jharvey09 / Lets_Get_Optimized

An optimized portfolio of crypto and stocks

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Lets Get Optimized

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An optimized portfolio of crypto and stocks

A Focus On Portfolio Optimization

Contributers : Jamel Havey & Oodaye Shukla

Outline

Given $10,000, what is the optimum portfolio allocation Assets span Cryptocurrency and traditional assets (stocks) Apply portfolio optimization methods and forecasting methods

Assets

Cryptocurrency: Bitcoin (BTC) | Ripple (XRP) | Cardona (ADA) | Litecoin (LTC) | BinanceCoin (BNB) | DogeCoin (DOGE) | Uniswap (UNI) | CryptocomCoin (CRO) | Ethereum (ETH) | Solana (SOL)

Traditional: Apple (AAPL) | Tesla (TSLA) | Google (GOOG) | Amazon (AMZN) | Bank of America (BAC) | Costco (COST) | Disney (DISN) | Domnioes Pizza (DPZ) Coca-Cola (KO) | Microsoft (MSFT) Nordic American Tanker (NAT) | Starbucks (SBUX)

Approach

Download and standardize historical data Leverage Portfolio Optimization Libraries to determine overall weighting Use Black-Litterman Allocation Determine portfolio asset weighting Compute overall returns across the portfolio of assets Use a graph database to determine the similarity of assets based on a collection of measures Can be extended to other non-numeric measures

Plots

Cryto 21 Day rolling STD 21 Day Rolling STD Crypto

Initial Investmentn (Crypto) image

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An optimized portfolio of crypto and stocks


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Language:Jupyter Notebook 99.5%Language:Python 0.5%