Hello and welcome to this article where I will talk about the modern approach to building production-grade trading software with python programming language. Python is widely used for its simplicity and clean, readable code. More than one million software developers can understand and support the co...
Combining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT’s robust NLP capabilities handle the intricacies of human-like text understanding and generation. This book is...
AI agents can range from simple systems, like chatbots or virtual assistants, to more complex systems like autonomous vehicles, robots, or financial trading algorithms. In general, the term “agent” emphasizes the idea of autonomy—the agent operates independently, often with the ability to learn...
– RevitPythonDocs for Dynamo and pyRevit – New Revit SDK sample browser and launcher – Purge add-in with rave reviews – SpeedCad tools OptionsBar and StatusBar – Managing multiple Revit API versions – DesignScript, Rhino, and other geometry libraries – Trading glass beads for AI IP.....
In the next post, I will explore an alternative approach to intersections using a different sketching algorithm that is said to provide better results. I will also discuss results of my own tests comparing the accuracy of the two algorithms. ...
Not. In the end, I realized that the issue I had with my back-test launcher was something I wanted to work out. I needed it to work to use genetic algorithms to find the best strategy, and I needed to use a faster language where threads were easier to handle like Golang. ...
Fixed a bug preventing use of streaming_node and opencl_node with Clang; inspired by a contribution from Francisco Facioni. Fixed this_task_arena::isolate() function to work correctly with parallel_invoke and parallel_do algorithms. Fixed a memory leak in composite_node. Fixed an assertion ...
Moreover, it offers ops for implementing continuous control algorithms such as DPG as well as ops for learning distributional value functions. Finally, TRFL also comes with an implementation of the auxiliary pseudo-reward functions used by UNREAL. This improves data efficiency i...
Features algorithms for "Causal Graph Construction" and "Causal Feature Selection," extending the gplearn library to support "Feature Derivation" for time series data. Integrates open-source strategy development components from the Quantopian platform, including tools like empyrical, alphalens, and pyfoli...
Smart contracts require gas fees to execute so users would pay for the execution time of those trading algorithms Expose relevant primitives similar to theChain extension primitiveof the Contracts pallet What types of smart contracts may be deployed on Substrate runtime?