EverQuote Backtesting

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EVER -- USA Stock  

Upward Rally

With this equity back-testing module your can estimate the performance of a buy and hold strategy of EverQuote and determine expected loss or profit from investing in EverQuote over given investment horizon. Continue to EverQuote Hype Analysis, EverQuote Correlation, EverQuote Valuation, EverQuote Volatility as well as analyze EverQuote Alpha and Beta and EverQuote Performance.

EverQuote 'What if' Analysis

No Change 0.00  0.0 
In 3 months and 1 day
If you would invest  0.00  in EverQuote on January 10, 2020 and sell it all today you would earn a total of 0.00 from holding EverQuote or generate 0.0% return on investment in EverQuote over 90 days. EverQuote is related to or competes with Facebook, Phoenix New, IQIYI, Spark Networks, Gaia, and IACInterActiveCorp. EverQuote, Inc. operates an online marketplace for insurance shopping in the United States

EverQuote Upside/Downside Indicators

Downside Deviation23.72
Information Ratio0.0949
Maximum Drawdown184.88
Value At Risk(51.92)
Potential Upside90.97

EverQuote Market Premium Indicators

Risk Adjusted Performance0.3579
Jensen Alpha3.08
Total Risk Alpha4.77
Sortino Ratio0.126
Treynor Ratio2.04

EverQuote Backtested Returns

EverQuote is dangerous given 3 months investment horizon. EverQuote secures Sharpe Ratio (or Efficiency) of 0.1448, which denotes the organization had 0.1448% of return per unit of risk over the last 3 months. Our philosophy towards predicting volatility of a stock is to use EverQuote market data together with company specific technical indicators. We found twenty-eight different technical indicators, which can help you to evaluate if expected returns of 5.62% are justified by taking the suggested risk. Use EverQuote Coefficient Of Variation of 1149.45, Downside Deviation of 23.72 and Mean Deviation of 15.42 to evaluate company specific risk that cannot be diversified away. EverQuote holds performance score of 9 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 1.3356, which denotes to the fact that as market goes up, the company is expected to significantly outperform it. However, if the market returns are negative, EverQuote will likely underperform. Although it is essential to pay attention to EverQuote historical returns, it is also good to be reasonable about what you can actually do with equity current trending patterns. Macroaxis philosophy towards predicting future performance of any stock is to look not only at its past charts but also at the business as a whole, including all available fundamental and technical indicators. To evaluate if EverQuote expected return of 5.62 will be sustainable into the future, we have found twenty-eight different technical indicators, which can help you to check if the expected returns are sustainable. Use EverQuote Value At Risk, and the relationship between Jensen Alpha and Skewness to analyze future returns on EverQuote.
AdviceVolatility TrendExposureCorrelations
15 days auto-correlation(0.81) 
correlation synergy

Excellent reverse predictability

EverQuote has excellent reverse predictability. Overlapping area represents the amount of predictability between EverQuote time series from 10th of January 2020 to 24th of February 2020 and 24th of February 2020 to 9th of April 2020. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of EverQuote price movement. The serial correlation of -0.81 indicates that around 81.0% of current EverQuote price fluctuation can be explain by its past prices. Given that EverQuote has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of EverQuote for similar time interval.
Correlation Coefficient-0.81
Spearman Rank Test-0.83
Residual Average0.0
Price Variance86.39

EverQuote lagged returns against current returns

 Current and Lagged Values 

EverQuote regressed lagged prices vs. current prices

 Current vs Lagged Prices 

EverQuote Lagged Returns

 Regressed Prices 

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EverQuote Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for EverQuote and Facebook. 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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Continue to EverQuote Hype Analysis, EverQuote Correlation, EverQuote Valuation, EverQuote Volatility as well as analyze EverQuote Alpha and Beta and EverQuote Performance. Please also try Money Flow Index module to determine momentum by analyzing money flow index and other technical indicators.
Macroaxis is not a registered investment advisor or broker/dealer. All investments, including stocks, funds, ETFs, or cryptocurrencies, are speculative and involve substantial risk of loss. We encourage our investors to invest carefully. Much of our information is derived directly from data published by companies or submitted to governmental agencies which we believe are reliable, but are without our independent verification. Therefore, we cannot assure you that the information is accurate or complete. We do not in any way warrant or guarantee the success of any action you take in reliance on our statements or recommendations. Also, note that past performance is not necessarily indicative of future results. All investments carry risk, and all investment decisions of an individual remain the responsibility of that individual. There is no guarantee that systems, indicators, or signals will result in profits or that they will not result in losses. All investors are advised to fully understand all risks associated with any investing they choose to do. Hypothetical or simulated performance is not indicative of future results. We make no representations or warranties that any investor will, or is likely to, achieve profits similar to those shown because hypothetical or simulated performance is not necessarily indicative of future results. For more information please visit our terms and condition page