conversion:
    ✗ 'You should buy AAPL'     →  ✓ 'Purchasing options are available'
    ✗ 'Must sell before drop'   →  ✓ 'Selling is possible for this asset'
    ✗ 'I recommend investing'   →  ✓ 'Investment options exist'

  Certainty → Historical Conversion:
    ✗ 'Will definitely rise'    →  ✓ 'Has historically shown rise patterns'
    ✗ 'Guaranteed returns'      →  ✓ 'Potential returns (not guaranteed)'

  Opinion → Analytical Conversion:
    ✗ 'This is undervalued'     →  ✓ 'Has metrics analysts consider relevant'
    ✗ 'Risk-free investment'    →  ✓ 'An option with associated risks'
  ⏱  Section completed in 0.00s

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👁️ SECTION 7: Real-Time Event Intelligence - Watchdog System
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🔔 Watchdog Architecture (Blueprint 10)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating real-time market event detection and alerting...

  Watchdog Event Types (8 watchdogs):

    ● earnings_anomaly   - Significant earnings surprise detection
    ● unusual_volume     - 3σ volume spike from 30-day average
    ● whale_movement     - Large crypto wallet transactions
    ● funding_spike      - Perpetual funding rate anomalies
    ● liquidity_drop     - Order book depth reduction > 50%
    ● correlation_break  - Historical correlation breakdown
    ● exchange_outage    - Exchange health and downtime
    ● price_movement     - Significant intraday price changes


💓 Watchdog Health Monitor
────────────────────────────────────────────────────────────────────────────────
  Overall Health: UNKNOWN
  ⏱  Section completed in 0.04s

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✍️ SECTION 8: Narrative Generation Engine
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📝 Narrative Generator Architecture (Blueprint 14.1)
────────────────────────────────────────────────────────────────────────────────
  Demonstrating AI-powered financial narrative generation...

  Narrative Sections Generated:
    1. Market Context      - Price, volume, 52-week range analysis
    2. Technical Analysis  - RSI, MACD, Bollinger interpretation
    3. Fundamental Analysis- P/E, P/B, financial ratios
    4. Sentiment Analysis  - News NLP, social sentiment
    5. Risk Assessment     - Volatility, VAR, CVaR metrics
    6. Key Insights        - Actionable observations


🎯 Live Narrative Generation Demo
────────────────────────────────────────────────────────────────────────────────
  Generating compliance-filtered narrative for NVDA...
  ✓ Narrative Engine Active

  Sections Generated: 1
    • Market Context (market_context) - Confidence: 95%

  Key Insights Extracted:
    • NVDA is trading at $180.26, showing a modest intraday gain of about 1....
    • Reported volume of ~181.8M shares is very high in absolute terms, whic...
    • Key reference level is the psychologically important $180 price area; ...

  Executive Summary (first 250 chars):
    Nvidia (NVDA) continues to trade with strong momentum at $180.26,
    supported by elevated volume that underscores robust institutional
    participation rather than speculative excess. Technically, the
    stock remains in a constructive uptrend, with recent p
    ...
  ⏱  Section completed in 0.36s

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📱 SECTION 9: Platform Distribution Strategy
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🔧 MCP Tools Available (Blueprint 3.1)
────────────────────────────────────────────────────────────────────────────────
  Total MCP Tools: 9

  ──────────────────────────────────────────────────────────────────────
  Tool Name                      Description                           
  ──────────────────────────────────────────────────────────────────────
  search-by-symbol               Search for a stock by symbol with i...
  search-by-coin                 Search for cryptocurrency with inst...
  get-task-status                Poll or stream updates for an async...
  execute-fk-dsl                 Execute a Financial Knowledge DSL q...
  create-analysis-session        Create a new analysis session for t...
  get-session-info               Get information about an existing s...
  list-sessions                  List sessions for a user...
  extend-session                 Extend session expiration time...
  get-session-analytics          Get session analytics and statistic...
  ──────────────────────────────────────────────────────────────────────

🌐 Platform Support Matrix (Blueprint 12)
────────────────────────────────────────────────────────────────────────────────
  Supported Platforms:

    ✓ ChatGPT GPT Marketplace  - Custom GPT with Actions API
    ✓ Claude Desktop           - Native MCP integration
    ◐ Telegram Bot             - python-telegram-bot (Phase 2)
    ◐ WhatsApp Bot             - whatsapp-cloud-api (Phase 3)
    ◐ Expo Mobile App          - React Native iOS/Android (Phase 2)
    ◐ Web App                  - Next.js 14 (Phase 3)
    ◐ TV App                   - React Native for TV (Phase 3)

