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实时更新: iShares Asia Trust - [2846.HK]

交易所: HKSE
最后更新时间28 Jun 2024 @ 15:55

0.41% HKD 24.52

Live Chart Being Loaded With Signals

Commentary (28 Jun 2024 @ 15:55):
Our systems believe the stock currently is overvalued by 0.00% compare to its pairs and should correct downwards.

iShares Asia Trust - iShares Core CSI 300 Index ETF is an exchange traded fund launched and managed by BlackRock Asset Management North Asia Limited. It invests in the public equity markets of China...

Stats
今日成交量 226 100
平均成交量 216 420
市值 245.20M
Last Dividend HKD0 ( N/A )
Next Dividend HKD0 ( N/A )
P/E 0
(Sector) 0
(Industry) 0
ATR14 HKD0 (0.00%)
相关性 (AI algo v.1.1b): Overvalued: 0.00% HKD24.52 paired level. (算法实时跟踪最相关股票的变化并提供即时更新)

iShares Asia Trust - 相关性

10 最正相关
10 最负相关

你知道吗?

相关性是描述两个变量之间关系的统计指标。它的取值范围为-1到1,其中-1表示完全负相关(一个变量增加,另一个变量减少),1表示完全正相关(一个变量增加,另一个变量也增加),0表示没有相关性(变量之间没有关系)。

相关性可用于分析任何两个变量之间的关系,而不仅仅是股票。它通常用于金融、经济学、心理学等领域。

Financial Reports:

No articles found.

iShares Asia Trust - Options Data

Calls

Contract Name Last Trade Date (EDT) Strike Last Price Bid Ask Change % Change Volume Open Interest Implied Volatility Strike Date
No data available

Puts

Contract Name Last Trade Date (EDT) Strike Last Price Bid Ask Change % Change Volume Open Interest Implied Volatility Strike Date
No data available

iShares Asia Trust -

iShares Asia Trust - iShares Core CSI 300 Index ETF is an exchange traded fund launched and managed by BlackRock Asset Management North Asia Limited. It invests in the public equity markets of China. The fund uses derivatives such as swaps and China A-Share access products to invest in the stocks of companies operating across diversified sectors. It invests in the stocks of large-cap companies. The fund seeks to replicate the performance of the CSI 300 Index, by employing synthetic replication methodology. It was formerly known as iShares Asia Trust - iShares CSI 300 A-Share Index ETF. iShares Asia Trust - iShares Core CSI 300 Index ETF was formed on November 12, 2009 and is domiciled in Hong Kong.

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Total Execution Time: 0.77694010734558 seconds
Number of API calls: 2
Number of DB calls: 8