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I'm structuring this as a detailed INSTRUCCIONES_CLAUDE_CODE.md document that covers the technical stack decision (likely Next.js for simplicity and deployability given the non-technical user constraint), data sources with free/cheap tiers like yfinance and Alpha Vantage, LLM integration via OpenRouter, a guided setup wizard for API keys, and core features including watchlist management, technical screeners, indicator libraries, alerts, and a thesis journal. I need to structure this as a comprehensive Spanish-language document covering the agent prompts, scheduled jobs, legal disclaimers, acceptance criteria, and a phased implementation roadmap for Claude Code, plus the necessary CLI commands—aiming for around 400-600 lines to capture everything without omission.ad:T97f,41:o97f,I'm drafting the Claude Code instructions in Spanish, settling on the key technical decisions: using Next.js 15+ as a full-stack framework for simplicity, choosing between Neon or local SQLite for the database, targeting US and Mexico markets with all discovery modes enabled, integrating open-source LLMs through OpenRouter at roughly $100 monthly, incorporating advanced technical analysis, and designing a guided setup flow that gets a functional MVP running on day one for non-technical users. For the database and deployment strategy, I'm leaning toward SQLite with Drizzle ORM for local development since it requires zero configuration, paired with node-cron for scheduling tasks that run on the user's machine via `npm run dev` or `npm start`—keeping it simple for personal use with optional Vercel deployment later. For technical indicators, I'll use the `technicalindicators` npm package to handle the analysis calculations. On the LLM side, I'm routing reasoning-heavy tasks to Kimi K2 or Qwen3 Max while using smaller Qwen models for cheaper operations, with token accounting and a monthly budget cap of $100. For data sources, I'm pulling US stocks from Yahoo Finance (free via the yahoo-finance2 npm package) and Finnhub for news and fundamentals. For Mexican markets, Yahoo Finance covers .MX tickers directly, and I'll supplement with news from Finnhub and RSS feeds from Yahoo Finance, El Economista, and Expansión. Macro data comes from FRED API and Banxico's SIE API, both free with API keys. The setup wizard will guide users through a first-run onboarding flow with step-by-step screens for obtaining each API key, test buttons to verify them, and storage in either `.env.local` or an encrypted settings table in the database—the latter being simpler for non-technical users. The app will include modules for data ingestion, a full technical analysis engine with trend, momentum, volatility, volume, candlestick patterns, support/resistance levels, divergences, and multi-timeframe analysis, plus a screener, LLM analyst agent, watchlist, immutable theses with scoring, alerts, dashboard, and chat interface. The agent prompts will be in Spanish with real market context. Now I need to write a comprehensive implementation plan document for Claude Code with staged rollout, acceptance criteria, and specific commands—roughly 500–700 lines—that supersedes the earlier decision section in the brief.41:o9,ae:T5ea1,41:o5ea1,[V0_FILE]markdown:file="/INSTRUCCIONES_CLAUDE_CODE.md" # INSTRUCCIONES PARA CLAUDE CODE — "ANALISTA" (Sistema de Investigación y Análisis de Mercados Financieros) **Versión:** 1.0 **Idioma del producto:** Español (toda la UI, informes, alertas y análisis) **Usuario final:** Una sola persona, SIN conocimientos técnicos. No sabe qué es una API, una terminal ni un archivo .env. **Documento padre:** `BRIEF.md` (este documento cierra sus decisiones abiertas de §12) --- ## 0. TU ROL Y REGLAS INQUEBRANTABLES Eres el ingeniero responsable de construir este sistema de principio a fin. Reglas absolutas: 1. **El MVP debe ser 100% funcional desde el día 1.** Al terminar, el usuario ejecuta UN solo comando, abre el navegador, completa un asistente de configuración guiado y empieza a analizar el mercado. Nada de "TODO", nada de funciones stub, nada de datos falsos/mock en producción. 2. **Cero conocimientos técnicos requeridos del usuario.** Toda configuración (claves de API incluidas) se hace desde la interfaz web con instrucciones paso a paso, capturas de contexto y botones de "Probar conexión". El usuario NUNCA edita archivos. 3. **Trazabilidad total.** Cada análisis, cada tesis y cada alerta enlaza a los datos y fuentes exactas que la sustentan, con timestamp. 4. **Registro inmutable.** Las tesis y análisis emitidos jamás se editan retroactivamente. Solo se les añaden actualizaciones con nuevo timestamp. 5. **Honestidad radical.** El sistema cuantifica su incertidumbre, declara cuándo no tiene datos suficientes y muestra su historial completo de aciertos Y errores. Prohibido el lenguaje de certeza ("va a subir") — siempre probabilístico y condicionado. 6. **No es asesoría financiera.** Disclaimer visible y permanente. El sistema informa y argumenta; el humano decide. No ejecuta operaciones jamás. 7. **Presupuesto:** el gasto en LLM no debe superar **$100 USD/mes**. Implementa contabilidad de tokens y un límite duro configurable. 8. **Commits frecuentes y descriptivos.** Trabaja por etapas (ver §10) y verifica cada etapa antes de avanzar. --- ## 1. RESUMEN DEL PRODUCTO Una aplicación web local llamada **"Analista"** que actúa como un analista de investigación de mercados de élite trabajando para el usuario: - **Cobertura:** mercado de valores de **Estados Unidos** (NYSE, NASDAQ, AMEX: acciones, ETFs, índices) y **México** (BMV/BIVA vía tickers `.MX` de Yahoo Finance). - **Modos de trabajo:** (a) **Watchlist** — vigilancia profunda y continua de los activos que el usuario sigue; (b) **Descubrimiento activo** — screeners sistemáticos que rastrean todo el universo buscando configuraciones técnicas y oportunidades emergentes que el usuario NO está mirando. - **Especialidad central:** análisis técnico y gráfico de nivel profesional avanzado (ver §5 — es el corazón del sistema), complementado con contexto fundamental y de noticias. - **Motor de razonamiento:** LLMs de bajo coste vía OpenRouter (Qwen y Kimi, ver §6). - **Ciclo de rendición de cuentas:** toda tesis emitida se registra de forma inmutable y se puntúa después contra la realidad (track record auditable). --- ## 2. STACK TÉCNICO (obligatorio) | Capa | Tecnología | Razón | |---|---|---| | Framework | **Next.js 15+ (App Router, TypeScript)** | Una sola app: UI + API + jobs. Un solo comando para arrancar | | Base de datos | **SQLite** (archivo local `data/analista.db`) vía **Drizzle ORM** + `better-sqlite3` | Cero configuración para el usuario. Sin cuentas externas | | Scheduler | **node-cron** dentro del proceso del servidor (instrumentation.ts o servidor custom) | El sistema trabaja solo mientras la app está abierta | | Datos de mercado | **`yahoo-finance2`** (npm, gratis, sin clave) como fuente primaria | Cubre US y México (.MX), OHLCV histórico e intradía retrasado, fundamentales básicos, sin coste | | Noticias + fundamentales extra | **Finnhub** (plan gratis) + **RSS** (fuentes en §4.3) | Gratis con clave | | Macro US | **FRED API** (gratis) | Tasas, inflación, empleo | | Macro México | **Banxico SIE API** (gratis) | Tipo de cambio, TIIE, inflación MX | | LLM | **OpenRouter** (`openai` SDK compatible o AI SDK) | Acceso a Qwen y Kimi con una sola clave | | Indicadores técnicos | Implementación propia en TypeScript (módulo `lib/ta/`) + `technicalindicators` (npm) como base verificada | Control total y sin dependencias frágiles | | Gráficos | **lightweight-charts** (TradingView, open source) | Velas japonesas profesionales, overlays de indicadores | | UI | Tailwind CSS + shadcn/ui, tema oscuro por defecto | Estética de terminal financiera | **Distribución al usuario:** un script `instalar.command` (macOS) / `instalar.bat` (Windows) que instala dependencias y crea un acceso directo `Analista.command`/`Analista.bat` que ejecuta `npm run start` y abre `http://localhost:3000` en el navegador. Documenta esto en un `LEEME.md` escrito para no técnicos. --- ## 3. ASISTENTE DE CONFIGURACIÓN GUIADO (primera ejecución) — CRÍTICO Al abrir la app por primera vez (o si falta configuración), se muestra un **wizard a pantalla completa en español**, paso a paso. El usuario no debe saber qué es una API: el wizard se lo explica como "llaves de acceso gratuitas a datos". ### Pasos del wizard **Paso 0 — Bienvenida:** qué es Analista, qué hace y qué NO hace (no es asesoría, no predice el futuro, no opera por ti). Checkbox de aceptación del disclaimer. **Paso 1 — Motor de IA (OpenRouter) [OBLIGATORIO]:** - Explica: "Analista necesita un cerebro de IA. Usaremos OpenRouter, un servicio donde pagas solo lo que usas (~$20–80 USD/mes con uso intensivo)." - Instrucciones numeradas con enlaces directos: 1) Entra a `https://openrouter.ai` y crea una cuenta. 2) Ve a `https://openrouter.ai/settings/keys` y pulsa "Create Key". 3) Copia la llave (empieza con `sk-or-`) y pégala aquí. 4) Añade crédito ($10 para empezar) en `https://openrouter.ai/settings/credits`. - Campo de texto + botón **"Probar conexión"** que hace una llamada mínima real y muestra ✓ o el error en lenguaje llano ("La llave no es válida. Verifica que la copiaste completa."). **Paso 2 — Datos de mercado:** informa que los precios de acciones de EE.UU. y México ya funcionan sin configuración (Yahoo Finance). Botón "Probar" que descarga una vela de AAPL y de AMXB.MX y las muestra. **Paso 3 — Noticias (Finnhub) [RECOMENDADO, omitible]:** mismas instrucciones guiadas (registro gratis en `https://finnhub.io/register`, copiar API key del dashboard) + probar conexión. Si se omite, el sistema funciona solo con RSS. **Paso 4 — Macro (FRED y Banxico) [OPCIONAL, omitible]:** instrucciones guiadas para `https://fred.stlouisfed.org/docs/api/api_key.html` y `https://www.banxico.org.mx/SieAPIRest/service/v1/token`. Probar conexión cada una. **Paso 5 — Presupuesto y ritmo:** límite mensual de gasto LLM (default $100, con barra de progreso visible siempre en la app), y frecuencia de los ciclos automáticos (default: escaneo técnico cada 15 min en horario de mercado; ciclo de análisis profundo 3 veces al día: pre-apertura ~8:00, media sesión ~12:30, post-cierre ~16:30, hora CDMX; noticias cada 30 min). **Paso 6 — Watchlist inicial:** buscador de tickers (autocompletado vía Yahoo) para añadir 5–30 activos. Ofrece una sugerencia de inicio (p. ej. SPY, QQQ, AAPL, MSFT, NVDA, AMZN, WALMEX.MX, AMXB.MX, GFNORTEO.MX, CEMEXCPO.MX) que el usuario puede aceptar o editar. **Paso 7 — Fin:** "Analista está trabajando. Primer informe en ~5 minutos." → lanza inmediatamente un ciclo completo de análisis sobre la watchlist para que el día 1 haya resultados reales. Las claves se guardan en la tabla `settings` de SQLite (nunca pedir al usuario tocar archivos). Toda pantalla de la app debe tener acceso a "Configuración" para re-editar y re-probar claves. --- ## 4. MÓDULO DE INGESTA DE DATOS ### 4.1 Precios y velas (Yahoo Finance, sin clave) - OHLCV histórico: diario (2+ años), semanal, y 60m/15m para lo intradía disponible. - Al añadir un activo a la watchlist: descarga histórico completo y calcula todos los indicadores. - Refresco: watchlist cada 15 min en horario de mercado (NYSE 9:30–16:00 ET; BMV 8:30–15:00 CDMX); universo de screening 1 vez al día tras el cierre. - Cachea todo en SQLite (tabla `candles`) para no re-descargar y para funcionar parcialmente offline. - Maneja con gracia rate limits y fallos de red: reintentos con backoff, y nunca romper la UI por un fallo de datos (mostrar "dato no disponible, última actualización HH:MM"). ### 4.2 Universo para descubrimiento - **US:** componentes del S&P 500 + NASDAQ 100 + Russell 1000 (lista estática incluida en el repo, actualizable) + ETFs líquidos principales. Filtro de liquidez: volumen promedio > 500k acciones/día. - **MX:** los ~35 componentes del IPC + las emisoras líquidas de BMV/BIVA con ticker Yahoo `.MX` (lista estática incluida, ~60 emisoras). - Total ≈ 1,100 activos escaneados diariamente con indicadores calculados localmente (coste LLM: cero — el LLM solo interviene sobre los candidatos filtrados). ### 4.3 Noticias - Finnhub company news para watchlist (si hay clave). - RSS siempre activos: Yahoo Finance, Reuters Business, CNBC Markets, Investing.com, El Economista (MX), Expansión (MX), El Financiero (MX). - Deduplicación por similitud de titular. Clasificación por LLM barato (ver §6): activo(s) afectado(s), tipo (resultados, M&A, regulatorio, macro, opinión, promocional), relevancia 1–5, sentimiento. Guardar procedencia completa. ### 4.4 Macro y calendario - FRED: tasas FED, CPI, empleo, curva de rendimientos. Banxico: TIIE, USD/MXN, inflación MX. - Calendario de earnings de la watchlist (Yahoo/Finnhub) con alertas 5 días y 1 día antes. --- ## 5. MOTOR DE ANÁLISIS TÉCNICO AVANZADO (el corazón del sistema) Implementa en `lib/ta/` una biblioteca completa, **calculada localmente en TypeScript** (determinista, testeada, coste cero). El LLM nunca "calcula" indicadores: los recibe ya computados y los interpreta. ### 5.1 Indicadores (todos, multi-timeframe: diario, semanal, 60m) - **Tendencia:** SMA/EMA (9, 20, 50, 100, 200), cruces (golden/death cross), MACD (12,26,9) con histograma y cruces, ADX/DMI (+DI/−DI), Supertrend, Ichimoku completo (Tenkan, Kijun, Senkou A/B, Chikou, posición vs nube), regresión lineal de tendencia con pendiente y R². - **Momentum:** RSI (14) con zonas y **divergencias regulares y ocultas** (algoritmo de detección por pivotes), Estocástico (14,3,3), Williams %R, ROC, CCI, MFI. - **Volatilidad:** Bandas de Bollinger (20,2) con %B y **squeeze** (BB dentro de Keltner), ATR y ATR%, Keltner Channels, volatilidad histórica 20/60d. - **Volumen:** OBV con divergencias, VWAP (intradía y anclado a eventos), acumulación/distribución, Chaikin Money Flow, volumen relativo (RVOL), perfil de volumen aproximado por niveles de precio (Point of Control, Value Area). - **Estructura de precio:** detección de pivotes (swing highs/lows), **soportes y resistencias** por clustering de pivotes + niveles de volumen, líneas de tendencia automáticas por pivotes, retrocesos y extensiones de **Fibonacci** desde swings relevantes, máximos/mínimos de 52 semanas, gaps (comunes, de ruptura, de agotamiento) y su estado (abierto/llenado), pivots points clásicos (P, R1–R3, S1–S3). - **Patrones de velas** (sobre las últimas N velas): doji, martillo, hombre colgado, envolvente alcista/bajista, estrella de la mañana/tarde, tres soldados blancos/cuervos negros, harami, pin bars — con contexto (un martillo solo importa en soporte tras caída). - **Patrones chartistas** (detección algorítmica por pivotes, con score de confianza): doble techo/suelo, hombro-cabeza-hombro y su inversa, triángulos (ascendente/descendente/simétrico), canales, banderas y banderines, cuñas, tazas con asa, rangos de consolidación y sus rupturas **con confirmación de volumen**. - **Fuerza relativa:** ratio del activo vs SPY (o vs IPC para MX) y su tendencia; ranking de momentum del universo (estilo 12-1 meses). - **Régimen de mercado:** clasificador de contexto (tendencia alcista/bajista/rango + volatilidad alta/baja) para SPY, QQQ e IPC — todo análisis individual se condiciona al régimen. ### 5.2 Score técnico compuesto Para cada activo y timeframe, computa un **score técnico 0–100** transparente y descomponible (tendencia 30%, momentum 25%, volumen 15%, estructura/patrones 20%, fuerza relativa 10% — pesos configurables). Guarda el desglose completo: el usuario siempre puede ver POR QUÉ un activo puntúa 78. ### 5.3 Confluencia y setups Un "setup" se emite solo con **confluencia** (≥3 factores independientes alineados, p. ej.: rebote en soporte + divergencia alcista RSI + squeeze de Bollinger resolviéndose al alza + RVOL > 1.5). Cada setup incluye: tipo, dirección, factores de confluencia, nivel de invalidación técnica (precio exacto), zona objetivo por estructura, y ratio riesgo/beneficio implícito. **Nunca emitir "compra/vende"** — se emite "configuración técnica detectada" con toda la evidencia. ### 5.4 Tests obligatorios Tests unitarios de CADA indicador contra valores de referencia conocidos (series de ejemplo con resultados verificados). Si un indicador no pasa sus tests, no se usa. --- ## 6. CAPA DE IA (OpenRouter) Y CONTROL DE COSTES ### 6.1 Modelos y enrutamiento Crea `lib/llm/router.ts` con dos niveles (IDs de modelo configurables en Configuración, con estos