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giranntu
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Elegant reading of real-time and hottest news
a reinforcement learning pair trading based on Kim's work
SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
This repository contains the code for the O'Reilly book Reinforcement Learning for Finance.
Trade 0DTE options algorithmically using Interactive Brokers (IBKR) API.
A flexible framework powered by ComfyUI for generating personalized Nobel Prize images.
机器学习交易策略搭建研究的全套解决方案 / Building Trading Strategies with Machine Learning in Closed-Loop
This repository contains the code for a virtual try-on application built using Flask, Twilio's WhatsApp API, and Gradio's virtual try-on model. Users can send images via WhatsApp to try on garments…
Deep Q-Learning Applied to Algorithmic Trading
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
A package to work with SEC data. Incorporates datamule endpoints.
Quantopian Pairs Trading algorithm implementation.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
A realtime serving engine for Data-Intensive Generative AI Applications
Generate 3Blue1Brown style videos for teaching and visualizing any concept
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Interactive Brokers Fundamental data for humans
A Practical Guide to a Simple Data Stack.
Pairs trading using reinforcement learning (RL) agent
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
collection of text2cypher datasets, evaluations, and finetuning instructions