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Full Course: Beginner’s Guide to Develop a Robust Deep-Learning Ai for Stock or Crypto Trading
This is the Guide on how to Develop a Robust Deep-Learning Ai for cryptocurrency investing for beginners, explaining the use of recurrent neural networks (RNN) for price changes and a linear layer for technical indicators, and presents a code snippet for building the AI model using PyTorch.
How to customize your own indicators and get over 2x of your asset returns?
An example of a customized indicator strategy that significantly increased BTC returns during a long bullish trend is presented, want to know the backtest results and codes of the strategy?
PEPE Has Surged Over 7000% Max In 1-Month! Buy It or Sell It?
PEPEcoin gained over 7000% in 1-month and surged to over 1.6 billion dollar market cap. Is there still a chance to buy from the technical indicators?
Supertrend Makes 4x of Gain! How to Use It? How to Code and Calculate?
An author shared the SuperTrend strategy Python code for TradingView. So I decided to give it a try, breaking it down step by step and running some tests to see if it really works.
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