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Awesome QuantA curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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TtrTechnical analysis and other functions to construct technical trading rules with R
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Ta RsTechnical analysis library for Rust language
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finacFinac - financial accounting for humans
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gobacktestevent-driven backtesting framework written in golang
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StockseraWeb application that provides alternative data to retail investors
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stockholm💵 Modern Python library for working with money and monetary amounts. Human friendly and flexible approach for development. 100% test coverage + built-in support for GraphQL and Protocol Buffers transports using current best-practices.
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web trader📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.
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currencyA currency computations package.
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Scrape-Finance-Data-v2A standalone package to scrape financial data from listed Vietnamese companies via Vietstock
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DCFBasic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
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pyitauUnofficial client to access your Itaú bank data
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avanzaA Python library for the unofficial Avanza API
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pystockfilterFinancial technical and fundamental analysis indicator library for pystockdb.
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futu algoFutu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序
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finfinance
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finatrhelping you analyze your future cash flows
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portfoliolabPortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
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BankClassifySimple example of using a Naive Bayesian classification to classify entries in bank statements
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qtrn⚠️ Deprecated, see https://github.com/piquette/qtrn ⚠️
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ferrumfixFinancial Information eXchange protocol implemented in Rust
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FynancePython and Cython scripts of machine learning, econometrics and statistical tools designed for finance.
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go ehlers indicatorsA collection of John Ehlers technical analysis indicators / Filters written in pure go, with links to original papers
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