ACTRAGEA Research

Non-Discretionary Cycle Analysis

We develop objective methodologies to identify market cycles. Objective criteria, transparent data, verifiable results.

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Important: Educational Purposes Only

ACTRAGEA is not a licensed financial advisor. All content is exclusively for educational purposes and does not constitute investment solicitation, financial advice, or trading recommendations. Cycle analysis is a descriptive market methodology. Investing always involves risk of losses.

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Comprehensive Overview of Real-Time Quantitative Trading Systems

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⚠️ Active Optimization: Some systems are currently undergoing parameter optimization. Performance metrics may be updated to improve strategy effectiveness.
πŸ“… Starting tomorrow, the system will automatically display the status of each trading system to clearly identify those under maintenance.

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Challenges in Traditional Cycle and Technical Analysis

Subjective interpretation

Two analysts look at the same chart and see different things. How can you determine when a cycle starts or ends without having set objective criteria?

Conflicting Timeframes

Daily bullish, H4 bearish, H1 neutral. Which one to follow? How to systematically integrate different time perspectives?

Lack of Measurable Validation

Excessive use of 'perhaps' and 'might be'. What's required are methodologies with clear and estabilished criteria that lead to consistent outcomes.

ACTRAGEA Framework

Systematic approach based on historical data and multi-timeframe analysis

🌊 Multi-Timeframe Analysis

Simultaneous analysis of 5 different timeframes to identify cycle convergences and temporal alignments

πŸ“Š Integrated Statistical Analysis

Quantitative benchmarks derived from historical datasets. Evidence-based mathematical probabilities, not subjective opinions, founded on recurring pattern analysis

πŸ”„ Geometric Patterns

Systematic identification of proportional relationships and geometric patterns that recur consistently in market price movements

ACTRAGEA Methodology

Cycle Architecture

4 phases: (1) Peak Search, (2) Peak Confirmation Wait, (3) Bottom Search, and (4) Bottom Confirmation Wait/p>

  • Objective methodologies for cycle identification
  • Estabilished Quantitative criteria for each phase transition
  • Systematic analysis without subjective interpretation
  • Self-learning to adapt cycle durations based on measured data
  • Predictive logic for price evolution forecasting

πŸ”„ CYCLE STATUS INFOGRAPHIC

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Fase Corrente: Ricerca del Minimo

Fase 1: Peak Search

Fase 2: Peak Confirmation Wait

Fase 3: Bottom Search (current)

Fase 4: Bottom Confirmation Wait

Analysis Hub

Quantitative cycle analysis structured by topic

Report
15+
Years of Cycle Research
5
Timeframes Analyzed
4
Methodological Pillars
100%
Transparency

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