Employing our services in your project is akin to bringing on a team of PhD researchers and expert developers.
Algorithmic trading
Harness cutting-edge algorithms to execute trades with precision and speed. Our advanced systems are designed to capitalize on market efficiencies and deliver superior results.
Statistical arbitrage
Explore market patterns and price differentials with our statistical arbitrage strategies. We apply quantitative methods to identify and leverage temporary pricing inefficiencies.
Fast execution
Gain a competitive edge with our rapid trade execution services. Minimize slippage and ensure your trades are made at the best possible prices, as quickly as possible.
Portfolio optimization
Optimize your investment portfolio with our tailored solutions. We use sophisticated models to maximize returns while controlling for risk, according to your specified constraints.
Utilize the potential of our expert team to enhance your solutions
Dr. Syed Qaisar Jalil
Co-Founder & Co-CEO
Dr. Syed Qaisar Jalil
Co-Founder & Co-CEO
Dr. Syed Qaisar Jalil
Co-Founder & Co-CEO
Dr. Syed Qaisar Jalil
Co-Founder & Co-CEO
20,000+
man hours of research and development
5
libraries
30+
research publications
3
frameworks
Endorsed by Leading Peactitioners
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Featured work
matif
Multi-Exchange Automated Trading and Integration Framework
A Python package simplifying cryptocurrency trading by offering a unified interface for multiple exchanges. Key features include order management, balance monitoring, orderbook operations, and versatile data download. MATIF supports trading on both mainnet and testnet, currently covering exchanges like Binance, Bitmex, Bybit, Deribit, Dydx, and OKX, with plans for expansion. Easy installation via pip, usage examples, trading operations, and unit tests ensure a seamless experience for both beginners and experienced traders.
vbot
Vectorized Backtest & Optimization Toolkit
A toolkit designed for efficient backtesting and optimization of trading signals. Leveraging NumPy for vectorized operations, VBOT offers faster backtest and optimization times than traditional methods. It supports key features such as take profit, stop loss, slippage, and customizable time intervals. With an integrated Optuna module, it optimizes hyperparameters efficiently. VBOT generates detailed ledgers, calculates performance stats, and simulates transaction costs for realistic testing.
PME
Predictive Modeling Engine
Train and optimize machine learning models including classification, regression, time-series, deep learning, and deep reinforcement learning on any financial data. Resample and predict for any symbol, adapt to any time horizon, and customize input features. Fine-tune hyperparameters, optimize strategies, and evaluate with precision using customizable durations and diverse metrics. PME is your shortcut to mastering predictive modeling in finance. With PME, transform your financial data into actionable insights.
Thank you for your interest in Neurog! Need to talk with our experts or interested in working with us? Please contact us and we will be happy to get back to you as soon as possible.