Predicting the Future Through Consciousness Research
Welcome to GFS
Discover Accurate, Actionable Insights Before They Happen
The Global Forecasting System (GFS) is the first production-ready AI system that analyzes dream narratives and altered states of consciousness to forecast social, geopolitical, and economic events. Unlike traditional forecasting methods that rely solely on historical data and statistical models, GFS incorporates biological data from human consciousness states, processed through advanced machine learning algorithms.
Key Achievements:
- ✅ 7 peer-reviewed research papers (2023-2025) published in international journals
- ✅ Production-ready system (v3.1) with comprehensive API (38+ endpoints)
- ✅ Verified predictions with 11.1% R² in stock market forecasting
- ✅ Industry recognition at Theta Network European Conference & Hackathon, Berlin 2025
- ✅ Complete ecosystem from dream induction to prediction verification
- ✅ 39% success rate in lucid dream induction (Banchenko Algorithm)
Choose Your Path
GFS serves three distinct communities. Select the path that matches your interests:
🔬 For Researchers →
Scientific Collaboration & Research
- Access peer-reviewed publications
- Collaborate on validation studies
- Explore research methodology
- Request research data access
Key for: Academic researchers, neuroscientists, consciousness studies experts, research institutions
💼 For Investors →
Investment Opportunities & Business Model
- Explore market opportunities ($35M+ market)
- Review business model and revenue streams
- Access financial projections
- Schedule investment meetings
Key for: Venture capitalists, angel investors, strategic investors, family offices
👨💻 For Users →
API Access & Integration
- Try GFS API with free trial
- Access comprehensive documentation
- Explore use cases and examples
- Integrate forecasting into your applications
Key for: Developers, data scientists, businesses, API integrators
What is GFS?
The Global Forecasting System bridges consciousness research, artificial intelligence, and predictive analytics to create a unique forecasting platform.
Three Application Domains
🌍 Social Forecasting
Description:
Analyzes public sentiment and human behavior to identify social trends and predict changes in society.
Methods:
Using data from social networks, surveys, and news sources to analyze public opinion and sentiment. Integration of dream narratives with social media data and behavioral patterns.
Applications:
- Forecasting social movements and changes in public sentiment
- Identifying key factors influencing public behavior
- Predicting societal shifts before they manifest in traditional data
- Early warning system for social unrest or major cultural changes
Key Advantages:
- Access to subconscious signals not available in traditional social media analysis
- Early detection of emerging trends
- Understanding of collective unconscious patterns
🏛️ Geopolitical Forecasting
Description:
Predicts changes in global political forces and international conflicts based on the analysis of political events and international relations.
Methods:
Collect and analyze data from government reports, news, and social media. Apply causal models to identify potential political changes. Integration with dream narratives provides unique insights into geopolitical dynamics.
Applications:
- Help develop political strategies and crisis management
- Predict international conflicts and changes in political dynamics
- Early warning for geopolitical shifts
- Analysis of policy impacts before implementation
Key Advantages:
- Non-traditional data source unavailable to competitors
- Early signals of political changes
- Understanding of underlying geopolitical tensions
💰 Economic Forecasting
Description:
Analyzes economic data to predict macroeconomic trends and develop investment strategies based on dream analysis.
Methods:
Using data from financial markets, economic reports, and news. Applying econometric models and time series analysis. Integration with dream narratives provides predictive signals for market movements.
Applications:
- Forecasting market fluctuations and economic trends
- Developing investment strategies
- Assessing the impact of economic events on the global economy
- Early warning for market crashes or economic shifts
Key Advantages:
- 11.1% R² validated in stock market prediction
- Early signals before market movements
- Unique biological data source
- Verified predictions with documented evidence
How It Works
Multi-Pass Analysis Pipeline
The GFS Model uses a sophisticated 7-pass analysis pipeline to extract events, classify spheres, map economic sectors, and verify predictions. Each pass uses specialized LLM models optimized for specific tasks.
