Investment Research for Everyone, Anywhere.
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Updated
Apr 13, 2023 - Python
Investment Research for Everyone, Anywhere.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal …
A collaboratively curated list of awesome Open-Source Intelligence (OSINT) Resources
A curated collection of links for economists
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
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
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Sharing Updatable Models (SUM) on Blockchain
This repository hosts the code behind the online book, Coding for Economists.
Online research made easy
张俊的读书笔记
Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)
GCAM -- The Global Change Analysis Model
A collection of methods for solving Finance/Accounting equations, implemented in C#.
Applied Econometrics Library for Python
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