---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Stock Scanner Screener AI"
developer_entity: "SAGAMILL PTE. LTD."
bundle_id: "com.avdar.stockscanner"
app_store_id: "1531994046"
google_play_id: "com.screener.mobile"
category: "Finance"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2025-12-12"
report_date: "2026-04-01"
report_version: "7.9.0"
total_reviews: 11781
overall_rating: 4.53
sentiment: "Mixed"
sentiment_score: 48
confidence: "high"
confidence_score: 0.75
data_age_days: 30
intelligence_version: 2
tags: ["finance", "freemium", "mixed sentiment", "mobile app", "app review", "app analysis", "active", "retail", "investors"]
canonical_url: "https://marlvel.ai/intel-report/finance/com-avdar-stockscanner"
license: "CC-BY-NC 4.0"
last_verified: "2026-04-17T23:18:55.569Z"
---

# Stock Scanner Screener AI App Audit

> **TL;DR:** Stock Scanner Screener AI is a finance app by SAGAMILL PTE. LTD., rated 4.53/5 by 11,781 users, with Mixed user sentiment (48/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Stock Scanner Screener AI shows Mixed sentiment (4.53/5 from 11,781 reviews) — users praise utility and information but report issues with subscription and billing issues.
<!-- speakable-end -->

## Metadata & Market Performance
- **Publisher:** SAGAMILL PTE. LTD.
- **Category:** Finance
- **Target Audience:** Active retail investors and traders, ranging from day traders looking for momentum breakouts to swing traders seeking long-term fundamental opportunities.
- **Platforms:** iOS & Android
- **Version Audited:** 7.9.0
- **Audit Date:** 2026-04-01
- **Signal Count:** 99 reviews analyzed
- **Confidence:** High (0.75/1.0)
- **App Store ID (iOS):** 1531994046
- **Bundle ID:** com.avdar.stockscanner
- **Google Play ID:** com.screener.mobile
- **Data Window:** Analysis based on signals collected up to 2026-04-01

## Executive Snapshot
Stock Scanner Screener AI is a finance-focused mobile application designed to empower retail investors by automating market analysis. The app provides a suite of tools for identifying stock market opportunities, including AI-driven daily picks, breakout detection, and professional-grade technical screening. It targets active retail traders who require real-time data and actionable insights.

Currently, the app holds a strong market presence with over 11,000 ratings and a recent entry into the Finance category grossing charts (#87). Its primary differentiator is the AI-powered discovery engine. However, the app faces significant headwinds due to technical instability and severe friction in its subscription fulfillment process, which is currently driving a negative sentiment trend.

## App DNA (Features & Intent)
- **[Differentiator] AI-Powered Stock Discovery:** Proprietary algorithms that identify stocks with the highest 'Buy' probability and detect abnormal volume/momentum spikes.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] Professional-Grade Screener:** Customizable filters for technical indicators and fundamental metrics.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Sector Heatmaps:** Visual representation of industry performance to identify trending sectors.
- **[Standard] Smart Alerts:** Real-time notifications for price actions, pre-market/after-hours runners, and news catalysts.
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
- **[Standard] Advanced Charting:** Interactive charts with multiple timeframes for day and swing trading.

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free version with core scanning and charting capabilities, Premium subscription for advanced AI signals and unrestricted filtering
- **Analysis:** The app positions itself as an independent, professional-grade tool, utilizing a freemium model to capture retail traders before upselling advanced AI-driven insights.

## 🟡 User Sentiment (High Confidence: 11,781 reviews) {#user-sentiment}
- **Overall Rating:** 4.53/5
- **Platform Split:** iOS 4.7/5 (8,127 ratings) | Android 4.1/5 (3,654 ratings)
- **Overall Sentiment:** Mixed

### Top Praises
- **Utility and Information** | *Evidence:* "very useful and informative"
- **Ease of Use** | *Evidence:* "Simple UI make it more convenient for users"

### Top Complaints (Impact Areas)
- **Subscription and Billing Issues** | *Evidence:* "After you buy your subscription the app doesn’t let you access the premium content"
- **App Stability and Performance** | *Evidence:* "App is not opening"

## SWOT Analysis

**Core Strengths:**
- High-value feature set aggregating complex financial data
- Strong initial adoption and high volume of user ratings
- Effective AI-driven value proposition

**Critical Frictions:**
- Critical failure in subscription management and fulfillment
- Reported app stability issues and crashes
- Lack of transparency or active social media presence

**Growth Levers:**
- Implement transparent, reliable subscription recovery flow
- Expand asset coverage to include Mutual Funds or Futures
- Improve customer support responsiveness

**Market Threats:**
- Established competitors (TradingView, Webull) offer higher stability
- Potential for store-level penalties due to billing complaints
- Market saturation making user retention difficult

## The "So What?" (Strategic Takeaway) {#so-what}

Stock Scanner Screener AI is an established finance app that is free with in-app purchases.
With a 4.53/5 rating from 11,781 reviews, it shows polarized user reception.

