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<p>NEAT, RL, and DL techniques can be used in trading to automate decision-making and potentially improve performance. NEAT (NeuroEvolution of Augmenting Topologies) can evolve neural networks for trading strategies, according to Sciencedirect.com. RL (Reinforcement Learning) allows an agent to learn trading strategies through trial and error, maximizing rewards within the market environment, according to ScienceDirect.com. DL (Deep Learning) can be used for feature learning and making trading decisions based on dynamic market conditions. <br></p>
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