awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
https://github.com/wilsonfreitas/awesome-quant

Last synced: 8 days ago
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Filtered by technical-indicators. Clear filters

Julia

Indicators.jl - Financial market technical analysis & indicators on top of Temporal.

Pandas TA - Pandas TA is an easy to use Python 3 Pandas Extension with 115+ Indicators. Easily build Custom Strategies.
NowTrade - Python library for backtesting technical/mechanical strategies in the stock and currency markets.
TuneTA - TuneTA optimizes technical indicators using a distance correlation measure to a user defined target feature such as next day return.
fast-trade - Low code backtesting library utilizing pandas and technical analysis indicators.

Stock_Analysis_For_Quant - Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau.
Finance - 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.

Indicators.jl - Julia - Financial market technical analysis & indicators on top of Temporal.