Not logged in.

Contribution Details

Type Master's Thesis
Scope Discipline-based scholarship
Title Optimal Stop Loss Placement for Intraday Futures Trading
Organization Unit
Authors
  • Mukundhan Jayaraman
Supervisors
  • Erich Walter Farkas
  • Patrick Matei Lucescu
Language
  • English
Institution University of Zurich
Faculty Faculty of Business, Economics and Informatics
Date 2022
Abstract Text This thesis studies the behaviour of three types of Stop Losses - Point based, Percent based & Trailing Based. To simulate different trading strategies, five Technical Indicators are used to generate buy and sell signals. To capture a range of risk appetites, 3 risk reward ratios are used to fix the take profit thresholds across different stop loss values. The simulations are performed on the E Mini S&P 500 Futures and the results are analyzed based on 4 different metrics. Finally, we answer the following questions: is stop loss a useful technique in the intraday horizon? Which stop loss technique is better suited for this? Does an optimal stop loss exist?
Export BibTeX