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36 search results found

modular quant framework.

A Java library for technical analysis.

Stock_analysis_for_quant ⭐ 1,483

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

Fooltrader ⭐ 1,011

quant framework for stock

Stock.indicators ⭐ 830

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.

Gekko Strategies ⭐ 829

Strategies to Gekko trading bot with backtests results and some useful tools.

Technical Analysis Library for Golang

Autotrader ⭐ 692

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Technical analysis library for Rust language

Turingtrader ⭐ 369

The Open-Source Backtesting Engine/ Trading Simulator by Bertram Solutions.

Finvizfinance ⭐ 355

Finviz analysis python library.

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Bitcoin Chart Cli ⭐ 289

Bitcoin chart for the terminal as command line util

Simplestockanalysispython ⭐ 269

Teaches step-by-step to analysis stock data in python.

Ooplesfinance.stockindicators ⭐ 155

Largest C# stock indicator library with over 750 to choose from and easiest to use with abilities such as making an indicator out of any other indicator or using any moving average with any indicator.

Stock Analysis ⭐ 154

Simple to use interfaces for basic technical analysis of stocks.

Stock.indicators.python ⭐ 127

Stock Indicators for Python. Maintained by @LeeDongGeon1996

Renegade Way ⭐ 106

Option Trading Application

Tradingview Screener ⭐ 56

A package that lets you create TradingView screeners in Python!

Technical Analysis ⭐ 56

A Ruby library for performing technical analysis on stock prices and other data sets.

Openstock ⭐ 44

Open Stock is a Technical Analysis and Offline Trading project licensed under GNU GPLv3 written in Java

Stock Market Sentiment Analysis ⭐ 38

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe th

Technical Indicators ⭐ 30

Finance package written in Golang, mainly with TA indicators.

Pricegenerator ⭐ 28

PriceGenerator is the platform for generating prices similar to real stock prices, but you can control the statistics of their distribution. Use PriceGenerator to generate synthetic data to test your trading strategy.

Polygonsdk ⭐ 26

POLYGON.IO TOOL-KIT for real time market analysis

Twelvedata ⭐ 20

A npm package for accessing Twelve Data's stock market APIs

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

Fcore Is an AI Framework for Financial Markets Analysis (Active Development).

Python library for performing computed technical analysis on stock data statistics. Inspired by TA-Lib.

Stock_movement_prediction ⭐ 16

Predictive Model for Future Stock Price Movement using TensorFlow and Keras

Charting tool for financial data

Pantulipy ⭐ 14

Pandas over Tulipy library

Algorithmic Market Prediction ⭐ 13

Implementation of Algorthmic Prediction of Candle Patterns

CCTALib : TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data.【Support macOSX and iOS】.

Computational_investing ⭐ 11

modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders

Simple Stock Predictor Xgboost Knn ⭐ 11

Stock prediction using xgboost and knn classification done in R

The Turbine ⭐ 10

The turbine is a set of server-side components that perform automated technical analysis on stocks.

A Python 3 "ccxt" wrapper over "Pandas" lib.

Stockmarketprediction ⭐ 8

This is a webapp which predicts stock prices for Indian stock markets(can be used for other stock markets as well) using both fundamental and technical analysis

Stock analysis framework using pandas and ta-lib

Techfactor ⭐ 7

Calculate technical factors for stocks in an efficient, maintainable and correct way

Hedge Fund Stock Market Analysis ⭐ 7

Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat

Technical indicators

A collection of technical indicators.

Securitiesanalysistools ⭐ 6

Technical analysis tools app for analyzing securities (funds, stocks, bonds, equities)

Pipeline for using technical analysis to make automated trades in the stock or foreign exchange market.

a python GUI application that performs technical analysis and forecasting of stock prices using linear regression

Flaskstockly ⭐ 6

A comprehensive Flask web app for gathering, analyzing & visualizing stock info using AlphaVantage API, yfinance library & SQLite. Data is visualized with Pandas & Plotly. It also uses web scraping to provide trend information and has multiple routes for stock info, graph creation, & updating data.

Hunting whales on OMXS

Dash Stock Visualizations ⭐ 5

Dash Application for Stock Charting and Technical Analysis

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