PlusWealth Capital Management LLP
Capital MarketsView the employees at
PlusWealth Capital Management LLP-
Bhavik Vitthlapara Student at Kadi Sarva Vishwavidyalaya, Gandhinagar
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Ahmedabad, Gujarat, India
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Rising Star
Mukul Sharma Software Engineer||Python Developer || HFT||C || SQL||Django || Data analytics|-
Noida, Uttar Pradesh, India
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Rising Star
Krishan Bhatt 10K+ ✅|| Sr.Linux Engineer|Skills = Linux Security ||Technical writer||Bash Developer||Docker Administrator||Vmware ESXi || Cloud computing-
Delhi, India
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Rising Star
Anmol Joshi Software Developer at Plus Wealth (HFT)-
Rising Star
Dapinder Kaur Software testing engineer @ Pluswealth Capital | Market Research | Financial Modelling | NISM Certified Mutual Fund Distributor | NISM Certified Equity Derivatives Trader | SQL | HTML | SAP-
Patiala, Punjab, India
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Rising Star
Overview
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.
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