AI & Big Data Expert Needed for Crypto Filter Optimization (Backtesting) -- 2

@Muhammadzeesha59

Hello Sir/MAM I am a skilled full stack developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@bryson41

Hello Karoly, I am no auto-bidder, in fact I hate them and they are a complete waste of time. I’ve worked extensively in the crypto and blockchain space, utilizing AI and big data techniques to optimize trading strategies. My experience includes retrieving and analyzing large historical datasets, applying machine learning for pattern recognition, and translating complex findings into actionable insights. For your project, I would start by gathering historical trading data for the specified tokens across multiple chains and conducting a thorough analysis to uncover price movement patterns and on-chain activity insights. My goal is to provide you with a well-structured report detailing recommendations for optimizing your crypto filter based on these findings. What specific AI techniques do you envision using to evaluate trading patterns and logs? Thanks, Bryson

@webskittersIT

*100% Job Success | 200+ Projects | 7+ Years of Experience | 2000+ projects Please check my profile:https://www.freelancer.com/u/webskittersIT I am no auto-bidder; in fact, I hate them, and they are a complete waste of time. I can provide a detailed, AI-driven analysis to optimize your crypto filter across ETH, SOL, BSC, and BASE. My approach: **Retrieve and clean historical trading data from DEXs, CEXs, and on-chain activity **Apply AI/ML models for anomaly detection, pattern recognition, and price movement analysis **Identify key trading behaviors, wallet-level anomalies, and liquidity dynamics **Generate actionable recommendations for parameter adjustments to optimize your filter **Deliver a professional, structured report with clear insights and backtested conclusions Let’s start a chat now to discuss your filter, data access, and how I can enhance its performance using AI and big data techniques. Best regards, Atanu.S (SM)