Indicator is a Golang module providing various stock technical analysis indicators for trading.
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Updated
Jun 2, 2024 - Go
Indicator is a Golang module providing various stock technical analysis indicators for trading.
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.
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
A system for visualizing interesting stocks. Has powerful comparison capabilities and works seamlessly with your jupyter notebook. Written in QT with matplotlib.
A back-tester for testing stock trading strategies on historical data
LSTM-ARIMA with Attention and Multiplicative Decomposition for Sophisticated Stock Forecasting.
IndicatorTS - Stock technical indicators and strategies in TypeScript for browser and server programs.
Stock Market Simulator buy or sell stocks with real time data with an intreactive and customizable user dashboard.
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.
Econometric Analysis of Stocks
Stock Indicators for Python. Maintained by @LeeDongGeon1996
Learning platform for stock trading with Expert Analysis, and Interactive Learning Resources to Help You Trade with Confidence!
💱 Stock Suggesting Engine 📶
A collections of Tradingview indicators and strategies built in Pinescript V5
This project is for EDA related to stock trading.
Stock screener result management portal
A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.
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