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NYSE Backtesting

NYS
NYA -- USA Index  

 12,721  325.94  2.50%

With this equity back-testing module your can estimate the performance of a buy and hold strategy of NYSE and determine expected loss or profit from investing in NYSE over given investment horizon. Check out NYSE Hype Analysis, NYSE Correlation, Portfolio Optimization, NYSE Volatility as well as analyze NYSE Alpha and Beta and NYSE Performance.
Symbol
Backtest

NYSE 'What if' Analysis

0.00
11/29/2019
No Change 0.00  0.0 
In 3 months and 1 day
02/27/2020
0.00
If you would invest  0.00  in NYSE on November 29, 2019 and sell it all today you would earn a total of 0.00 from holding NYSE or generate 0.0% return on investment in NYSE over 90 days. NYSE is related to or competes with SK Innovation, Microsoft, Apple, Alphabet, Berkshire Hathaway, VEDANTA, and Alibaba Group. NYSE is entity of United States. It is traded as Index on Index exchange.

NYSE Upside/Downside Indicators

Information Ratio(0.037456)
Maximum Drawdown7.09
Value At Risk(1.49)
Potential Upside0.7861

NYSE Market Premium Indicators

Risk Adjusted Performance(0.07)
Total Risk Alpha(0.036823)

NYSE Backtested Returns

NYSE has Sharpe Ratio of -0.0881 which conveys that the entity had -0.0881% of return per unit of standard deviation over the last 3 months. Macroaxis philosophy towards estimating risk of any index is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. NYSE exposes twenty-seven different technical indicators which can help you to evaluate volatility that cannot be diversified away. The index secures Beta (Market Risk) of 0.0, which conveys that the returns on MARKET and NYSE are completely uncorrelated. Even though it is essential to pay attention to NYSE price patterns, it is always good to be careful when utilizing equity historical price patterns. Macroaxis philosophy towards estimating future performance of any index is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. NYSE exposes twenty-seven different technical indicators, which can help you to evaluate its performance.
AdviceVolatility TrendExposureCorrelations
15 days auto-correlation(0.34) 
correlation synergy

Poor reverse predictability

NYSE has poor reverse predictability. Overlapping area represents the amount of predictability between NYSE time series from November 29, 2019 to January 13, 2020 and January 13, 2020 to February 27, 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 NYSE price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current NYSE price fluctuation can be explain by its past prices. Given that NYSE has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of NYSE for similar time interval.
Correlation Coefficient-0.34
Spearman Rank Test-0.16
Residual Average0.0
Price Variance44099.21

NYSE lagged returns against current returns

 Current and Lagged Values 
    
  Timeline 

NYSE regressed lagged prices vs. current prices

 Current vs Lagged Prices 
    
  Timeline 

NYSE Lagged Returns

 Regressed Prices 
    
  Timeline 

Current Sentiment - NYA

NYSE Investor Sentiment

Most of Macroaxis investors are at this time bullish on NYSE. What is your trading attitude regarding investing in USA companies? Are you bullish or bearish on NYSE?
Bullish
Bearish
98% Bullish
2% Bearish
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Check out NYSE Hype Analysis, NYSE Correlation, Portfolio Optimization, NYSE Volatility as well as analyze NYSE Alpha and Beta and NYSE Performance. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.