SolSniper

Overview

SolSniper detects new token mints on Solana, watches early growth patterns, and fuses price/volume data with X (Twitter) sentiment to generate trading signals and shortlist decisions.

Problem

Early-stage memecoin opportunities appear and disappear within hours. Manual tracking across multiple data sources (on-chain, social, price) is impossible at scale, leading to missed opportunities.

Solution

• Real-time Detection: Monitor Solana for new token mints
• Multi-signal Analysis: Price charts, volume patterns, liquidity depth
• Sentiment Fusion: X/Twitter mentions, engagement, and sentiment scoring
• Smart Alerts: Shortlist/ignore decisions based on heuristic scoring

Tech Stack

• Blockchain: Solana RPC + custom trackers for mint detection
• Data Storage: PostgreSQL + timeseries DB for price/volume history
• Social: Twitter API for mentions and sentiment
• Analysis: Python for signal processing and scoring algorithms
• Dashboards: Real-time visualization of opportunities

Features

• Sub-minute latency from mint to alert
• Multi-dimensional scoring (on-chain + social)
• Historical pattern matching for similar tokens
• Configurable alert thresholds
• Backtesting framework for strategy optimization

Status

Active development with real-time monitoring. Companion copy-trading app (SolSniperCopyTrader) in R&D phase for automated execution.