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82Score
r/algotrading
SaaS subscription
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Breadth Regime Filter SaaS

Build a subscription dashboard and API that converts breadth divergences into regime scores for discretionary and systematic equity traders. The product should focus on participation breadth, sector splits, and rule-based guidance such as reducing size or tightening entry criteria when underlying participation weakens.

Steigend +486%5 Kanäle30-Tage-Erwähnungstrend: latest 2, peak 4, 30-day series
Auf Reddit ansehen
Entdeckt 27. Juni 2026

Warum das wichtig ist

You scan stocks that look technically strong, but many of those setups stall because the broader market is only being held up by a small set of leaders. The index headline tells you little about whether your type of trade is likely to work. So you end up maintaining your own breadth scripts, checking moving-average participation, and manually deciding when to reduce size or skip breakouts. Existing chart tools show pieces of the picture, but they rarely translate market participation into a practical trading regime. What you want is a simple, trusted layer that tells you when conditions are supportive, when they are deteriorating under the surface, and how much caution to apply.

  • · Entwickelt für Active retail traders and small independent systematic traders who scan individual stocks but need better market-context filters..
  • · Wahrscheinlichste Monetarisierung: SaaS subscription.

Der Schmerz · Narrativ

You scan stocks that look technically strong, but many of those setups stall because the broader market is only being held up by a small set of leaders. The index headline tells you little about whether your type of trade is likely to work. So you end up maintaining your own breadth scripts, checking moving-average participation, and manually deciding when to reduce size or skip breakouts. Existing chart tools show pieces of the picture, but they rarely translate market participation into a practical trading regime. What you want is a simple, trusted layer that tells you when conditions are supportive, when they are deteriorating under the surface, and how much caution to apply.

Score-Details

Schmerzintensität8/10
Zahlungsbereitschaft7/10
Umsetzbarkeit6/10
Nachhaltigkeit7/10

Marktsignal

30-Tage-ErwähnungstrendSpitze: 4
Sparkline: latest 2, peak 4, 30-day series
Abgedeckte Kanäle
algotradingfront_pageproductivitystartupsChatGPT

Markteinführung

Genauer Zielnutzer

Independent stock traders who take multiple swing or short-term momentum trades each week and already use scans or charting tools.

Geschätzte Nutzeranzahl

~50K active globally in the initial niche

Primärer Akquisekanal

SEO long-tail

Preisanker

$39/month

Erster Meilenstein

25 paying users within 30 days from a landing page, sample dashboard, and one breadth case-study article

MVP-Umfang · 1–2 Wochen

Woche 1
  • Ingest daily constituent data for S&P 500 and Nasdaq 100 from one market data provider
  • Compute core metrics such as percent above 20-day and 50-day averages, new highs versus new lows, and advance-decline ratios
  • Build a simple regime score using weighted breadth divergences against index price trend
  • Create a lightweight web dashboard with index and sector tabs
  • Publish a landing page with waitlist and two sample screenshots
Woche 2
  • Add email alerts for regime deterioration and improvement thresholds
  • Enable user selection of preferred sectors and breadth indicators
  • Create a rule card that maps each regime state to suggested trade aggressiveness
  • Backtest headline metrics on historical periods and display summary stats
  • Add Stripe billing and onboarding for trial users
MVP-Funktionen: Daily and intraday breadth regime score for major indexes · Sector-level participation dashboards and divergences · Alerts when breadth weakens while indexes continue rising · Rules engine that maps breadth regimes to trade filters and position sizing · CSV and webhook export for trading workflows

Differenzierung

Bestehende Lösungen
Advance/Decline indicatorsSelf-built scriptsGeneric regime models
Unser Ansatz
There is room for a breadth product that is transparent, sector-aware, automation-friendly, and designed to inform trading rules rather than act as a simplistic directional signal.

Warum dies scheitern könnte

Selbstwiderlegung — das wichtigste Vertrauenssignal

  1. 1Breadth may be viewed as interesting but not valuable enough to become a standalone paid tool if users already have charting platforms.
  2. 2The product may struggle to prove direct impact on profitability because breadth is a context layer rather than a high-conviction entry signal.
  3. 3Advanced users may prefer their own scripts and reject a simplified regime score unless customization is deep.

Evidenzzusammenfassung

Wie KI diese Erkenntnis synthetisiert hat — keine wörtlichen Zitate

Most commenters treated breadth as a market-context filter rather than a direct buy or sell signal. Several specifically described divergences between index strength and weakening participation, and multiple users said this causes stock setups to fail or become choppy. There was repeated interest in sector-level views and in converting breadth into practical rules around position sizing and trade selection, which supports a focused software product.

1 1 Beitrag analysiert5 5 KanäleAI · KI-synthetisiert · keine wörtliche Wiedergabe

Aktionsplan

Validiere diese Gelegenheit, bevor du Code schreibst

Empfohlener nächster Schritt

Bauen

Starke Nachfragesignale erkannt. Echter Schmerz und Zahlungsbereitschaft vorhanden — fang an, ein MVP zu bauen.

Landing Page Textpaket

Druckfertige Texte basierend auf echten Reddit-Kommentaren — direkt einfügen

Überschrift

Breadth Regime Filter SaaS

Unterüberschrift

Build a subscription dashboard and API that converts breadth divergences into regime scores for discretionary and systematic equity traders. The product should focus on participation breadth, sector splits, and rule-based guidance such as reducing size or tightening entry criteria when underlying participation weakens.

Für Wen

Für Active retail traders and small independent systematic traders who scan individual stocks but need better market-context filters.

Funktionsliste

✓ Daily and intraday breadth regime score for major indexes ✓ Sector-level participation dashboards and divergences ✓ Alerts when breadth weakens while indexes continue rising ✓ Rules engine that maps breadth regimes to trade filters and position sizing ✓ CSV and webhook export for trading workflows

Wo Validieren

Teile deine Landing Page in r/r/algotrading — genau dort wurden diese Schmerzpunkte entdeckt.

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Häufig gestellte Fragen

Wer spürt diesen Schmerz?
Active retail traders and small independent systematic traders who scan individual stocks but need better market-context filters.
Ist das eine echte Chance?
Diese Chance erreicht 82/100 bei der zusammengesetzten Metrik von Pain Spotter (Schmerzintensität, Zahlungsbereitschaft, technische Machbarkeit und Nachhaltigkeit). Validieren Sie weiter, bevor Sie Entwicklungszeit investieren.
Wie sollte ich das validieren?
Führen Sie 5 Customer-Discovery-Gespräche mit der Zielgruppe, veröffentlichen Sie eine Landingpage mit Warteliste und prüfen Sie den verlinkten Quellbeitrag auf aktuelle Aktivitäten, bevor Sie mit der Entwicklung beginnen.