Found 53 repositories(showing 30)
ricketter1984
AI-powered market intelligence system for traders — combines real-time news, strategy analysis, macro awareness, and automated reporting using Claude Flow, GPT, and financial APIs.
Things i have learned in the workshop.
gregorizeidler
IntelliScan BR: AI-powered OSINT system for Brazilian financial crime intelligence. 5-agent pipeline with real-time news scraping, GPT-4 entity extraction, risk analysis & professional reports. Docker-ready.
Aryan1patel
StreamPulse is a real-time financial news intelligence system that ingests global news, filters trending events, extracts related information, analyzes market impact, and exposes everything through scalable APIs. Built using Kafka (Redpanda), FastAPI, Postgres, Redis, Docker, spaCy, KeyBERT, and ML-driven pipelines.
backnumber19
LangGraph-powered multi-agent system for industry analysis. Features specialized AI agents (research, financial, competitor intelligence) using AWS Bedrock (Claude 3 Haiku) and external APIs (arXiv, Yahoo Finance, News API). Synthesizes insights into executive reports with actionable recommendations.
Sakshi983-cmd
No description available
Khushi-c-sharma
Transform financial news chaos into clarity. Multi-agent system that reads thousands of articles, eliminates duplicates, predicts stock impact, and delivers analyst-grade insights in seconds.
An AI-Powered Financial News Intelligence System that processes real-time news, eliminates redundancy, extracts market entities, and provides traders with precise, context-aware query responses via a LangGraph architecture.
Kumaran-Elumalai
AI-powered financial news intelligence system built with LangGraph multi-agent pipelines, vector embeddings, strict impact ranking, and local LLMs for extractive reasoning, enabling high-precision financial news analysis.
kaaranRaahulS
An AI-powered intelligence system that processes financial news and generates structured macro analysis for XAUUSD (Gold) traders.
SagarLokare2022
The objective is to develop a production-grade Financial News Intelligence System that leverages Large Language Models (LLMs) and multimodal AI to automate the end-to-end ingestion, analysis, and classification of financial news and market data.
A fully automated system that transforms unstructured financial news into structured, high‑value intelligence, enabling analysts to make faster and more informed trading decisions.
thanan2002
Developed a multi-agent AI system using Phidata and Groq to deliver real-time stock analysis, financial news, and autonomous web intelligence via a live dashboard.
MinoshPerera
A DeepSeek-powered AI agent for financial intelligence. Automates market research, news analysis, and fundamental data retrieval using Yahoo Finance and DuckDuckGo within a multi-agent system.
Aayushiii25
"Built PulseIQ, an unsupervised financial news intelligence system; ingested 1,200+ articles via NewsAPI into SQLite, embedded with thenlper/gte-small, reduced dimensions via PCA + UMAP, and clustered using HDBSCAN — discovering 14 coherent financial themes with 78% cluster coherence (avg intra-cluster cosine similarity) vs 41% for K-Means baseline
Tradewindfinance2
Tradewind Finance specializes in cross-border solutions for companies looking to make their mark in the global trade market. From finding the right suppliers to merchandising product, different kinds of financing can free up the working capital companies need to continue growing and expanding to meet the demands of a competitive world. As one of today’s top supply chain finance companies, Tradewind provides custom financial solutions for businesses operating in many different industries around the world. Supply Chain Financing Supply chain financing is one method of creating liquidity and generating working capital for a company. This method provides receivables financing and funding to suppliers based on the creditworthiness and overall financial strength of the buying party. It helps minimize financial risk among suppliers, manufacturers, and others. Global supply chain finance programs can work with non-traditional financing options to support payables, receivables, and inventory. Additionally, using purchase order funding, inventory lending, letters of credit, and structured guarantees allows a lending company to meet the financial needs of all members of the business agreement. The Benefits of Supply Chain Financing Benefits of supply chain financing include: Simplification of paperwork, even when dealing with multiple suppliers Providing funding to foreign suppliers based on the buyer’s creditworthiness Suppliers receive early payments at lower costs Suppliers receive additional cash flow, which increases their volume of production and ensures a consistent supply of goods Extended payment terms can be negotiated with suppliers Trade debt is taken off suppliers’ balance sheets, which strengthens their financial position Suppliers benefit from quick funding and high advance payment rates Smaller supply companies are viable partners, increasing a buyer's available supply range Access to cost-effective markets globally This kind of financing works to keep the money flowing between suppliers and buyers, so there is a consistent stream of product that can be used to create more revenue, more business, and increased cooperation between a company and its suppliers. Companies that may be working with suppliers who are in a different country can face unique challenges regarding currency conversions and customs processes. Working with a trade finance firm allows a company to simplify things and focus on running their business by having the finance company as their point of contact to deal with these issues. Technology and Supply Chain Financing New technology is providing better ways of organizing finances and minimizing the financial risk taken on by different entities involved in these supply chain financing agreements. An increasing number of trade finance companies are utilizing the expertise of financial technology companies to track changes in the market and organize the complicated logistics surrounding international supply agreements. Data analytics and big data are being used by some companies to spot gaps in international trade markets. These gaps in production could lead to new products or better methods of spreading resources from suppliers around the world. Data analytics can also be used to track shipments, analyze the creditworthiness of buyers, create risk-free money lending agreements, analyze the efficiency of supply chain trade, and much more. Banks and other lenders can also leverage the data available to them. Lenders have data that shows the behavior of companies when it comes to funding their suppliers as well as their payments and receivables behavior. By taking this data, companies could see where they are losing money in the process and hopefully rework their methods of doing business to shore up these weak points where money is being lost. Additionally, financing firms can use data analytics to analyze the financial strength of companies to create an effective financial agreement with their suppliers. Analyzing a complex set of financial information via computer could generate different solutions for working with potential risks than a human may have been able to find themselves. Technologies such as artificial intelligence would further advances in the world of supply chain finance. These technological learning systems could assess data on a global level to provide insight into the bigger picture of global trade, as well as individually find where a company could benefit from different methods of financing and recommend how to go about the financing process. Tradewind Finance Tradewind Finance is a leading international trade finance company working around the world with clients in a variety of industries. They specialize in creating working capital through supply chain financing and export factoring for companies small and large. Tradewind Finance is a leading expert in global trade solutions. To know more: https://www.tradewindfinance.com/news-resources/how-technology-further-advances-supply-chain-finance
SuperDataScience-Community-Projects
An AI-driven financial research system that automates market intelligence using agentic AI workflows, web & news scraping, quantitative analysis, and automated report generation
JagadeeshPadam
No description available
seemran03
This project is a complete AI-driven workflow that processes, deduplicates, and analyzes financial news using a LangGraph multi-agent architecture. It extracts actionable insights for traders and investors by combining NLP, embeddings, and semantic search.
Alok-Kumar2005
No description available
No description available
rachitnbharadwaj
Build an intelligent multi-agent system that processes real-time financial news, eliminates redundancy, extracts market entities, and provides context-aware query responses for traders and investors.
No description available
Manitejabhumaraju
No description available
Intelligent multi-agent system that processes real-time financial news, eliminates redundancy, extracts market entities, and provides context-aware query responses for traders and investors.
Rohini-Koli9
An intelligent multi-agent system that processes real-time financial news, eliminates redundancy, extracts market entities, and provides context-aware query responses for traders and investors.
rr83019
AI-Powered Financial News Intelligence System
csonwuka
AI-powered financial news intelligence system
Techpro7
AI Powered Financial News Intelligence system
No description available