Feature spec
Goal: Send a clear invoice after finishing a job.
- Add a client, line items, a due date, and payment instructions.
- Preview the total before exporting a PDF.
- Keep an editable draft if export fails.
App Overview
SOXL Stock in US Market
Master SOXL Stock Analysis with Data-Driven Predictions.
$14.99 · In-app purchases
PRICE
$14.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
N/A
No ratings yet
Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.
Build your own version
Build Kit
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A product spec, screen plans, and build steps for your coding agent.
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What's included16 files
A product spec, phased build plan, differentiation notes, and screen references.
- START_HERE
- AGENTS
- EVIDENCE
- SPEC
- BUILD_PLAN
- DIFFERENTIATION
- skills/
- screens/
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Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Screen plan
Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.
States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.
Differentiate and validate
Hypothesis: Contractors need faster repeat invoices more than more templates.
First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.
The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.
Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.
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Free quick prompt For a smaller starting point
Quick prompt
Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
// RORK SYSTEM PROMPT
Rork plan preview for SOXL Stock in US Market: map the core Finance workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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Opportunities
AI-GENERATED OPPORTUNITY HYPOTHESES
These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.
Hypothesis 1
Implement a search feature and favorites list for easier access.
Assumption to check: Users may find it difficult to navigate between different stocks quickly.
Validate with people who use this workflow before building.
Hypothesis 2
Provide detailed analysis and historical performance charts.
Assumption to check: Limited information on each stock could leave users wanting more.
Validate with people who use this workflow before building.
Hypothesis 3
Offer a more gradual introduction to premium features.
Assumption to check: Subscription prompts may come off as intrusive.
Validate with people who use this workflow before building.
Hypothesis 4
Use simplified visuals and tooltips for clarity.
Assumption to check: Potential for data overload with too many metrics.
Validate with people who use this workflow before building.
App evidence
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
App Store description
Master SOXL Stock Analysis with Data-Driven Predictions. Take the guesswork out of your trading day. This app provides a powerful, math-based approach to analyzing the stock price movements. By leveraging years of historical data, we provide traders with calculated probabilities for intraday price ranges. Key Features: Interactive Historical Charts: Visualize the stock performance over time. Seamlessly filter date ranges to spot long-term trends and market cycles. Intraday Price Prediction: Simply enter today’s opening price, and our engine generates predicted Highs, Lows, and Magnitudes. Probability Scores: Don't just look at numbers—understand the likelihood. Every prediction comes with a specific probability percentage based on historical frequency. Volatility Magnitude: Calculate the predicted difference between the day’s high and low to better understand potential market volatility. Data Portability: Download the underlying CSV historical data directly to your device for your own external analysis. How it Works: Unlike "black-box" AI, this app uses sophisticated mathematical algorithms based on the actual historical price action. It calculates the probability of price extensions from the open, giving you a clear mathematical "map" for the trading day. Designed for Precision: Whether you are a day trader looking for entry/exit targets or a long-term investor analyzing volatility, this app provides the technical insights you need in a clean, ad-free interface. Disclaimer: Stock trading involves significant risk. This app is for informational and educational purposes only. The predictions provided are based on historical data and do not guarantee future results. This is not financial advice.
Written user reviews are not shown here. Check current App Store reviews >
Screenshots
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Build scope
Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Define the first version
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Set boundaries
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Check the hard parts
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
SUGGESTED BUILD STACK
React Native
Expo
Supabase
Victory Native
React Navigation
Axios
BUILD KIT DIFFICULTY
Intermediate
From the Build Kit assessment.
A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.
