Dear programmers and forum participants.I have the source code for review, which was not fully implemented by the programmer. Could you take a look and give your opinion whether it can work or not? I would appreciate any help.
This is a comprehensive trading system based on MQL4 that combines advanced machine learning technologies, mathematical analysis, and a three-core architecture to generate trading signals. The system is a modular indicator with adaptive capabilities and the ability to self-learn.

The system is a comprehensive solution for automated technical analysis that combines traditional methods with advanced artificial intelligence technologies.

1. Three-core architecture
The system uses three independent analytical cores:
Core 1: Reversal and fractal analysis
Core 2: Reversal indicators and candlestick patterns
Core 3: Volume cluster analysis

2. Key features
Machine learning and AI:
Adaptive neural networks
Reinforcement learning
Genetic optimization algorithms
Bayesian parameter optimization

3. Mathematical analysis:
Fourier spectral analysis
Calculation of the Hurst exponent
Fractal analysis
Volatility analysis

4. Technical analysis:
Multiple timeframes
Divergence analysis
Candlestick patterns
Volume analysis

5. Adaptive systems:
Dynamic parameter adjustment
Adaptation to market conditions
Self-optimization based on historical data

6. Filters and validation:
Multi-level filter system
Trend filters
Volatility filters
Volume filters
Market phase filters
ML signal validation

7. Analysis algorithms:
Market phase analysis
The system identifies 7 market phases:
Accumulation
Growth (Markup)
Distribution
Decrease
Rollback
Reversal
Flat

8. Spectral analysis

9. Cluster analysis of volumes:
Analysis of volume distribution to determine market sentiment.

10. Harmonic patterns:
Pattern recognition: Bat, Gartley, Butterfly, Crab.

11. Performance optimization:
Data caching
Caching of RSI values
Caching of ATR values
Moving average volume cache

12. Adaptive calculations:
Dynamic change of retrospective periods
Optimization for test mode
Batch processing of historical data

13. Detailed analytics
Analysis by time of day
Analysis by market phases
Efficiency of filters
Quality of signals

14. System advantages:
Adaptability - automatic adaptation to different markets
Multidimensionality - simultaneous analysis of multiple factors
Self-learning - continuous improvement based on new data
Reliability - resistance to various market conditions
Transparency - detailed reporting and logging