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Ph.D.
(Computer Applications)
INVESTMENT STRATEGY PREDICTIVE MODEL BASED
ON TRADE PATTERNS

Ph.D. Scholar : Suthar Amitkumar Baldevbhai
Research Supervisor : Dr. Satyen M. Parikh

Regi. No.: 17146041003
Abstract :
Stock market prediction is an appealing activity that determines the future worth of a
company’s publicly traded stock. The efficient market hypothesis (EMH) posits that the
price of a stock represents all available information and that everyone has access to that
information to some degree. Trading on the stock market requires complete
concentration. It is important to consider the stock’s price, the impact of a purchase or
sell, and the trend analysis while making trading decisions. The stock market is extremely
dynamic and complex, and many factors can affect stock projections. Therefore, it
provides a chance to investigate if stock market prediction using technology applications
is feasible, particularly in computations. For this reason alone, creating a suitable
prediction model with an intelligent approach is necessary. Over the years, researchers
have worked hard to find better ways to predict the future. But how can we build a model
and put its rules into place so that it can make stock market predictions that are accurate,
efficient, and scalable? This has been the only goal of the research work, so a thorough
comparative analysis was done during the study to find the gaps so that an effective
model could be made.

A technical analyst is a stock researcher who examines investments based on past
market prices and technical indications. He analyses the market’s current state
considering historical stock price data using statistical models to predict its future
outcome. There are several available technical indicators that can be used to forecast
market movement and help the individual investor to design a better investment strategy.
A financial investment strategy is a set of regulations, behaviors, or procedures intended
to influence the selection of an investor’s investment portfolio. Individuals have diverse
profit objectives, and their unique skills necessitate the application of distinct approaches
and plans. In the present research, the researcher proposed two strategies based on “bulk
deal” and “volume” trade patterns to maximize the ROI. Every investor does not have
expertise to perform analytical study so these types of modeling is helpful to them to
increase the profit.

In the present study, the researcher has gathered historic data from the well reputed
Indian stock exchange NSE’s official portal to perform technical analysis. This study

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