INTRODUCTIONInsider trading recommendation is an important source of information in the financial market. The important aspect of insider is that private and confidential information about the future prospector of their firm that outsiders do not have.RESEARCH PROBLEMThe main problem is grouping stocks based on the future estimate (consumer rating) without controlling for the impact of the number of analysts unavoidable results in the most and heart favoured portfolios with how coverage stock i.e. small stocks. The approach seems to have their problem.LITERATURE REVIEW The insider trading literature insiders are less active in buying high momentum in stocks (stocks that have experienced) high returns than how momentum stocks. Irrespective of the momentum groups insiders tend to buy substantially mere of unfavourably than favourably recommended stocks or buy more of those with downgrade than upgrade.RESEARCH METHODThe method favoured by this research is regression.Time series average regression coefficients for seven different specification models with heteroskedastic and auto correlation consistent standard errors adjusted t-statistics in parenthesesFINDINGSOur findings indicate that Net Insider Sells contain no significant information while No insider Trades underperform both the market and the characteristic benchmarks. The overall findings are generally in accord with those documented in the insider trading literature. The change in insider trading highlight different informational signals which results the Net Insider Buys portfolios that corporate insiders have timed their investments perfectly.