Complaint Data to be displayed by Research Analyst
Data for the month ending - September 2025
|
Sr. No. |
Received from |
Pending at the end of last month |
Received |
Resolved |
Total Pending |
Pending complaints > 3months |
Average Resolution time (in days) |
|
1 |
Directly from Investors |
0 |
1 |
1 |
0 |
0 |
2 |
|
2 |
SEBI (SCORES) |
0 |
0 |
0 |
0 |
0 |
N. A |
|
3 |
Other Sources (If any) |
0 |
0 |
0 |
0 |
0 |
N. A |
|
|
Grand Total |
0 |
0 |
0 |
0 |
0 |
N. A |
Trend of monthly disposal of complaints
|
Sr. No. |
Month |
Carried forward from previous month |
Received |
Resolved |
Pending |
|
|
January 2025 |
0 |
0 |
0 |
0 |
|
|
February 2025 |
0 |
0 |
0 |
0 |
|
|
March 2025 |
0 |
0 |
0 |
0 |
|
|
April 2025 |
0 |
0 |
0 |
0 |
|
|
May 2025 |
0 |
0 |
0 |
0 |
|
|
June 2025 |
0 |
0 |
0 |
0 |
|
|
July 2025 |
0 |
0 |
0 |
0 |
|
|
Auguest 2025 |
0 |
0 |
0 |
0 |
|
|
September 2025 |
0 |
1 |
1 |
0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Grand Total |
0 |
1 |
1 |
0 |
Trend of annual disposal of complaints
|
Sr. No. |
Year |
Carried forward from previous month |
Received |
Resolved |
Pending |
|
1. |
2024-25 |
0 |
0 |
0 |
0 |
|
2. |
2025-26 |
0 |
1 |
1 |
0 |
|
|
|
|
|
|
|
|
|
Grand Total |
0 |
1 |
1 |
0 |
Our team of certified financial analysts provides data-backed insights on equity research, portfolio analysis, and market trends. Whether you're an investor, firm, or student, we’re here to help you make informed financial decisions.
Years Experience
Research Clients
A Financial Research Analyst studies market trends, company performance, and economic indicators to provide investment recommendations. They prepare financial models, valuation reports, and data-driven forecasts for investors and organizations.
Key skills include proficiency in financial modeling, Excel, Python/R, and valuation techniques (DCF, Comparable Analysis, Ratio Analysis). Strong understanding of accounting principles and data interpretation is also essential.
Financial research provides investors with insights into company fundamentals, industry outlooks, and potential risks. It supports better decision-making, helps identify undervalued opportunities, and minimizes financial risk exposure.
Analysts often use tools like Bloomberg Terminal, Excel, Python, Power BI, and databases such as Capital IQ or Refinitiv Eikon for real-time data analysis, modeling, and research reporting.
