Updated Jul 6, 2024 Python JakobGlock / Generative-Art Star 306 Code Issues Pull requests A selection of generative art scripts written in Python art python images scripts cairo python3 generative-art vector-graphics generative artist algorithmic-art 2d-graphics algorithmic cornwall pycairo Update...
State-of-the-art trading platform QuantInsti’s research, back-testing and trading platform ‘Blueshift’ stands out from other back-testing and live trading platforms available in the market.It is one of the few publicly available platforms which is a comprehensive Complex Event Processing (CEP) ...
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#) quantum-computingquantalgorithmic-trading UpdatedOct 7, 2019 C# Here are my codewars kata solutions solved with C# and C++ csharpcppsolutionscompetitive-programmingcodewarsalgorithmic-tradingcodewars-solutionscodewars-training-exercisealgorithmi...
This study aims to explain the operating principles of these algorithms, examine how they work step by step, compare the time complexities of each algorithm, and determine which algorithm shows the best performance in each situation. Each algorithm is implemented in Python to compare step-by-step...
State-of-the-art Scalable, automated trading system with comprehensive APIs and optimized costs. High Quality Data Built-in curated, bias-free and fully-adjusted datasets covering multiple asset classes. Cloud Based Access critical info anytime, anywhere with our cloud-based algorithmic trading system...
The results demonstrate that DRAGON outperforms state-of-the-art handcrafted models and AutoML techniques for time series forecasting on numerous datasets. DRAGON has been implemented as a python open-source package.Julie KeislerEl-Ghazali Talbi...
Chapter 16, Word Embeddings for Earnings Calls and SEC Filings, uses neural networks to learn state-of-the-art language features in the form of word vectors that capture semantic context much better than traditional text features and represent a very promising avenue for extracting trading signals ...
Algorithmic problem solving is the art of formulating efficient methods that solve problems of a mathematical nature. The purpose of this book is to contribute to the literature of algorithmic problem solving in two ways. First of all, it tries to fill in some holes in existing books. Secondly...
Thrust allows existing applications to benefit transparently as the state-of-the-art in algorithm design and performance tuning evolve. As an example, Thrust’sradix sortusesDuane Merrill’sexpertoptimized code, resulting in the fastest single-processor sorting performance to be found anywhere (see the...
How to run state-of-the-art sampling methods to conduct approximate inference Bayesian ML applications to compute dynamic Sharpe ratios, dynamic pairs trading hedge ratios, and estimate stochastic volatility 11 Random Forests: A Long-Short Strategy for Japanese Stocks This chapter applies decision trees...