552 Open source projects that are alternatives of or similar to stock-prices

Return the last element in an array. Faster than `.slice`

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Mortgage Processing App using Hyperledger Fabric Blockchain. Uses channels for privacy and access, and restricts read/write previleges through endorsement policies

Python and Cython scripts of machine learning, econometrics and statistical tools designed for finance.

Python module to get stock data from Yahoo! Finance

knut is an efficient plain text accounting tool with support for multiple currencies and valuation.

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

Python interface to IEX and IEX cloud APIs

Determine optimal rebalancing of a passive stock portfolio.

All things #DeFi - trustless and transparent financial products built on top of the blockchain.

Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history

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股市技術分析小工具

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💸💸 Curated list of investment & finance related resources

Base de datos de departamentos, provincias y distritos del Perú (UBIGEO) actualizada al 2019 (El INEI ha actualizado hasta el 2016). SQL, JSON, XML, CSV, Arreglos PHP, YAML.

El objetivo de este repositorio es brindar un apoyo a la comunidad interesada en mejorar sus técnicas en el lenguaje de programación R o emprenderlo desde un punto de vista muy aplicado. Un repositorio con códigos de R para aplicaciones actuariales: probabilidad, estadística, riesgo y finanzas.

A curated list of open finance and open banking resources

Python CLI tool for plotting options price history. Powered by Tradier's Sandbox API.

Easy-to-use, lightweight and self-hosted solution to track your finances

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Fortran OO implementation of a generic container using an unlimited polymorphic class. Implementation of a resizable container array and a double linked list.

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.

I wrote a Master's in Finance thesis on Monte Carlo simulation of the Multifractal Model of Asset Returns. This is a model developed in the late 1990's by Benoît Mandelbrot and his two students, Laurent Calvet and Adlai Fisher. I had never programmed before and this was my first big coding project — so sorry if the code sucks! I did what I could :)

Modern crypto portfolio & market explorer. Built with @Flutter

A python package that brings together financial and economic data.

Get a grip on your finances.

The source code for the original version of Moolah

Quantitative Financial Modelling Framework

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Python SDK for IEX Cloud

This depository uses SEC EDGAR data in Schedule 13D and Schedule 13G data to find all positions above 5% in all US stocks between 1994 and 2018.

This is a database of 180.000+ symbols containing Equities, ETFs, Funds, Indices, Futures, Options, Currencies, Cryptocurrencies and Money Markets.

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

⚠️ Deprecrated in favor of https://github.com/piquette/finance-go

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Java开源量化交易开发框架

#66DaysOfData challenge in Financial Machine Learning and NLP

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

Data Structures and algorithms

Introducing neural networks to predict stock prices

Pass anything as key without re-renders

DEUS app front-end

DimeShift desktop application

Awesome Beancount Resources

PennySeed is an alternative crowdfunding platform where the funding goal is divided by the number of pledgers

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A GitHub repo for Quant Finance resources

Array Validator (regular expressions for arrays, sort of)

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

Download SEC filings from the EDGAR database using Python