Forum Discussion
Using Neural Network to Learn Profitable Trading in the FOREX Markets
I am using Neural Networks (NN) to teach them how to recognize profitable trading opportunities in the Foreign Exchange (FOREX) markets, using 10 currencies simultaneously.
I am using 3rd-order Cubic Splines as input to give the NNs a sense of how the critical variables change over time.
I am using free FOREX historical trading data to train the NNs how to trade profitably in the future.
I don't just feed the trading levels of the FOREX currency pairs as input to the NNs. Instead, I use a variation of the computed DXY Index for all 10 currencies in order to isolate the value change of each of the individual currencies, using Cubic Splines to detail how those values change over various time periods.
The end result is Neural Networks that recognize which currencies to Buy and which ones to Sell at the most profitable times.
If anyone is interested in the details, please reach out and I will provide more details.
3 Replies
Your approach to using Neural Networks in Forex trading is innovative. Utilizing 3rd-order Cubic Splines to provide temporal context to critical variables is a thoughtful approach. It's essential to ensure the quality and relevance of the historical data used for training. Additionally, implementing robust risk management strategies and continuously monitoring the model's performance in a live trading environment are crucial steps. Consider exploring ensemble methods or incorporating additional features to enhance the model's predictive capabilities. Keep up the great work!
Your approach to using Neural Networks in Forex trading is intriguing. It's important to consider the complexity and volatility of the Forex market. Incorporating risk management strategies and continuously monitoring the model's performance are crucial. Also, exploring ensemble methods or combining different models may enhance the robustness of the trading strategy. Keep innovating and refining your approach!
Your approach to using Neural Networks to recognize profitable trading opportunities in the FOREX markets is interesting. Utilizing historical trading data and the DXY Index variation to train the Neural Networks is a novel way to identify profitable trades. It's great to see innovative applications of AI in the financial sector. Keep up the good work!
