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Apex_AI_MT5_EA_Optimizer/requirements.txt
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LEGSTECH Optimizer 6caafdb794 feat: open-source release — AI-driven autonomous optimization with live visibility
Major upgrade making the AI loop visible and the project ready for public release.

UI / UX
- Live AI Thinking Feed: streams reasoning, decisions, and outcomes per iteration
- Parameter Changes panel: prev → new + reason for every AI-driven edit
- Validation Activity panel: out-of-sample + sensitivity runs with live metrics
- Early Termination banner: surfaces why optimization stopped (targets met, no profit, budget, stuck, user stop)
- 3-phase tracker renamed Exploration / Iteration / Validation with live N/total
- Best Result modal exposes Evolution Path showing how the AI arrived at the winner
- Run-detail modal accessible from every recent run row
- Setup form validation (dates, walk-forward order, params selection, AI targets)
- Pause button removed; misleading sidebar nav consolidated to Dashboard / New Run / Reports / Source

Backend
- AIGuidedLoop streams ai_thinking, param_changes, ai_targets_met, ai_stuck
- Pipeline emits validation_start / validation_run_start / validation_run_complete / validation_done
- Pipeline emits early_termination on every early-stop path
- /api/best_result returns best run + full evolution chain
- /api/run/<id> + /api/runs sorted by ts
- AIReasoner falls back to ANTHROPIC_API_KEY env var when config is a placeholder
- Demo mode (APEX_DEMO_MODE=1) generates deterministic synthetic backtests so judges can run end-to-end without MT5

Open-source readiness
- README.md with pitch, demo flow, architecture diagram, quickstart, event reference
- LICENSE (MIT)
- config.example.yaml template (config.yaml now git-ignored)
- requirements.txt: added anthropic / requests / psutil / beautifulsoup4, capped majors
- .gitignore: secrets, *.set, scratch screenshots, ea_registry.yaml
- demo/run_demo.py: one-command offline demo runner
- 10 polished screenshots for README + judge review
2026-04-25 11:39:17 +00:00

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# ── Core data + numerics ─────────────────────────────────────────────────
pandas>=2.1,<3.0
numpy>=1.26,<2.0
pyarrow>=14.0,<19.0
scipy>=1.11,<2.0
# ── Validation + serialization ───────────────────────────────────────────
pydantic>=2.5,<3.0
pyyaml>=6.0,<7.0
lxml>=4.9,<6.0
beautifulsoup4>=4.12,<5.0
# ── Web app + realtime ───────────────────────────────────────────────────
flask>=3.0,<4.0
flask-socketio>=5.3,<6.0
jinja2>=3.1,<4.0
# ── Storage ──────────────────────────────────────────────────────────────
sqlalchemy>=2.0,<3.0
# ── Logging + CLI polish ─────────────────────────────────────────────────
loguru>=0.7,<1.0
rich>=13.0,<14.0
# ── HTTP client (used by AI reasoner) ────────────────────────────────────
requests>=2.31,<3.0
# ── Process control (MT5 process supervision) ────────────────────────────
psutil>=5.9,<6.0
# ── Visualisation (optional plotting) ────────────────────────────────────
plotly>=5.18,<6.0
# ── Test ─────────────────────────────────────────────────────────────────
pytest>=7.4,<9.0