Quantitative Crypto Researcher & Developer — Solana Wallet and Token Scoring

I’m looking for **one experienced quantitative researcher and developer** to build a wallet-ranking and token-scoring system for a Pump.fun trading bot. This role combines trading research, Solana data analysis, and backend development. You should be able to develop scoring methods, test whether they provide useful trading signals, and implement a reliable system. A detailed project specification is available. It contains proposed formulas and requirements, but the scoring approach needs research and validation. **What you will work on** - Collect and process historical and live Solana trading data for Pump.fun-origin tokens. - Reconstruct wallet positions, trading results, fees, and open losses accurately. - Develop wallet rankings using rolling 7-day and 14-day data, identifying the top 500–1,000 qualified wallets. - Identify launch sniping, coordinated bundles, related wallets, and artificial trading activity, while measuring uncertainty and false positives. - Develop token scores using participant quality, buying/selling pressure, liquidity, holder concentration, and creator activity. - Test whether these scores improve subsequent trading decisions after fees, slippage, and execution delays. - Implement live score updates, backend APIs, and clear explanations of scoring results. The initial scope covers research, data collection, scoring, historical replay, and paper-trading validation. **Required experience** - Strong Python programming and quantitative trading research skills. - Hands-on experience with Solana transactions, DEX data, and wallet analytics. - Experience building historical datasets and live data pipelines. - Understanding of backtesting, overfitting, future-data leakage, and execution costs. - Ability to evaluate your own assumptions and document what works, what fails, and why. You should be comfortable owning both the research and implementation. **Deliverables** Working source code, reproducible setup, documented scoring logic, historical evaluation results, live scoring APIs, and documentation covering data limitations and operating costs. **Please include in your proposal** 1. Relevant trading research or Solana analytics projects and your specific contribution. 2. An example of how you tested a strategy or signal on unseen data. 3. Your approach to obtaining reliable wallet data and detecting coordinated activity. 4. Your hourly rate, availability, and suggested initial paid task.