7114 Open source projects that are alternatives of or similar to Pandas Ta

Technical analysis library for Rust language

EasyLanguage indicators and systems for TradeStation

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Common financial technical indicators implemented in Pandas.

Alpaca Trading API integrated with backtrader

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

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

Technical Analysis Library using Pandas and Numpy

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

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

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Use AI to generate a optimized stock portfolio

Strategies to Gekko trading bot with backtests results and some useful tools.

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TuShare is a utility for crawling historical data of China stocks

A small Python library with most common stock market indicators

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

Notebooks based on financial machine learning.

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

Stock Analysis Tutorial in Python

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

Stock for Deep Learning and Machine Learning

Functionalities in Excel translated to Python

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Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Let Python optimize the best stop loss and take profits for your TradingView strategy.

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

Stock market tracker for hackers.

This repository provides everything you need to get started with Python for (social science) research.

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Stock data collection and analysis

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

Pipeline Extension for Live Trading

A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Simple BitMEX trading robot.

📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

Python wrapper for an unofficial Yahoo Finance API

A Java library for technical analysis ***Not maintained anymore, kept for archival purposes, see #192***

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

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

Performance analysis of predictive (alpha) stock factors

📊 Financial markets data library implemented in go.

Example Order Book Imbalance Algorithm

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

【运筹OR帷幄|数据科学】pandas教程系列电子书

Java开源量化交易开发框架

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Python wrapper for TA-Lib (http://ta-lib.org/).

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

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

A股自动选股程序，实现了海龟交易法则、缠中说禅牛市买点，以及其他若干种技术形态

Python SDK for IEX Cloud

Easy pipelines for pandas DataFrames.

Introducing neural networks to predict stock prices