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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.
これが重要な理由
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.
- · Self-directed investors and serious retail traders who want academically grounded stock screens without building their own quant pipeline.向けに構築。
- · 最も可能性の高い収益化モデル: SaaS subscription。
痛み · ナラティブ
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.
スコア内訳
市場シグナル
市場投入
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の範囲 · 1～2週間
- 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
差別化
失敗する可能性がある理由
自己反論 — 最も重要な信頼のシグナル
- 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.
エビデンスの概要
AIがこのインサイトをどのように統合したか — 逐語的な引用はありません
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.
アクションプラン
コードを書く前に、この機会を検証しましょう
推奨する次のステップ
開発する
強い需要シグナルを検出。本物の課題と支払い意欲を確認 — MVPの開発を始めましょう。
ランディングページ文案キット
実際のRedditコメントから抽出したコピー、そのまま貼り付けられます
見出し
Evidence-Based Factor Screener
サブ見出し
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.
ターゲットユーザー
対象：Self-directed investors and serious retail traders who want academically grounded stock screens without building their own quant pipeline.
機能リスト
✓ 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
どこで検証するか
r/r/algotrading にランディングページのリンクを投稿しましょう — そこがこの課題が発見された場所です。
同じテーマの他の機会
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