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greyblake avatar

greyblake/ta-rs

0
View on GitHub↗
863 stars·167 forks·Rust·MIT·12 views

Ta Rs

Technical analysis library for Rust language

Features

  • Financial Analytics - Technical analysis library for the Rust language.
  • Financial Analytics Tools - Technical analysis library for the Rust language.

Star history

Star history chart for greyblake/ta-rsStar history chart for greyblake/ta-rs

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does greyblake/ta-rs do?

Technical analysis library for Rust language

What are the main features of greyblake/ta-rs?

The main features of greyblake/ta-rs are: Financial Analytics, Financial Analytics Tools.

What are some open-source alternatives to greyblake/ta-rs?

Open-source alternatives to greyblake/ta-rs include: google/tf-quant-finance — This is a quantitative finance library built on TensorFlow for financial engineering, asset pricing, and risk… heerozh/spectre — GPU-accelerated Factors analysis library and Backtester. enthought/pyql — Cython QuantLib wrappers. dcajasn/riskfolio-lib — Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for… domokane/financepy — A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including… jankrepl/deepdow.

Open-source alternatives to Ta Rs

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    This is a quantitative finance library built on TensorFlow for financial engineering, asset pricing, and risk management. It serves as a financial derivative pricing engine, a model calibration tool, and a hardware-accelerated math library for numerical tasks. The library provides specialized capabilities for pricing financial assets using standard models and American option logic, as well as calibrating pricing models to market data through local volatility. It includes tools for constructing yield curves via bootstrapping algorithms and monotone convex interpolation. The framework covers a

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