Salesforce Backtesting

CRM -- USA Stock  

Fiscal Quarter End: October 31, 2019  

With this equity back-testing module your can estimate the performance of a buy and hold strategy of Salesforce Com and determine expected loss or profit from investing in Salesforce over given investment horizon. Check also Salesforce Hype Analysis, Salesforce Correlation, Salesforce Valuation, Salesforce Volatility as well as analyze Salesforce Alpha and Beta and Salesforce Performance.
Horizon     30 Days    Login   to change
SymbolX
Backtest

Salesforce 'What if' Analysis

July 22, 2019
0.00
No Change 0.00  0.0 
In 2 months and 31 days
October 20, 2019
0.00
If you would invest  0.00  in Salesforce on July 22, 2019 and sell it all today you would earn a total of 0.00 from holding Salesforce Com or generate 0.0% return on investment in Salesforce over 90 days. Salesforce is related to or competes with American Software, DATA STORAGE, Eventbrite, DESTINY MEDIA, DATATRAK INTERNATIONAL, Domo, and LINE. salesforce.com, inc. develops enterprise cloud computing solutions with a focus on customer relationship management worl...

Salesforce Upside/Downside Indicators

Information Ratio(0.07)
Maximum Drawdown6.74
Value At Risk(2.68)
Potential Upside2.26

Salesforce Market Premium Indicators

Risk Adjusted Performance(0.08)
Jensen Alpha(0.11)
Total Risk Alpha(0.09)
Treynor Ratio(0.17)

Salesforce Com Backtested Returns

Macroaxis considers Salesforce to be very steady. Salesforce Com owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.0815 which indicates the firm had -0.0815% of return per unit of risk over the last 3 months. Macroaxis philosophy towards measuring risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. Salesforce Com exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate Salesforce Risk Adjusted Performance of (0.08) and Coefficient Of Variation of (1,215) to confirm risk estimate we provide. The entity has beta of 0.8317 which indicates as returns on market increase, Salesforce returns are expected to increase less than the market. However during bear market, the loss on holding Salesforce will be expected to be smaller as well. Even though it is essential to pay attention to Salesforce Com current price movements, it is always good to be careful when utilizing equity historical returns. Macroaxis philosophy towards measuring future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Salesforce Com exposes twenty-one different technical indicators which can help you to evaluate its performance. Salesforce Com has expected return of -0.1268%. Please be advised to validate Salesforce Downside Deviation, Jensen Alpha as well as the relationship between Jensen Alpha and Downside Variance to decide if Salesforce Com past performance will be repeated at some point in the near future.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 0.01 
correlation synergy

Virtually no predictability

Salesforce Com has virtually no predictability. Overlapping area represents the amount of predictability between Salesforce time series from July 22, 2019 to September 5, 2019 and September 5, 2019 to October 20, 2019. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Salesforce Com price movement. The serial correlation of 0.01 indicates that just 1.0% of current Salesforce price fluctuation can be explain by its past prices.
Correlation Coefficient0.01
Spearman Rank Test0.06
Residual Average0.0
Price Variance11.14

Salesforce Com lagged returns against current returns

 Current and Lagged Values 
      Timeline 

Salesforce regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

Salesforce Lagged Returns

 Regressed Prices 
      Timeline 

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Salesforce Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for Salesforce and American Software. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
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Check also Salesforce Hype Analysis, Salesforce Correlation, Salesforce Valuation, Salesforce Volatility as well as analyze Salesforce Alpha and Beta and Salesforce Performance. Please also try Balance Of Power module to check stock momentum by analyzing balance of power indicator and other technical ratios.
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