FinThink provides a suite of machine learning algorithms that forecast asset prices, analyze market sentiment, and manage investment risk across stocks, cryptocurrencies, and NFTs. By offering accessible financial research and AI-driven tools for $49.95 a month, it enables retail investors to make informed, data-driven investment decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Retail investors often lack access to the sophisticated tools and research available to institutional traders, creating an uneven playing field. The high cost of financial data and analytical platforms further restricts access to informed investment decisions for individual investors.
Solution
FinThink provides a suite of AI-driven tools and financial research designed to empower retail investors in the stock, crypto, and NFT markets. The platform offers AI-powered forecasting, market sentiment analysis, and risk management tools, previously only accessible to Wall Street firms, at an affordable price. By aggregating market data, applying deep learning models, and offering transparent risk assessments, FinThink enables individual investors to make data-driven decisions and manage their portfolios more effectively. The service aims to level the playing field by democratizing access to advanced financial technology.
Target Audience
FinThink primarily targets retail investors interested in stocks, cryptocurrencies, and NFTs who seek data-driven insights and advanced analytical tools to improve their investment strategies.
Features
- Deep Learning Forecaster: Predicts stock prices 30 days ahead using an LSTM recurrent neural network.
- Market Sentiment Decoder: Analyzes thousands of articles to gauge market sentiment using natural language processing (NLP).
- Market Interest Aggregator: Measures market momentum based on real-time trends to identify emerging investment opportunities.
- Market Risk Engine: Quantifies downside risk using statistical algorithms, including Value at Risk (VAR) and Expected Shortfall calculations.
- Research Database: Provides quarterly research reports covering 20 crypto projects, 20 NFT projects, and 30 publicly traded companies.
- Algorithmic Trading Signals: Generates entry and exit points for independent execution on users' brokerage accounts.