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A curated list of practical financial machine learning tools and applications.

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A financial trading method using machine learning.

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

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

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finance

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Low-latency algorithmic trading platform written in Rust

#nontina, #paperhands,, #pwnzebotz, #tradezbyguille

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event-driven backtesting framework written in golang

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super-monorepo for machine learning and algorithmic trading

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A very simple api request client accessing TD Ameritrade API built in rust.

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

event-driven backtesting framework written in golang

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A C++ stock market algorithmic trading bot

A web application to explore currently hyped stocks on Reddit

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Notebooks based on financial machine learning.

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

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Python interface to IEX and IEX cloud APIs

DeltaPy - Tabular Data Augmentation (by @firmai)

🕖 A curated list of awesome time series databases, benchmarks and papers

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⚠️ Deprecrated in favor of https://github.com/piquette/finance-go

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

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Time Series in Go and PostgreSQL

Unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard API, and allows users to build data pipelines for the Streaming API.

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Keep track of your 💵, 🕘, 🐖, 🐄, 🍻 on your command line

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📈 台灣上市上櫃股票價格擷取（Fetch Taiwan Stock Exchange data）含即時盤、台灣時間轉換、開休市判斷。

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Datasets, papers and books on AI & Finance.