# 阮慕驊 vs 國泰投信

The clearest difference is in-app purchases: 國泰投信 at none against 阮慕驊's 1. 國泰投信 also leads on iOS requirement (13.0 vs 15.0). 阮慕驊's advantage is device support. On price there is nothing between them.

Both are free to download. 阮慕驊 sells 1 in-app purchase, starting at $14.99 per month. 國泰投信 asks for nothing beyond the download.

## The numbers

| Metric | 阮慕驊 | 國泰投信 |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[3.7 (3 ratings)](https://appshunter.io/ios/app/id6473765886/reviews)** | — |
| Number of ratings | **3** | — |
| Positive reviews | 65.4% of reviews | — |
| In-app purchases | Yes | **No** |
| Ads | No | — |
| Update frequency | Every 6 weeks | — |
| Monetization | Free with in-app purchases | — |
| Size | 179 MB | 17 MB |
| Requires iOS | 15.0 | **13.0** |
| Devices | **iPhone, iPod** | — |
| Age rating | 17+ | 17+ |
| Developer | [CMoney](https://appshunter.io/developer/503431064) | [CATHAY SECURITIES AND INVESTMENT CO., LTD.](https://appshunter.io/developer/952057827) |

## What reviewers say

### 阮慕驊

[App page](https://appshunter.io/ios/app/id6473765886)

This app uses AI and big data to identify strong stocks based on technical and fundamental analysis. It provides curated stock lists, individual stock health checks, and macro indicator-based investment advice to help users make informed trading decisions.

**Highlights:** AI-powered stock screening, Curated stock lists, Stock health check, Macro indicator analysis, Investment strategy guidance, Exclusive content and community

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases (1)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 阮慕驊 - 選股一路發APP自動續約方案490元/30天 | $14.99 | per month |


### 國泰投信

[App page](https://appshunter.io/ios/app/id6474708886)

**In-app purchases:** none


## Frequently asked questions

### Is 阮慕驊 free?

阮慕驊 is free to download, with in-app purchases available.

### Is 國泰投信 free?

國泰投信 is free to download, with no in-app purchases.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*