Patriot National Backtesting

PN -- USA Stock  

USD 0.36  0.00  0.00%

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

Patriot National 'What if' Analysis

June 20, 2018
0.00
No Change 0.00  0.0%
In 30 days
July 20, 2018
0.00
If you would invest  0.00  in Patriot National on June 20, 2018 and sell it all today you would earn a total of 0.00 from holding Patriot National or generate 0.0% return on investment in Patriot National over 30 days. Patriot National is related to or competes with China Life, Prudential plc, Manulife Financial, Sun Life, Willis Towers, Fairfax Financial, and AEGON N. Patriot National, Inc., together with its subsidiaries, offer technologyenabled outsourcing solutions within the workers compensation marketplace for insurance carriers, local governments, reinsurance captives, and other employers in the United States.

Patriot National Upside/Downside Indicators

  

Patriot National Market Premium Indicators

Patriot National Backtested Returns

Our philosophy towards forecasting volatility of a stock is to use all available market data together with company specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Patriot National which you can use to evaluate future volatility of the company. Please check Patriot National to confirm if risk estimate we provide are consistent with the epected return of 0.0%. Patriot National has performance score of 0 on a scale of 0 to 100. The organization holds Beta of 0.0 which implies the returns on MARKET and Patriot National are completely uncorrelated. Although it is extremely important to respect Patriot National current trending patterns, it is better to be realistic regarding the information on equity existing price patterns. The philosophy towards forecasting future performance of any stock is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators. By analyzing Patriot National technical indicators you can presently evaluate if the expected return of 0.0% will be sustainable into the future. Patriot National right now holds a risk of 0.0%. Please check Patriot National Jensen Alpha and Downside Variance to decide if Patriot National will be following its historical price patterns.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 1.00 

Perfect predictability

Patriot National has perfect predictability. Overlapping area represents the amount of predictability between Patriot National time series from June 20, 2018 to July 5, 2018 and July 5, 2018 to July 20, 2018. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Patriot National price movement. The serial correlation of 1.0 indicates that 100.0% of current Patriot National price fluctuation can be explain by its past prices.
Correlation Coefficient 1.0
Spearman Rank Test 1.0
Average Price 0.36
Lagged Average Price 0.36

Patriot National lagged returns against current returns

 Current and Lagged Values 
      Timeline 

Patriot National regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

Patriot National Lagged Returns

 Regressed Prices 
      Timeline 

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Additionally take a look at Patriot National Hype Analysis, Patriot National Correlation, Patriot National Valuation, Patriot National Volatility as well as analyze Patriot National Alpha and Beta and Patriot National Performance. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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