1777 Open source projects that are alternatives of or similar to Awesome Ai In Finance

modular quant framework.

quant framework for stock

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

Stock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.

A curated list of practical financial machine learning tools and applications.

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

🤖 Predict the stock market with AI 用AI预测股票市场

51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading

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

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

playing idealized trading games with deep reinforcement learning

Courses, Articles and many more which can help beginners or professionals.

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

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Quantitative Interview Preparation Guide, updated version here ==>

Intrinio NodeJS SDK for Real-Time Stock & Crypto Prices

Technical analysis library for Rust language

OSINT tools catalog

Cryptocurrency Historical Market Data R Package

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

A javascript technical indicators written in typescript with pattern recognition right in the browser

Blockchain as intended

一个基于vnpy，支持多账户，多策略，实盘交易，数据分析，分布式在线回测，风险管理，多交易节点的量化交易系统；支持CTP期货，股票，期权，数字货币等金融产品

Crypto real-time trading engine

Data Analysis Studies on Value Investing

Cloud-native Financial Reinforcement Learning

Technical Analysis Library for Golang

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

zipline 是开源量化平台，但是当前zipline 并不支持A股的测试，很多在线平台如优矿，聚宽等都是基于zipline，本项目改进zipline，使得zipline支持A股测试

Python application used to download, parse, and extract filings from the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)

Quantitative finance research tools in Python

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.

Complete-Life-Cycle-of-a-Data-Science-Project

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

Machine learning models for time series analysis

QLNet C# Library

A brief description on how to use Financial Modeling Prep Api

A program for financial portfolio management, analysis and optimisation.

Asynchronous, event-driven algorithmic trading in Python and C++

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

Financial Derivatives Calculator with 168+ Models (Options Calculator)

Python client for Finnhub API

Interactive app to monitor market using Python

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.

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

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

📊 Financial markets data library implemented in go.

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

A collection of ruby scripts for those who live in the command line

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

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

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

Monero (XMR) testnet sandbox with 3 daemons and 3 wallets

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

LiveCoin RESTful API wrapper for Node.js

The SOC Analysts all-in-one CLI tool to automate and speed up workflow.

OpenAI Gym environments using DART

Phoenixcoin (PXC) is a decentralised open source digital currency.