defaults — **verifica en openrouter.ai/models los IDs exactos disponibles al momento de construir y ajusta**): | Nivel | Modelo default | Uso | |---|---|---| | **Razonador** (análisis profundo) | `moonshotai/kimi-k2` (alternativa: `qwen/qwen3-max` o el Qwen razonador más reciente) | Análisis integral de activos, redacción de tesis, informes, abogado del diablo, chat | | **Rápido/barato** (clasificación) | El Qwen pequeño más barato disponible (p. ej. `qwen/qwen3-30b-a3b` o similar) | Clasificar noticias, extraer entidades, resúmenes cortos, deduplicación semántica | ### 6.2 Contabilidad y límite duro - Registra CADA llamada en tabla `llm_calls`: modelo, tokens in/out, coste estimado, propósito, timestamp. - Widget permanente en la UI: "Gasto del mes: $X.XX / $100.00". - Al 80% del límite: alerta y modo ahorro (solo watchlist, sin descubrimiento). Al 100%: se detienen las llamadas LLM (el motor técnico local sigue funcionando al 100%) y se notifica al usuario. ### 6.3 Principio de eficiencia El 95% del trabajo pesado (indicadores, screeners, scores) es local y gratuito. El LLM solo interpreta candidatos ya filtrados y datos ya computados. Estimación objetivo: 30–60 análisis profundos/día ≈ $1–3 USD/día. ### 6.4 Prompt de sistema del Analista (usar como base, en español) ``` Eres "Analista", un analista senior de mercados financieros con formación cuantitativa avanzada y dominio experto del análisis técnico y chartista clásico y moderno. Trabajas para un solo cliente. Tu reputación depende de tu honestidad, no de parecer seguro. REGLAS: 1. Solo puedes afirmar lo que los DATOS PROPORCIONADOS sustentan. Si falta un dato, dilo. 2. Separa siempre: HECHOS (datos verificados) / INTERPRETACIÓN (tu lectura) / ESPECULACIÓN. 3. Presenta SIEMPRE el caso alcista Y el caso bajista antes de concluir. 4. Cuantifica tu convicción de 1 a 10 y justifícala. Prohibido el lenguaje de certeza. 5. Toda configuración técnica debe incluir: nivel de invalidación exacto, y qué evidencia nueva te haría cambiar de opinión. 6. No das recomendaciones de compra/venta ni asesoría financiera. Analizas y presentas evidencia; el cliente decide. 7. Escribes en español claro y profesional, sin jerga innecesaria y sin adornos vacíos. 8. Condiciona todo análisis individual al régimen de mercado vigente que se te proporciona. ``` ### 6.5 Pipelines LLM 1. **Análisis integral de activo** (razonador): recibe JSON con todos los indicadores multi-timeframe, setups detectados, S/R, noticias recientes clasificadas, fundamentales básicos, régimen de mercado → produce análisis estructurado (resumen, lectura técnica por timeframe, caso alcista, caso bajista, niveles clave, convicción, invalidación). 2. **Clasificador de noticias** (barato): titular + resumen → JSON {activos, tipo, relevancia, sentimiento}. 3. **Generador de tesis** (razonador): a partir de un setup de alta confluencia + análisis integral → tesis formal (ver §7). 4. **Abogado del diablo** (razonador): recibe una tesis activa + datos nuevos → busca activamente evidencia contraria y evalúa si la invalidación está cerca. 5. **Informes** (razonador): informe matutino y de cierre (ver §8.4). 6. **Chat de investigación** (razonador): conversación con acceso a herramientas internas (obtener indicadores de un ticker, buscar noticias guardadas, consultar tesis, comparar activos). Cada respuesta cita sus fuentes internas. --- ## 7. TESIS DE INVERSIÓN Y VALIDACIÓN (diferenciador central) ### 7.1 Estructura de una tesis (tabla `theses`, inmutable) `id, ticker, dirección (alcista/bajista/neutral), afirmación_central, evidencia_a_favor (array con fuentes), evidencia_en_contra (array con fuentes), supuestos_clave, catalizadores, horizonte (corto: días / swing: semanas / posicional: meses), precio_al_emitir, nivel_invalidación (precio), zona_objetivo, convicción (1-10), estado (activa/acertada/fallida/invalidada/expirada), created_at, resolved_at, resolución_notas`. ### 7.2 Reglas - **Inmutabilidad:** sin UPDATE de contenido. Actualizaciones → tabla `thesis_updates` (append-only, con timestamp). - **Resolución automática:** cada ciclo verifica precio vs invalidación/objetivo/horizonte. Precio toca invalidación → `invalidada`. Toca objetivo dentro de horizonte → `acertada`. Expira horizonte sin resolución → evaluar por dirección y marcar `acertada parcial/fallida/expirada` con criterio documentado en código. - **Track record:** página dedicada con tasa de acierto global, por dirección, por horizonte, por rango de convicción (**gráfico de calibración**: convicción declarada vs % acierto real), y lista completa de tesis resueltas — fallos incluidos, siempre visibles. --- ## 8. CICLOS AUTOMÁTICOS (scheduler) | Job | Frecuencia | Qué hace | |---|---|---| | `refresh-watchlist` | Cada 15 min (horario de mercado) | Velas + indicadores + detección de setups en watchlist. Solo local, sin LLM | | `scan-noticias` | Cada 30 min | RSS/Finnhub → deduplicar → clasificar (LLM barato) → alertar si relevancia ≥4 en watchlist | | `ciclo-profundo` | 3×/día (pre-apertura, media sesión, cierre; hora CDMX) | Análisis integral LLM de: activos de watchlist con cambios significativos + top candidatos del descubrimiento. Genera/actualiza tesis. Corre abogado del diablo sobre tesis activas | | `descubrimiento` | 1×/día (post-cierre) | Screening del universo completo (§4.2) con el motor técnico → ranking por score y confluencia → top 10–15 candidatos → análisis LLM de los top 5 nuevos | | `resolucion-tesis` | 1×/día | Verificar invalidaciones/objetivos/expiraciones; actualizar track record | | `informe-matutino` | 1×/día ~7:30 CDMX | Informe del día (ver §8.4) | | `informe-cierre` | 1×/día ~16:45 CDMX | Resumen de la sesión | Todos los jobs: log en tabla `job_runs` (inicio, fin, resultado, errores), visibles en la UI ("Actividad del sistema"). Si la app estuvo cerrada, al arrancar ejecuta un ciclo de puesta al día. ### 8.4 Informes **Matutino:** régimen de mercado (US y MX), eventos macro/earnings del día, estado de la watchlist (cambios técnicos relevantes), tesis activas y su salud, top oportunidades del descubrimiento con su evidencia. **Cierre:** qué pasó, qué setups se activaron/invalidaron, cambios en tesis. Ambos en español, concisos, con enlaces a los análisis completos. --- ## 9. INTERFAZ (páginas, todas en español, tema oscuro) 1. **`/` Panel principal:** régimen de mercado (semáforos US/MX), informe del día, alertas recientes, tesis activas resumidas, top oportunidades del descubrimiento, widget de gasto LLM. 2. **`/watchlist`:** tabla densa y ordenable — precio, cambio %, RVOL, score técnico (con desglose al hover/click), setups activos, mini-sparkline. Añadir/quitar tickers con buscador. 3. **`/activo/[ticker]`:** gráfico de velas profesional (lightweight-charts) con overlays seleccionables (EMAs, Bollinger, Ichimoku, S/R, Fibonacci, señales), panel de indicadores multi-timeframe, patrones detectados, análisis integral más reciente (con botón "Analizar ahora"), noticias del activo, tesis e historial del activo. 4. **`/descubrimiento`:** ranking diario del screener con score, factores de confluencia y acceso al análisis de cada candidato; filtros por mercado (US/MX), sector y tipo de setup. 5. **`/tesis`:** tesis activas (con salud: distancia a invalidación/objetivo, resultado del último abogado del diablo) e historial resuelto. 6. **`/track-record`:** métricas de calibración y desempeño (§7.2). Sin maquillaje. 7. **`/chat`:** chat de investigación con el Analista (§6.5.6), con historial persistente. 8. **`/actividad`:** log de jobs, ingesta y llamadas LLM (transparencia operativa). 9. **`/configuracion`:** claves (con probar conexión), presupuesto, frecuencias, modelos LLM, universo de screening. Disclaimer permanente en el footer: *"Analista es una herramienta de investigación. No constituye asesoría financiera. Toda decisión de inversión es responsabilidad del usuario."* --- ## 10. PLAN DE CONSTRUCCIÓN (ejecuta en este orden, verifica cada etapa) 1. **Etapa 1 — Esqueleto:** Next.js + SQLite + Drizzle (schema completo) + scheduler + layout base en español. ✅ Verifica: app arranca, DB se crea, un job dummy corre y se loguea. 2. **Etapa 2 — Wizard de configuración (§3):** completo, con pruebas de conexión reales. ✅ Verifica: flujo completo de primera ejecución sin tocar archivos. 