PlusWealth Capital Management LLP
Gagandeep Singh is a Chartered Accountant with extensive experience in various finance and accounting roles. Currently serving at PlusWealth Capital Management LLP since September 2022, Gagandeep has previously held positions as an Account Officer at Vision Group Inc and as Head of Finance at Holisticoder Software Services. Prior experience includes working as an Audit Manager at Nayyar and Nayyar (CA), where statutory audits and taxation compliance were primary responsibilities, and a Tax Assistant at Raj Kumar Gupta & Associates, handling ROC filings, income tax, and VAT. Gagandeep began the professional journey as an intern at Nayyar and Nayyar CA. Educational background includes degrees from The Institute of Chartered Accountants of India and Delhi University, along with high school education at Bal Mandir Public School.
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PlusWealth Capital Management LLP
Innovation Driven Trading Firm Plus Wealth is a proprietary quantitative high frequency trading firm established in 2008 and has grown from a small group of 5 individuals to a firm of over 60 professionals working as equity researchers, quantitative analysts, traders and technologists. We proudly distinguish ourselves through our cutting-edge trading technology, our innovative trading model and a collaborative work culture. We are a privately funded quantitative trading firm booming and transcending in the most complex products in the financial markets. Our constant run to use best practices to deploy capital through quantitative analysis is the reflection to evolve of what we are today & what we aim to achieve.It is a small reflection of our belief of renewed commitment of improvement, success and excellence through constant innovation. Our tagline – “THINK.TECH.TRADE” depicts a clear understanding of our vision & mission of emerging trade through integrating the algorithm of capital through Technology as a spine. At Plus Wealth, our main emphasis is on having a clearer understanding of markets to gain from them. Through the use of techniques such as filtering, classification, time series analysis, pattern recognition, stochastic models and statistical inference, we analyse terabytes of data to find out the pricing glitches in the financial markets.