Siddharth Modi

Python Developer | Flask | SQL | Financial Data

Role: Python Developer at Brightstar Research
Location: New Delhi, DL, IN
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

Experience

Python Developer
Brightstar Research
Mar 2024 — Present · Gurugram, IN
Developed a real-time stock data web app using Flask and WebSocket for seamless live data updates, supporting 100+ concurrent users and reducing latency by 40%.• Integrated Redis for fast data retrieval, improving performance by 2x.• Designed a user-friendly interface with advanced sorting/filtering, boosting user engagement by 30%.• Build automated trading algorithms, processing hundreds of trades daily.• Conducted backtesting and created real-time dashboards in Tableau, improving decision-making by 20%.

Education

Delhi University
Bachelor's degree
2017 — 2020
Institute and Faculty of Actuaries
Financial Mathematics
iNeuron
Data Science, Engineering

Contact information

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Current company

Brightstar Research

Capital Markets · 12 employees · Founded 2019 · Gurgaon, Haryana, India

Brightstar Research is a leading Research firm in the domain of algorithmic trading. We specialize in research, designing and execution of mid and High Frequency Trading strategies. In association with Quantx Technology our own technology vertical, We provide State of Art Ultra Low Latency In-House Technology Stack which can be leveraged for Mid Frequency to Ultra High Frequency Models, and provide perfect platform for our in house trading operations. We also as a research domain firm specialize in providing comprehensive research on data for Algo trading Operations and different Strategies etc. to proprietary trading floors, hedge funds, and broking houses hence generating revenue through our innovative research ideas. Our expertise lies in building and optimizing algorithmic trading operations that enable to achieve substantial revenue growth. By leveraging in advanced research domain with great experienced knowledge in financial market, low-latency trading systems, and strategic market insights, we empower to attain superior trading performance and operational excellence, thereby driving our company\'s success. We specialize in researching and developing new alphas and enhancing existing ones for trading strategies, ensuring superior performance in dynamic market conditions. Our sophisticated algorithms are designed to capitalize on high-frequency and medium-frequency trading market inefficiencies and trends with optimal latency. We provide consistent and reliable performance across various asset classes and trading strategies, particularly in futures and options markets. Our approach involves integrating mathematical and computational research to find market inefficiencies and discover new trading prospects. Our robust algorithms and trading systems are engineered to provide consistent profitability and minimize risk in the market. Located in Gurugram, India, we offer a unique blend of theoretical and practical insights in stock market trading.

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Experience

Python Developer

Education

Delhi University

Institute and Faculty of Actuaries

iNeuron

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