Presentation on

“PRICE WITH DERIVATIVE CYCLE ALPHA”

(May option cycle)

Santhosh Kommirishetty

Experience Trader

1. Overview on the Functionality skill set needed for Financial Engineering and Algorithm Industry

2. May option cycle alpha Generated trades ( From April 13th to till date)

Overview on Financial Markets

. Financial Data is open ground for everyone Globally Multi Billion-dollar Fund to Small Retailers

. it’s the place of innovation, Research, and Technology driven on a real-time basis with strive to excel
to play the right strokes

. Financial Markets is open ground like Sports …..

. Transformation of Financial markets with technology-driven

Mathematical /statistical /machine learning model

This model are technology driven with explorative, advance , Micro visibility in nature, this works with same as taking a base layer of technical analysis…

Great minds with continuous innovation by working on different hypothesis models to find the best linearity …..

Technical Analysis & Advance Market Technician Models This is learned by on-screen front-end models, this as the The internal power of two aspects

This functionality can make the algorithm efficient and
keep out of mechanical moves, for the different
versatile objectives of algorithms

Price with Derivative cycle Alpha (May option cycle)

The alpha gives solutions for discovering future price of derivatives to visualize where there is large percentage of price move can be possible or where the price can land in next 10 to 12 session of markets , so that a trader can derive his trading decision

Derivative instruments traded with different versatile objective, this alpha confirmation can adaptable to all objective of Derivative instrument participation..

Nse Monthly options cycle, generally we will see mostly premiums will be high and started becoming active in both side of strike price before few days of new cycle starts , this premium will be active till contract traded two weeks ….

Technicality taken

4 data variables within larger data set, correlating those data point through Statistical tools and finding the linearity….

Out comes

1. Linear points

2. Confirmation signal

3. Projected Targets