Fullstack Developer

at Hedgeloop Technologies Private Limited

Fullstack Developer

Hedgeloop Technologies Private Limited

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Fullstack Developer

at Hedgeloop Technologies Private Limited

Posted by Chandrashekar Tamirisa

1 - 5 yrs

₹3L - ₹10L / yr

Hyderabad

Skills

NodeJS (Node.js)

Javascript

HTML/CSS

Meteor JS Framework

MongoDB

What we do: We are AI/ ML startup based in Hyderabad. We Specialise in Stock Market Analysis and Prediction. We are looking for a Javascript Developer who can take care the whole web development. Skills: Expertise in Javascript (Nodejs)

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About Hedgeloop Technologies Private Limited

Founded :

2015

Type :

Services

Size :

20-100

Stage :

Raised funding

About

At Hedgeloop we help our clients by asking them to literally leave their thinking to us in making investment decisions. We are a financial technology startup which builds mathematical and deep learning-based predictive models that help any investment team maximize returns in all market conditions. In the world of diverse asset classes, each with its own risk, return, behavioral characteristics and interrelationships, investing gets tougher when the aim is to build an optimal portfolio. Once an optimal portfolio is built, managing hedges with varying volatility gets even tougher. Once the hedges are managed, predicting the future value is tedious and time consuming and requires a large team. Hedgeloop's technology uses its performance prediction along with the knowledge of the volatility and the interrelationships among stocks, currency, commodities, and bonds as well as individual asset portfolios to balance risk and expected return. Our model is based on creating a loop across various asset classes which can reduce considerable risk per unit of return. We do millions of simulations to understand if trading ideas ‘in fact' work and advise our clients to implement the same in real time trading. This analysis, which typically defies even the largest team of analysts, is performed with scientific rigor transcending the pitfalls of human emotion. Bayesian, Gaussian and decision tree statistics serve as a backbone of our artificial intelligence-based predictor which is our intellectual property. It provides a flexible framework that enables automatic integration of the new data available each day in order to predict each asset class. Our team comprises of an experienced trader, an economist, a PhD in machine learning, and automation engineers from the best universities with a combined experience of over 100 years. We are mentored by academic leaders in artificial intelligence, machine learning and automation.

Chandrashekar Tamirisa

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