I wondered if you could possibly help me with the below.
We have a trading strategy that, from initial testing, is showing 92% accuracy, and we’re looking for someone to help take it further. The task involves collecting and preprocessing market data (price, volume, technical indicators, sentiment, and fundamental data) to improve the bot using AI, ML, DL, RL, and neural networks. This includes gathering historical and real-time data, feature engineering, normalizing, and setting up a system for backtesting and optimization. If you know anyone that has experience in these areas and can help us optimize the bot, please let me know!
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