• Ritwik Budhiraja
• Nikki Goel
• Parul Bhardwaj
• Ashish Sharma

Indicators have always been essential to stock trading. They can be used to predict the behaviour of the stock market. Our goal is to maximize cumulative profit after brokerage using trading indicators in a fully automated algorithm. This model uses the concept of moving averages in which cross-overs are used as indicators to generate profit. By applying these indicators to the past three months' data, we formulated an algorithm with optimum parameters. The algorithm takes price averages at every minute for the past nine and twenty-one minutes, based on which a decision is made: to buy or to sell a particular stock at a particular time and price. The trading done at any moment is strictly limited to a volume equal to 1. The total sum of cumulative profit after brokerage for the period 1st June to 1st September for the company, Reliance, was calculated to be ₹93.80.

Stock market; moving average; stop loss; buffer value; crossover; golden cross; dead cross; automated

"Automated Stock Trading Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.480-485, November-2020, Available :http://www.jetir.org/papers/JETIR2011355.pdf

"Automated Stock Trading Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp480-485, November-2020, Available at : http://www.jetir.org/papers/JETIR2011355.pdf