Simulating Heat Transfer with CUDA: From Code to Cloud Visualization
Learn how to simulate heat transfer using CUDA, compile and run your code on a Google Cloud GPU VM, and visualize the results remotely using X11 forwarding.
QuantFin
Launch a Google Cloud GPU VM and Run CUDA in Under 10 Minutes
Modern GPU computing shouldn’t demand a complex local setup or expensive hardware. With Google Cloud, you can spin up an NVIDIA Tesla T4 GPU in minutes, connect straight from VS Code, and run your ...
Bridging the Gap in Financial AI How PIXIU is Pushing LLMs Forward
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...
Visual Intuition Behind Jensen Inquality
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...
Accuracy vs Precision in Algorithmic Trading Using Machine Learning Models
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-Depth Guide to Simulating Paths with the Euler-Maruyama Scheme for Exotic Options Pricing
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...
Mastering QuantConnect’s Algorithm Framework for Efficient Trading Strategy Development
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,...
How devdocs.io Revolutionized My Workflow in Data Science and Quantitative Finance
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...
Enhancing Algorithmic Trading Backtesting with Custom OHLC Resampling
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...