This audit was generated on April 10, 2026
The data may no longer be up to date.
Visibility Breakdown
How your app performs across different visibility factors
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Your app's position for key search terms
10
Keywords analyzed
7
Ranked in top 100
3
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| sharepreds | #1 | — | ||||
| machine learning stocks | #2 | |||||
| ai stock trading | #10 | |||||
| penny stocks simulator | #16 | |||||
| stock prediction ai | #19 | |||||
| ai trading botOpportunity | #61 | |||||
| stock simulator portfolioOpportunity | #83 | |||||
| stock price forecastOpportunity | Not ranked | — | — | |||
| swing trading signalsOpportunity | Not ranked | — | — | |||
| stock market predictorOpportunity | Not ranked | — | — |
Keyword Competitors
Apps positioned directly before or after yours on keywords
Technical-Analysis.AI
Finance
Robinhood: Trading & Investing
Finance
Trading Simulator: Alpha Chart
Finance
Options Trading AI : OpPreds
Finance
My Portfolio (Tracker) - India
Tools
StockEdge: Stock Market App
Finance
Trade AI - Stock Analyzer
Productivity
E*TRADE: Invest. Trade. Save.
Finance
Stock Exchange Game Simulator
Game Simulation
Chart AI Analysis - Lots AI
Tools
Occurrence count shows how many keywords each competitor appears on
Category Ranking
Finance chart position
Cash App
Freecash: Earn Money
PayPal - Pay, Send, Save
TurboTax: File Your Tax Return
Chime® – Fee-Free Banking
Venmo
Progressive
OnePay – Mobile Banking
Intuit Credit Karma
Testerup: Test & Earn Rewards
Capital One Mobile
Google Wallet
Kalshi: Trade News & Sports
Wells Fargo Mobile®
Klarna: Smarter everyday money
Improve your ratings and downloads to climb the category charts.
AI-Powered Analysis
Personalized insights generated by our AI
The app shows strong core keyword performance (sharepreds #1, machine learning stocks #2) but suffers from low visibility in charts and missing rankings for several high‑traffic terms, resulting in a moderate overall visibility score of 70.
The brand term "sharepreds" ranks #1 with a traffic potential of 77 and low difficulty (37). This solidifies brand recall and drives organic installs. Keep the brand prominently in the title and subtitle to maintain this advantage.
"machine learning stocks" ranks #2 (traffic 48, difficulty 33) and contributes to the strong 89% keyword score. Highlight the ML aspect in the short description and visual assets to capitalize on this niche.
Charts Score is 0%, meaning the app does not appear in top‑10 lists for any category or global chart. Without chart exposure, discoverability drops dramatically. Improve conversion assets and solicit reviews to boost rankings.
Key terms like "stock price forecast" (traffic 47), "swing trading signals" (traffic 56) and "stock market predictor" (traffic 63) are not ranked, despite moderate difficulty (34‑45). Incorporating these phrases into the title, subtitle, and long description can capture untapped search volume.
Competitors such as Robinhood and Technical‑Analysis.AI rank ahead while sharing only one keyword each. Target their high‑ranking terms (e.g., "trading signals", "stock analyzer") by adding them naturally to metadata and UI copy to siphon traffic.
Current Quality Score is 78%, indicating room for improvement in screenshots, video, and app icon. Adding a 30‑second demo video and updating screenshots to showcase AI predictions and simulator features can raise the Quality Score and aid chart rankings.
- 1Add unranked high‑traffic keywords (e.g., "stock price forecast", "swing trading signals", "stock market predictor") to the title, subtitle, and first 80 characters of the description.
- 2Create a high‑quality 30‑second video demo and refresh screenshots to highlight AI predictions and simulator outcomes.
- 3Encourage satisfied users to leave 5‑star reviews and respond to existing feedback to improve rating velocity.
- 4Implement A/B testing on the short description and icon to lift the Quality Score above 85% and trigger chart placement.
- 5Localize title and key phrases for top performing markets (US, UK, Canada) to capture additional organic traffic.
ASO Insights
Actionable recommendations to improve your visibility
Detailed description
Your description is 3938 characters, providing good keyword density and information for users.
Strong visual presence
24 screenshots give users a comprehensive view of your app.
Strong keyword positions
Ranking in top 10 for 2 keyword(s): ai stock trading, machine learning stocks.
Good visibility score
Score of 70/100 indicates solid app store presence.
No significant issues found
Not in category top charts
Improving ratings and downloads can help reach category top charts.
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Audit FAQ
Common questions about this ASO audit.
What is the ASO visibility score of Stock Trading AI : SharePreds?
Stock Trading AI : SharePreds has a visibility score of 70 out of 100 on the Google Play (US). The score combines keyword rankings, top charts presence, and listing quality signals like rating and update recency. This audit was generated on April 10, 2026.
On how many keywords does Stock Trading AI : SharePreds rank?
Stock Trading AI : SharePreds is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 7 keywords, with 3 keywords reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Who are the main competitors of Stock Trading AI : SharePreds?
Based on shared keyword rankings, the most frequent competitors of Stock Trading AI : SharePreds are StockEdge: Stock Market App, Technical-Analysis.AI, Trade AI - Stock Analyzer. These apps appear next to Stock Trading AI : SharePreds on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
What category is Stock Trading AI : SharePreds in on the Google Play?
Stock Trading AI : SharePreds is listed in the Finance category on the Google Play.
How can Stock Trading AI : SharePreds improve its App Store Optimization?
Based on this audit, Stock Trading AI : SharePreds should focus on the keywords where it ranks 11 to 50 (closest to the top 10), benchmark its title and subtitle against the most frequent competitors, and refresh its listing regularly to maintain quality signals. The full audit lists specific weaknesses, opportunities, and AI-generated suggestions tailored to Stock Trading AI : SharePreds.
How was this ASO audit generated?
This audit was generated automatically by Applyra by scraping public Google Play data: app metadata, keyword rankings, category positions, and competitor listings. Visibility, keyword and listing quality scores are computed from those signals. Audits are free and do not require an Applyra account.