دانلود مقاله ISI انگلیسی شماره 101242
ترجمه فارسی عنوان مقاله

یک قانون تجارت پویا مبتنی بر شناسایی الگو فیلتر شده برای پیش بینی قیمت سهام است

عنوان انگلیسی
A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
101242 2017 33 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 81, 15 September 2017, Pages 177-192

ترجمه کلمات کلیدی
بازارهای مالی، تجزیه و تحلیل فنی، الگوی نمودار، میانگین متحرک نمایشی، سیستم معاملاتی، تجارت خودکار،
کلمات کلیدی انگلیسی
Financial markets; Technical analysis; Chart pattern; Exponential moving average; Trading system; Automatic trading;
پیش نمایش مقاله
پیش نمایش مقاله  یک قانون تجارت پویا مبتنی بر شناسایی الگو فیلتر شده برای پیش بینی قیمت سهام است

چکیده انگلیسی

In this paper we propose and validate a trading rule based on flag pattern recognition, incorporating important innovations with respect to the previous research. Firstly, we propose a dynamic window scheme that allows the stop loss and take profit to be updated on a quarterly basis. In addition, since the flag pattern is a trend-following pattern, we have added the EMA indicator to filter trades. This technical analysis indicator is calculated both for 15-min and 1-day timeframes, which enables short and medium terms to be considered simultaneously. We also filter the flags according to the price range on which they are developed and have limited the maximum loss of each trade to 100 points. The proposed methodology was applied to 91,309 intraday observations of the DJIA index, considerably improving the results obtained in the previous proposals and those obtained by the buy & hold strategy, both for profitability and risk, and also after taking into account the transaction costs. These results seem to challenge market efficiency in line with other similar studies, in the specific analysis carried out on the DJIA index and is also limited to the setup considered.