3. **Etapa 3 — Ingesta de precios:** yahoo-finance2 + cache en SQLite + watchlist funcional con precios reales US y MX. ✅ Verifica: AAPL y WALMEX.MX muestran velas reales. 4. **Etapa 4 — Motor TA (§5):** todos los indicadores + tests unitarios + score compuesto + detección de setups. ✅ Verifica: tests pasan; el desglose del score es coherente en 5 tickers reales. 5. **Etapa 5 — Página de activo con gráfico** (lightweight-charts + overlays + panel de indicadores). ✅ Verifica visual. 6. **Etapa 6 — Capa LLM (§6):** router, contabilidad de costes, análisis integral de activo, clasificador de noticias. ✅ Verifica: un análisis real de NVDA con datos reales, coste registrado. 7. **Etapa 7 — Ingesta de noticias + macro (§4.3, §4.4).** 8. **Etapa 8 — Tesis + resolución + track record (§7).** 9. **Etapa 9 — Descubrimiento (§4.2 universo + screener + ranking + análisis top).** 10. **Etapa 10 — Ciclos completos + informes (§8) + chat (§6.5.6).** 11. **Etapa 11 — Pulido:** manejo de errores en lenguaje llano, estados vacíos con guía, LEEME.md no técnico, scripts de instalación/arranque (§2), revisión final del flujo día-1 completo de punta a punta. **Prueba de aceptación final (simula ser el usuario):** instalación desde cero → wizard completo → watchlist con datos reales → primer informe generado → un análisis integral real → una tesis emitida con invalidación → chat responde con citas → gasto LLM visible. Si algo de esto falla, el MVP no está terminado. --- ## 11. FUERA DE ALCANCE DEL MVP (no lo construyas) - Ejecución de órdenes o conexión a brokers. - Datos de nivel 2, tiempo real por WebSocket, u opciones/derivados. - Backtesting histórico de estrategias (fase futura). - Multiusuario, autenticación, despliegue en la nube. - Apps móviles o notificaciones push externas (las alertas viven en la app). --- *Cualquier ambigüedad: resuélvela a favor de la simplicidad, la honestidad del sistema y la experiencia del usuario no técnico. Cuando tengas que elegir entre "más funciones" y "funciona perfecto el día 1", elige lo segundo.*41:o9,af:T5ea1,41:o5ea1,[V0_FILE]markdown:file="/INSTRUCCIONES_CLAUDE_CODE.md" # INSTRUCCIONES PARA CLAUDE CODE — "ANALISTA" (Sistema de Investigación y Análisis de Mercados Financieros) **Versión:** 1.0 **Idioma del producto:** Español (toda la UI, informes, alertas y análisis) **Usuario final:** Una sola persona, SIN conocimientos técnicos. No sabe qué es una API, una terminal ni un archivo .env. **Documento padre:** `BRIEF.md` (este documento cierra sus decisiones abiertas de §12) --- ## 0. TU ROL Y REGLAS INQUEBRANTABLES Eres el ingeniero responsable de construir este sistema de principio a fin. Reglas absolutas: 1. **El MVP debe ser 100% funcional desde el día 1.** Al terminar, el usuario ejecuta UN solo comando, abre el navegador, completa un asistente de configuración guiado y empieza a analizar el mercado. Nada de "TODO", nada de funciones stub, nada de datos falsos/mock en producción. 2. **Cero conocimientos técnicos requeridos del usuario.** Toda configuración (claves de API incluidas) se hace desde la interfaz web con instrucciones paso a paso, capturas de contexto y botones de "Probar conexión". El usuario NUNCA edita archivos. 3. **Trazabilidad total.** Cada análisis, cada tesis y cada alerta enlaza a los datos y fuentes exactas que la sustentan, con timestamp. 4. **Registro inmutable.** Las tesis y análisis emitidos jamás se editan retroactivamente. Solo se les añaden actualizaciones con nuevo timestamp. 5. **Honestidad radical.** El sistema cuantifica su incertidumbre, declara cuándo no tiene datos suficientes y muestra su historial completo de aciertos Y errores. Prohibido el lenguaje de certeza ("va a subir") — siempre probabilístico y condicionado. 6. **No es asesoría financiera.** Disclaimer visible y permanente. El sistema informa y argumenta; el humano decide. No ejecuta operaciones jamás. 7. **Presupuesto:** el gasto en LLM no debe superar **$100 USD/mes**. Implementa contabilidad de tokens y un límite duro configurable. 8. **Commits frecuentes y descriptivos.** Trabaja por etapas (ver §10) y verifica cada etapa antes de avanzar. --- ## 1. RESUMEN DEL PRODUCTO Una aplicación web local llamada **"Analista"** que actúa como un analista de investigación de mercados de élite trabajando para el usuario: - **Cobertura:** mercado de valores de **Estados Unidos** (NYSE, NASDAQ, AMEX: acciones, ETFs, índices) y **México** (BMV/BIVA vía tickers `.MX` de Yahoo Finance). - **Modos de trabajo:** (a) **Watchlist** — vigilancia profunda y continua de los activos que el usuario sigue; (b) **Descubrimiento activo** — screeners sistemáticos que rastrean todo el universo buscando configuraciones técnicas y oportunidades emergentes que el usuario NO está mirando. - **Especialidad central:** análisis técnico y gráfico de nivel profesional avanzado (ver §5 — es el corazón del sistema), complementado con contexto fundamental y de noticias. - **Motor de razonamiento:** LLMs de bajo coste vía OpenRouter (Qwen y Kimi, ver §6). - **Ciclo de rendición de cuentas:** toda tesis emitida se registra de forma inmutable y se puntúa después contra la realidad (track record auditable). --- ## 2. STACK TÉCNICO (obligatorio) | Capa | Tecnología | Razón | |---|---|---| | Framework | **Next.js 15+ (App Router, TypeScript)** | Una sola app: UI + API + jobs. Un solo comando para arrancar | | Base de datos | **SQLite** (archivo local `data/analista.db`) vía **Drizzle ORM** + `better-sqlite3` | Cero configuración para el usuario. Sin cuentas externas | | Scheduler | **node-cron** dentro del proceso del servidor (instrumentation.ts o servidor custom) | El sistema trabaja solo mientras la app está abierta | | Datos de mercado | **`yahoo-finance2`** (npm, gratis, sin clave) como fuente primaria | Cubre US y México (.MX), OHLCV histórico e intradía retrasado, fundamentales básicos, sin coste | | Noticias + fundamentales extra | **Finnhub** (plan gratis) + **RSS** (fuentes en §4.3) | Gratis con clave | | Macro US | **FRED API** (gratis) | Tasas, inflación, empleo | | Macro México | **Banxico SIE API** (gratis) | Tipo de cambio, TIIE, inflación MX | | LLM | **OpenRouter** (`openai` SDK compatible o AI SDK) | Acceso a Qwen y Kimi con una sola clave | | Indicadores técnicos | Implementación propia en TypeScript (módulo `lib/ta/`) + `technicalindicators` (npm) como base verificada | Control total y sin dependencias frágiles | | Gráficos | **lightweight-charts** (TradingView, open source) | Velas japonesas profesionales, overlays de indicadores | | UI | Tailwind CSS + shadcn/ui, tema oscuro por defecto | Estética de terminal financiera | **Distribución al usuario:** un script `instalar.command` (macOS) / `instalar.bat` (Windows) que instala dependencias y crea un acceso directo `Analista.command`/`Analista.bat` que ejecuta `npm run start` y abre `http://localhost:3000` en el navegador. Documenta esto en un `LEEME.md` escrito para no técnicos. --- ## 3. ASISTENTE DE CONFIGURACIÓN GUIADO (primera ejecución) — CRÍTICO Al abrir la app por primera vez (o si falta configuración), se muestra un **wizard a pantalla completa en español**, paso a paso. El usuario no debe saber qué es una API: el wizard se lo explica como "llaves de acceso gratuitas a datos". ### Pasos del wizard **Paso 0 — Bienvenida:** qué es Analista, qué hace y qué NO hace (no es asesoría, no predice el futuro, no opera por ti). Checkbox de aceptación del disclaimer. **Paso 1 — Motor de IA (OpenRouter) [OBLIGATORIO]:** - Explica: "Analista necesita un cerebro de IA. Usaremos OpenRouter, un servicio donde pagas solo lo que usas (~$20–80 USD/mes con uso intensivo)." - Instrucciones numeradas con enlaces directos: 1) Entra a `https://openrouter.ai` y crea una cuenta. 2) Ve a `https://openrouter.ai/settings/keys` y pulsa "Create Key". 