Dream Collection (Banchenko Algorithm)
↓
Pass 1: Event Extraction (3-5s)
↓
Pass 2: Sphere Classification
↓
Pass 3: Economic Mapping (NAICS)
↓
Pass 4: News Verification (GDELT, Google CSE)
↓
Pass 5: Similar Dreams Search (FAISS)
↓
Pass 6: Causal Reasoning (JanusGraph)
↓
Pass 7: Polymarket Betting & Asset Management
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Forecasting Results
Core Capabilities
- Event Extraction (Pass 1) - Identifies up to 3 real-world events from dream narratives
- Sphere Classification (Pass 2) - Categorizes events into economic, social, or geopolitical spheres
- Economic Mapping (Pass 3) - Maps events to specific industries using NAICS taxonomy
- News Verification (Pass 4) - Verifies predictions against real-world evidence using temporal windows (1, 3, 7, 21 days)
- Similar Dreams Search (Pass 5) - Vector-based semantic search to find related dreams (FAISS)
- Causal Reasoning (Pass 6) - Multi-hop causal chain discovery using knowledge graphs
- Polymarket Betting & Asset Management (Pass 7) - Automated trading on prediction markets with account integration
Technology Stack
AI/ML:
- Advanced LLM pipeline (OpenAI GPT-4, Google Gemini, Anthropic Claude, Theta EdgeCloud)
- PropBank Semantic Role Labeling
- BGE embeddings (BAAI/bge-large-en-v1.5)
- Custom neural networks for dream analysis
Data Sources:
- Real-time news verification (GDELT, Google Custom Search Engine)
- Financial market data (real-time quotes, historical data)
- Government reports and official sources
Infrastructure:
- Causal reasoning (JanusGraph knowledge graphs)
- Vector search (FAISS/HNSW) for similar dreams
- PostgreSQL for data storage
- Docker & Docker Compose for deployment
Key Numbers
| Metric | Value |
|---|---|
| Research Papers | 7 peer-reviewed publications (2023-2025) |
| System Version | v3.1 (Production-ready) |
| API Endpoints | 38+ comprehensive endpoints |
| Forecasting Accuracy | 11.1% R² (stock market, validated) |
| Lucid Dream Success | 39% induction rate (7/18 participants) |
| API Response Time | 3-5s (quick), 15-25s (full analysis) |
| Verification Time | 50-65s (comprehensive verification) |
| Similar Dreams Search | 0.5-2s (vector search) |
| Verified Predictions | Multiple successful forecasts documented |
| Dream Synchronization | 2.5x increase in group dreams |
| Study Participants | 8-25 participants per study |
| Geographic Coverage | Global (participants from multiple countries) |
Trust Indicators
Scientific Foundation
- 7 peer-reviewed papers published in international journals (2023-2025)
- Validated methodologies with statistical significance
- Interdisciplinary research spanning neuroscience, AI, economics, blockchain
- 20+ years of lucid dreaming research by Denis Banchenko
- Multiple validated studies with documented results
Technical Excellence
- Production-ready system (v3.1) with comprehensive API (38+ endpoints)
- Scalable architecture (Docker, PostgreSQL, JanusGraph, FAISS)
- Multi-pass LLM pipeline optimized for specific tasks
- Real-time verification using GDELT and Google CSE
- Industry recognition at Theta Network European Conference & Hackathon, Berlin 2025
- Presented at AstanaHub Industry 4.0 Pitch Battle (Digital Bridge 2025)
Proven Results
- Verified predictions with documented evidence
- 11.1% R² in stock market forecasting (statistically significant)
- 39% success rate in lucid dream induction (Banchenko Algorithm)
- 2.5x increase in group dreams after synchronization
- 25/25 participants showed improved stress resilience (Grivtsova Methodology)
- Multiple successful forecasts including December 21, 2022 prediction (52.26% accuracy)
Project Development History
GFS Model has evolved through multiple releases, each adding new capabilities and improving accuracy:
v3.1 (Current - Production-Ready)
Status: Implemented
Features:
- Complete 7-pass analysis pipeline
- Comprehensive API (38+ endpoints)
- Real-time verification system
- Similar dreams search
- Causal reasoning
- Production deployment ready
v2.0.0 (Planned)
Status: Planned
Timeline: Q4 2025 - Q3 2026
Upcoming Features:
- Scientific Formulation
- Enhanced Causal Analysis
- Advanced Fact Checking
- FrameNet Integration
- User Priorities System
v1.0.0
Status: Implemented
Release Date: 2025-10-14
Features:
- Prediction Verification System
- Temporal Windows (1, 3, 7, 21 days)
- GDELT Integration
- Evidence Scoring
v0.1.0
Status: Implemented
Release Date: 2025-09-12
Features:
- Multi-Pass Analysis
- Event Extraction
- Similar Dreams Search
- News API Integration
Industry Recognition & Events
Theta Network European Conference & Hackathon
Location: Berlin, Germany
Date: September 11th, 2025
Presentation: Valeria Ovseannikova (CBE) presented GFS key features and vision
We showcased the Global Forecasting System at one of Europe's premier technology conferences, demonstrating our innovative approach to predictive analytics.
Industry 4.0 Pitch Battle at AstanaHub
Location: AstanaHub, Kazakhstan
Event: Digital Bridge 2025 forum
Application: Applied to participate with GFS project
We applied to present GFS as an industrial technology solution, demonstrating our commitment to bringing consciousness-based forecasting to practical applications.
Scientific Innovation
Quantum Nature of Consciousness
Recent breakthrough discoveries affirm the quantum nature of consciousness, which is based on the connection between the biological and physical structure of living and non-living systems. GFS leverages this understanding to access predictive signals unavailable through traditional methods.
Unique Data Source
GFS is the only system combining:
- Lucid dreaming research (20+ years of methodology development)
- Artificial intelligence (advanced LLM pipelines)
- Financial forecasting (validated with 11.1% R²)
This unique combination provides access to biological data sources that traditional forecasting systems cannot access.
