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82score
r/algotrading
SaaS subscription
Build

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.

Rising +46%5 channels30-day mention trend: latest 10, peak 17, 30-day series
View on Reddit
Discovered Jun 27, 2026

Why this matters

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.

  • · Built for Active retail traders and small independent systematic traders who scan individual stocks but need better market-context filters..
  • · Most likely monetization: SaaS subscription.

The Pain · Narrative

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 Breakdown

Pain Intensity8/10
Willingness to Pay7/10
Ease of Build6/10
Sustainability7/10

Market Signal

30-day mention trendPeak: 17
Sparkline: latest 10, peak 17, 30-day series
Channels covered
algotradingValueInvestingproductivityfront_pagefintech

Go-to-Market

Exact target user

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

Estimated user count

~50K active globally in the initial niche

Primary acquisition channel

SEO long-tail

Price anchor

$39/month

First milestone

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

MVP Scope · 1–2 weeks

Week 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
Week 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 Features: 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

Differentiation

Existing solutions
Advance/Decline indicatorsSelf-built scriptsGeneric regime models
Our angle
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.

Why This Might Fail

Self-rebuttal — the most important trust signal

  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.

Evidence Summary

How AI synthesized this insight — no verbatim quotes

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 post analyzed5 5 channelsAI · AI synthesized · no verbatim

Action Plan

Validate this opportunity before writing code

Recommended Next Step

Build

Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.

Landing Page Copy Kit

Ready-to-paste copy based on real Reddit community language — no editing required

Headline

Breadth Regime Filter SaaS

Sub-headline

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.

Who It's For

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

Feature List

✓ 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

Where to Validate

Share your landing page in r/r/algotrading — that's exactly where these pain points were discovered.

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Report & PRDBUSINESS

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Frequently asked questions

Who feels this pain?
Active retail traders and small independent systematic traders who scan individual stocks but need better market-context filters.
Is this a real opportunity?
This opportunity scores 82/100 on Pain Spotter's composite metric (pain intensity, willingness to pay, technical feasibility and sustainability). Validate further before committing engineering time.
How should I validate it?
Run 5 customer-discovery conversations with the target audience, post a landing page with a waitlist, and check the linked source post for recent activity before building.