# K线量化模型 vs 泉金盈

The clearest difference is iOS requirement: 泉金盈 at 15.0 against K线量化模型's 18.2. On price, update cadence, ads and in-app purchases there is nothing between them.

Both are free to download. K线量化模型 sells 3 one-off in-app purchases and 泉金盈 sells 4 one-off in-app purchases. Whichever you choose, the download price is not the number that matters.

K线量化模型 ships an update fortnightly, 泉金盈 weekly. Both last shipped on October 28, 2026.

## The numbers

| Metric | K线量化模型 | 泉金盈 |
| --- | --- | --- |
| Price | Free | Free |
| In-app purchases | Yes | Yes |
| Ads | No | No |
| Update frequency | Fortnightly | **Weekly** |
| Size | 3 MB | 200 MB |
| Requires iOS | 18.2 | **15.0** |
| Devices | iPhone, iPad | **iPhone, iPad, iPod** |
| Age rating | 17+ | 4+ |
| Developer | [桂珍 王](https://appshunter.io/developer/1816092243) | [Chengdu Yongshengyi Technology Co., Ltd.](https://appshunter.io/developer/1894402779) |

## What reviewers say

### K线量化模型

[App page](https://appshunter.io/ios/app/k/id6756175832)

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

**In-app purchases (3)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 月度会员 | $4.99 | one-time |
| 年度会员 | $14.99 | one-time |
| 终身会员 | $39.99 | one-time |


### 泉金盈

[App page](https://appshunter.io/ios/app/id6762498689)

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

**In-app purchases (4)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 200 points | $1.99 | one-time |
| VIP  (1 month) | $14.99 | one-time |
| SVIP (1 month) | $69.99 | one-time |
| DADDY (1 month) | $699.99 | one-time |


## Frequently asked questions

### Is K线量化模型 free?

K线量化模型 is free to download, with in-app purchases available.

### Is 泉金盈 free?

泉金盈 is free to download, with in-app purchases available.

### Do K线量化模型 or 泉金盈 have ads?

Neither K线量化模型 nor 泉金盈 shows ads.

### Which is updated more often, K线量化模型 or 泉金盈?

K线量化模型 ships an update fortnightly, and 泉金盈 weekly. Most recently, K线量化模型 was updated on October 28, 2026 and 泉金盈 on October 28, 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.*