update1.txt

We have been explorative and found some possibilities of applications of AI.
After going through some papers and websites we noted that the concepts are not so abstract and are very comprihensive.

Possible applications of AI in stock markets.
	1) sentiment analysis 
	2)pattern recognisition for speculators and traders
	3)Portfolio selection for investors

Investment concepts:
There are two kinds of people involved in markets. 1) speculators ,2)investors
speculatios- 
	1)they choose to buy stocks based on patterns like fibonaci levels,head and shoulders and many others
	2)enterprising in natrure 
	3)pattern recognisation and sentment analysis might help these kind of people
investors-
	1)they buy stocks in long term perspective
	2)they look for parameters like price/earnings ,volume , earnings, revenues etc over the  past 5 or 10 years
	3)portfolio selection based on these parameters might help these kind of people





For any analysis to be done data is very essential and i felt the need for data acquisition and web scraping techniques.I can now 

	1)extract any text data,tables available online.Still working on scrapping histograms,picharts etc
	2)store dynamic data in real time

Data analytics techniques learnt:
 Techniques lilke principal componet analysis, Non negative matrix factorization 


NEURAL NETWORK CONCEPTS LEARNT:

Collect data to train.
studied various activation functions.
Learnt the concept of back propagation theorem.
Training the network.
Describing neuron with weights and given inputs.