NYSE Backtesting

NYA -- USA Index  

 12,525  195.72  1.54%

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. See also NYSE Hype Analysis, NYSE Correlation, Portfolio Optimization, NYSE Volatility as well as analyze NYSE Alpha and Beta and NYSE Performance.
Horizon     30 Days    Login   to change
SymbolX
Backtest

NYSE 'What if' Analysis

March 25, 2019
0.00
No Change 0.00  0.0%
In 2 months and 1 day
May 24, 2019
0.00
If you would invest  0.00  in NYSE on March 25, 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 60 days.

NYSE Upside/Downside Indicators

Information Ratio(0.00326)
Maximum Drawdown2.62
Value At Risk(0.99)
Potential Upside1.02

NYSE Market Premium Indicators

Risk Adjusted Performance(0.002013)
Total Risk Alpha(0.002793)

NYSE Backtested Returns

NYSE has Sharpe Ratio of -3.0E-4 which conveys that the entity had -3.0E-4% of return per unit of standard deviation over the last 2 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-eight 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-eight different technical indicators which can help you to evaluate its performance.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation(0.68) 
correlation synergy

Very good reverse predictability

NYSE has very good reverse predictability. Overlapping area represents the amount of predictability between NYSE time series from March 25, 2019 to April 24, 2019 and April 24, 2019 to May 24, 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 NYSE price movement. The serial correlation of -0.68 indicates that around 68.0% 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-0.68
Spearman Rank Test-0.67
Residual Average0.0
Price Variance26849.71

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
Skip

Also Currentnly Active

Purchased few shares of
few hours ago
Traded for 197.0
Purchased over 100 shares of
few hours ago
Traded for 2.86
Purchased few shares of
few hours ago
Traded for 161.74
See also NYSE Hype Analysis, NYSE Correlation, Portfolio Optimization, NYSE Volatility as well as analyze NYSE Alpha and Beta and NYSE Performance. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Search macroaxis.com