This project is in progress and was inspired by my own experience as an investor. Analyzing stocks often takes a lot of time, comparing multiple stocks, reviewing historical prices, following news, applying various valuation models, and performing quantitative analysis.
The goal of the project is to create a comprehensive platform for financial analysis tools, covering both fundamental and advanced analyses, all in one place for ease of use. The platform will feature an intuitive interface that allows users to access the tools quickly and efficiently.
Designed and implemented a web application using Next.js for the frontend, with two backend services developed in TypeScript and Python.
Basic Mode :
Advance Mode :
Monte Carlo service : I use it for “prediction” by analyzing historical data to calculate the probabilities of stock price movements in 10 different scenarios, estimating how many ways the price could increase and how many ways it could decrease, along with their likelihoods.
AI Finance : Use it to ask anything about finance. It will provide three topics related to your question.
Next Day Direction Signal : I use this model to predict the next-day direction of stock prices (up or down), based on the latest data from yfinance. The output is a probability representing the tendency for the price to go up. The model is Logistic Regression, trained on five years of historical data using several technical indicator features such as RSI and moving averages.