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* **Identify FVGs Correctly:** Use the three-candle rule and look for the gaps.
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* Can include photos, videos, and audio recordings.
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Of course, there are also some **challenges** and exciting **future trends**. One major challenge is *bias and fairness*. Generative AI models are trained on data, and if the data contains biases, the models will likely perpetuate those biases. This can lead to unfair or discriminatory outputs. Another challenge is *ethical considerations*. As AI becomes more powerful, it raises ethical concerns about ownership, copyright, and the potential misuse of the technology. Also, *computational resources*. Training generative AI models can be computationally expensive, requiring significant hardware and energy. This can limit access to these technologies and raise environmental concerns. Moreover, *interpretability*. Understanding how generative AI models make decisions can be difficult, which can hinder trust and adoption. Finally, *the spread of misinformation*. Generative AI can be used to create realistic fake content, which can be used to spread misinformation and manipulate public opinion.
