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78puntuación
r/algotrading
SaaS subscription
Build

Skipped-Trade Edge Journal

Create a trade journaling platform that records both executed and skipped setups so traders can evaluate whether filters improve edge or merely reduce activity. This solves a blind spot that normal broker histories and journals do not cover.

En aumento +80%5 canalesTendencia de menciones de 30 días: latest 8, peak 8, 30-day series
Ver en Reddit
Descubierto 21 jul 2026

Por qué es importante

You think your filter is improving your strategy because the trades you took look better. The problem is you never measured what would have happened if you had taken the opportunities you skipped. That means you cannot tell whether your rules add real value, cut out losers, or simply make you trade less. Standard journaling tools mostly start at the moment an order exists, which leaves a major gap in the research loop. For traders who mix discretion with rules, this missing dataset quietly prevents learning and causes false confidence in filter logic.

  • · Creado para Rule-based discretionary traders and light-automation users who generate many candidate setups and want to quantify whether their filters and overrides help..
  • · Monetización más probable: SaaS subscription.

El Dolor · Narrativa

You think your filter is improving your strategy because the trades you took look better. The problem is you never measured what would have happened if you had taken the opportunities you skipped. That means you cannot tell whether your rules add real value, cut out losers, or simply make you trade less. Standard journaling tools mostly start at the moment an order exists, which leaves a major gap in the research loop. For traders who mix discretion with rules, this missing dataset quietly prevents learning and causes false confidence in filter logic.

Desglose de puntuación

Intensidad del dolor8/10
Disposición a pagar6/10
Facilidad de construcción6/10
Sostenibilidad8/10

Señal de Mercado

Tendencia de menciones de 30 díasPico: 8
Sparkline: latest 8, peak 8, 30-day series
Canales cubiertos
algotradingDaytradingoptionssaasChatGPT

Estrategia de lanzamiento

Usuario objetivo exacto

Active discretionary or semi-automated traders who evaluate 10 or more candidate setups per week and already keep some form of trading journal.

Número estimado de usuarios

~100K-300K globally

Canal de adquisición principal

r/<community> organic

Ancla de precio

$29/month

Primer hito

50 weekly active users logging both taken and skipped setups for 4 consecutive weeks

Alcance del MVP · 1-2 semanas

Semana 1
  • Design a setup schema for candidate trade, filter state, and horizon outcome
  • Build manual and CSV-based setup logging flow
  • Create dashboard for taken versus skipped trade outcome comparison
  • Add expectancy and win-rate breakdown by filter or reason code
  • Publish a simple onboarding guide for spreadsheet users
Semana 2
  • Add browser-based form for rapid intraday setup capture
  • Implement reminder system to finalize horizon outcomes automatically
  • Build rule tags for common filters like volatility, trend, and liquidity
  • Add import from one broker export and one charting alert source
  • Interview first 10 active users to refine workflow friction
Funciones MVP: Capture engine for all detected setups, not only placed orders · Side-by-side analysis of taken versus skipped outcomes · Filter attribution dashboard showing impact on expectancy and frequency · Missed-trade reminders and review workflow

Diferenciación

Soluciones existentes
Treeova
Nuestro enfoque
There is an unmet need for beginner-to-intermediate algo trading software that combines realistic backtesting, skipped-trade analysis, production monitoring, and non-programmer usability in one workflow.

Por qué esto podría fallar

Autorrefutación: la señal de confianza más importante

  1. 1If setup capture feels like extra admin work, users will not log enough data for the product to prove value.
  2. 2Many traders lack a systematic signal-generation step, reducing fit for the product.
  3. 3The insight may be valuable but too niche to support a large standalone business without adjacent journaling features.

Resumen de evidencia

Cómo la IA sintetizó esta información: sin citas textuales

The clearest unique insight in the discussion was that traders rarely measure the opportunities they reject, leaving them unable to judge whether filters create edge. Another comment reinforced the consistency problem by noting that partial automation reduced missed trades. Together, these signals support a product focused on the untracked area between signal and execution.

1 1 publicación analizada5 5 canalesAI · Sintetizado por IA · sin citas textuales

Plan de Acción

Valida esta oportunidad antes de escribir código

Próximo Paso Recomendado

Construir

Señales de demanda fuertes. Hay dolor real y disposición a pagar — empieza a construir un MVP.

Kit de Textos para Landing Page

Textos listos para pegar, basados en el lenguaje real de la comunidad de Reddit

Titular

Skipped-Trade Edge Journal

Subtítulo

Create a trade journaling platform that records both executed and skipped setups so traders can evaluate whether filters improve edge or merely reduce activity. This solves a blind spot that normal broker histories and journals do not cover.

Para Quién Es

Para Rule-based discretionary traders and light-automation users who generate many candidate setups and want to quantify whether their filters and overrides help.

Lista de Funciones

✓ Capture engine for all detected setups, not only placed orders ✓ Side-by-side analysis of taken versus skipped outcomes ✓ Filter attribution dashboard showing impact on expectancy and frequency ✓ Missed-trade reminders and review workflow

Dónde Validar

Comparte tu landing page en r/r/algotrading — ahí es exactamente donde se descubrieron estos puntos de dolor.

Regístrate para desbloquear el análisis profundo completo

GTM, alcance del MVP, por qué podría fallar, ActionPlan Copy Kit. El registro gratuito otorga 10 vistas detalladas/mes.

Report & PRDBUSINESS

Otras oportunidades en el mismo tema

Agrupadas automáticamente por IA a partir de debates relacionados

Preguntas frecuentes

¿Quién siente este problema?
Rule-based discretionary traders and light-automation users who generate many candidate setups and want to quantify whether their filters and overrides help.
¿Es esta una oportunidad real?
Esta oportunidad tiene una puntuación de 78/100 en la métrica compuesta de Pain Spotter (intensidad del dolor, disposición a pagar, viabilidad técnica y sostenibilidad). Valídala más a fondo antes de dedicar tiempo de ingeniería.
¿Cómo debería validarla?
Realiza 5 conversaciones de descubrimiento de clientes con el público objetivo, publica una landing page con lista de espera y revisa la publicación de origen enlazada para ver la actividad reciente antes de desarrollar.