[Feature] Implement FOREX Global Intelligence Framework for Daily FX Analysis

[wen272785]

Is your feature request related to a problem? Please describe.
Currently, FinGPT does not have a comprehensive institutional-style framework for daily multi-currency monitoring and trade opportunity detection in the global forex market.

Describe the solution you'd like
Implement the FOREX GLOBAL INTELLIGENCE FRAMEWORK to provide daily FX analysis aligned with institutional macro/hedge fund practices. Major components to include:

• Monitoring of the 9 global major currencies (USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD, CNY)
• Multi-layered analytical structure:
  1. Global Macro analysis (risk sentiment, indices, liquidity, global factors)
  2. Institutional Capital Flow (treasury yields, equity/bond/ETF flows, liquidity/demand measures)
  3. Economic Data (tiered indicators: interest rate, inflation, GDP, employment, PMI, trade balance, etc.)
  4. Central Bank Policy (rate changes, policy stance, liquidity programs)
  5. Geopolitics (conflicts, sanctions, trade/energy tensions)
  6. Commodity Links (impact of oil/metals/dairy on currencies)
  7. Currency Strength determination (identify strong/weak currencies per session)
  8. Session analysis (Asia/London/US session-specific strength/weakness and trade bias)
  9. Trade Opportunity generation (pairing strong vs. weak, event-aware)
  10. Forward Event Anticipation (event impact map: HIGH/MEDIUM/LOW)
  11. Trade Timing model (entry/exit rules based on event risk and session flow)
• Outputs: Daily market sentiment, ranked currencies (strong/weak), session biases, best trade pairs, upcoming event lists, capital flow summary.
• Integration with reliable data sources (Bloomberg, Reuters, TradingEconomics, FXStreet, etc.).

Describe alternatives you've considered

• Simpler pair-specific signals without macro/multi-layer institutional structure
• Individual data point monitoring without consolidated bias mapping or session analysis

Additional context

• Inspiration: The provided framework is modeled after global institutional FX analysis methodologies
• May require staged module development for data ingestion, scoring, session mapping, event flagging, and reporting
• Example output template included in the original framework document
• Reference template structure in Indonesian and English available
• Potential for FinGPT usage: robo-advisory, trade signals, educational/analysis tools for institutional and advanced retail users