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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.
为什么这很重要
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.
- · 专为 Self-directed investors and serious retail traders who want academically grounded stock screens without building their own quant pipeline. 打造。
- · 最可能的变现方式：SaaS subscription。
痛点叙事
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.
得分构成
市场信号
Go-to-Market 启动方案
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
MVP 方案 · 1-2 周
- 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
差异化
为什么这件事可能失败
自我反驳——最重要的信任度信号
- 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.
证据综述
AI 如何合成此洞察——无原话引用
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.
行动计划
在写代码之前，先验证这个商机
推荐下一步
直接做
需求信号强烈。痛点真实、付费意愿明确——启动 MVP 开发。
落地页文案包
基于真实 Reddit 评论整理的即用文案，可直接粘贴到落地页
主标题
Evidence-Based Factor Screener
副标题
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.
目标用户
适合：Self-directed investors and serious retail traders who want academically grounded stock screens without building their own quant pipeline.
功能列表
✓ 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
去哪里验证
把落地页链接发布到 r/r/algotrading——这里就是这些痛点被发现的地方。
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