Detect the spark before the flame.
EmberTrace identifies the earliest ignition signals across Solana — micro-keyword sparks, wallet clusters, metadata shifts, and pre-rotation heat.
What is EmberTrace?
EmberTrace is an early ignition detection engine for Solana.
It watches the smallest narrative signals before anyone calls it a trend:
- • micro-metadata shifts on new tokens
- • early wallet clusters forming around fresh narratives
- • rising keywords in token names, descriptions, and bios
- • pre-rotation capital flow and quiet liquidity drift
- • micro-sentiment pulses that never show on standard charts
EmberTrace is for traders who want to see the ember before the flame.
Core Capabilities
- • Ember Mapping — Detects low-level narrative sparks before visible price action.
- • Ignition Curves — Shows how small signals accelerate into full narrative momentum.
- • Cluster Radar — Spots emerging wallet groups quietly positioning early.
- • Keyword Heatboard — Surfaces rising terms across new tokens and metadata.
- • Pre-Rotation Signals — Highlights where attention and liquidity start to rotate.
- • Micro-Sentiment Scanner — Reads subtle tone shifts across the ecosystem.
EmberTrace turns scattered on-chain noise into a structured ignition map.
Ignition Framework
EmberTrace models market ignition in three phases:
1. Ember Formation
Tiny, fragmented signals: rare keywords, small clusters, subtle metadata changes, and quiet liquidity movement.
2. Spark Recognition
Convergence: repeated mentions, growing clusters, narrative reinforcement, and increasing on-chain alignment.
3. Ignition Mapping
Acceleration: attention flips from scattered to unified, momentum becomes visible, and early embers turn into full narrative flame.
The whitepaper details signal classification, detection thresholds, cluster topology, and multi-vector convergence scoring.