It listed SignalStoch/SignalPB/SignalITF/SignalRVI and six other files as though
present, marked SignalSessionFilter '(Removed)' while its 207 lines were being
instantiated on every init, and omitted SignalMETA (578 lines), OscillatorDivergence,
SignalRiskGuard and SignalHYBRID entirely - so the one file meant to orient a reader
was wrong in both directions at once.
Rewritten against the actual roster, with the removal reasons recorded here rather
than in commits nobody re-reads, and with the two conventions that are easy to get
wrong on first contact: the voting machinery is stock CExpertSignal (so 'simplify
back to stdlib' removes nothing), and Direction() is a transaction.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Add MACD_FAST, MACD_SLOW, MACD_SIGNAL presets and Ichimoku Tenkan, Kijun, Senkou presets to InputEnums.mqh. All combinations are designed to satisfy the respective indicator's validation rules (fast < slow for MACD, Tenkan < Kijun < Senkou B for Ichimoku), eliminating init errors and allowing the auto-tuner to perturb settings independently.
Introduce VOTE_CLOSE_PRESETS enum with a Disabled option (value 101) that bypasses vote-driven position closing via arithmetic thresholding, removing the need for a separate boolean flag. This ensures positions exit only via stop-loss, take-profit, or trailing when disabled.
- Updated README.md with project overview, key features, directory structure, getting started guide, and modernization roadmap.
- Added AI_NETWORK.md detailing the neural network and AI/ML infrastructure, including architecture, components, usage patterns, and next steps.
- Introduced DATABASE.md for the Database module, outlining key components, design highlights, usage patterns, and future enhancements.
- Created README.md files for Enumerations, Expert, Money, Signals, Structures, System, Trailing, Variables directories, detailing their purpose, key components, and integration notes.
- Documented the Signals subsystem, emphasizing modularity, extensibility, and AI/ML readiness.
- Added comprehensive descriptions for individual signal modules in Signals/ directory.
- Established clear integration notes and recommendations for future improvements across all modules.
