We built Finance, Answered! after watching the same problem repeat itself — everyday people want to invest, but the moment markets move, they get lost. The tools that exist today were never designed for them. Platforms like Bloomberg and FactSet assume you already understand finance, and that gap leads to costly mistakes for retail investors.
Our goal was to build something fundamentally different — a system where you don’t need a finance background, expensive tools, or prior investing experience. You simply ask a question in plain English, and the platform takes care of everything else.
At the core is an agentic AI system that goes beyond simple Q&A. It plans a full research workflow automatically — deciding what data to pull, which models to run, and how to combine insights from price trends, news, social signals, and fundamentals. It doesn’t just return an answer — it delivers a structured, actionable recommendation.
On top of that, the platform integrates multiple layers of intelligence:
Advanced forecasting models like TimeXer and PatchTST for price prediction A financial language model for interpreting news and sentiment Real-time technical and fundamental analysis across thousands of stocks A unified data pipeline combining market data, news, and social signals
But what truly makes the system usable is the interface. Instead of dashboards full of charts, users interact through a conversational AI. They can ask follow-up questions, run backtests or simulations, even generate and execute analysis code directly within the platform — all without needing to understand the underlying complexity.
We also introduced pre-built AI agents, where users can explore different investment perspectives — for example, interacting with agents modeled after well-known investment philosophies to guide decision-making.
The goal was never to build another tool for experts. It was to make confident, informed investing accessible — simple, intuitive, and actionable for everyone.
Built With
- api
- python
- react
- scikit-learn
- torch
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