Stock Chart Analysis and Artificial Intelligence

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Stock Analysis

Correlation Trading Platform

Correlations

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Stock Price Correlation Analysis:

Correlation Trading Platform by AiStockcharts.com

Linear correlation is a statistical analysis tool that can help to show if a relationship between 2 parameters exists. The correlation value is called the correlation coefficient and ranges from -1 to 1. A value of 1 means there is perfect correlation. -1 means perfect anti-correlation. And, a value of 0 means no correlation exists between the 2 parameters.

The default parameter used in the analysis on aistockcharts.com is the daily percentage change in stock prices for the last 60 days. A correlation coefficient value of 0.8 means that the daily percentage stock price changes between 2 stocks has shown a strong correlation. In other words, over the last 60 days the stock prices changed by about the same percentage each day. Keep in mind that correlation may or may not be significant and does not necessarily represent causation. See tool #6 below for a significance test.

Tool #0: Asset Class Matrix - Explain the scatter plots shown below.

Tool #1: Enter a ticker symbol & find it's most highly correlated (or anti-correlated) stocks.

Tool #2: Enter 2 or more ticker symbols & find their correlation values.

Tool #3: Enter ticker symbols & find their correlation values with the S&P 500.

Tool #4 (members only):

Resizable correlation plot of 2 tickers with option to change time periods and number of data points.

Tool #5: Scatter plot of daily stock price changes.

Today's market data

Stock Chart Analysis:
20-day closing lows	20-day closing highs
Closed below lower Bollinger Band	Closed above upper Bollinger Band
9-day SMA crossed below 25-day SMA	Accelerating negative sloped 20-day SMA for last 2 days
Doji candlestick	Accelerating positive sloped 20-day SMA for last 2 days
Closed up more than 5% from yesterday	Volume more than 50% higher than 20-day average volume
Closed down more than 5% from yesterday	Volume less than half of the 20-day average volume
Fast Stochastic (%K) below 5%	MACD showing 12-day EMA more than 3% above the 26-day EMA
Fast Stochastic (%K) above 95%	Close with less than 0.1% change from the close yesterday

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Any specific investment or investment service contained or referred to in this web site may not be suitable for all visitors to this site. An investment in stocks may mean investors may lose an amount even greater than their original investment. Anyone wishing to invest or speculate in the stock market should seek his or her own financial or professional advice. AiStockCharts.com is not an investment advisory service and does not recommend the purchase or sale of stocks. There are no licensed financial advisors working at AiStockCharts.com.

HYPOTHETICAL PERFORMANCE RESULTS HAVE MANY INHERENT LIMITATIONS, SOME OF WHICH ARE DESCRIBED BELOW. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN. IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN HYPOTHETICAL PERFORMANCE RESULTS AND THE ACTUAL RESULTS SUBSEQUENTLY ACHIEVED BY ANY PARTICULAR TRADING SYSTEM. ONE OF THE LIMITATIONS OF HYPOTHETICAL PERFORMANCE RESULTS IS THAT THEY ARE GENERALLY PREPARED WITH THE BENEFIT OF HINDSIGHT. IN ADDITION, HYPOTHETICAL TRADING DOES NOT INVOLVE FINANCIAL RISK, AND NO HYPOTHETICAL TRADING RECORD CAN COMPLETELY ACCOUNT FOR THE IMPACT OF FINANCIAL RISK IN ACTUAL TRADING. FOR EXAMPLE, THE ABILITY TO WITHSTAND LOSSES OR TO ADHERE TO A PARTICULAR TRADING PROGRAM IN SPITE OF TRADING LOSSES ARE MATERIAL POINTS WHICH CAN ALSO ADVERSELY AFFECT ACTUAL TRADING RESULTS. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF ANY SPECIFIC TRADING PROGRAM WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF HYPOTHETICAL PERFORMANCE RESULTS AND ALL OF WHICH CAN ADVERSELY AFFECT ACTUAL TRADING RESULTS. THE RISK OF LOSS IN TRADING STOCKS CAN BE SUBSTANTIAL.

Stock trading is speculative and a substantial risk of loss exists. Past performance is not necessarily indicative of future results.