Презентация на тему Stock Market

decision making of the society

strategies we tested are significantly higher overall than returns

from the random strategies ( , R . US 5 0.60; t 5 8.65, df 5 97, p , 0.001, onesample t-test).
Assumptions: US users only, mouse click by a foreign Ip does not count
Moving Avg Baseline
Exponential Moving Avg
Jump to GTrends

Markets Using Google Trends. By Tobias Preis, Helen Susannah

Moat & H. Eugene Stanley, 25th April 2013
Google has begun to provide access to aggregated information on the volume of queries for different search terms and how these volumes change over time
Current state of the stock markets, but may have also been able to anticipate certain future trend. Analyze before buy or sell
We use Google Trends to determine how many searches n(t –1)have been carried out for a specific search term such as debt in week t– 1, where Google defines weeks as ending on a Sunday, relative to the total number of searches carried out on Google during that time.
HOLD relative less interest, BUY, SELL
WEEK TO WEEK
Decrease in search volume prompts us to buy, increase in search to sell
Specific search value terms pointing to buy/sell - Failed

much better than the randomn model. It is very

close to