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.
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Updated
Feb 7, 2021 - Python
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.
Streamlit Web App for Stock Price Prediction
This is an extension of FINAL YEAR PROJECT in which further features such as news feed, stock analysis have been added.
A minimal stocks API wrapper of yfinance.
Useful snippets of code for acquiring and analyzing stock market data.
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.
Project to forecast stock prices using the Long-Short Term Memory (LSTM) algorithm
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.
Analyst Screener for S&P500 Stocks
Developed a interactive real-time stock price viewing and analysis application for market research.
Sentiment-driven stock market analysis using Yahoo Finance, Twitter, Reddit, and NLP. CMSC320 Data Science Final Project.
Predict future stock prices with this Streamlit web app. Choose a company, set the forecast period, and visualize historical data and forecasted trends. Powered by machine learning with the Prophet library. Try it now!
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