Retail FX trader survey results

Davison, C. ORCID: 0000-0001-6965-4617, 2016. Retail FX trader survey results. Working Paper. Rochester, NY: Social Science Research Network.

[img]
Preview
Text
5880_Davison.pdf - Published version

Download (432kB) | Preview

Abstract

Between the 29th November 2015 and 25th April 2016, 133 Retail FX traders responded to a request to take part in an anonymous online survey, which asked 14 questions about the way they trade. The purpose of the survey was to inform research looking at effective ways to help improve the profitability and reduce the risk of the Retail FX trader. Over fifty percent of the respondents stated they had been trading for more than four years. The survey found that more than half of the traders had experienced account-closing losses with nearly 40% have experienced this at least twice. The most common cause of these losses were the use of trades sizes that were too large, with nearly half of all traders stating this was the cause of their worst trade. Additional ‘worst trade’ factors were identified as allowing losing trades to run for too long and the lack of automated stop loss levels. Less than a quarter of traders identified their ‘system’ as being the cause of either their best or worst trades, with ‘best’ trades being attributed to significant market moves over 40% of the time closely followed by allowing winning trades to run for a long time. Only a third of traders said they regularly checked the bid-ask spread before placing a trade with only a quarter ever checking the interest swap charges, despite nearly half of all traders saying they kept trades open overnight. When asked what single area a trader would like to improve, most traders focused on physiological issues rather than system ones. The purpose of this paper is to share these results with the Retail Trader community and to seek further input as to the best way to help address some of the identified issues.

Item Type: Working paper
Creators: Davison, C.
Publisher: Social Science Research Network
Place of Publication: Rochester, NY
Date: 15 June 2016
ISSN: 1556-5068
Identifiers:
NumberType
2795927Other
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 23 Aug 2016 13:22
Last Modified: 09 Jun 2017 14:05
URI: http://irep.ntu.ac.uk/id/eprint/28350

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year