103 Open Source Financial Analysis Software Projects

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

DataFrame Server for Financial Timeseries Data

Bringing financial analysis to the tidyverse

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]

Plotly for Rust

A pure Go port of TA-Lib (http://ta-lib.org)

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

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

Analysis and visualisation of the cryptocurrency market

Python interface to IEX and IEX cloud APIs

A program for financial portfolio management, analysis and optimisation.

Technical analysis library for Rust language

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

ESC Team's credit scorecard tools.

Researches for Natural Language Processing for Financial Domain

Pipeline Extension for Live Trading

Guia de ejemplos didácticos en python temática finanzas bolsa trading argentina usa

event-driven backtesting framework written in golang

Python implementation of Benford's Law tests.

A collection of methods for solving Finance/Accounting equations, implemented in C#.

R Shiny app to compare the relative performance of cryptos and equities.

Twelve Data Python Client - Financial data API & WebSocket

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

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

A framework for systemic risk valuation and analysis.

Financial Derivatives Calculator with 168+ Models (Options Calculator)

A C++ stock market algorithmic trading bot

Twitter Bot to follow financial trends in publicly traded companies

Financial data analytics with Python

A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)

Technical indicators to run technical analysis with JavaScript / TypeScript. 📈

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Amazon SageMaker Solution for explaining credit decisions.

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

Mathematical modeling for finantial time series data

A Golang wrapper for OANDAs v20 API

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

Unofficial C++ Lib for the IEXtrading API

💹 Simple HTML Snippets to create Tickers / Charts of Cryptocurrencies with the TradingView API 💹

Stock data collection and analysis

Simple C++ code for simple tasks

(Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"

Personal Financial Forecasting Model

Attention-based LSTM model with the Aspect information to solve financial opinion mining problem (WWW 2018 shared task1)

Crawling, Parsing, Mongo Insertion of financial data for value investing

The Javascript SDK for the UniBit API

R code for finance

market sentiment analysis tool

A framework for historical volatility estimation and analysis.

📺 A Dashboard with the price movements of the selected Cryptocurrencies 💹

High-Performance Computing. Fundamental Analysis Stock Screener and Ranker

Yahoo Finance Python Interface

ContractManager is a contract management software for the Jameica platform.

iexcloud api wrapper

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

A framework for detecting misreported returns in hedge funds.

Quantitative analysis, strategies and backtests

Automated Exploration Data Analysis on a financial dataset

💹 Hackable charting lib for traders. You can draw literally ANYTHING on top of candlestick charts. [Not Maintained]

NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.

A GitHub repo for Quant Finance resources

Ledger reporting scripts

Charting tool for financial data

Finviz analysis python library.

Stock Quotes and Charts for the Terminal

Ops.Syncretism is an open source options search engine

#nontina, #paperhands, #algoscalpz, #pwnzebotz

python requests + Django+ nodejs koa+ mysql to crawl eastmoney fund and stock data,for data analysis and visualiaztion .

The idiomatic rust implementation of the QuantLib C++ quantitative finance library

A full Python (with Pandas and NumPy) course on Financial Analysis.

Learn backtesting with Python and Pandas. A full course with FREE ebook.

Official Python wrapper for the Quantel Finance API

Android application made for stock analysis

Javascript interface to IEX and IEX cloud APIs

Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.

😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental hare Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉

A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks. Investments are subject to market risks, The AUTHOR HOLDS NO RESPONSIBILITY for any financial loss.

Machine Learning techniques that help analyse Forex market.

Rust-powered collection of financial functions for Python.

A set of tools for dealing with SEC EDGAR corporate filings

台灣證券 - 個股技術分析評分框架

A framework for estimating Basel IV capital requirements.

Using very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.

SEC EDGAR Parser based on Python 3

Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.

This repository contains a python file with is used to calculate charting indicators.

Export 15 years P&L and BS data from moneycontrol. Correlation analysis of various heads. Mean & Std. Graphs of YoY changes and projecting 10yr financials in python and exporting the data to Excel. Makes it easy for preparing Financial Models for Indian companies.

📈 UFund，智能基金理财助理帮你健康理财决策，提高理财收益。UFund, an Alipay Smart Fund Assistant, helps you make healthy financial decisions and increase financial returns!

🏆 Purple 📈: Deutsche Bank trading anomaly detector @ the University of Warwick

Sentiment analysis of Reddit comments to predict bitcoin price movement

EDA for Prosper Loan data

Zacks.com API

A full course with Python on financial risk and return. Includes video content in 8 lessons with JuPyter Notebooks.

TectonicDB client library for Elixir to read/write L2 order book data

Time series and Financial analysis in python

applications for risk management through computational portfolio construction methods

We use advanced machine learning techniques to build models that correlate planet cycles and aspects (cosmic energy) with markets price action to forecast the daily trend direction. Join our discussions at Telegram: