Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.
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Updated
May 3, 2026 - Python
Stock scanner with multiple fundamental and technical criteria. Features 80+ filters, AI chatbot (Groq/DeepSeek/Gemini), theme discovery, and StockBee-style breadth indicators.
List of companies listed on the Nasdaq Stock Exchange, including their logos and symbols.
All NYSE & NASDAQ stock ticker symbols.
This project aims to predict future values on the stock market for a stock using projections with facebook prophet.
Get the list of all the stokcs, etf, indices, mutual funds, Exchange-Traded Notes (ETN) listed on the New York Stock Exchange (NYSE), Nasdaq and American Stock Exchange (AMEX) including delisted companies.
List of companies listed on the New York Stock Exchange (NYSE), including their logos and symbols. The source of the data is from the NYSE website. The data columns are "symbol", "name", "logoUrl".
A simple bot to which you can ask the price values of NYSE stocks or some cryptocurrencies
Platform for NYSE & NASDAQ stocks to display RSI, P/E, P/B, EPS, CAP and candlestick chart with fibonacci + 6 latest news. This also calculates sector averages for RSI, P/E and P/B for displaying BUY | HOLD | SELL images on tables.
List of companies listed on the Istanbul Stock Exchange (BIST), including their logos and symbols.
Plasma 6 (KDE) applet for displaying real-time stock market prices from the USA on the toolbar.
A lot of market data for USA stocks +1292 columns of Indicators MN1 W1 D1
Random stock picker for Indian and US stock exchanges, NSE, BSE, NASDAQ, NYSE
Open, High, Low, Close, Volume prices USA stocks MN1 W1 D1 H4 H1 M30 M15 M10 M5
Analyzing real-life data from the New York Stock Exchange (NYSE) to benchmark and compare financial performance of companies listed under the "Soft Drinks" GCIS sub industry. See README.md file for full project description.
This project demonstrates real-world big data engineering practices using Apache Spark (PySpark). It covers the entire data pipeline — from ingestion, transformation, and validation to exploration and reporting. Ideal for data engineers and analysts looking to gain practical experience with Spark, Airflow, and data lake design.
An algorithmic trading platform combining reinforcement learning, probabilistic time-series forecasting, and paper trading with real-time market data.
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