Mono-repo chock-full of tools and services to help you become a better trader and stay up to date
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Updated
Jun 12, 2024 - TypeScript
Mono-repo chock-full of tools and services to help you become a better trader and stay up to date
Indicator is a Golang module providing various stock technical analysis indicators for trading.
A system for visualizing interesting stocks. Has powerful comparison capabilities and works seamlessly with your jupyter notebook. Written in QT with matplotlib.
Mrzaizai2k Stock Assistant Bot: Your all-in-one stock analysis companion. Calculate payback time, find support/resistance, and receive market warnings.
This is a demo for use of the Skender.Stock.Indicators NuGet package. It is an Angular website with a .NET Web API for backend generation of indicators.
Investa is a full-stack stock market simulator providing real-time trading data.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
TrendSage, the stock prediction reddit tool, aims to develop a correlation between stock predictions based on the posts or comments on Reddit and the actual stock trends.
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
💱 Stock Suggesting Engine 📶
IndicatorTS - Stock technical indicators and strategies in TypeScript for browser and server programs.
Econometric Analysis of Stocks
A back-tester for testing stock trading strategies on historical data
Learning platform for stock trading with Expert Analysis, and Interactive Learning Resources to Help You Trade with Confidence!
Easily gather stock data of any company in any of your Python projects
Stock Indicators for Python. Maintained by @LeeDongGeon1996
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
This is a project on Data Analysis of Stock Exchanges of 4 companies Microsoft , Google , Amazon and IBM
LSTM-ARIMA with Attention and Multiplicative Decomposition for Sophisticated Stock Forecasting.
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