Stock Market + Risk Management = College Paid
CSEF · 2015 Mathematics & Software
Overview
Objectives/Goals Within the financial markets, I am comparing momentum indicators with oscillating indicators. Then I created programs with multiple time frames to try to improve their results. Methods/Materials 1. Tradestation 2. Computer 3. Babypips.com I picked three indices and six indicators for the daily charts. After that I optimized the exit strategy with the 6 indicators from 2000 - 2005. Then I used those values from the optimization in charts from 2005 - 2015. Then I compared those results. Lastly I wrote programs applying multiple time frames trying to improve the previous results. Results On the Volatility Index, the Oscillating indicators did better, but on the trending markets such as the Bond Barkly Index and the NASDAQ, the Momentum Indicators outperformed the Oscillators. Also, when I applied the Multiple time frames, the programs did worse because the multiple time frames prevented the shorter term indicators from getting early entries. Conclusions/Discussion In conclusion I am very surprised that the indicators with the multiple time frames didn't do as well as the single time frame indicators. Also I would conclude from from these results the Momentum Indicators are better during the trending markets but the Oscillators do better during the non-trending markets.
Summary statement
I am comparing stock market indicators and trying to improve the results with multiple time frames.
Help received
None
Competition history
- CSEF 2015
Resources
Related projects
CSEF · 2005
A Proven Mathematical System for Predicting Future Stock Market Fluctuations
CSEF · 2004
Are You Making Money in the Stock Market? Juxtapositional Analysis of Money Flow vs. Momentum Indicator
CSEF · 2006
An Algorithm for Predicting Future Stock Market Fluctuations by Volatility and Arccosine Analysis
CSEF · 2015
Can You Beat the Market?
CSEF · 2017
Improving the Rationale for Stock Market Investments to Help Middle Income Households
CSEF · 2002
The Fibonacci Theory: The Key to Success in the Stock Market
CSEF · 2009
Global Shock: A Mathematical Model to Ascertain Correlation in Worldwide Stock Markets
CSEF · 2007
To Find a Generalized Equation to Determine a Stock's Optimal Trailing Stop Loss using Linear Regression
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: California Science & Engineering Fair public projects