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Wright Alpha Fund

Wryght Research And Capital Private Limited

39.41 CR AUM

Wright Alpha Fund

Wright Alpha Fund

Wryght Research And Capital Private Limited

39.41 CR AUM

BSE 500 TRI
Benchmark
2yr 7mo
Age
EQUITY
Strategy
AMC Charges: 1%
Fixed Fees
AMC:0 % Hurdle: 10% Profit Sharing: 10%
Variable Fees
NIL
Exit Load
BSE 500 TRI
Benchmark
2yr 7mo
Age
EQUITY
Strategy
AMC Charges: 1%
Fixed Fees
AMC:0 % Hurdle: 10% Profit Sharing: 10%
Variable Fees
NIL
Exit Load
Fund manager

sonam srivastava

Fund Manager
EQUITYStrategies

Sonam Srivastava is the founder of Wright Research, an India-based Robo-advisor and Portfolio Management Service, where she creates data-driven portfolios out of her deep passion for quant finance. Wright Research is a wealth creator in the digital space that uses scientific data-driven methods to tactically extract opportunities across assets in the public markets to grow clients' wealth. Wright functions as SEBI registered Robo advisor and is among the most popular advisors among millennial investors with more than 50000 lifetime clients and 300 crore+ assets. Wright Research has delivered a 90% + outperformance over the index in the last 3 years. She has 10+ years of experience in investment research and portfolio management, working on systematic strategies, long-short strategies, and algorithmic trading. She started her career in the field with Mumbai-based Forefront Capital, acquired by Edelweiss. At Edelweiss, she worked as an algorithm designer at Edelweiss's institutional equity broking desk. After that, she worked at HSBC Europe as a quant building factor-driven portfolio solutions. Before starting Wright Research, she also worked at Qplum, doing portfolio management at the artificial intelligence-driven Robo-advisor. She graduated from IIT Kanpur with a master's in financial engineering from Worldquant University. She is a globally recognized researcher and works as a visiting faculty as AI in Finance Institute New York and BSE Institute Limited.

Sonam Srivastava is the founder of Wright Research, an India-based Robo-advisor and Portfolio Management Service, where she creates data-driven portfolios out of her deep passion for quant finance. Wright Research is a wealth creator in the digital space that uses scientific data-driven methods to tactically extract opportunities across assets in the public markets to grow clients' wealth. Wright functions as SEBI registered Robo advisor and is among the most popular advisors among millennial investors with more than 50000 lifetime clients and 300 crore+ assets. Wright Research has delivered a 90% + outperformance over the index in the last 3 years. She has 10+ years of experience in investment research and portfolio management, working on systematic strategies, long-short strategies, and algorithmic trading. She started her career in the field with Mumbai-based Forefront Capital, acquired by Edelweiss. At Edelweiss, she worked as an algorithm designer at Edelweiss's institutional equity broking desk. After that, she worked at HSBC Europe as a quant building factor-driven portfolio solutions. Before starting Wright Research, she also worked at Qplum, doing portfolio management at the artificial intelligence-driven Robo-advisor. She graduated from IIT Kanpur with a master's in financial engineering from Worldquant University. She is a globally recognized researcher and works as a visiting faculty as AI in Finance Institute New York and BSE Institute Limited.

Purpose

Wright Alpha Fund follows a concentrated momentum investing strategy composed of 10 stocks selected through a disciplined quantitative framework. The strategy focuses on identifying high conviction momentum picks using a combination of factor investing, tactical investing and artificial intelligence driven analysis to capture sustained strength across price trends, earnings momentum and quality indicators. The process studies more than 300 factors from multiple groups including fundamentals, technical signals and alternative datasets to identify companies demonstrating consistent performance and strong forward looking growth. Robust momentum filters are used to identify stocks with above medium trend strength, industry relative momentum, breakout confirmation and recent upside bursts while avoiding skewed return profiles. The strategy also evaluates earnings momentum through EPS upgrades, analyst conviction, consistency of upgrades and long term earnings trends to identify companies with credible growth visibility. A multi layered filtration framework removes distressed, overvalued and fundamentally weak stocks and prioritizes companies with strong fundamentals, valuation support and management efficiency. Portfolio allocation is concentrated with about 10 stocks, resulting in a high conviction portfolio with tactical holding periods ranging from about 3 months to 3 years and moderate turnover. Deployment may occur over 1 to 2 months depending on market conditions. The strategy is sector agnostic and market cap agnostic with allocation diversified across sectors and across large cap, mid cap and small cap companies.

Investment Approach v/s Benchmark Metrics

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1M IA return
-9.16%
1M benchmark return
-11.37%
Alpha
2.21%
1M Wealth multiple
0.91x

Investment Approach v/s Benchmark Performance

2026
2026
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Login to see the live performance and return

Wealth Creation Calculator

1M IA return
-9.16%
1M benchmark return
-11.37%
Alpha
2.21%
1M Wealth multiple
0.91x

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