description: COUNTY_LAND_PARCELS_IDHS_IN is a polygon feature class that contains land parcels maintained by county agencies in Indiana, provided by personnel of Indiana Department of Homeland Security (IDHS) as of June 29, 2009, and subsequently updated on September 30, 2009, December 2, 2009, December 28, 2009, February 2, 2010, March 5, 2010, April 6, 2010, October 11, 2010, November 19, 2010, March 22, 2011, September 8, 2011, January 30, 2012, June 8, 2012, August 27, 2012, April 27, 2013, and November 22, 2013. This data set was provided by IDHS in ESRI feature class named "County_Parcels." This data set was compiled by IDHS as part of the IndianaMap Data Sharing Initiative between IGIC, Indiana Office of Technology (IOT), Indiana Geographic Information Office (GIO), Indiana Department of Homeland Security (IDHS), Indiana Geological Survey (IGS) and participating Indiana counties to provide the most accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for the citizens of Indiana. More information is available at the following Web URL: http://www.igic.org/news/index.php?itemid=265; abstract: COUNTY_LAND_PARCELS_IDHS_IN is a polygon feature class that contains land parcels maintained by county agencies in Indiana, provided by personnel of Indiana Department of Homeland Security (IDHS) as of June 29, 2009, and subsequently updated on September 30, 2009, December 2, 2009, December 28, 2009, February 2, 2010, March 5, 2010, April 6, 2010, October 11, 2010, November 19, 2010, March 22, 2011, September 8, 2011, January 30, 2012, June 8, 2012, August 27, 2012, April 27, 2013, and November 22, 2013. This data set was provided by IDHS in ESRI feature class named "County_Parcels." This data set was compiled by IDHS as part of the IndianaMap Data Sharing Initiative between IGIC, Indiana Office of Technology (IOT), Indiana Geographic Information Office (GIO), Indiana Department of Homeland Security (IDHS), Indiana Geological Survey (IGS) and participating Indiana counties to provide the most accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for the citizens of Indiana. More information is available at the following Web URL: http://www.igic.org/news/index.php?itemid=265

COUNTY_STREET_CENTERLINES_IDHS_IN is a line feature class that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana Department of Homeland Security (IDHS) as of June 29, 2009, and subsequently updated on September 30, 2009, December 2, 2009, December 28, 2009, February 2, 2010, March 5, 2010, April 6, 2010, October 11, 2010, November 19, 2010, March 22, 2011, September 8, 2011, January 30, 2012, June 8, 2012, August 27, 2012, April 27, 2013, November 22, 2013, January 19, 2014, October 14, 2014, June 22, 2015, and December 17, 2015. This data set was provided by IDHS in ESRI feature class format and was named "County_St_Centerline." These data were compiled by IDHS as part of the IndianaMap Data Sharing Initiative between IGIC, Indiana Office of Technology (IOT), Indiana Geographic Information Office (GIO), Indiana Department of Homeland Security (IDHS), Indiana Geological Survey (IGS) and participating Indiana counties to provide the most accurate framework data (including address points, street centerlines, land parcels, and governmental boundaries) for the citizens of Indiana. More information is available at the following Web URL: http://www.igic.org/news/index.php?itemid=265

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

International General Insurance (IGIC) Stock Forecast: Buckle Up for a Bumpy Ride, But the Destination is Profitable

