This ebook constains a trading strategy that trains a Deep Neural-Network on Crude oil market data and the performance of the model is validated on the test set. The true performance of the model is assessed by looking at the resulting equity curve. The strategy can generate 200 to 500% return when utilised for live trading. This strategy can be used for stocks, forex and futures trading.
This ebook constains Python codes with explanations. Beside the ebook, you get a jupyther notebook file with the full code.
Disclaimer: These digital materials are for educational purpose and do not constitute trading or investment advice. All content, teaching material and codes are presented with sharing and learning purpose and with no guarantee of exactness or completeness. No past performance is indicative of future performance and the trading strategies presented here are based on hypothetical and historical backtesting. Trading futures, forex and options involves the risk of loss. Please consider carefully if trading is appropriate to your financial situation. Only risk capital you can afford to lose, and the risk of loss being substantial, you should consider carefully the inherent risks.