{"id":125,"date":"2016-02-20T19:23:19","date_gmt":"2016-02-20T19:23:19","guid":{"rendered":"http:\/\/intelligentonlinetools.com\/blog\/?p=125"},"modified":"2016-03-11T02:07:50","modified_gmt":"2016-03-11T02:07:50","slug":"calculating-indicators-for-stock-data-forecasting-2","status":"publish","type":"post","link":"http:\/\/intelligentonlinetools.com\/blog\/2016\/02\/20\/calculating-indicators-for-stock-data-forecasting-2\/","title":{"rendered":"Calculating Indicators for Stock Data Forecasting"},"content":{"rendered":"

In the previous posts <\/a> was shown how to download stock data into Google spreadsheet using perl script. Here we will look how to add other data indicators based on downloaded stock data prices and volume. The use for stock data prediction of such indicators based on stock data that is usually is available for downloading can be viewed in data mining papers [1], [2] More links and some notes can be found at input-for-stock-data-prediction<\/a>. Here is the link to stock data analysis<\/a> perl module with the source code to calculate simple moving average, force index indicator, momentum and some other. In the near future will be added calculations for other indicators. <\/p>\n

And here an example how the functions from this module can be used in any perl program: <\/p>\n

use warnings;
\nuse stock_data_analysis;
\nfor($i=0; $i<10; $i++) \n{ $data[$i]=$i; \n $vol[$i]=2; } \n\n\n\nfor($i=0; $i<10; $i++)\n { print $data[$i]; print \"\\n\"; }\n @diff_data= stock_data_analysis::do_diff(@data); \n\n\n\nfor($i=0; $i<10; $i++) \n{ print $diff_data[$i]; print \"\\n\"; }\n\n\n\n print “\\n”; \n\n\n\nprint “mean=”;\n\n\n\n print stock_data_analysis::get_mean(@data); \n\n\n\nprint “\\n\\n”;\n\n\n\n @a=stock_data_analysis::sma(4, @data);\n\n\n\n for($i=0; $i<10; $i++)\n { print $a[$i]; print \"\\n\"; } \n\n\n\nprint “\\n\\n”;\n\n\n\n @a=stock_data_analysis::get_FI(1, \\@data, \\@vol);\n\n\n\n for($i=0; $i<10; $i++)\n { print $a[$i]; print \"\\n\"; } \n\n\n\nThus now we can add above indicators to downloaded stock price data in Google spreadsheet. \n\n\n\nReferences \n\n\n\n1. Financial Stock Market Forecast using Data Mining Techniques K. Senthamarai Kannan, P. Sailapathi Sekar, M.Mohamed Sathik and P. Arumugam, IMECS 2010 \n\n\n\n2. The Comparison of Methods Artificial Neural Network with Linear Regression Using Specific Variables for Prediction Stock Price in Tehran Stock Exchange, Reza Gharoie Ahangar, Mahmood Yahyazadehfar, Hassan Pournaghshband, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 7, No. 2, February 2010\n<\/p>\n","protected":false},"excerpt":{"rendered":"

In the previous posts was shown how to download stock data into Google spreadsheet using perl script. Here we will look how to add other data indicators based on downloaded stock data prices and volume. The use for stock data prediction of such indicators based on stock data that is usually is available for downloading … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":[]},"categories":[3],"tags":[],"jetpack_publicize_connections":[],"yoast_head":"\nCalculating Indicators for Stock Data Forecasting - Machine Learning Applications<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/intelligentonlinetools.com\/blog\/2016\/02\/20\/calculating-indicators-for-stock-data-forecasting-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Calculating Indicators for Stock Data Forecasting - Machine Learning Applications\" \/>\n<meta property=\"og:description\" content=\"In the previous posts was shown how to download stock data into Google spreadsheet using perl script. 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Here we will look how to add other data indicators based on downloaded stock data prices and volume. The use for stock data prediction of such indicators based on stock data that is\u2026","rel":"","context":"In "Stock data analysis"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":120,"url":"http:\/\/intelligentonlinetools.com\/blog\/2016\/02\/20\/input-for-stock-data-prediction-algorithms\/","url_meta":{"origin":125,"position":1},"title":"Input for Stock Data Prediction Algorithms","date":"February 20, 2016","format":false,"excerpt":"What can be used for input to stock data prediction system? In this post we will consider some indicator that often are used for stock data forecasting. The links to information about indicators and how to calculate will be also provided. Moving averages are often used in technical analysis. 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