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Download all companies periodic reports, filings and forms from EDGAR database.
A real world full-stack application using LlamaIndex
A Python package for aggregating and normalizing historical data from popular and free financial APIs.
Democratizing Function Calling Capabilities for Open-Source Language Models
Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Tutorial on training, evaluating LLM, as well as utilizing RAG, Agent, Chain to build entertaining applications with LLMs.分享如何训练、评估LLMs，如何基于RAG、Agent、Chain构建有趣的LLMs应用。
Real-time financial market data API, real-time forex data API, real-time stock data API, real-time cryptocurrency data API, real-time commodity data API service,real-time tick data,tick-by-tick quo…
CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Build AI Assistants with memory, knowledge and tools.
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
This repository contains related work, benchmarks and datasets for the paper "Large Language Models in Finance (FinLLMs)", currently under review.
Fetching and analyzing analyst recommenations on stocks
A resource to help you pass system design interview and become good at work 👇
Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2402.03659
This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive in to find the datasets, code samples, and more!
FREE Azure Interview Questions for Beginners
A Comprehensive Collection of Interview Questions for Cloud Engineers.
In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.