499 Open source projects that are alternatives of or similar to value-investing-studies

​The Economic Simulation Library provides an extensive collection of tools to develop, test, analyse and calibrate economic and financial agent-based models. The library is designed to take advantage of different computer architectures. In order to facilitate rapid iteration during model development the library can use parallel computation. Econ…

Python package that reads the historical quote files from BM&FBovespa (Brazillian Stock Exchange)

📊 My contributions to the #TidyTuesday challenge

Autonomous stocks trading script

Python interface to IEX and IEX cloud APIs

🦄 Scientific journal and sci-fi themed color palettes for ggplot2

A C++ stock market algorithmic trading bot

Intrinio Java SDK for Real-Time Stock Prices

various dashing dashboard jobs

Creates Page Layout Visualizations in R 📄📄📄

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 the results of the model using Weka

Investing library and command-line interface inspired by the Bogleheads philosophy

Network Analysis for Financial Markets

📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

Data Science at the Command Line

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

bayesplot R package for plotting Bayesian models

Sina stock options crawler with CSV output 新浪上证ETF期权数据爬虫

Quantitative Economics with Python

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

R package for geographical faceting with ggplot2

The IEX API provides any individual or academic, public or private institution looking to develop applications that require stock market data to access near real-time quote and trade data for all stocks trading on IEX.

Quantitative analysis, strategies and backtests

Journal-style regression tables

A set of color palettes I like (or can at least tolerate)

Fetch stock quote data from Yahoo Finance

A generated list of repos containing themes/styles for ggplot2

Venn Diagram by ggplot2, with really easy-to-use API.

Given a job title and job description, the algorithm assigns a standard occupational classification (SOC) code to the job.

Use flags as fills for ggplot2 maps. (WIP)

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Jared Kushner and his partners used a program meant for job-starved areas to build a luxury skyscraper

Technical Analysis Library for Golang

30 tipos de gráficos hechos con R, con datos y código reproducible.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Demo project of creating an interactive analytical tool for stock market using CAPM.

A brief description on how to use Financial Modeling Prep Api

Materials for R Workshops

This package provides colour palettes derived from birds native to New Zealand

Stock market tracker for hackers.

List of resources for learning R

Use AI to generate a optimized stock portfolio

Agent-based computational Finance

📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.

Visualize microbiome data with black magic ggtree

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

My contributions to the #30DayMapChallenge 2019, a daily challenge focusing on spatial visualizations happening throughout November.

A Julia package to solve DSGE models

📈 Visualizations for DataViz Teaching

High level linear algebra library for Dlang

Lecture source for "Quantitative Economics with Julia"

Crypto real-time trading engine

An Insomnia Workspace for Alpaca API

Alpaca algo stock trading bot

Unsupervised Learning to Market Behavior Forecasting Example

🌍 Parliament diagrams and more for ggplot2