# 量化大师专业版 vs 复盘盒子

The clearest difference is monetization model: 量化大师专业版 at free against 复盘盒子's free with in-app purchases. 复盘盒子's advantage is ratings volume (17 vs 2) and iOS requirement (12.0 vs 15.0). On price, rating, update cadence and ads there is nothing between them.

Both are free to download. 量化大师专业版 sells 9 one-off in-app purchases and 复盘盒子 sells 3 one-off in-app purchases. Whichever you choose, the download price is not the number that matters.

On the App Store both sit at effectively the same score — 5.0 for 量化大师专业版 against 4.9 for 复盘盒子. That said, the two scores are not equally well evidenced: 复盘盒子 has 17 ratings behind it against 2, so its average is the more settled of the two.

量化大师专业版 ships an update every 3 weeks, 复盘盒子 every 2 weeks. The most recent releases landed on September 8, 2026 and September 19, 2026 respectively.

## The numbers

| Metric | 量化大师专业版 | 复盘盒子 |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[5.0 (2 ratings)](https://appshunter.io/ios/app/id1535580606/reviews)** | [4.9 (17 ratings)](https://appshunter.io/ios/app/id6473709451/reviews) |
| Number of ratings | 2 | **17** |
| In-app purchases | Yes | Yes |
| Ads | No | No |
| Update frequency | Every 3 weeks | **Every 2 weeks** |
| Monetization | **Free** | Free with in-app purchases |
| Size | 16 MB | 44 MB |
| Requires iOS | 15.0 | **12.0** |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Age rating | 17+ | 17+ |
| Developer | [治波 王](https://appshunter.io/developer/1744485157) | [Wuxi Nighost Network Technology,.Ltd](https://appshunter.io/developer/1370996111) |

## What reviewers say

### 量化大师专业版

[App page](https://appshunter.io/ios/app/id1535580606)

Create, test, and run custom quantitative trading strategies directly on your mobile device. Automate stock selection and receive trade adjustment notifications through cloud-based simulations. Analyze historical data to validate strategy performance and risk control.

**Highlights:** Graphical strategy creation without coding, Cloud-based automatic strategy execution, Extensive historical market data for backtesting, Real-time quantitative stock selection, Customizable indicator formula support, Cloud simulation for strategy testing

**Features:** macOS Compatibility

**In-app purchases (9)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 18金币 | $2.99 | one-time |
| 100金币 | $14.99 | one-time |
| 白银VIP（月） | $14.99 | one-time |
| 专家VIP | $22.99 | one-time |
| 黄金VIP（月） | $39.99 | one-time |
| 300金币 | $49.99 | one-time |
| 1000金币 | $129.99 | one-time |
| 私募VIP（季度） | $229.99 | one-time |
| 私募VIP（年度） | $599.99 | one-time |


### 复盘盒子

[App page](https://appshunter.io/ios/app/id6473709451)

This utility app assists short-term stock traders, particularly those focused on 'hitting the board,' by organizing daily market and news information. It visually presents historical data on sector rotation, consecutive gains, and stock performance, allowing users to customize content formats for efficient daily review and backtesting.

**Highlights:** Daily market information organization, News information consolidation, Sector rotation analysis, Consecutive gain tracking, Thematic stock discovery, Visualized historical data, Customizable content formats

**Features:** macOS Compatibility

**In-app purchases (3)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 月卡 | $14.99 | one-time |
| 年卡 | $149.99 | one-time |
| SVIP年卡 | $299.99 | one-time |


## Frequently asked questions

### Is 量化大师专业版 free?

量化大师专业版 is free to download, with in-app purchases available.

### Is 复盘盒子 free?

复盘盒子 is free to download, with in-app purchases available.

### Which has better reviews, 量化大师专业版 or 复盘盒子?

量化大师专业版 is rated higher. 量化大师专业版 averages 5.0 out of 5 from 2 ratings, while 复盘盒子 averages 4.9 from 17 ratings.

### Do 量化大师专业版 or 复盘盒子 have ads?

Neither 量化大师专业版 nor 复盘盒子 shows ads.

### Which is updated more often, 量化大师专业版 or 复盘盒子?

量化大师专业版 ships an update every 3 weeks, and 复盘盒子 every 2 weeks. Most recently, 量化大师专业版 was updated on September 8, 2026 and 复盘盒子 on September 19, 2026.

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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.*
