Stock Market Prediction using Darvas Box Technique
Journal:
GRENZE International Journal of Engineering and Technology
Authors:
Chandrashekhar H. Patil, Mandar Parale, Ninad S. Zanje, Karan Nadkarni, S. M. Mali
Volume:
10
Issue:
2
Grenze ID:
01.GIJET.10.2.545_1
Pages:
976-980
Abstract
The reason behind this paper is to showcase an attempt to create an algorithm that
will implement the Darvas Box strategy and automatically identify profitable stocks. In
addition, it will also recommend a stop loss order to the user so that he/she procures minimum
loss. Our datasets consist of 3 month daily company-wise historical data for companies featured
on the NSE 52 week high list. Our datasets have been gathered with a particular focus on the
following features: Last Traded Price (LTP) and the volume of the stocks traded. The algorithm
is particularly targeted towards short to medium term delivery trading. The algorithm works
best when the analysis is done once the market closes. This is purely based on technical analysis
of the stocks. To counter the unforeseen changes due to uncontrollable circumstances there is a
stop loss applied to each stock that follows the pattern so as to minimize the losses occurred
during the trades.