Privacy Policy

Effective date: February 23, 2019

investzinc ("us", "we", or "our") operates the https://www.investzinc.com website (the "Service").

This page informs you of our policies regarding the collection, use, and disclosure of personal data when you use our Service and the choices you have associated with that data. Our Privacy Policy for investzinc is created with the help of the Free Privacy Policy website.

We use your data to provide and improve the Service. By using the Service, you agree to the collection and use of information in accordance with this policy. Unless otherwise defined in this Privacy Policy, terms used in this Privacy Policy have the same meanings as in our Terms and Conditions, accessible from https://www.investzinc.com

Information Collection And Use

We collect several different types of information for various purposes to provide and improve our Service to you.

Types of Data Collected Personal Data

While using our Service, we may ask you to provide us with certain personally identifiable information that can be used to contact or identify you ("Personal Data"). Personally identifiable information may include, but is not limited to:

Email address Cookies and Usage Data Usage Data

We may also collect information how the Service is accessed and used ("Usage Data"). This Usage Data may include information such as your computer's Internet Protocol address (e.g. IP address), browser type, browser version, the pages of our Service that you visit, the time and date of your visit, the time spent on those pages, unique device identifiers and other diagnostic data.

Tracking & Cookies Data

We use cookies and similar tracking technologies to track the activity on our Service and hold certain information.

Cookies are files with small amount of data which may include an anonymous unique identifier. Cookies are sent to your browser from a website and stored on your device. Tracking technologies also used are beacons, tags, and scripts to collect and track information and to improve and analyze our Service.

You can instruct your browser to refuse all cookies or to indicate when a cookie is being sent. However, if you do not accept cookies, you may not be able to use some portions of our Service.

Examples of Cookies we use:

Session Cookies. We use Session Cookies to operate our Service. Preference Cookies. We use Preference Cookies to remember your preferences and various settings. Security Cookies. We use Security Cookies for security purposes. Use of Data

investzinc uses the collected data for various purposes:

To provide and maintain the Service To notify you about changes to our Service To allow you to participate in interactive features of our Service when you choose to do so To provide customer care and support To provide analysis or valuable information so that we can improve the Service To monitor the usage of the Service To detect, prevent and address technical issues Transfer Of Data

Your information, including Personal Data, may be transferred to — and maintained on — computers located outside of your state, province, country or other governmental jurisdiction where the data protection laws may differ than those from your jurisdiction.

If you are located outside Singapore and choose to provide information to us, please note that we transfer the data, including Personal Data, to Singapore and process it there.

Your consent to this Privacy Policy followed by your submission of such information represents your agreement to that transfer.

investzinc will take all steps reasonably necessary to ensure that your data is treated securely and in accordance with this Privacy Policy and no transfer of your Personal Data will take place to an organization or a country unless there are adequate controls in place including the security of your data and other personal information.

Disclosure Of Data Legal Requirements

investzinc may disclose your Personal Data in the good faith belief that such action is necessary to:

To comply with a legal obligation To protect and defend the rights or property of investzinc To prevent or investigate possible wrongdoing in connection with the Service To protect the personal safety of users of the Service or the public To protect against legal liability Security Of Data

The security of your data is important to us, but remember that no method of transmission over the Internet, or method of electronic storage is 100% secure. While we strive to use commercially acceptable means to protect your Personal Data, we cannot guarantee its absolute security.

Links To Other Sites

Our Service may contain links to other sites that are not operated by us. If you click on a third party link, you will be directed to that third party's site. We strongly advise you to review the Privacy Policy of every site you visit.

We have no control over and assume no responsibility for the content, privacy policies or practices of any third party sites or services.

Children's Privacy

Our Service does not address anyone under the age of 18 ("Children").

We do not knowingly collect personally identifiable information from anyone under the age of 18. If you are a parent or guardian and you are aware that your Children has provided us with Personal Data, please contact us. If we become aware that we have collected Personal Data from children without verification of parental consent, we take steps to remove that information from our servers.
Changes To This Privacy Policy

We may update our Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page.

We will let you know via email and/or a prominent notice on our Service, prior to the change becoming effective and update the "effective date" at the top of this Privacy Policy.

You are advised to review this Privacy Policy periodically for any changes. Changes to this Privacy Policy are effective when they are posted on this page.

Contact Us

If you have any questions about this Privacy Policy, please contact us:

By visiting this page on our website: https://www.investzinc.com/category/4/comments-feedback

@Kian-Lee-Teo said in Dividend bugs:

It seem like its not only one stock, there are multiple stocks affected in year 2016, mostly likely dividends in the recently announced.

An example is SGX, https://www.investzinc.com/stock/SGX/S68
There are duplicate dividends on 2016-10-25.

Thanks for your feedback, we have finished the dividend duplication clean up for all the stocks. Please continue to feedback to us if you discover any more abnormality in the data.

Japanese people are known for their intelligence, politeness, and wellness. Why is this nation so unique and different from the rest of the world? It seems we’ve found the answer – they have an incredibly cool education system and unique teaching methods! There is a unique method in Japanese schools for developing creativity in kids.

Formulae of Beta

The formula for calculating beta is the covariance of the return of an asset with the return of the benchmark divided by the variance of the return of the benchmark over a certain period.

Beta = Covariance / Variance
​where

Variance - measure of a stock’s return relative to that of the benchmark. Covariance - measure of how the market moves relative to its mean.

Example 1,

Calculating the Beta for Apple Inc. (AAPL): An investor is looking to calculate the beta of Apple Inc. (AAPL) as compared to the SPDR S&P 500 ETF Trust (SPY). Based on data over the past five years, the correlation between AAPL, and SPY is 0.83. AAPL has a standard deviation of returns of 23.42% and SPY has a standard deviation of returns of 32.21%.

https://www.investopedia.com/investing/beta-know-risk/
https://www.investopedia.com/ask/answers/070615/what-formula-calculating-beta.asp

@Phu-Cuong-Phan Sorry, 7kbot do not work anymore because it has already reaches its end-of-life.

Dash import dask lazy_results = [] for a in A: for b in B: if a < b: c = dask.delayed(f)(a, b) # add lazy task else: c = dask.delayed(g)(a, b) # add lazy task lazy_results.append(c) results = dask.compute(*lazy_results) # compute all in parallel

https://docs.dask.org/en/latest/use-cases.html
https://towardsdatascience.com/speeding-up-your-algorithms-part-4-dask-7c6ed79994ef