This is a big open question for running statistics and data mining on various stock market data.
Looking for a big nudge in possible recommendations of books or web links that would set up a novice in starting out for learning this process. Maybe available software too.
For example,
Looking over the WSJ, I have always been curious how to set up a very simple test procedure for their reporting of Money Flows.
This breaks out two groups of 15 stocks+indices into Issue Gainers and Issue Losers with this formula: Money Flow figures are the daily volume of composite uptick trades minus the dollar value of downtick trades.
Let's say I take(6/29 data) the biggest gainer stock Conoco +82.3 vs. largest loser stock AIG -58.0.
I'm assuming you guys would run a whole bunch of statistical runs to test after X days later the largest gainer is X% percent higher/lower or vice versa. Maybe test for correlation/alpha and play the stock off an index. Sum the total Money Flow for the 15 stocks in each Gainer/Loser column as a ratio for a possible predictive aspect for market turns? Etc., etc.
This is the type of stuff I would like to learn how to do. But I would like to get started in an example related to this type of stock market data and relevant worthwhile statistics of ZScore, etc.
I need to start someplace. Suggestions?
Jeffrey
Looking for a big nudge in possible recommendations of books or web links that would set up a novice in starting out for learning this process. Maybe available software too.
For example,
Looking over the WSJ, I have always been curious how to set up a very simple test procedure for their reporting of Money Flows.
This breaks out two groups of 15 stocks+indices into Issue Gainers and Issue Losers with this formula: Money Flow figures are the daily volume of composite uptick trades minus the dollar value of downtick trades.
Let's say I take(6/29 data) the biggest gainer stock Conoco +82.3 vs. largest loser stock AIG -58.0.
I'm assuming you guys would run a whole bunch of statistical runs to test after X days later the largest gainer is X% percent higher/lower or vice versa. Maybe test for correlation/alpha and play the stock off an index. Sum the total Money Flow for the 15 stocks in each Gainer/Loser column as a ratio for a possible predictive aspect for market turns? Etc., etc.
This is the type of stuff I would like to learn how to do. But I would like to get started in an example related to this type of stock market data and relevant worthwhile statistics of ZScore, etc.
I need to start someplace. Suggestions?
Jeffrey
