• Kushal Patel
• Swarndeep Saket

Nowadays everyone is investing in the stock market. The stock market is daily stock buying or selling stocks. Stock market prices fluctuating are difficult to forecast. Prices are unpredictable and there is a huge risk of the investor to get maximum profit or loss of investment in stock market. Fundamental analysis based on real-time news, companies market value, balance sheet or growth, stock market index and others facts. Based on historical data through technical analysis will predict stock market apply the various machine learning mechanism to forecast stock market. Various mechanisms are support vector machine, predictive analysis, supervised machine learning algorithm, regression algorithm and etc. The proposed system forecast the stock prices and evaluate result with best accurate predictable prices. The objective is to improve in predictive performance of the stock market with the technical indicators and verifies targeted value of forecast with the comparison of machine learning mechanism. One year historical data apply three machine learning mechanism. Compare the forecast set value and confidence- accuracy. Accuracy find good at level. Analysis trend based on the graphs and getting idea about current and future market situation.

Stock market forecasting; Machine learning mechanism; Predictive Analysis; Predictable Price; Support Vector Machine

"Stock Market Forecast Analysis using Machine Learning Mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.384-392, April-2019, Available :http://www.jetir.org/papers/JETIR1904I65.pdf

"Stock Market Forecast Analysis using Machine Learning Mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp384-392, April-2019, Available at : http://www.jetir.org/papers/JETIR1904I65.pdf