3) Copia la llave (empieza con `sk-or-`) y pégala aquí. 4) Añade crédito ($10 para empezar) en `https://openrouter.ai/settings/credits`. - Campo de texto + botón **"Probar conexión"** que hace una llamada mínima real y muestra ✓ o el error en lenguaje llano ("La llave no es válida. Verifica que la copiaste completa."). **Paso 2 — Datos de mercado:** informa que los precios de acciones de EE.UU. y México ya funcionan sin configuración (Yahoo Finance). Botón "Probar" que descarga una vela de AAPL y de AMXB.MX y las muestra. **Paso 3 — Noticias (Finnhub) [RECOMENDADO, omitible]:** mismas instrucciones guiadas (registro gratis en `https://finnhub.io/register`, copiar API key del dashboard) + probar conexión. Si se omite, el sistema funciona solo con RSS. **Paso 4 — Macro (FRED y Banxico) [OPCIONAL, omitible]:** instrucciones guiadas para `https://fred.stlouisfed.org/docs/api/api_key.html` y `https://www.banxico.org.mx/SieAPIRest/service/v1/token`. Probar conexión cada una. **Paso 5 — Presupuesto y ritmo:** límite mensual de gasto LLM (default $100, con barra de progreso visible siempre en la app), y frecuencia de los ciclos automáticos (default: escaneo técnico cada 15 min en horario de mercado; ciclo de análisis profundo 3 veces al día: pre-apertura ~8:00, media sesión ~12:30, post-cierre ~16:30, hora CDMX; noticias cada 30 min). **Paso 6 — Watchlist inicial:** buscador de tickers (autocompletado vía Yahoo) para añadir 5–30 activos. Ofrece una sugerencia de inicio (p. ej. SPY, QQQ, AAPL, MSFT, NVDA, AMZN, WALMEX.MX, AMXB.MX, GFNORTEO.MX, CEMEXCPO.MX) que el usuario puede aceptar o editar. **Paso 7 — Fin:** "Analista está trabajando. Primer informe en ~5 minutos." → lanza inmediatamente un ciclo completo de análisis sobre la watchlist para que el día 1 haya resultados reales. Las claves se guardan en la tabla `settings` de SQLite (nunca pedir al usuario tocar archivos). Toda pantalla de la app debe tener acceso a "Configuración" para re-editar y re-probar claves. --- ## 4. MÓDULO DE INGESTA DE DATOS ### 4.1 Precios y velas (Yahoo Finance, sin clave) - OHLCV histórico: diario (2+ años), semanal, y 60m/15m para lo intradía disponible. - Al añadir un activo a la watchlist: descarga histórico completo y calcula todos los indicadores. - Refresco: watchlist cada 15 min en horario de mercado (NYSE 9:30–16:00 ET; BMV 8:30–15:00 CDMX); universo de screening 1 vez al día tras el cierre. - Cachea todo en SQLite (tabla `candles`) para no re-descargar y para funcionar parcialmente offline. - Maneja con gracia rate limits y fallos de red: reintentos con backoff, y nunca romper la UI por un fallo de datos (mostrar "dato no disponible, última actualización HH:MM"). ### 4.2 Universo para descubrimiento - **US:** componentes del S&P 500 + NASDAQ 100 + Russell 1000 (lista estática incluida en el repo, actualizable) + ETFs líquidos principales. Filtro de liquidez: volumen promedio > 500k acciones/día. - **MX:** los ~35 componentes del IPC + las emisoras líquidas de BMV/BIVA con ticker Yahoo `.MX` (lista estática incluida, ~60 emisoras). - Total ≈ 1,100 activos escaneados diariamente con indicadores calculados localmente (coste LLM: cero — el LLM solo interviene sobre los candidatos filtrados). ### 4.3 Noticias - Finnhub company news para watchlist (si hay clave). - RSS siempre activos: Yahoo Finance, Reuters Business, CNBC Markets, Investing.com, El Economista (MX), Expansión (MX), El Financiero (MX). - Deduplicación por similitud de titular. Clasificación por LLM barato (ver §6): activo(s) afectado(s), tipo (resultados, M&A, regulatorio, macro, opinión, promocional), relevancia 1–5, sentimiento. Guardar procedencia completa. ### 4.4 Macro y calendario - FRED: tasas FED, CPI, empleo, curva de rendimientos. Banxico: TIIE, USD/MXN, inflación MX. - Calendario de earnings de la watchlist (Yahoo/Finnhub) con alertas 5 días y 1 día antes. --- ## 5. MOTOR DE ANÁLISIS TÉCNICO AVANZADO (el corazón del sistema) Implementa en `lib/ta/` una biblioteca completa, **calculada localmente en TypeScript** (determinista, testeada, coste cero). El LLM nunca "calcula" indicadores: los recibe ya computados y los interpreta. ### 5.1 Indicadores (todos, multi-timeframe: diario, semanal, 60m) - **Tendencia:** SMA/EMA (9, 20, 50, 100, 200), cruces (golden/death cross), MACD (12,26,9) con histograma y cruces, ADX/DMI (+DI/−DI), Supertrend, Ichimoku completo (Tenkan, Kijun, Senkou A/B, Chikou, posición vs nube), regresión lineal de tendencia con pendiente y R². - **Momentum:** RSI (14) con zonas y **divergencias regulares y ocultas** (algoritmo de detección por pivotes), Estocástico (14,3,3), Williams %R, ROC, CCI, MFI. - **Volatilidad:** Bandas de Bollinger (20,2) con %B y **squeeze** (BB dentro de Keltner), ATR y ATR%, Keltner Channels, volatilidad histórica 20/60d. - **Volumen:** OBV con divergencias, VWAP (intradía y anclado a eventos), acumulación/distribución, Chaikin Money Flow, volumen relativo (RVOL), perfil de volumen aproximado por niveles de precio (Point of Control, Value Area). - **Estructura de precio:** detección de pivotes (swing highs/lows), **soportes y resistencias** por clustering de pivotes + niveles de volumen, líneas de tendencia automáticas por pivotes, retrocesos y extensiones de **Fibonacci** desde swings relevantes, máximos/mínimos de 52 semanas, gaps (comunes, de ruptura, de agotamiento) y su estado (abierto/llenado), pivots points clásicos (P, R1–R3, S1–S3). - **Patrones de velas** (sobre las últimas N velas): doji, martillo, hombre colgado, envolvente alcista/bajista, estrella de la mañana/tarde, tres soldados blancos/cuervos negros, harami, pin bars — con contexto (un martillo solo importa en soporte tras caída). - **Patrones chartistas** (detección algorítmica por pivotes, con score de confianza): doble techo/suelo, hombro-cabeza-hombro y su inversa, triángulos (ascendente/descendente/simétrico), canales, banderas y banderines, cuñas, tazas con asa, rangos de consolidación y sus rupturas **con confirmación de volumen**. - **Fuerza relativa:** ratio del activo vs SPY (o vs IPC para MX) y su tendencia; ranking de momentum del universo (estilo 12-1 meses). - **Régimen de mercado:** clasificador de contexto (tendencia alcista/bajista/rango + volatilidad alta/baja) para SPY, QQQ e IPC — todo análisis individual se condiciona al régimen. ### 5.2 Score técnico compuesto Para cada activo y timeframe, computa un **score técnico 0–100** transparente y descomponible (tendencia 30%, momentum 25%, volumen 15%, estructura/patrones 20%, fuerza relativa 10% — pesos configurables). Guarda el desglose completo: el usuario siempre puede ver POR QUÉ un activo puntúa 78. ### 5.3 Confluencia y setups Un "setup" se emite solo con **confluencia** (≥3 factores independientes alineados, p. ej.: rebote en soporte + divergencia alcista RSI + squeeze de Bollinger resolviéndose al alza + RVOL > 1.5). Cada setup incluye: tipo, dirección, factores de confluencia, nivel de invalidación técnica (precio exacto), zona objetivo por estructura, y ratio riesgo/beneficio implícito. **Nunca emitir "compra/vende"** — se emite "configuración técnica detectada" con toda la evidencia. ### 5.4 Tests obligatorios Tests unitarios de CADA indicador contra valores de referencia conocidos (series de ejemplo con resultados verificados). Si un indicador no pasa sus tests, no se usa. --- ## 6. CAPA DE IA (OpenRouter) Y CONTROL DE COSTES ### 6.1 Modelos y enrutamiento Crea `lib/llm/router.ts` con dos niveles (IDs de modelo configurables en Configuración, con estos defaults — **verifica en openrouter.ai/models los IDs exactos disponibles al momento de construir y ajusta**): | Nivel | Modelo default | Uso | |---|---|---| | **Razonador** (análisis profundo) | `moonshotai/kimi-k2` (alternativa: `qwen/qwen3-max` o el Qwen razonador más reciente) | Análisis integral de activos, redacción de tesis, informes, abogado del diablo, chat | | **Rápido/barato** (clasificación) | El Qwen pequeño más barato disponible (p. ej. `qwen/qwen3-30b-a3b` o similar) | Clasificar noticias, extraer entidades, resúmenes cortos, deduplicación semántica | ### 6.2 Contabilidad y límite duro - Registra CADA llamada en tabla `llm_calls`: modelo, tokens in/out, coste estimado, propósito, timestamp. - Widget permanente en la UI: "Gasto del mes: $X.XX / $100.00". - Al 80% del límite: alerta y modo ahorro (solo watchlist, sin descubrimiento). Al 100%: se detienen las llamadas LLM (el motor técnico local sigue funcionando al 100%) y se notifica al usuario. ### 6.3 Principio de eficiencia El 95% del trabajo pesado (indicadores, screeners, scores) es local y gratuito. El LLM solo interpreta candidatos ya filtrados y datos ya computados. Estimación objetivo: 30–60 análisis profundos/día ≈ $1–3 USD/día. ### 6.4 Prompt de sistema del Analista (usar como base, en español) ``` Eres "Analista", un analista senior de mercados financieros con formación cuantitativa avanzada y dominio experto del análisis técnico y chartista clásico y moderno. Trabajas para un solo cliente. Tu reputación depende de tu honestidad, no de parecer seguro. REGLAS: 1. Solo puedes afirmar lo que los DATOS PROPORCIONADOS sustentan. Si falta un dato, dilo. 2. Separa siempre: HECHOS (datos verificados) / INTERPRETACIÓN (tu lectura) / ESPECULACIÓN. 