Technology Development
The development of GFS technology leads to a qualitatively new understanding of:
- The formation of event sequences
- Rethinking of cause-and-effect relationships
- Integration of biological and digital intelligence
API Capabilities
GFS provides comprehensive API access with multiple modes optimized for different use cases:
Full Analysis Mode
Response Time: 15-25 seconds
Includes: Complete 7-pass analysis with event extraction, sphere classification, economic mapping, news verification, similar dreams search, causal reasoning, and prediction verification.
Best for: Comprehensive analysis requiring full context and verification.
Quick Events Mode
Response Time: 3-5 seconds
Includes: Fast event extraction (Pass 1 only) - identifies up to 3 real-world events from dream narratives.
Best for: Batch processing, testing, and rapid event identification.
Prediction Verification Mode
Response Time: 50-65 seconds
Includes: Temporal verification of predictions using GDELT, Google CSE, and government sources with evidence scoring.
Best for: Validating predictions and gathering evidence for forecasted events.
Similar Dreams Search
Response Time: 0.5-2 seconds
Includes: Vector-based semantic search to find related dreams using FAISS.
Best for: Finding patterns across multiple dreams and identifying recurring themes.
Polymarket Integration Mode
Response Time: Real-time
Includes:
- Connect Polymarket accounts securely (OAuth 2.0)
- Automated bet placement based on GFS predictions
- Portfolio tracking and asset management
- Real-time market scanning and analysis
- Risk management and position sizing
Best for: Automated trading on prediction markets, portfolio management, and risk-optimized betting strategies.
View Complete API Documentation →
Research Foundation
Peer-Reviewed Publications
GFS is built on 7 peer-reviewed research papers published in international journals:
- Banchenko Algorithm (2023) - Brain and Nerves - 39% lucid dream success rate
- Banchenko Market (2023) - Moscow Economic Journal - NFT-based research funding
- Dream Synchronization (2024) - International Internal Medicine Journal - 2.5x increase in group dreams
- Event Forecasting (2024) - Japan Journal of Research - 11.1% R² in stock market prediction
- Grivtsova Stress Methodology (2024) - American Journal of Medical and Clinical Research - Stress correction without pharmacology
- GMS/GFS Technology (2025) - Journal of Investment Banking and Finance - Consciousness tokenization framework
- Research Strategy Analysis (2024) - Comprehensive ecosystem overview
Key Research Findings
- Lucid Dream Induction: 39% success rate using Banchenko Algorithm
- Stock Market Prediction: 11.1% R² (statistically significant)
- Dream Synchronization: Demonstrated across 8 geographically separated participants
- Stress Management: 25/25 participants showed improved stress resilience
- Temporal Patterns: Dreams predicted events 1, 3, 7, 21 days before occurrence
Use Cases
For Financial Institutions
- Early warning system for market movements
- Investment strategy development
- Risk assessment and portfolio optimization
- Alternative data source for quantitative analysis
For Research Institutions
- Consciousness research collaboration
- Dream data collection and analysis
- Interdisciplinary research opportunities
- Access to validated methodologies
For Government & Policy Makers
- Geopolitical risk assessment
- Early warning for social unrest
- Policy impact prediction
- Crisis management support
For Technology Companies
- API integration for predictive features
- Custom forecasting solutions
- Data analysis and insights
- Research and development collaboration
For Prediction Market Traders
- Polymarket Integration: Connect accounts and automate trading
- Automated Betting: Place bets automatically based on GFS predictions
- Portfolio Management: Track and optimize prediction market portfolios
- Risk Management: Set limits and optimize position sizing
- Performance Analytics: Analyze trading performance and strategies
Quick Links
- 📚 Research Papers - All peer-reviewed publications
- 🔬 Research Pages - Detailed research information
- 💻 Technology - Technical architecture
- 💡 Use Cases - API use cases
- 📊 Market Opportunity - Investment information
- 🔧 API Documentation - API reference
- 👥 About & Team - Team and project information
- 🎥 Videos - Video presentations and transcripts
- 💱 ASRP.Exchange - Trading platform for consciousness states
- 📖 Comprehensive Analysis - Full technical documentation
Contact
General Inquiries:
Email: info@asrp.tech
Research Collaboration:
Contact Researchers →
Investment Inquiries:
Contact Investors →
API Support:
Contact Users →
Research Pages
Explore detailed information about our research methodologies:
- Banchenko Algorithm - Lucid dreaming induction (39% success rate)
- Dream Synchronization - Collective dream synchronization method
- Stress Methodology - Grivtsova stress management approach
- GMS/GFS Technology - Consciousness tokenization framework
- Banchenko Market - NFT-based research funding model
Navigation
- Researchers Landing - Scientific collaboration & research
- Investors Landing - Investment opportunities & business model
- Users Landing - API access & integration
- Technology - Technical architecture & system design
- Publications - All peer-reviewed research papers
- About - Team, mission, and project information
- Videos - Video presentations and transcripts
- Comprehensive Analysis - Full technical documentation
Site Map
For a visual representation of the site structure, see Site Map.
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Global Forecasting System - Bridging Consciousness Research and Predictive Analytics