About This Report

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BTC-USD

$ 9,559.41

LTC-USD

$ 168.82

XRP-USD

$ 0.86

ETH-USD

$ 778.71

ARK-USD

$ 3.47

BCH-USD

$ 1,721.29

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R Packages Used

Load appropriate packages needed to pull and format the data:

reshape2, PerformanceAnalytics, 

PortfolioAnalytics, quantmod,

ggplot2, ggthemes,

forecast, tseries,

plotly, astsa,

prophet, highcharter

Note: This HTML file is mainly to outline my skill with the R Statiscal Programming language and is prepared solely for informational purposes, and is not an offer to buy or sell or a solicitation of an offer to buy or sell any security, product, service or investment. The opinions expressed in this HTML file do not constitute investment advice and independent advice should be sought where appropriate.

Trend

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Asset Prices

Pull Asset Data

Distribution

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BTC-USD

LTC-USD

XRP-USD

ETH-USD

ARK-USD

BCH-USD

Sentiment

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Overall Market Senitment

Loughran Sentiments

Fequency of words per Cyrpto-Currency

Return

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Return performance

Correlations

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Return Correlation Part 1

Heatmap

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BTC-USD

LTC-USD

XRP-USD

ETH-USD

ARK-USD

BCH-USD

Dendrogram

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Dendrogram

Performance

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Annualized Perfomance

Annualized Return Table*
BTC-USD LTC-USD XRP-USD ETH-USD ARK-USD BCH-USD
Annualized Return 0.9813 0.6693 0.6287 1.1163 0.6478 -0.1694
Annualized Std Dev 0.8948 1.2400 1.4752 0.9724 1.6004 1.7085
Annualized Sharpe (Rf=0.5%) 1.0857 0.5330 0.4206 1.1372 0.3996 -0.1016
* Table displays risk/reward statistics for each security

Value at Riskk

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Density Plot of Returns

Optimal Portfolio

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Portfolio Specifications

**************************************************
PortfolioAnalytics Portfolio Specification 
**************************************************

Call:
portfolio.spec(assets = colnames(basket_adj))

Number of assets: 6 
Asset Names
[1] "BTC-USD" "LTC-USD" "XRP-USD" "ETH-USD" "ARK-USD" "BCH-USD"

Constraints
Enabled constraint types
        - full_investment 
        - long_only 

Objectives:
Enabled objective names
        - mean 
        - StdDev 

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Effiient Frontier Plot

Optimal Portfolio Weights