AI & Big Data Expert Needed for Crypto Filter Optimization (Backtesting) -- 2
Budget: $30 – $250 USD
We are looking for a highly skilled AI and Big Data expert with strong experience in the crypto and blockchain space to help us improve our crypto filter. Our filter currently covers ETH, SOL, BSC, and BASE, and we want to take it to the next level by leveraging historical data and AI-driven insights.
Your main task will be to:
- Retrieve and analyze historical trading data for crypto tokens across multiple chains.
- Apply AI and big data techniques to evaluate logs and trading patterns.
- Identify valuable conclusions and recommend parameter adjustments to optimize the filter.
Deliver a written report with clear recommendations on how to further improve the filter, based on:
- Historical data analysis
- Price movement patterns
- On-chain activity insights
- AI-driven recommendations
Requirements:
- Proven expertise in big data analysis (AI/ML, statistical modeling, anomaly detection).
- Strong familiarity with crypto and blockchain data (DEXs, CEXs, on-chain activity).
- Experience with retrieving and handling large historical datasets (trading logs, token activity, price feeds).
- Ability to translate complex findings into clear, actionable insights.
- Proven expertise in backtesting
- Access to HISTORICAL PRICE DATA
Flawless English—your final report must be well-structured and professional.
Bonus Skills:
- Experience analyzing wallet-level activity (e.g., large buys/sells, anomalies, deviations from averages).
- Knowledge of market-making behavior and liquidity pool dynamics.
- Familiarity with cross-chain trading patterns.
What we expect from you:
NO auto-bids. Please start your proposal with: "I am no auto-bidder, in fact I hate them and they are a complete waste of time.." IF NOT, your proposal will not be considered.
Provide references to relevant past projects in big data analysis, crypto, and blockchain. Tell us how you would approach the task in a structured way.
Deliverable:
A comprehensive written report with recommendations on how to optimize and improve our crypto filter.
If you are passionate about crypto, data-driven optimization, and cutting-edge AI analysis, we’d love to hear from you.
Your main task will be to:
- Retrieve and analyze historical trading data for crypto tokens across multiple chains.
- Apply AI and big data techniques to evaluate logs and trading patterns.
- Identify valuable conclusions and recommend parameter adjustments to optimize the filter.
Deliver a written report with clear recommendations on how to further improve the filter, based on:
- Historical data analysis
- Price movement patterns
- On-chain activity insights
- AI-driven recommendations
Requirements:
- Proven expertise in big data analysis (AI/ML, statistical modeling, anomaly detection).
- Strong familiarity with crypto and blockchain data (DEXs, CEXs, on-chain activity).
- Experience with retrieving and handling large historical datasets (trading logs, token activity, price feeds).
- Ability to translate complex findings into clear, actionable insights.
- Proven expertise in backtesting
- Access to HISTORICAL PRICE DATA
Flawless English—your final report must be well-structured and professional.
Bonus Skills:
- Experience analyzing wallet-level activity (e.g., large buys/sells, anomalies, deviations from averages).
- Knowledge of market-making behavior and liquidity pool dynamics.
- Familiarity with cross-chain trading patterns.
What we expect from you:
NO auto-bids. Please start your proposal with: "I am no auto-bidder, in fact I hate them and they are a complete waste of time.." IF NOT, your proposal will not be considered.
Provide references to relevant past projects in big data analysis, crypto, and blockchain. Tell us how you would approach the task in a structured way.
Deliverable:
A comprehensive written report with recommendations on how to optimize and improve our crypto filter.
If you are passionate about crypto, data-driven optimization, and cutting-edge AI analysis, we’d love to hear from you.