CityFALCON

1 review

We provide personalised financial news, content, and analytics for investors, traders, and anyone requiring access to relevant, high-quality financial information. We convert unstructured data into structured data using natural language processing (NLP) and then personalise it with machine learning. We also utilise voice and chatbot technologies for a handsfree experience, and further analytics are under development. In short, we are democratising access to financial content for the retail market.

Dynamic Company Sector Classification - DCSC.ai

0 reviews

Dynamic Company Sector Classification (DCSC.ai) is a modern economic classification system powered by AI and Big Data. The Relevance Score dynamically relates companies to sectors, and sectors may have multiple parents, reflecting the complexity of the modern economy. Publicly available content drives the scoring in real-time and informs the rapid inclusion of emergent sectors.

Cityfalcon

0 reviews

CityFALCON's Financial Content Analytics API is a robust tool designed to transform vast amounts of unstructured financial data into structured, actionable insights. Leveraging advanced technologies such as artificial intelligence, machine learning, and natural language processing, this API aggregates information from thousands of global sources, including news publications, regulatory filings, and investor relations documents. It delivers personalized and curated content feeds, enabling users to stay informed about market movements, major announcements, and general financial happenings. The API is accessible via web, mobile, and voice platforms, making it versatile for various applications. Key Features and Functionality: - Comprehensive Content Aggregation: Collects data from over 13,000 curated business and financial news sources, including public and private company filings, investor relations documents, and ESG-related corporate content. - Advanced Search Capabilities: Allows searches by tickers, company names, countries, sectors, industries, major business activities, macro topics, company actions, keywords, phrases, and specific news sources. - Personalized Content Delivery: Offers tailored content feeds based on user preferences, watchlists, and behavioral patterns, ensuring relevance and engagement. - Real-Time Updates: Provides up-to-the-minute financial news and analytics, enabling timely decision-making. - Natural Language Processing (NLP): Utilizes NLP to interpret and process user queries, delivering precise and contextually relevant results. - Sentiment Analysis: Evaluates the sentiment of news articles to gauge market mood and potential impacts on financial instruments. - Content Summarization: Condenses extensive articles into key bullet points, facilitating quick comprehension of essential information. Primary Value and User Solutions: The Financial Content Analytics API addresses the challenge of information overload in the financial sector by providing a streamlined, efficient means of accessing pertinent data. For individual investors, it offers personalized news feeds that enhance market awareness and inform investment decisions. Financial institutions and enterprises can integrate the API to enrich their platforms with real-time, relevant financial content, thereby increasing user engagement and satisfaction. By delivering structured data and insightful analytics, the API empowers users to make informed decisions, manage risks effectively, and capitalize on market opportunities.