Crypto Pump Prediction System

Project Introduction Project Proposal: We are seeking an experienced algorithmic trading development company to build a predictive model for identifying crypto market "pump" signals that meet strict performance criteria. --- Project Scope and Overview Objective Develop an automated system capable of predicting short-term price pumps with: ≥15% gains within 24 hours ≤3% retracement from the entry price Use Case The model will generate signals for algorithmic trading execution. Existing Resources A pre-defined cryptocurrency watchlist will be provided upon engagement. Budget $50,000 USD (milestone-based payments) Test Phase Execution of 30 live trades with real capital to validate the system’s performance. --- Key Requirements and Criteria Prediction Criteria Minimum 15% upward movement within a 24-hour window Maximum 3% retracement from entry price Signals must be generated from our provided watchlist Trading System Specifications Algorithmic Trading Integration Automated trade execution via Binance, Bybit, OKX API Built-in risk management (stop-loss, position sizing) Real-time performance tracking dashboard Testing and Validation Test Phase Protocol 30 consecutive live trades with real funds Minimum 82% accuracy rate required during testing Full transparency on trade logs & decision metrics --- Model Requirements Model Development Must incorporate both technical analysis and on-chain data Machine Learning / Deep Learning architecture preferred Backtesting validation across multiple market cycles --- Team Qualifications Company Qualifications Proven experience in crypto algorithmic trading systems Portfolio of successful prediction models (provide non-sensitive case studies) Expertise in Python / ML frameworks (TensorFlow, PyTorch) Familiarity with exchange APIs and low-latency execution --- Budget and Timeline Payment Structure 50% payment after receiving and validating core algorithm 20% payment upon completion of 30-trade live test phase Remaining 30% paid in milestones: 10% upon finalizing API integration for automated trading 10% upon successful backtesting across different market conditions 10% upon final project approval and deployment Expected Timeline 8-12 weeks from project kickoff --- Project Evaluation Criteria Evaluation Metrics Accuracy Rate: Minimum 82% in live trading Risk-Adjusted Return: Sharpe Ratio >3 Maximum Drawdown: