RNN-stocks-prediction
Unverified ML strategy on Indices by personal-coding. BotFinder score 18 out of 100.
EUR/USD Binary Options Predictions: Using Deep Learning and Random Forest.
Source: github
BotFinder analysis pending.
RNN-stocks-prediction
Predicting EUR/USD Binary Options Using Deep Learning and Random Forest: A Comparative Study Introduction: This study aims to predict EUR/USD binary options using deep learning and random forest models, and explore the challenges and strategies for improving the accuracy of these models. The study uses live data from Dukascopy, and builds upon the work of SolbiatiAlessandro, who used a recurrent neural network (RNN) to predict EUR/USD binary options on a Dukascopy demo account. The original code faced issues with scraping live data and executing trades accurately. To overcome these issues, the study proposes a new framework for pulling live data from Dukascopy at the end of each minute, and executing trades within 1-2 seconds of a minute finishing. Methodology: The study uses a comparative approach to test ten instruments, including EUR/USD, EUR/JPY, EUR/GBP, EUR/CAD, EUR/CHF, XAU/USD, XAG/USD, EUR/HKD, USD/CNH, and EUR/SGD. Two models were tested, including a random forest and an LSTM model. The models were trained on minute data from April 1, 2020, to the present, and tested live f
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