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

description: Indiana's Statewide Lidar data is produced at 1.5-meter average post spacing for all 92 Indiana Counties covering more than 36,420 square miles. New Lidar data was captured except where previously captured Lidar data exists, or the participating County bought-up to a higher resolution of 1.0-meter average post spacing Lidar data. Existing Lidar data exists for: Porter, Steuben, Noble, De Kalb, Allen, Madison, Delaware, Hendricks, Marion, Hancock, Morgan, Johnson, Shelby, Monroe, and portions of Vermillion, Parke, Vigo, Clay, Sullivan, Knox, Gibson, and Posey. These existing Lidar datasets were seamlessly integrated into this new statewide dataset. From this seamless Lidar product a statewide 5-foot post spacing hydro-flattened DEM product was created and is also available. See the FGDC Metadata provided for more details. This statewide project is divided into three geographic areas captured over a 3-year period (2011-2013):Area 1 (2011) Indiana central counties: St. Joseph, Elkhart, Starke, Marshall, Kosciusko, Pulaski, Fulton, Cass, Miami, Wabash, Carroll, Howard, Clinton, Tipton, Boone, Hendricks, Marion, Morgan, Johnson, Monroe, Brown, Bartholomew, Lawrence, Jackson, Orange, Washington, Crawford, and Harrison. Area 2 (2012) Indiana eastern counties: LaGrange, Steuben, Noble, DeKalb, Whitley, Allen, Huntington, Wells, Adams, Grant, Blackford, Jay, Hamilton, Madison, Delaware, Randolph, Hancock, Henry, Wayne, Shelby, Rush, Fayette, Union, Decatur, Franklin, Jennings, Ripley, Dearborn, Ohio, Scott, Jefferson, Switzerland, Clark, and Floyd. Area 3 (2013) Indiana western counties: Lake, Porter, LaPorte, Newton, Jasper, Benton, White, Warren, Tippecanoe, Fountain, Montgomery, Vermillion, Parke, Putnam, Vigo, Clay, Owen, Sullivan, Greene, Knox, Daviess, Martin, Gibson, Pike, Dubois, Posey, Vanderburgh, Warrick, Spencer, and Perry.Funders of OpenTopography Hosting of the Indiana Statewide Lidar and DEM data: USDA NRCS, Indiana, ISPLS Foundation, Indiana Geographic Information Office, Indiana Office of Technology, Indiana Geological Survey, Surdex Corporation, Vectren Energy Delivery, Indiana, Woolpert, Inc., and Individual IGIC Member Donations from Jim Stout, Jeff McCann, Cele Morris, Becky McKinley, Phil Worrall, and Andy Nicholson.; abstract: Indiana's Statewide Lidar data is produced at 1.5-meter average post spacing for all 92 Indiana Counties covering more than 36,420 square miles. New Lidar data was captured except where previously captured Lidar data exists, or the participating County bought-up to a higher resolution of 1.0-meter average post spacing Lidar data. Existing Lidar data exists for: Porter, Steuben, Noble, De Kalb, Allen, Madison, Delaware, Hendricks, Marion, Hancock, Morgan, Johnson, Shelby, Monroe, and portions of Vermillion, Parke, Vigo, Clay, Sullivan, Knox, Gibson, and Posey. These existing Lidar datasets were seamlessly integrated into this new statewide dataset. From this seamless Lidar product a statewide 5-foot post spacing hydro-flattened DEM product was created and is also available. See the FGDC Metadata provided for more details. This statewide project is divided into three geographic areas captured over a 3-year period (2011-2013):Area 1 (2011) Indiana central counties: St. Joseph, Elkhart, Starke, Marshall, Kosciusko, Pulaski, Fulton, Cass, Miami, Wabash, Carroll, Howard, Clinton, Tipton, Boone, Hendricks, Marion, Morgan, Johnson, Monroe, Brown, Bartholomew, Lawrence, Jackson, Orange, Washington, Crawford, and Harrison. Area 2 (2012) Indiana eastern counties: LaGrange, Steuben, Noble, DeKalb, Whitley, Allen, Huntington, Wells, Adams, Grant, Blackford, Jay, Hamilton, Madison, Delaware, Randolph, Hancock, Henry, Wayne, Shelby, Rush, Fayette, Union, Decatur, Franklin, Jennings, Ripley, Dearborn, Ohio, Scott, Jefferson, Switzerland, Clark, and Floyd. Area 3 (2013) Indiana western counties: Lake, Porter, LaPorte, Newton, Jasper, Benton, White, Warren, Tippecanoe, Fountain, Montgomery, Vermillion, Parke, Putnam, Vigo, Clay, Owen, Sullivan, Greene, Knox, Daviess, Martin, Gibson, Pike, Dubois, Posey, Vanderburgh, Warrick, Spencer, and Perry.Funders of OpenTopography Hosting of the Indiana Statewide Lidar and DEM data: USDA NRCS, Indiana, ISPLS Foundation, Indiana Geographic Information Office, Indiana Office of Technology, Indiana Geological Survey, Surdex Corporation, Vectren Energy Delivery, Indiana, Woolpert, Inc., and Individual IGIC Member Donations from Jim Stout, Jeff McCann, Cele Morris, Becky McKinley, Phil Worrall, and Andy Nicholson.