3. Presenta SIEMPRE el caso alcista Y el caso bajista antes de concluir. 4. Cuantifica tu convicción de 1 a 10 y justifícala. Prohibido el lenguaje de certeza. 5. Toda configuración técnica debe incluir: nivel de invalidación exacto, y qué evidencia nueva te haría cambiar de opinión. 6. No das recomendaciones de compra/venta ni asesoría financiera. Analizas y presentas evidencia; el cliente decide. 7. Escribes en español claro y profesional, sin jerga innecesaria y sin adornos vacíos. 8. Condiciona todo análisis individual al régimen de mercado vigente que se te proporciona. ``` ### 6.5 Pipelines LLM 1. **Análisis integral de activo** (razonador): recibe JSON con todos los indicadores multi-timeframe, setups detectados, S/R, noticias recientes clasificadas, fundamentales básicos, régimen de mercado → produce análisis estructurado (resumen, lectura técnica por timeframe, caso alcista, caso bajista, niveles clave, convicción, invalidación). 2. **Clasificador de noticias** (barato): titular + resumen → JSON {activos, tipo, relevancia, sentimiento}. 3. **Generador de tesis** (razonador): a partir de un setup de alta confluencia + análisis integral → tesis formal (ver §7). 4. **Abogado del diablo** (razonador): recibe una tesis activa + datos nuevos → busca activamente evidencia contraria y evalúa si la invalidación está cerca. 5. **Informes** (razonador): informe matutino y de cierre (ver §8.4). 6. **Chat de investigación** (razonador): conversación con acceso a herramientas internas (obtener indicadores de un ticker, buscar noticias guardadas, consultar tesis, comparar activos). Cada respuesta cita sus fuentes internas. --- ## 7. TESIS DE INVERSIÓN Y VALIDACIÓN (diferenciador central) ### 7.1 Estructura de una tesis (tabla `theses`, inmutable) `id, ticker, dirección (alcista/bajista/neutral), afirmación_central, evidencia_a_favor (array con fuentes), evidencia_en_contra (array con fuentes), supuestos_clave, catalizadores, horizonte (corto: días / swing: semanas / posicional: meses), precio_al_emitir, nivel_invalidación (precio), zona_objetivo, convicción (1-10), estado (activa/acertada/fallida/invalidada/expirada), created_at, resolved_at, resolución_notas`. ### 7.2 Reglas - **Inmutabilidad:** sin UPDATE de contenido. Actualizaciones → tabla `thesis_updates` (append-only, con timestamp). - **Resolución automática:** cada ciclo verifica precio vs invalidación/objetivo/horizonte. Precio toca invalidación → `invalidada`. Toca objetivo dentro de horizonte → `acertada`. Expira horizonte sin resolución → evaluar por dirección y marcar `acertada parcial/fallida/expirada` con criterio documentado en código. - **Track record:** página dedicada con tasa de acierto global, por dirección, por horizonte, por rango de convicción (**gráfico de calibración**: convicción declarada vs % acierto real), y lista completa de tesis resueltas — fallos incluidos, siempre visibles. --- ## 8. CICLOS AUTOMÁTICOS (scheduler) | Job | Frecuencia | Qué hace | |---|---|---| | `refresh-watchlist` | Cada 15 min (horario de mercado) | Velas + indicadores + detección de setups en watchlist. Solo local, sin LLM | | `scan-noticias` | Cada 30 min | RSS/Finnhub → deduplicar → clasificar (LLM barato) → alertar si relevancia ≥4 en watchlist | | `ciclo-profundo` | 3×/día (pre-apertura, media sesión, cierre; hora CDMX) | Análisis integral LLM de: activos de watchlist con cambios significativos + top candidatos del descubrimiento. Genera/actualiza tesis. Corre abogado del diablo sobre tesis activas | | `descubrimiento` | 1×/día (post-cierre) | Screening del universo completo (§4.2) con el motor técnico → ranking por score y confluencia → top 10–15 candidatos → análisis LLM de los top 5 nuevos | | `resolucion-tesis` | 1×/día | Verificar invalidaciones/objetivos/expiraciones; actualizar track record | | `informe-matutino` | 1×/día ~7:30 CDMX | Informe del día (ver §8.4) | | `informe-cierre` | 1×/día ~16:45 CDMX | Resumen de la sesión | Todos los jobs: log en tabla `job_runs` (inicio, fin, resultado, errores), visibles en la UI ("Actividad del sistema"). Si la app estuvo cerrada, al arrancar ejecuta un ciclo de puesta al día. ### 8.4 Informes **Matutino:** régimen de mercado (US y MX), eventos macro/earnings del día, estado de la watchlist (cambios técnicos relevantes), tesis activas y su salud, top oportunidades del descubrimiento con su evidencia. **Cierre:** qué pasó, qué setups se activaron/invalidaron, cambios en tesis. Ambos en español, concisos, con enlaces a los análisis completos. --- ## 9. INTERFAZ (páginas, todas en español, tema oscuro) 1. **`/` Panel principal:** régimen de mercado (semáforos US/MX), informe del día, alertas recientes, tesis activas resumidas, top oportunidades del descubrimiento, widget de gasto LLM. 2. **`/watchlist`:** tabla densa y ordenable — precio, cambio %, RVOL, score técnico (con desglose al hover/click), setups activos, mini-sparkline. Añadir/quitar tickers con buscador. 3. **`/activo/[ticker]`:** gráfico de velas profesional (lightweight-charts) con overlays seleccionables (EMAs, Bollinger, Ichimoku, S/R, Fibonacci, señales), panel de indicadores multi-timeframe, patrones detectados, análisis integral más reciente (con botón "Analizar ahora"), noticias del activo, tesis e historial del activo. 4. **`/descubrimiento`:** ranking diario del screener con score, factores de confluencia y acceso al análisis de cada candidato; filtros por mercado (US/MX), sector y tipo de setup. 5. **`/tesis`:** tesis activas (con salud: distancia a invalidación/objetivo, resultado del último abogado del diablo) e historial resuelto. 6. **`/track-record`:** métricas de calibración y desempeño (§7.2). Sin maquillaje. 7. **`/chat`:** chat de investigación con el Analista (§6.5.6), con historial persistente. 8. **`/actividad`:** log de jobs, ingesta y llamadas LLM (transparencia operativa). 9. **`/configuracion`:** claves (con probar conexión), presupuesto, frecuencias, modelos LLM, universo de screening. Disclaimer permanente en el footer: *"Analista es una herramienta de investigación. No constituye asesoría financiera. Toda decisión de inversión es responsabilidad del usuario."* --- ## 10. PLAN DE CONSTRUCCIÓN (ejecuta en este orden, verifica cada etapa) 1. **Etapa 1 — Esqueleto:** Next.js + SQLite + Drizzle (schema completo) + scheduler + layout base en español. ✅ Verifica: app arranca, DB se crea, un job dummy corre y se loguea. 2. **Etapa 2 — Wizard de configuración (§3):** completo, con pruebas de conexión reales. ✅ Verifica: flujo completo de primera ejecución sin tocar archivos. 3. **Etapa 3 — Ingesta de precios:** yahoo-finance2 + cache en SQLite + watchlist funcional con precios reales US y MX. ✅ Verifica: AAPL y WALMEX.MX muestran velas reales. 4. **Etapa 4 — Motor TA (§5):** todos los indicadores + tests unitarios + score compuesto + detección de setups. ✅ Verifica: tests pasan; el desglose del score es coherente en 5 tickers reales. 5. **Etapa 5 — Página de activo con gráfico** (lightweight-charts + overlays + panel de indicadores). ✅ Verifica visual. 6. **Etapa 6 — Capa LLM (§6):** router, contabilidad de costes, análisis integral de activo, clasificador de noticias. ✅ Verifica: un análisis real de NVDA con datos reales, coste registrado. 7. **Etapa 7 — Ingesta de noticias + macro (§4.3, §4.4).** 8. **Etapa 8 — Tesis + resolución + track record (§7).** 9. **Etapa 9 — Descubrimiento (§4.2 universo + screener + ranking + análisis top).** 10. **Etapa 10 — Ciclos completos + informes (§8) + chat (§6.5.6).