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Evidence-Based Factor Screener
Build a SaaS stock screener that ranks indicators by empirical strength, then lets users screen equities using value, quality, and momentum factors with transparent evidence scores. The product should emphasize historical robustness, transaction-cost awareness, and sector-specific behavior rather than hype around any single indicator.
Por qué es importante
You want to select stocks with methods that have more than a good story behind them, but every indicator seems to have defenders, critics, and conflicting backtests. You can find academic papers, blog posts, and charting tools, yet none of them make it easy to answer a practical question: which signals still look credible after costs, across sectors, and over changing market conditions? If you are not already running your own research stack, you end up stitching together books, spreadsheets, and partial backtests. That creates uncertainty right where confidence matters most: before you commit capital.
- · Creado para Self-directed investors and serious retail traders who want academically grounded stock screens without building their own quant pipeline..
- · Monetización más probable: SaaS subscription.
El Dolor · Narrativa
You want to select stocks with methods that have more than a good story behind them, but every indicator seems to have defenders, critics, and conflicting backtests. You can find academic papers, blog posts, and charting tools, yet none of them make it easy to answer a practical question: which signals still look credible after costs, across sectors, and over changing market conditions? If you are not already running your own research stack, you end up stitching together books, spreadsheets, and partial backtests. That creates uncertainty right where confidence matters most: before you commit capital.
Desglose de puntuación
Señal de Mercado
Estrategia de lanzamiento
Independent investors who already use stock screeners and want more evidence-driven factor selection without writing code.
~100K-300K active globally
SEO long-tail
$29/month
25 paying users from search traffic and finance-community outreach within 30 days
Alcance del MVP · 1-2 semanas
- Define 10 core factors with formulas and plain-English explanations
- Connect one market data source and one fundamentals data source
- Build a simple database schema for prices, fundamentals, and factor scores
- Create a factor evidence page with research summary, caveats, and cost notes
- Ship a basic stock screener UI with filters for value and cash-flow metrics
- Add sector-relative comparisons for each factor
- Build historical factor performance charts by decile
- Add simple transaction-cost assumptions to reported results
- Implement watchlists and saved screens
- Launch a landing page with one free evidence report to collect emails
Diferenciación
Por qué esto podría fallar
Autorrefutación: la señal de confianza más importante
- 1The product may be perceived as another generic stock screener unless the evidence layer is clearly differentiated and trusted.
- 2Users may not convert if they can replicate core screens using free finance sites and public factor articles.
- 3Data licensing costs could compress margins before subscriber volume is high enough.
Resumen de evidencia
Cómo la IA sintetizó esta información: sin citas textuales
The discussion repeatedly favors value and cash-flow-oriented metrics over common chart indicators when the goal is stock selection. Several participants point to long-horizon factor research, while others warn that technical indicators often degrade after costs or regime changes. There is also repeated interest in combining signals rather than trusting one metric alone, which supports a screener that surfaces evidence, caveats, and implementation context.
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
Evidence-Based Factor Screener
Subtítulo
Build a SaaS stock screener that ranks indicators by empirical strength, then lets users screen equities using value, quality, and momentum factors with transparent evidence scores. The product should emphasize historical robustness, transaction-cost awareness, and sector-specific behavior rather than hype around any single indicator.
Para Quién Es
Para Self-directed investors and serious retail traders who want academically grounded stock screens without building their own quant pipeline.
Lista de Funciones
✓ Prebuilt factor library with evidence ratings ✓ Stock screening by value, cash flow, earnings yield, and quality metrics ✓ Sector-relative factor views and historical robustness dashboards
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.
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