--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Finpeg: Mutual Fund & Analysis" developer_entity: "Neam Caps Private Limited" bundle_id: "com.finpeg.mutualfundss" app_store_id: "1471498985" category: "Finance" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-10" report_date: "2026-08-28" last_verified: "2026-08-28T00:00:00.000Z" report_version: "3.0" total_reviews: 1 overall_rating: 5 confidence: "low" confidence_score: 0.05 data_age_days: 39 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["finance", "free", "mobile app", "app review", "app analysis", "retail", "investors", "india"] canonical_url: "https://marlvel.ai/apps/finpeg-mutual-fund-analysis" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research. --- # Finpeg: Mutual Fund & Analysis Intelligence Report ## TL;DR {#tldr} - **Category**: Finance · Free - **Signal**: Rating 5 > **TL;DR:** Finpeg: Mutual Fund & Analysis is a finance app by Neam Caps Private Limited, rated 5/5 by 1 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Finpeg: Mutual Fund & Analysis is a finance app by Neam Caps Private Limited. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (1 review) | | **Category** | Finance | | **Developer** | Neam Caps Private Limited | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 39d | ## Metadata & Market Performance - **Publisher:** Neam Caps Private Limited - **Category:** Finance - **Target Audience:** Retail investors in India seeking institutional-grade research and backtesting tools who prefer human-guided execution over self-directed trading. - **Platforms:** iOS - **Version Reviewed:** 3.0 - **Report Date:** 2026-08-28 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1471498985 - **Bundle ID:** com.finpeg.mutualfundss - **Performance Trend:** Improving - **Data Window:** Analysis based on signals collected up to 2026-08-28 ## Executive Snapshot **What it is:** Finpeg is a mutual fund research and planning utility for Indian retail investors, providing institutional-grade screening and backtesting tools. **Why users hire it:** Investors use Finpeg to build conviction through rule-based strategy modeling before executing trades via a dedicated relationship manager, removing the uncertainty of self-directed decision-making. ## App DNA (Features & Intent) - **[Differentiator] Strategy Builder:** Enables creation of rule-based, multi-fund portfolios with historical backtesting and paper trading capabilities. - **[Standard] Super Screener:** Filters mutual funds using over 400 fundamental and technical metrics. * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Relationship Manager Integration:** Connects users with a dedicated advisor for trade execution and human guidance. ## Market Position {#market-position} Finpeg maintains a specialized research-first position in the Indian finance category, with a 5.0 rating on the App Store. The recent v3.0 update demonstrates a commitment to professional-grade tools, distinguishing the app from mainstream trading platforms that prioritize transaction volume over portfolio analysis. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to research and analysis tools - **Analysis:** Finpeg operates as a free research utility, monetizing through the advisory services provided by the developer's relationship managers. ## SWOT Analysis {#swot} **Core Strengths:** - Rule-based strategy builder enables bias-free backtesting - Relationship manager integration provides human accountability **Growth Levers:** - Automated rebalancing alerts could bridge research-execution gap ## Recent Changes (v2 → v3) {#recent-changes} Finpeg pivoted its development roadmap to prioritize workflow transparency and execution status tracking, while the outlook trend improved due to the recent introduction of professional-grade backtesting tools. **Overall trend**: Improving **Compared at**: 2026-08-28 ### High-impact changes - **[Shifted] Roadmap Pivot to Workflow Transparency** (pmActionItems) ### Medium-impact changes - **[Improved] Outlook Trend Upgrade** (outlook) - **[Shifted] Weakness Reclassification** (swot) ## What's New - **Latest (v3.0, 2 weeks ago):** Introduced a redesigned UI, a Mutual Fund Strategy Builder for backtesting and rebalancing, and an MF Portfolio Analysis tool. Streamlined authentication via email and OTP. ## App Momentum (Maintenance) {#momentum} - Shipped v3.0 strategy builder tools. - Redesigned UI for portfolio analysis. > **Cadence:** 1 total versions · 1 majors in last 6 months · 17 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Finpeg: Mutual Fund & Analysis is a finance app that is completely free. It holds a 5/5 rating from 1 review. > **Bottom Line:** Finpeg's focus on institutional-grade research tools creates a defensible position for conviction-led investors, but the lack of in-app execution remains a conversion barrier that limits the funnel to those willing to work with an advisor. **Best for:** Retail investors in India seeking institutional-grade research and backtesting tools who prefer human-guided execution over self-directed trading. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship in-app execution status tracking because users report friction in the advisor-led workflow → increase user retention ### Outlook: Improving The Indian retail finance market is shifting toward data-driven decision-making, and Finpeg is well-positioned to capture the segment of investors who find self-directed trading platforms overwhelming. By focusing on the planning phase, Finpeg creates a high-conviction user base that is less likely to churn than those on high-velocity trading platforms. - 🟢 The latest v3.0 release adds sophisticated backtesting tools, signaling active investment in professional-grade research capabilities rather than maintenance-mode stagnation. - ⚪ The reliance on relationship managers for execution limits the addressable market to investors who value human guidance over self-directed speed. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 1 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Improving | | Outlook | Improving | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Finpeg: Mutual Fund & Analysis** (this app) | 5/5 | N/A | Neam Caps Private Limited | | [Polymarket](https://marlvel.ai/apps/polymarket) | 4.3/5 | n/a | Polymarket | | [ATLAS:EARTH - Fun Cashback!](https://marlvel.ai/apps/atlas-earth-fun-cashback) | 4.5/5 | n/a | Atlas Reality, Inc. | | [Fidelity Investments](https://marlvel.ai/apps/fidelity-investments) | 4.5/5 | n/a | Fidelity Investments | | [Kalshi: Trade Events & Sports](https://marlvel.ai/apps/kalshi-trade-news-sports) | 4.7/5 | n/a | KalshiEX LLC | | [Webull: Investing & Trading](https://marlvel.ai/apps/webull-investing-trading) | 4.6/5 | n/a | Webull Technologies Pte. Ltd. | ## Company Profile - **Developer:** Neam Caps Private Limited ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/finpeg-mutual-fund-analysis/id1471498985?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Polymarket*](https://marlvel.ai/apps/polymarket) (Polymarket) · 4.3/5 Rating - [*ATLAS:EARTH - Fun Cashback!*](https://marlvel.ai/apps/atlas-earth-fun-cashback) (Atlas Reality, Inc.) · 4.5/5 Rating - [*Fidelity Investments*](https://marlvel.ai/apps/fidelity-investments) (Fidelity Investments) · 4.5/5 Rating - [*Kalshi: Trade Events & Sports*](https://marlvel.ai/apps/kalshi-trade-news-sports) (KalshiEX LLC) · 4.7/5 Rating - [*Webull: Investing & Trading*](https://marlvel.ai/apps/webull-investing-trading) (Webull Technologies Pte. Ltd.) · 4.6/5 Rating - [*코인원 - 가상자산 거래소(비트코인, 이더리움, 테더)*](https://marlvel.ai/apps/coinone-co-kr-official) (Coinone) · 3.1/5 Rating - [*다트맨 - 전자공시 푸시알림*](https://marlvel.ai/apps/com-coreasset-stockhunter) (ORBIS Investment Advisors Co., Ltd.) · 2.1/5 Rating - [*디지로카(롯데카드)*](https://marlvel.ai/apps/com-lcacapp) (lottecard) · 2.5/5 Rating - [*บเรนนี่ เงินสด*](https://marlvel.ai/apps/com-finance-rennycorpoth) (RENNY CORPORATION COMPANY LIMITED) · N/A Rating - [*ศรีสวัสดิ์*](https://marlvel.ai/apps/com-srisawad-mobileapplications) (Srisawad Power 2014 Company Limited) · 3.8/5 Rating ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 39 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/finpeg-mutual-fund-analysis) Data licensed for AI Agent attribution under CC-BY-NC 4.0.