bandl is an open-source library, provides APIs for equity stocks, derivatives, and cryptocurrencies. APIs for NSE EQ/FNO data, Nasdaq, Samco, 5Paisa, AngelBroking, Binance, and Coinbase are available.

tessa – simple, hassle-free access to price information of financial assets 📉🤓📈

Financial Dataset Generator

A web app to fetch and visualize stock data of many companies using yfinance api and chart.js. It can also predict future prices of many stocks.

Constructed a dashboard with FastAPI that extracts data from the yfinance API to a SQLAlchemy database.

Application to finance

Scan every stock listed on the Nasdaq to find those with daily inside bars for trading,

A machine learning project that uses insider trade data to develop a successful share-trading strategy.

Analysis of market trend using Deep Learning is project that forecasts stock prices using historical data and ML models. Leveraging data collection, feature engineering, and model training. Primarily designed for the Indian stock market, it is adaptable for international markets, providing valuable insights for investors and analysts.

Streamlit Web App for Stock Price Prediction

A minimal stocks API wrapper of yfinance.

This is an extension of FINAL YEAR PROJECT in which further features such as news feed, stock analysis have been added.

Useful snippets of code for acquiring and analyzing stock market data.

Analyst Screener for S&P500 Stocks

In today's financial market,news sentiment plays a crucial role in shaping investor behavior and influencing stock prices. By analyzing the sentiment behind stock-related news articles, investors can gain valuable insights to make informed trading decisions.We have performed sentiment analysis of the twitter data based on a whole day to analyse it.

Investa is a full-stack stock market simulator providing real-time trading data.

Final Project: Analyzing Stock Performance and Building a Dashboard

Stock analysis involves comparing a company's current financial statement to its financial statements in previous years to give an investor a sense of whether the company is growing, stable, or deteriorating.

This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact with a mock trading environment using various algorithmic traders. The simulator includes a FIX (Financial Information eXchange) protocol handler, a market-making algorithm, and synthetic liquidity generation.