** 11. **Etapa 11 — Pulido:** manejo de errores en lenguaje llano, estados vacíos con guía, LEEME.md no técnico, scripts de instalación/arranque (§2), revisión final del flujo día-1 completo de punta a punta. **Prueba de aceptación final (simula ser el usuario):** instalación desde cero → wizard completo → watchlist con datos reales → primer informe generado → un análisis integral real → una tesis emitida con invalidación → chat responde con citas → gasto LLM visible. Si algo de esto falla, el MVP no está terminado. --- ## 11. FUERA DE ALCANCE DEL MVP (no lo construyas) - Ejecución de órdenes o conexión a brokers. - Datos de nivel 2, tiempo real por WebSocket, u opciones/derivados. - Backtesting histórico de estrategias (fase futura). - Multiusuario, autenticación, despliegue en la nube. - Apps móviles o notificaciones push externas (las alertas viven en la app). --- *Cualquier ambigüedad: resuélvela a favor de la simplicidad, la honestidad del sistema y la experiencia del usuario no técnico. Cuando tengas que elegir entre "más funciones" y "funciona perfecto el día 1", elige lo segundo.*41:o44fb,48:["$","$L8d",null,{"params":{"chatId":"q6uPCqv5l4K"},"promises":{"attributes":"$@97","externalMeta":"$@98","latest":"$@99","messagesRange":"$@9a","messages":"$@9b","template":"$@9c","gitStatus":"$@9d"},"children":["$","$L9e",null,{"chatId":"q6uPCqv5l4K","children":["$","$L9f",null,{"seedOnlyKeys":["@\"chat:state\",\"q6uPCqv5l4K\","],"data":{"block:output:initial":{"id":"b_wZi3t38mM1k","result":"$@a0"},"/chat/api/snapshots/proxy?chatId=q6uPCqv5l4K&messageId=68lpRo2EF9LRMFkPQ5h8Od7gxR88RUjm&v=v2":"$a1","@\"block:mappings\",\"q6uPCqv5l4K\",":{"sqlBlockExecutionStates":"$Qa2","blocksForkedFrom":"$Qa3","blocksTemplateIds":"$Qa4","blocksCreatedAt":"$Qa5","blocksShared":"$Qa6","blocksDeployed":"$Qa7","blocksSubdomains":"$Qa8","brandedBlocks":"$Qa9","unlistedBlocks":"$Qaa","blockOutputs":"$Qab"},"@\"chat:drafts\",null,":null,"@\"chat:state\",\"q6uPCqv5l4K\",":{"messages":[{"content":{"type":"parts","parts":[{"type":"mdx","content":"Busco definir y, eventualmente, construir un sistema de inteligencia artificial que opere de forma continua como un investigador y analista de mercados financieros, capaz de recopilar, organizar, analizar y contrastar información proveniente de múltiples fuentes para generar hipótesis, evaluar evidencia y apoyar la toma de decisiones de inversión con un enfoque objetivo y fundamentado. una plataforma de investigación que replique de manera sistemática el proceso analítico de profesionales experimentados, manteniéndose dentro de los límites de la tecnología actual, con un enfoque realista, verificable, transparente y orientado a la mejora continua mediante la validación rigurosa de sus análisis y resultados. Ayúdame a crear el brief de proyecto como punto de partida "}],"version":1},"role":"user","id":"rKuCXxOJoTEoPvzUdwyyHcZ3y5XD811S","attachments":[],"type":"message","authorId":"4VareDzj8RJH0l8vL65OG9nr","createdAt":"$D2026-08-01T16:33:24.273Z"},{"v0ModelId":"v0-fable-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1785602015194,"finishedAt":1785602016038,"lastPartSentAt":1785602016038,"taskNameActive":null,"id":"dSvWeCKZKjK2yY7y","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The user is asking for a project brief for an AI financial research analyst system and speaks Spanish, so I should respond in that language. Rather than jumping straight into drafting, I'll ask a few clarifying questions first about the target markets, intended users, how they want to receive the output, and what data sources or budget constraints exist — this will help me shape a more tailored brief."}]}}],["p",{},["text",{},"¡Excelente punto de partida! Antes de redactar el brief, necesito aclarar algunas decisiones clave que definirán el alcance y la arquitectura del sistema."]],["AssistantMessageContentPart",{"part":{"createdAt":1785602027745,"finishedAt":1785602028726,"stopped":{"reason":"user-input-required"},"lastPartSentAt":1785602028691,"taskNameActive":"Definiendo alcance del proyecto","taskNameComplete":"Alcance del proyecto definido","toolCallId":"toolu_0126AXgtnfU6LkdnUBmaocSZ","agentTurnId":"turn_UkZRSe8sVmIIIi0o","filePath":null,"id":"kuCRGAwxLeo8Jmnz","type":"task-ask-user-questions-v1","parts":[{"type":"asking-questions","questions":[{"id":"q-0","question":"¿Qué mercados y clases de activos debe cubrir el sistema inicialmente?","header":"Mercados","options":[{"id":"q-0-opt-0","label":"Acciones (equities)","description":"Renta variable: empresas cotizadas, índices, ETFs"},{"id":"q-0-opt-1","label":"Criptomonedas","description":"Bitcoin, Ethereum y mercado cripto en general"},{"id":"q-0-opt-2","label":"Renta fija / macro","description":"Bonos, tasas de interés, indicadores macroeconómicos"},{"id":"q-0-opt-3","label":"Divisas (Forex)","description":"Pares de monedas y mercados cambiarios"},{"id":"q-0-opt-4","label":"Commodities","description":"Oro, petróleo, materias primas"}],"multiSelect":true},{"id":"q-1","question":"¿Quién será el usuario principal del sistema?","header":"Usuario","options":[{"id":"q-1-opt-0","label":"Yo (uso personal)","description":"Herramienta individual para tus propias decisiones de inversión"},{"id":"q-1-opt-1","label":"Equipo pequeño","description":"Un grupo de analistas o socios de inversión"},{"id":"q-1-opt-2","label":"Producto comercial","description":"Plataforma para ofrecer a clientes o suscriptores"},{"id":"q-1-opt-3","label":"Aún no definido","description":"Empezar personal con posibilidad de escalar"}],"multiSelect":false},{"id":"q-2","question":"¿Cuál es el horizonte de análisis principal que te interesa?","header":"Horizonte","options":[{"id":"q-2-opt-0","label":"Fundamental / largo plazo","description":"Análisis de valor, estados financieros, tesis de inversión a meses/años"},{"id":"q-2-opt-1","label":"Swing / medio plazo","description":"Tendencias de semanas a meses, combinando técnico y fundamental"},{"id":"q-2-opt-2","label":"Corto plazo / eventos","description":"Reacción a noticias, earnings, datos macro (días)"},{"id":"q-2-opt-3","label":"Intradía","description":"Nota: alta exigencia de datos en tiempo real y menor viabilidad para IA analítica"}],"multiSelect":true},{"id":"q-3","question":"¿Qué alcance quieres para la primera versión (MVP)?","header":"Alcance MVP","options":[{"id":"q-3-opt-0","label":"Brief + prototipo funcional (Recomendado)","description":"Documento de proyecto y luego construir un MVP navegable en v0"},{"id":"q-3-opt-1","label":"Solo el brief por ahora","description":"Documento completo de definición; la construcción vendrá después"},{"id":"q-3-opt-2","label":"Brief + arquitectura técnica detallada","description":"Brief más diagramas, stack tecnológico y plan de fases sin código aún"}],"multiSelect":false}]}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"fpnNR3AdFWs5kWpKmevwg8EmlqRpCrai","gitRevision":{"headSha":"f0ce10f43e7b1be4f931c8256d0bb829265d666b","readyAt":"2026-08-01T16:33:52.946Z","version":1},"streaming":false,"finishReason":"tool-calls","parentId":"rKuCXxOJoTEoPvzUdwyyHcZ3y5XD811S","type":"message","creditCost":0.275305,"workMetrics":{"diffMap":{},"agentActions":1},"createdAt":"$D2026-08-01T16:33:24.274Z","updatedAt":"$D2026-08-01T16:33:52.961Z"},{"content":{"type":"parts","parts":[{"type":"answered-questions","answers":[{"questionId":"q-0","questionText":"¿Qué mercados y clases de activos debe cubrir el sistema inicialmente?","selectedLabels":["Acciones (equities)","Criptomonedas","Renta fija / macro","Divisas (Forex)","Commodities"]},{"questionId":"q-1","questionText":"¿Quién será el usuario principal del sistema?","selectedLabels":["Yo (uso personal)"]},{"questionId":"q-2","questionText":"¿Cuál es el horizonte de análisis principal que te interesa?","selectedLabels":["Corto plazo / eventos","Intradía","Swing / medio plazo","Fundamental / largo plazo"]},{"questionId":"q-3","questionText":"¿Qué alcance quieres para la primera versión (MVP)?","selectedLabels":["Solo el brief por ahora"]}]}],"version":1},"role":"user","id":"iR31atIdS9efjSgIjLmjPU6DN4Jl9fUD","attachments":[],"parentId":"fpnNR3AdFWs5kWpKmevwg8EmlqRpCrai","type":"answered-questions","authorId":"4VareDzj8RJH0l8vL65OG9nr","createdAt":"$D2026-08-01T16:35:48.805Z"},{"v0ModelId":"v0-fable-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1785602158638,"finishedAt":1785602159421,"lastPartSentAt":1785602159421,"taskNameActive":null,"id":"kdrBFSXx1jZg4j3S","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The user wants a comprehensive project brief document covering all markets and horizons, so I'll create a markdown file in Spanish with realistic phasing since tackling everything simultaneously isn't practical."