# ChartLab vs K线训练

The clearest difference is in-app purchases: K线训练 at none against ChartLab's 2. ChartLab's advantage is device support (3 vs 1) and iOS requirement (15.0 vs 17.0). On price and ads there is nothing between them.

Both are free to download. ChartLab sells 2 one-off in-app purchases. K线训练 asks for nothing beyond the download.

## The numbers

| Metric | ChartLab | K线训练 |
| --- | --- | --- |
| Price | Free | Free |
| Positive reviews | — | 83.3% of reviews |
| In-app purchases | Yes | **No** |
| Ads | No | No |
| Update frequency | — | Weekly |
| Monetization | — | Freemium |
| Size | 30 MB | 20 MB |
| Requires iOS | **15.0** | 17.0 |
| Devices | **iPhone, iPad, iPod** | iPhone |
| Age rating | 12+ | 4+ |
| Developer | [YoElephant](https://appshunter.io/developer/1894442353) | [艳 王](https://appshunter.io/developer/6800156918) |

## What reviewers say

### ChartLab

[App page](https://appshunter.io/ios/app/chartlab-candlestick-training/id6798086693)

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

**In-app purchases (2)**

| Purchase | Price | Billing |
| --- | --- | --- |
| Quarterly Membership | $36.99 | one-time |
| Annual Membership | $89.99 | one-time |


### K线训练

[App page](https://appshunter.io/ios/app/k/id6800353079)

Practice stock trading with historical data without risking real money. Develop trading discipline by setting and adhering to your own rules for buying, selling, and position sizing. Track your progress and identify areas for improvement.

**Highlights:** Historical K-line simulation, Day trading simulation, Trading discipline enforcement, Performance reporting, Targeted skill training, Leaderboards, Practice record review

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

**In-app purchases:** none


## Frequently asked questions

### Is ChartLab free?

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

### Is K线训练 free?

K线训练 is free to download, with no in-app purchases.

### Do ChartLab or K线训练 have ads?

Neither ChartLab nor K线训练 shows ads.

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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.*