Shyam Advisory 17+

Investment Advisor

SHYAM ADVISORY LIMITED

Designed for iPhone

    • 2.6 • 5 Ratings
    • Free

iPhone Screenshots

Description

Shyam Advisory is one of India's leading Advisory Company. It offers services regarding Equity, MCX, NCDEX & Currency With an experience of over six years, Shyam Advisory – Investment Advisor has contributed significantly to the growth and development of the Advisory industry in India. Shyam Advisory has carved a niche in the Advisory sector due to its rich heritage, integrity, adherence to prudent practices, technology advancement, customized products and services and most of all due to its experienced, qualified and professional Representatives.

Shyam Advisory product portfolio comprises solutions, which meet various customer needs such as Short term Investment, Long Term Investment. Our company currently has different categories of plans to fulfill the needs of customers. The company has a strong base of highly satisfied Investors and Traders.

What’s New

Version 7.0.0

one new section(compliance audit status) is added in this version, which is shown in Drawer.

Ratings and Reviews

2.6 out of 5
5 Ratings

5 Ratings

rbaru@77 ,

Don’t take the advisory

Out of 10 trades only 1 or 2 trades make money that to way less than the money list on other trades.
My whole capital is gone.
Don’t fall in their trap.
Their call are pathetic and services are worst.

vansnbs ,

It’s fake

Iska koi bi plan buy mat karna. Ye log sirf aapke pas fees lege or aapko loss karvayege. Agar aapne fees de di he to bi trade mat karna. Mere 35000. Capital tha usko sir 10 days me zero karva diya. Drasti name ki mam he jo trade karva rahi thi.

App Privacy

The developer, SHYAM ADVISORY LIMITED, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • Contact Info
  • User Content

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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