The rapid advancements in Large Language Models (LLMs) have revolutionized various domains, yet finance remains underserved with specialized open-source models. The PIXIU project seeks to address t...
Jensen’s inequality forms a cornerstone of probability theory and convex analysis, establishing a relationship between the expected value of a function and the function of an expected value. The ma...
When developing machine learning (ML) models for algorithmic trading, one of the key challenges is determining the trade-off between accuracy and precision. Accuracy measures the overall correctnes...
In the world of finance, exotic options offer unique payoff structures that are highly sensitive to the path taken by the underlying asset. Traditional pricing models like Black-Scholes are not suf...
QuantConnect is an innovative, browser-based platform designed for algorithmic trading. Whether you’re a seasoned quant or just beginning, QuantConnect offers a robust environment to develop, test,...
As a data scientist and quant developer, I constantly juggle between various libraries and frameworks. Scikit-learn, Pandas, and NumPy are the pillars of my work, whether I’m building predictive mo...
In algorithmic trading, the accuracy of backtesting can make or break a strategy. The ability to simulate how your trading algorithm would have performed historically is crucial for refining and op...