World Point Backtesting

WPT -- USA Stock  

USD 17.29  0.00  0.00%

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

World Point 'What if' Analysis

June 18, 2018
0.00
No Change 0.00  0.0%
In 31 days
July 18, 2018
0.00
If you would invest  0.00  in World Point on June 18, 2018 and sell it all today you would earn a total of 0.00 from holding World Point Terminals LP or generate 0.0% return on investment in World Point over 30 days. World Point is related to or competes with Enable Midstream, Cheniere Energy, Valero Energy, Green Plains, Martin Midstream, Verint Systems, and Peak Resorts. World Point Terminals, LP owns, operates, develops, and acquires terminals and other assets for the storage of light refined products, heavy refined products, and crude oil in the East Coast, Gulf Coast, and Midwest regions of the United States.

World Point Upside/Downside Indicators

  

World Point Market Premium Indicators

World Point Terminals Backtested Returns

Our philosophy towards determining 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 World Point Terminals which you can use to evaluate future volatility of the organization. Please check out World Point Terminals to validate if risk estimate we provide are consistent with the epected return of 0.0%. World Point has performance score of 0 on a scale of 0 to 100. The firm maintains market beta of 0.0 which attests that the returns on MARKET and World Point are completely uncorrelated. Although it is extremely important to respect World Point Terminals historical price patterns, it is better to be realistic regarding the information on equity current price history. The philosophy towards determining 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 examining World Point Terminals technical indicators you can presently evaluate if the expected return of 0.0% will be sustainable into the future. World Point Terminals right now maintains a risk of 0.0%. Please check out World Point Terminals Jensen Alpha and Semi Variance to decide if World Point Terminals will be following its historical returns.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 1.00 

Perfect predictability

World Point Terminals LP has perfect predictability. Overlapping area represents the amount of predictability between World Point time series from June 18, 2018 to July 3, 2018 and July 3, 2018 to July 18, 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 World Point Terminals price movement. The serial correlation of 1.0 indicates that 100.0% of current World Point price fluctuation can be explain by its past prices.
Correlation Coefficient 1.0
Spearman Rank Test 1.0
Average Price 17.29
Lagged Average Price 17.29

World Point Terminals lagged returns against current returns

 Current and Lagged Values 
      Timeline 

World Point regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

World Point Lagged Returns

 Regressed Prices 
      Timeline 

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Money Flow Index

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See also World Point Hype Analysis, World Point Correlation, World Point Valuation, World Point Volatility as well as analyze World Point Alpha and Beta and World Point Performance. Please also try My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.