michellebonat/Fed_Funds_ML
Use machine learning (NLP) to demonstrate whether Federal Funds rate changes can be accurately predicted using just the FOMC - the US Federal Reserve Bank - meetings minutes.
This project helps financial analysts and traders predict changes in the US Federal Funds rate. It takes the written minutes from Federal Open Market Committee (FOMC) meetings as input and predicts whether the Fed Funds rate will increase, decrease, or stay the same. Financial professionals who need to anticipate central bank policy moves would find this useful.
No commits in the last 6 months.
Use this if you are a financial analyst or trader looking to forecast Federal Funds rate changes based on the nuanced language of FOMC meeting minutes.
Not ideal if you need to predict interest rate changes using broader economic indicators or highly structured quantitative data.
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Jupyter Notebook
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Last pushed
Sep 08, 2019
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