
Senseitrade
An application that interprets share prices quotes through social networks.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
N/A | Early VC | ||
Total Funding | 000k |
EUR | 2020 | 2021 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
% profit margin | (3117 %) | - |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Company filings or news article
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Senseitrade operates as a fintech entity focused on democratizing stock market investing for retail clients through a mobile-first platform. The company was founded by a group of Galician entrepreneurs, including CEO David Conde, an economist who transitioned from a career in private banking to establish the venture. The core idea for the business emerged from the observation that discussions and opinions on social media platforms, like Twitter, can influence market reactions and stock values.
The firm, which operates under the parent company TxStockData, developed a mobile application that analyzes web and social media messages to identify potential stock value fluctuations. This technology is designed to assist individuals new to investing by translating vast amounts of online chatter into straightforward market sentiment indicators, suggesting opportune moments to buy or sell. Initially focusing on Twitter, Senseitrade expanded its data sources to include forums like Reddit, particularly after observing significant market events influenced by such platforms. The technology, developed in collaboration with the AtlanTTic Information Technology Group at the University of Vigo, employs semantic processing and deep learning algorithms to interpret human language, reducing the need for manual data labeling.
Senseitrade offers its service through a smartphone app that aims to provide a simple and user-friendly experience for novice investors, featuring low commission fees and no minimum investment amount. The platform includes a practice account funded with $10,000 in virtual money, allowing users to simulate trades with real market prices without financial risk. Key features include alerts for relevant market changes, a 'Top Values' section highlighting the most discussed companies, and risk management tools like automated stop-loss orders. Revenue is generated from commissions on trades, and the firm also offers its data analysis to institutional clients like investment funds through its Sensei Analytics web platform. Keywords: fintech, stock market investing, retail investors, mobile trading, social media sentiment, market analysis, David Conde, TxStockData, investment platform, sentiment indicators, deep learning, natural language processing, low commission brokerage, virtual trading, financial technology, Reddit stock analysis, Twitter market analysis, Sensei Analytics, investment tools, stock alerts