• Aniket Madhukar Suradkar
• Prashant Pal

Stock market has been constant fascinating topic but since last few years stockholders desire to hardback return on day to day basis got glorified , then with the support of machine learning stockholders initiate stress-free approaches to get squint of forthcoming market trends. This paper benevolences LSTM grounded methodology to forecast the characteristics of a specific stock, our method put greater concentration on sets of hundred days moving averages. Hundred days moving average is a technical method followed by the stock market professionals to forecast the forthcoming trends of market, which represents the current as well as the characteristics which is stock going to show in upcoming days. As we are scraping data with the API and creating our own dataset hence our method is comfortable with ambiguous data besides it provides output with high accuracy. The results indicates that our method attained superior upshot than other approaches.

LSTM (long and short term memory ), API (Application program interface), machine learning, Hundred days moving average, market trends.

"Forecast The Characteristics Of A Stock", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.d773-d779, June-2022, Available :http://www.jetir.org/papers/JETIR2206395.pdf

"Forecast The Characteristics Of A Stock", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppd773-d779, June-2022, Available at : http://www.jetir.org/papers/JETIR2206395.pdf