}]}}],["p",{},["text",{},"Perfecto. Con esas respuestas voy a redactar el brief. Dado que seleccionaste todos los mercados y todos los horizontes, incluiré una propuesta de fases realista (empezar acotado y expandir), porque cubrir todo desde el día uno es el error más común en este tipo de proyectos. Lo dejaré documentado como decisión abierta."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_Oi08kgD2eOZ","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[{"fileName":"/BRIEF.md","baseName":"BRIEF.md","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]md:file=\"/BRIEF.md\" \nGENERATING","latestDeploymentInfo":"$a7:0:1","lastDeployedAt":"2026-08-01T16:37:19.406Z","sourceVersionKey":"v_1_z3q1b_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_Oi08kgD2eOZ","meta":{"taskNameActive":"Redactando brief del proyecto","taskNameComplete":"Brief del proyecto redactado","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Redactando brief del proyecto","taskNameComplete":"Brief del proyecto redactado"},"id":"block-b_Oi08kgD2eOZ"}],["p",{},["text",{},"He creado el brief en "],["code",{},"BRIEF.md"],["text",{}," como documento de partida. Sus puntos más importantes: define claramente qué "],["strong",{},["text",{},"es"]],["text",{}," el sistema (analista de investigación auditable) y qué "],["strong",{},["text",{},"no es"]],["text",{}," (bot de trading ni oráculo), propone un "],["strong",{},["text",{},"plan de fases"]],["text",{}," porque abarcar 5 clases de activos y 4 horizontes desde el inicio es inviable, y coloca la "],["strong",{},["text",{},"validación con registro inmutable de tesis"]],["text",{}," como el diferenciador central del proyecto. La sección 12 lista las decisiones abiertas que conviene cerrar antes de pasar a la arquitectura técnica — cuando quieras, las repasamos una por una o avanzamos directo al diseño del MVP de Fase 1."]]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"pIdQgi2YCtbxeSy9lIpnYcA5SKpWtJ4H","gitRevision":{"baseSha":"f0ce10f43e7b1be4f931c8256d0bb829265d666b","headSha":"e784fb6b8dfb0acc67c3e78b5704f16ca88e1b73","readyAt":"2026-08-01T16:37:19.387Z","version":1},"streaming":false,"finishReason":"stop","parentId":"iR31atIdS9efjSgIjLmjPU6DN4Jl9fUD","type":"message","creditCost":0.4678435,"workMetrics":{"diffMap":{},"agentActions":1},"createdAt":"$D2026-08-01T16:35:48.806Z","updatedAt":"$D2026-08-01T16:37:19.400Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"Todo el mercado financiero/valores US/MX\nUso de LLM opensource / Qwen 3.8 Max/ Kimi K3 alrededor de 100USD al mes inicialmente \nDescubrimiento abierto, dinámico, watchlist + Descubrimiento activo de oportunidades \n\nAnálisis técnico y gráfico extremadamente avanzado con todo lo que el humano ha descubierto/sabe actuando como un analista de élite financiero/ de mercado de valores con experiencia y estudios de postdoctorado avanzados iq altísimo\n\nIdioma español \n\nAvanza con las indicaciones para programar el modelo, tal cuál le darías las instrucciones a Claude code, considera que el usuario final no tiene conocimientos técnicos sobre APIs así que debe ser un setup guiado paso a paso, el MVP debe ser funcional al 100% para empezar a analizar y reconocer oportunidades en el marcado desde el día 1. Dame el MD con todas las instrucciones para Claude code sin omitir nada"}],"version":1},"role":"user","id":"XjfpM0dO11GZzqhQTDmBkwb4YRN5e3ve","attachments":[],"parentId":"pIdQgi2YCtbxeSy9lIpnYcA5SKpWtJ4H","type":"message","authorId":"4VareDzj8RJH0l8vL65OG9nr","createdAt":"$D2026-08-01T18:13:45.112Z"},{"v0ModelId":"v0-fable-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1785608031527,"finishedAt":1785608044955,"lastPartSentAt":1785608044955,"taskNameActive":null,"id":"5sW0wnnkeycxaS2m","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":13,"thought":"$ac"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785608045004,"finishedAt":1785608045930,"lastPartSentAt":1785608045902,"taskNameActive":"Revisando brief existente","taskNameComplete":"Brief revisado","toolCallId":"toolu_019yA486GffHPVn43pYXCJMq","agentTurnId":"turn_244zDfPSnpsDXdGk","filePath":null,"id":"BSwfRJU5QMtpNpaM","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/BRIEF.md"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785608059394,"finishedAt":1785608075051,"lastPartSentAt":1785608075051,"taskNameActive":null,"id":"BLzG1fdp20HOVlkK","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":15,"thought":"$ad"},{"type":"thinking-end","duration":16,"thought":"Con las decisiones cerradas sobre mercados, LLMs y funcionalidades, ahora voy a redactar el documento de instrucciones completo para Claude Code."}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_wZi3t38mM1k","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[{"fileName":"/INSTRUCCIONES_CLAUDE_CODE.md","baseName":"INSTRUCCIONES_CLAUDE_CODE.md","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"$ae","latestDeploymentInfo":"$a7:1:1","lastDeployedAt":"2026-08-01T18:17:19.019Z","sourceVersionKey":"v_1_bpij3_s3","needsBlockSource":false,"isAllImages":false,"blockId":"b_wZi3t38mM1k","meta":{"taskNameActive":"Escribiendo instrucciones para Claude Code","taskNameComplete":"Instrucciones para Claude Code escritas","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Escribiendo instrucciones para Claude Code","taskNameComplete":"Instrucciones para Claude Code escritas"},"id":"block-b_wZi3t38mM1k"}],["AssistantMessageContentPart",{"part":{"createdAt":1785608228634,"finishedAt":1785608233616,"lastPartSentAt":1785608233616,"taskNameActive":null,"id":"OuIULLmOd6QztGsD","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":5,"thought":"I should wrap this up with a note about the practical limitations—Yahoo's data feeds can lag, there are intraday trading constraints to keep in mind, and budget considerations will shape what's actually feasible to implement."}]}}],["p",{},["text",{},"He creado "],["code",{},"INSTRUCCIONES_CLAUDE_CODE.md"],["text",{}," — el documento completo de construcción listo para entregarle a Claude Code. Sus decisiones clave: app local Next.js + SQLite (cero configuración técnica para ti), un wizard de primera ejecución que te guía paso a paso para obtener cada llave gratuita con botones de \"Probar conexión\", motor de análisis técnico calculado localmente (indicadores, patrones, soportes/resistencias, confluencias — coste cero) donde el LLM vía OpenRouter (Kimi/Qwen) solo interpreta candidatos ya filtrados para mantenerte bajo los $100/mes con límite duro. Incluye el plan de construcción en 11 etapas con criterios de verificación y una prueba de aceptación final que garantiza que el día 1 puedas analizar mercado US y MX de verdad. Nota realista importante que quedó documentada: los datos de Yahoo son gratuitos pero con retraso de ~15 minutos, por eso el intradía puro quedó fuera del MVP y el sistema opera continuo mientras la app esté abierta en tu computadora."]]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"68lpRo2EF9LRMFkPQ5h8Od7gxR88RUjm","gitRevision":{"baseSha":"e784fb6b8dfb0acc67c3e78b5704f16ca88e1b73","headSha":"cf3cac12fd02fda5d09f123c9d00c77dca8d0d99","readyAt":"2026-08-01T18:17:19.000Z","version":1},"streaming":false,"finishReason":"stop","parentId":"XjfpM0dO11GZzqhQTDmBkwb4YRN5e3ve","type":"message","creditCost":1.2607575,"workMetrics":{"diffMap":{},"linesRead":194,"agentActions":2},"createdAt":"$D2026-08-01T18:13:45.113Z","updatedAt":"$D2026-08-01T18:17:19.010Z"}],"isLoading":false,"lastSyncedAt":1786852198055,"undo":null,"activeForkKey":["rKuCXxOJoTEoPvzUdwyyHcZ3y5XD811S","fpnNR3AdFWs5kWpKmevwg8EmlqRpCrai","iR31atIdS9efjSgIjLmjPU6DN4Jl9fUD","pIdQgi2YCtbxeSy9lIpnYcA5SKpWtJ4H","XjfpM0dO11GZzqhQTDmBkwb4YRN5e3ve","68lpRo2EF9LRMFkPQ5h8Od7gxR88RUjm"],"isStreaming":false,"isStopping":false,"isAuthor":false,"isRestoring":false,"hashMessageId":null},"@\"active-block\",\"q6uPCqv5l4K\",":{"id":"b_wZi3t38mM1k","meta":{"taskNameActive":"Escribiendo 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