PROJECT STATUS - Trading Platform (trading-platform)
Fecha: 2026-01-27
Estado: Desarrollo Activo - Post MVP
Completitud Global: ~60%
Resumen Ejecutivo
| Aspecto |
Estado |
Completitud |
Notas |
| Database DDL |
Completo |
95% |
10 schemas, 89 tablas, pgvector agregado |
| Seeds |
Parcial |
70% |
Symbols, products, tickers, admin creados |
| Backend API |
Parcial |
48% |
113+ endpoints, ~50% implementados |
| Frontend SPA |
Parcial |
65% |
189 components, services criticos faltantes |
| ML Engine |
Funcional |
75% |
3-level pipeline, 12 attention models |
| Data Service |
Incompleto |
20% |
Solo estructura |
| LLM Agent |
Parcial |
45% |
Sin persistence layer |
| Trading Agents |
Funcional |
75% |
Atlas, Orion, Nova |
| Tests |
Bajo |
15% |
153 E2E (video upload) |
| Documentacion |
Alta |
85% |
280+ archivos, inventarios sync |
Progreso por Epica (Actualizado 2026-01-27)
| Epica |
Modulo |
DDL |
Backend |
Frontend |
ML |
Total |
| OQI-001 |
Auth |
100% |
90% |
70% |
N/A |
85% |
| OQI-002 |
Education |
100% |
40% |
80% |
N/A |
55% |
| OQI-003 |
Trading |
100% |
50% |
90% UI |
N/A |
60% |
| OQI-004 |
Investment |
100% |
35% |
35% |
N/A |
55% |
| OQI-005 |
Payments |
100% |
50% |
80% |
N/A |
65% |
| OQI-006 |
ML Signals |
100% |
70% |
95% |
75% |
75% |
| OQI-007 |
LLM Agent |
100% |
40% |
45% |
60% |
45% |
| OQI-008 |
Portfolio |
100% |
45% |
0% |
N/A |
45% |
| OQI-009 |
MT4 Gateway |
0% |
0% |
0% |
N/A |
15% |
Servicios y Puertos (Estandarizados 2026-01-27)
| Servicio |
Puerto |
Stack |
Estado |
| Frontend |
3080 |
React + Vite |
Desarrollo |
| Backend API |
3081 |
Express.js 5.0.1 |
Desarrollo |
| WebSocket |
3082 |
ws (Express) |
Implementado |
| ML Engine |
3083 |
FastAPI (Python) |
Funcional |
| Data Service |
3084 |
FastAPI (Python) |
20% |
| LLM Agent |
3085 |
FastAPI (Python) |
Parcial |
| Trading Agents |
3086 |
FastAPI (Python) |
Funcional |
| MCP Wallet |
3090 |
TypeScript |
Definido |
| MCP Products |
3091 |
TypeScript |
Definido |
| MCP VIP |
3092 |
TypeScript |
Definido |
| MCP Investment |
3093 |
TypeScript |
Definido |
| MCP Predictions |
3094 |
TypeScript |
Definido |
| MCP Auth |
3095 |
TypeScript |
Definido |
| PostgreSQL |
5432 |
Nativo WSL |
Activo |
| Redis |
6379 |
Nativo WSL |
Activo |
| Ollama |
11434 |
Docker |
Opcional |
Modelos ML Implementados
| Modelo |
Tipo |
Framework |
Precision |
Estado |
| Attention (L0) |
Filter |
XGBoost |
N/A |
12 modelos entrenados |
| RangePredictorV2 (L1) |
Regression |
XGBoost |
R2: 0.48-0.55 |
Entrenado |
| AMDDetectorML (L1) |
Classification |
XGBoost |
Dir: 92%+ |
Entrenado |
| MovementMagnitude (L1) |
Regression |
XGBoost |
Functional |
Entrenado |
| XGBoost Metamodel (L2) |
Stacking |
XGBoost |
Default |
Configurado |
| Neural Gating (L2) |
Neural |
PyTorch |
XAUUSD only |
Configurado |
Credenciales BD (Estandarizadas)
Database: trading_platform
User: trading_user
Password: trading_dev_2026
Port: 5432
Host: localhost
Redis DB: 1
Schemas: auth, education, trading, investment, financial, portfolio, market_data, ml, llm, audit
Tareas Completadas (20)
| Periodo |
Completadas |
Tipo |
| 2026-01-27 |
3 (BLOCKER-001, E2E-VIDEO, MASTER-ANALYSIS) |
Refactor, Testing, Analysis |
| 2026-01-26 |
3 (Integration Plan, LLM Panels, ML Panels) |
Analysis, Feature x2 |
| 2026-01-25 |
14 (MVP, Notifications, ML Migration, etc) |
Feature, Analysis, Docs |
Blockers Activos
| ID |
Descripcion |
Impacto |
Prioridad |
B-001 |
trading.service.ts no existe en frontend |
RESUELTO - existe y funciona |
P0 |
B-002 |
auth.service.ts no existe en frontend |
RESUELTO - existe y funciona |
P0 |
B-003 |
Backend admin retorna mock data |
RESUELTO - wired to real DB |
P1 |
| B-004 |
Frontend token key inconsistency (auth_token vs token) |
Auth failures en 3 services |
P1 RESUELTO |
| B-005 |
OQI-009 MT4 Gateway 0% funcional |
Feature no disponible |
P2 |
| B-006 |
Backend config defaults incorrectos (port, DB) |
Conexion falla sin .env |
P1 RESUELTO |
Proximas Acciones (ver TASK-2026-01-27-MASTER-ANALYSIS-PLAN)
Recrear BD en WSL con DDL + seeds actualizados COMPLETADO (90 tablas, 10 schemas, pgvector)Implementar frontend service layers (auth, trading) YA EXISTIAN (14 services)Backend admin wired to real DB COMPLETADO- Ejecutar OOS backtesting (12 meses excluidos)
- Implementar pages faltantes (portfolio, investment, settings)
- Integration testing
Recursos del Sistema
| Recurso |
Especificacion |
Uso |
| GPU |
NVIDIA RTX 5060 Ti (16GB VRAM) |
ML + LLM |
| CUDA |
13.0 |
XGBoost GPU, PyTorch |
| Modelo LLM |
Llama 3 8B |
~10GB VRAM via Ollama |
Ultima actualizacion: 2026-01-27
Actualizado por: Claude Code (Opus 4.5) - Analisis Maestro
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