1130 Open source projects that are alternatives of or similar to Indicators.jl

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A Julia package for estimating ARMA-GARCH models.

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API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

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

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An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.

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.

Simple javascript library containing methods for financial technical analysis

Finance package written in Golang, mainly with TA indicators.

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​The Economic Simulation Library provides an extensive collection of tools to develop, test, analyse and calibrate economic and financial agent-based models. The library is designed to take advantage of different computer architectures. In order to facilitate rapid iteration during model development the library can use parallel computation. Econ…

ARCH models in Python

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

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

Timeseries database

Durable time-series database that's API-compatible with Prometheus.

GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.

1st place solution

If you can measure it, consider it predicted

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Python client for Finnhub API

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This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

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

Predict time-series with one line of code.

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

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Portfolio optimization with deep learning.

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

GANs for time series generation in pytorch

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A python library for Bayesian time series modeling

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Bringing financial analysis to the tidyverse

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股市技術分析小工具

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

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CNN for stock market prediction using raw data & candlestick graph.

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Downsample plugin for Flot charts.

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SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

EasyLanguage indicators and systems for TradeStation

Library which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions