548 Open source projects that are alternatives of or similar to Ta Lib

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

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

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

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

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Quantitative Analysis Research see more at https://teddykoker.com

Quantitative Interview Preparation Guide, updated version here ==>

Introducing neural networks to predict stock prices

High-performance TensorFlow library for quantitative finance.

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

Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting data.

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

股市技術分析小工具

Quantitative Finance tools

Determine optimal rebalancing of a passive stock portfolio.

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

Slide show presentations regarding data driven investing.

The foundational library of the Morpheus data science framework

Algorithmic trading strategies

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.

A collection of John Ehlers technical analysis indicators / Filters written in pure go, with links to original papers

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

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

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

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.

A financial trading method using machine learning.

Notebooks based on financial machine learning.

Open source analytics and market risk library from OpenGamma

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.

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

QLNet C# Library

EasyLanguage indicators and systems for TradeStation

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

Quantitative systematic trading strategy development and backtesting in Julia

modular quant framework.

Financial market technical analysis & indicators in Julia

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

Simple javascript library containing methods for financial technical analysis

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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

Technical analysis and other functions to construct technical trading rules with R

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

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

Python client for Finnhub API

Extensible Algo-Trading Python Package.

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

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction

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

Technical analysis library for Rust language

No description or website provided.

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

Finance package written in Golang, mainly with TA indicators.

Investment portfolio and stocks analyzing tools for Python with free historical data

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

A GitHub repo for Quant Finance resources

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

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

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

Example Order Book Imbalance Algorithm