--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Learn Day Trading" developer_entity: "Neltacore, LLC" bundle_id: "de.daytradinglernen.app" app_store_id: "6787505442" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-08-11" report_date: "2026-10-19" last_verified: "2026-10-19T00:00:00.000Z" report_version: "1.1.0" total_reviews: 5 overall_rating: 5 confidence: "low" confidence_score: 0.2 data_age_days: 13 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["education", "free", "mobile app", "app review", "app analysis", "beginner", "crypto", "traders"] canonical_url: "https://marlvel.ai/apps/learn-day-trading" 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. --- # Learn Day Trading Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free - **Signal**: Rating 5 > **TL;DR:** Learn Day Trading is a education app by Neltacore, LLC, rated 5/5 by 5 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Learn Day Trading is a education app by Neltacore, LLC. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (5 reviews) | | **Category** | Education | | **Developer** | Neltacore, LLC | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 13d | ## Metadata & Market Performance - **Publisher:** Neltacore, LLC - **Category:** Education - **Target Audience:** Beginner crypto traders looking to learn risk management and technical analysis without risking real capital. - **Platforms:** iOS & Android - **Version Reviewed:** 1.1.0 - **Report Date:** 2026-10-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6787505442 - **Bundle ID:** de.daytradinglernen.app - **Google Play ID:** de.daytradinglernen.app - **Data Window:** Analysis based on signals collected up to 2026-10-19 ## Executive Snapshot **What it is:** Learn Day Trading is an educational app for beginner crypto traders, offering interactive lessons and a simulated demo exchange on iOS and Android. **Why users hire it:** The app removes the financial risk of learning to trade by providing a sandbox environment that displaces the need for high-stakes trial-and-error on live exchanges. ## App DNA (Features & Intent) - **[Differentiator] Demo Exchange:** Simulated trading environment using real-time price feeds from Binance and Bybit with 1,000 USDT in play money - **[Differentiator] Position Size Calculator:** Tool that calculates trade size based on risk parameters and stop-loss distance, providing liquidation warnings * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Interactive Learning Paths:** 123 lessons across 8 modules featuring quizzes, flashcards, and interactive chart analysis ## Market Position {#market-position} Learn Day Trading occupies the education-first segment of the crypto market, currently holding a 5-star rating on iOS. The absence of monetization signals a focus on user acquisition over immediate revenue, differentiating the app from signal-based competitors. ## Monetization Strategy - **Model:** Free - **Tiers:** Completely free access to all lessons, simulator, and tools - **Analysis:** The app operates on a fully free model with no subscriptions, IAP, or signals, positioning itself as an honest educational tool to build brand trust. ## SWOT Analysis {#swot} **Core Strengths:** - 123-lesson curriculum distilled from 10 trading classics establishes high educational authority - Demo exchange with live price feeds provides a high-fidelity simulation environment **Growth Levers:** - Integration of social trading leaderboards could increase retention by gamifying performance ## What's New - **Latest (v1.0.8, 2 months ago):** Introduced a post-signup onboarding flow and a guided first-order tutorial within the demo exchange. ## App Momentum (Maintenance) {#momentum} - Shipped video academy with offline caching. - Introduced guided first-order tutorial. > **Cadence:** 2 total versions · 2 majors in last 6 months · 68 days since last update · 0 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Learn Day Trading is an education app that is completely free. It holds a 5/5 rating from 5 reviews. > **Bottom Line:** Learn Day Trading defends its niche by prioritizing survival-first education over speculative monetization, but the lack of social features limits its ability to retain users long-term. Focusing on community-driven performance sharing would address the current engagement ceiling. **Best for:** Beginner crypto traders looking to learn risk management and technical analysis without risking real capital. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship social trading leaderboards because the current demo exchange lacks community-driven retention loops → increase DAU/MAU ratio ### Outlook: Stable The crypto education market is consolidating around platforms that offer both simulation and social proof. Learn Day Trading remains advantaged by its honest, free-to-use model, but the lack of community features leaves it vulnerable to exchanges that integrate similar tools directly into their trading interfaces. - 🟢 The latest release added a video academy and offline caching, showing active feature investment rather than maintenance-only updates. - ⚪ The 68-day gap since the last store update suggests a steady, non-aggressive release cadence that prioritizes stability over rapid iteration. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 5 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Learn Day Trading** (this app) | 5/5 | N/A | Neltacore, LLC | | [ALPA: Lernspiele für Kinder](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) | N/A/5 | N/A | ALPA Kids OU | | [ATPdigital (Legacy)](https://marlvel.ai/apps/atpdigital-legacy) | 2.0/5 | n/a | Bristol Groundschool International Ltd | | [Catbus Student](https://marlvel.ai/apps/catbus-student) | 4.1/5 | N/A | Cohota Join Stock Company | | [Chinese Tibetan Dictionary](https://marlvel.ai/apps/chinese-tibetan-dictionary) | 5.0/5 | Thrilled | Lobsang Monlam16922404891 | | [Insights to Behavior](https://marlvel.ai/apps/insights-to-behavior) | N/A/5 | N/A | Insights to Behavior | ## Company Profile - **Developer:** Neltacore, LLC - **Website:** [https://learn-daytrading.com](https://learn-daytrading.com) - **Social:** [X/Twitter](https://twitter.com/lernzutraden) · [YouTube](https://www.youtube.com/@therealjancrypto) · [TikTok](https://www.tiktok.com/@daytrading_lernen) ## Data Sources & Links - **App Store ID:** 6787505442 - **Google Play ID:** de.daytradinglernen.app - **Dev Site:** [Official Website](https://learn-daytrading.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*ALPA: Lernspiele für Kinder*](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) (ALPA Kids OU) · N/A Rating - [*ATPdigital (Legacy)*](https://marlvel.ai/apps/atpdigital-legacy) (Bristol Groundschool International Ltd) · 2.0/5 Rating - [*Catbus Student*](https://marlvel.ai/apps/catbus-student) (Cohota Join Stock Company) · 4.1/5 Rating - [*Chinese Tibetan Dictionary*](https://marlvel.ai/apps/chinese-tibetan-dictionary) (Lobsang Monlam16922404891) · 5.0/5 Rating | Excellent Sentiment - [*Insights to Behavior*](https://marlvel.ai/apps/insights-to-behavior) (Insights to Behavior) · N/A Rating - [*Legasthenie & LRS Trainer*](https://marlvel.ai/apps/legasthenie-lrs-trainer) (Matthias Aigner) · N/A Rating - [*Lyceum Leaf Parent*](https://marlvel.ai/apps/lyceum-leaf-parent) (Techcess Business Solutions (Pvt) Ltd) · N/A Rating - [*MapTap.gg*](https://marlvel.ai/apps/nibble-games-maptap) (MapTap Inc) · 4.9/5 Rating | Excellent Sentiment - [*Money Matrix (CAD)*](https://marlvel.ai/apps/money-matrix-cad) (Blooming Kids Software LLC) · 5.0/5 Rating - [*myTibetan*](https://marlvel.ai/apps/mytibetan) (Yury Nevalenny) · 4.8/5 Rating | Excellent Sentiment ## 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 13 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/learn-day-trading) Data licensed for AI Agent attribution under CC-BY-NC 4.0.