Quant Home2021-01-13T15:52:35+05:30

Opportunity to create wealth every millisecond

Algorithmic trading in stocks, currencies and commodities.

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What is Quant?

Quantitative investing is a form in which investment decision or the stock selection is done according to predetermined rules based on a statistical or mathematical model that eliminates human bias and subjectivity.

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What we specialize in

  • Proprietary mathematical models to take advantage of market psychology and generate alpha through an algorithmic and machine-driven investing approach to public market products.

  • 100MM+ order data points. Back testing capability on 10+years of historical data.

How is Quant trading different?

Automated trading using mathematical models, AI/ML, not betting on rumors and gossip. Strategies back tested for consistency and predictability.

High Frequency Trading

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Also known as HFT, trading using global best data center to transact a large number of orders. Complex algorithms to analyze multiple markets and execute orders based on market conditions. Trading thousands of crores everyday.

Minimal to no human intervention

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Minimal to no human intervention. Objective variable based criteria rather than human discretion. Automated trading using mathematical models, AI/ML.

Robust Back - Testing & Validation

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Back-testing and validation using statistical analysis on historical data for the last 10-15 years. 100MM+ order data points to models with live market data and Portfolio selection.

Ultra Low Latency Platform

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World class low latency platform Co-located with NSE, BSE, MCX, MCX-SX. Capacity of 10 MM+ orders/day. Fastest execution with smart order routing capability.

Top Tier Quantitative Team

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Tech professionals from top universities from across the world. 100+ years of combined experience across consulting, deal advisory, investment management, investor relations, risk management, M&A, technology and banking.

Real-time Tick by Tick Market Data

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Tick by Tick market data for analytics. Manage risks real-time with complete transparency. Real time risk monitoring for positions and exposure. Automated alerts and hedging strategies in place.

Quantamental investing, The future is now.

Embrace factor-based quantitative approach because they have delivered excess returns.

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30kCr.

Turnover per day

Automated trading using mathematical models, AI/ML, not betting on just rumors.

(Execute by one of our partners)

50M

Orders executed/day

100MM+ Tick By Tick data points analyzed to optimize value creation.

(Execute by one of our partners)

Global Best Strategies for Ultra-Rich

Proprietary mathematical models to take advantage of market psychology and generate alpha through an algorithmic and machine-driven investing approach to public market products.

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Index Arbitrage

Index arbitrage is at the heart of machine-based trading, where computers monitor millisecond-changes and identify mispricing between the present value of the Index future and the sum of the present values of all the individual components of the index.

  • Expected Return: Fixed deposit ++
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Statistical arbitrage

It is a group of trading strategies employing large, diverse portfolios that are traded on a very short-term basis. This type of trading strategy assigns stocks a desirability ranking and then constructs a portfolio that has minimized risk.

  • Expected Return: Uncorrelated returns vis-à-vis equity markets.
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Directional strategies

Trading model allows you to outperform benchmark equity index while maintaining low volatility through a quantitative strategy.

  • Expected Return: Index return ++
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Hybrid Models

Systematically generate capital appreciation by investing in a portfolio of equity or equity-linked securities while the secondary objective is to generate income through investments in debt and money market instruments, managing risk through active asset allocation.

  • Expected Return: Crisil Hybrid Index ++
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How it works?

Quant fund makes investment decisions based on the use of advanced quantitative analysis. Managers utilize algorithms and custom-built computer models to pick their investments.

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