  ✓ = Complete   ◐ = In Progress/Planned
  ⏱  Section completed in 0.04s

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🗺️ SECTION 10: 10-Year Technology Roadmap
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📆 Phase Status Overview (Blueprint 16)
────────────────────────────────────────────────────────────────────────────────

  █████████████████████ Phase 1: Foundation (Nov 2025) - COMPLETE ✓
    Core MCP server, data arbitration, L1/L2 caching, FK-DSL, Ray orchestration

  ████████████░░░░░░░░░ Phase 2: Intelligence (Q1-Q2 2026) - 60% IN PROGRESS
    Session management, Expo app, Telegram bot, additional providers

  ░░░░░░░░░░░░░░░░░░░░░ Phase 3: Platform (2027) - PLANNED
    Real-time watchdog, Kafka event stream, plugin system, multi-language

  ░░░░░░░░░░░░░░░░░░░░░ Phase 4: Ecosystem (2028+) - FUTURE
    Financial OS, plugin marketplace, enterprise solutions, quantum security


✅ Phase 1 Deliverables Status
────────────────────────────────────────────────────────────────────────────────
  ✓ Core MCP server (Python/FastAPI)
  ✓ Integration: Yahoo Finance, Alpha Vantage, FMP, CCXT (17 providers)
  ✓ L1/L2 caching (Redis + PostgreSQL/TimescaleDB)
  ✓ MCP tools: search-by-symbol, search-by-coin, execute-fk-dsl, get-task-status
  ✓ FK-DSL parser and execution engine (Lark-based)
  ✓ Multi-agent orchestration framework (Ray)
  ✓ WebSocket streaming for real-time data
  ✓ Compliance framework (regional restrictions, disclaimers)
  ✓ v0.3.0: Multilingual compliance guardrail (9 languages)
  ✓ Docker Compose deployment
  ✓ Monitoring stack (Prometheus + Grafana)

📊 Success Metrics (Blueprint 18)
────────────────────────────────────────────────────────────────────────────────
  Product Metrics (Year 1 Targets):
    Avg Response Time:   < 200ms
    Cache Hit Rate:      > 80%
    Data Providers:      5+ (currently 17)
    Supported Assets:    1,000+
    Languages:           3+ (currently 9)
    Uptime:              99.5%

  Technical Metrics:
    API P99 Latency:     < 500ms
    Task Completion:     > 95%
    Provider Uptime:     > 99%
    Data Freshness:      < 5 min
    Compliance Accuracy: > 99.9%
  ⏱  Section completed in 0.00s

╔════════════════════════════════════════════════════════════════════════════════╗
║                    ✅ BLUEPRINT DEMO COMPLETE ✅                               ║
╠════════════════════════════════════════════════════════════════════════════════╣
║                                                                                ║
║  Total Duration: 12.03s                                                        ║
║                                                                                ║
║  Blueprint Sections Demonstrated:                                              ║
║    1.  System Architecture                                                    ║
║    2.  Data Arbitration Engine (5-factor scoring)                             ║
║    3.  FK-DSL Query Language (EVALUATE, COMPARE, SCAN, CORRELATE)             ║
║    4.  Multi-Agent Orchestration (7 Ray workers)                              ║
║    5.  Stateful Session Management                                            ║
║    6.  Compliance & Safety Framework (9-language guardrail)                   ║
║    7.  Real-Time Event Intelligence (8 watchdogs)                             ║
║    8.  Narrative Generation Engine                                            ║
║    9.  Platform Distribution Strategy                                         ║
║    10. 10-Year Technology Roadmap                                              ║
║                                                                                ║
║  Quick Links:                                                                  ║
║    Blueprint:   docs/project/blueprint.md                                      ║
║    API Docs:    http://localhost:8000/docs                                      ║
║    Health:      http://localhost:8000/health                                    ║
║    MCP Tools:   http://localhost:8000/mcp/tools                                 ║
║                                                                                ║
║  For detailed testing, run:                                                    ║
║    ./live_demo.sh              - Full system demo                             ║
║    ./scripts/test_live_system.sh - Comprehensive testing                      ║
║                                                                                ║
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