**Strategic Opportunity:** While Stock Scanner Screener AI benefits from high-value feature set aggregating complex financial data, its vulnerability lies in critical failure in subscription management and fulfillment. A challenger could exploit this by focusing on implement transparent, reliable subscription recovery flow.

**Best for:** Active retail investors and traders, ranging from day traders looking for momentum breakouts to swing traders seeking long-term fundamental opportunities.

## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.53/5 |
| Total Reviews | 11,781 |
| Sentiment | Mixed (48/100) |
| Confidence | High |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 5 analyzed |

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Stock Scanner Screener AI** (this app) | 4.53/5 | Mixed | SAGAMILL PTE. LTD. |
| [Rewards: Games, Surveys & more](https://marlvel.ai/intel-report/finance/rewards-games-surveys-more) | 4.8/5 | Excited | 256 Rewards LTD |
| [Polymarket](https://marlvel.ai/intel-report/finance/polymarket) | 4.7/5 | Upset | Polymarket |
| [Fidelity Investments](https://marlvel.ai/intel-report/finance/fidelity-investments) | 4.8/5 | Frustrated | Fidelity Investments |
| [Webull: Investing & Trading](https://marlvel.ai/intel-report/finance/webull-investing-trading) | 4.7/5 | Mixed | Webull Technologies Pte. Ltd. |
| [Kalshi: Trade News & Sports](https://marlvel.ai/intel-report/finance/kalshi-trade-news-sports) | 4.7/5 | Frustrated | KalshiEX LLC |

## Company Profile
- **Developer:** SAGAMILL PTE. LTD.
- **Website:** [https://sagamill.firebaseapp.com/](https://sagamill.firebaseapp.com/)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/stock-scanner-screener-ai/id1531994046?uo=2)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.screener.mobile&hl=en&gl=us)
- **Dev Site:** [Official Website](https://sagamill.firebaseapp.com/)
- **Sources:** Developer website content, App store metadata, User reviews.

## Related Intel Reports
- [*Rewards: Games, Surveys & more*](https://marlvel.ai/intel-report/finance/rewards-games-surveys-more) (256 Rewards LTD) — 4.8/5 Rating | Positive Sentiment
- [*Polymarket*](https://marlvel.ai/intel-report/finance/polymarket) (Polymarket) — 4.7/5 Rating | Terrible Sentiment
- [*Fidelity Investments*](https://marlvel.ai/intel-report/finance/fidelity-investments) (Fidelity Investments) — 4.8/5 Rating | Negative Sentiment
- [*Webull: Investing & Trading*](https://marlvel.ai/intel-report/finance/webull-investing-trading) (Webull Technologies Pte. Ltd.) — 4.7/5 Rating | Mixed Sentiment
- [*Kalshi: Trade News & Sports*](https://marlvel.ai/intel-report/finance/kalshi-trade-news-sports) (KalshiEX LLC) — 4.7/5 Rating | Negative Sentiment
- [*Balance My Checkbook*](https://marlvel.ai/intel-report/finance/com-lingsdesigns-balancecheckfree) (LingsDesigns) — N/A Rating | N/A Sentiment
- [*Polypal - Polymarket tracker*](https://marlvel.ai/intel-report/finance/polypal-polymarket-tracker) (Joshua Parker) — 2.4/5 Rating | Terrible Sentiment
- [*MinistryExpense*](https://marlvel.ai/intel-report/finance/com-feed4sheep-ministryexpense) (David Woods) — N/A Rating | N/A Sentiment
- [*iValidCard*](https://marlvel.ai/intel-report/finance/com-nanosoft-ivalidcard) (NanoSoft, LLC) — N/A Rating | N/A Sentiment
- [*XpenseTracker*](https://marlvel.ai/intel-report/finance/com-silverware-xpensetracker) (Silverware Software, LLC) — N/A Rating | N/A Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline:

1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning.
2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes.
3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights.

- **Confidence Score:** 0.75/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 99
- **Data Sources:** user reviews, developer website, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 7 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/finance/com-avdar-stockscanner)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.