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Modern Portfolio Theory (MPT) and Efficient Frontier

Python

Open In Colab Open In SageMaker Studio Lab Launch in Deepnote Binder Run on Gradient

Documentation for used libraries

PyPortfolioOpt
yfinance
finvizfinance

Other libraries can be used

Link
Portfolio Optimization FinQuant
OKAMA
Data Tiingo
FMP Cloud
FMP
AlphaVantage
twelvedata
EODHD
Price Targets (paid subscription required) FMP
twelvedata
tradefeeds
Zacks Target Price History
twelvedata
Stocks Lists twelvedata
EODHD
Analysts' Price Targets (not API) Finviz.com
Tipranks
Benzinga
Barrons
Y!
MarketWatch
WSJ

Disclaimer

The information provided here is for general educational and entertainment purposes only. It is presented without any representation or warranties, express or implied, regarding the accuracy, completeness, or applicability of the content to your particular circumstances.

The information should not be construed as professional financial, investment, tax, or legal advice. You should always seek the advice of a qualified professional before making any financial decisions.

Past performance is not a guarantee of future returns. All investments carry risk, including the potential loss of principal invested. There is no assurance that any financial strategy will be successful.

Any references to market performance, securities, investment strategies, portfolios, or asset allocations are provided for illustrative purposes only. They do not constitute a recommendation to buy, sell, or hold a particular investment.

Please consult with a qualified investment professional before making any investment decisions. Use this information at your own risk.

By accessing this repository, you agree to be bound by this disclaimer. If you do not agree with these terms, please do not use this repository.