Commit graph Warrior_EA/Trailing
Author SHA1 Message Date
a228d1bde7 feat(trade): implement trade safety checks per Article 2555 and resource limits
Add freeze-level checks, no-change modification skipping, entry price routing, and per-tick/memory budget monitoring. Override trade actions (Open, Close, Reverse, TrailingStop, TrailingOrder) to validate at the final gate before sending orders.
2026-07-26 23:08:32 -04:00
AnimateDread
5247c34fe9 fix: add error logging for buffer failures and reject trades on invalid stop loss 2026-07-26 12:12:14 -04:00
AnimateDread
0f0958856c feat: restructure input enums with intelligent SL/TP and AI exit
Replace old ATR_MULTIPLIER, THRESHOLDS_PRESET enums with new
STOP_LOSS_MODE, TAKE_PROFIT_MODE, AI_EXIT_MODE enums that support
ATR-based, intelligent confidence-scaled, and swing-anchored modes.
Also fix LSTM signal identity string.
2026-07-22 13:33:56 -04:00
AnimateDread
1204b9df97 feat: add percentage-based CPU load input for fallback tier
Replace the absolute thread count input (CpuDllThreads) with a percentage-based CPU_LOAD_PRESET enum (TargetCPULoad). This allows users to specify a percentage of detected cores to use when the CPU DLL fallback is active, improving flexibility and preventing issues when multiple instances share the same CPU DLL pool. Also adds CPU_GetHardwareConcurrency() for accurate core detection.
2026-07-14 18:04:48 -04:00
AnimateDread
8157c42314 feat: Enhance README and documentation for Warrior_EA project
- 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.
2026-04-20 19:28:34 -04:00
super.admin
0a527b0cf9 convert 2025-05-30 16:35:54 +02:00