From NOMFET physics to a signal

Nomentum is inspired by the NOMFET (Nanoparticle Organic Memory Field-Effect Transistor), a device whose conductance changes with input spikes and decays over time. Two decay channels model short-term facilitation and long-term persistence: a fast state \(G_f\) (reactivity) and a slow state \(G_s\) (trend memory). Incoming buy/sell events act like spikes: buys tend to facilitate (increase \(G\)), sells to depress it. Between spikes, both states relax with different time constants.

We approximate the device behavior with a dual-decay synapse: \(G_\mathrm{syn} = 0.6\,G_f + 0.4\,G_s\), with spike-dependent updates modulated by recent momentum (short bursts weigh more when momentum aligns). This yields a smooth but responsive “neural” state that tracks micro-impulses without overreacting to noise.

Live pipeline (Alpha)

1. Contract pairing. You paste a Solana contract. We resolve the most liquid pair and open a LIVE stream.
2. Spike generation. Short-horizon buy/sell deltas and price changes produce discrete events (spikes) plus soft drifts (micro-impulses).
3. Neuromorphic update. Each spike updates \(G_f,G_s\) (facilitation/depression). Between spikes, both decay exponentially (fast reacts, slow persists).
4. Multi-timeframe momentum. We blend 5-min, 15-min, 1-h and daily momentum into a normalized factor \(M\).
5. Score. The trading score is \( \mathrm{score} = 0.55\,G_\mathrm{syn} + 0.35\,M - 0.10\,\mathrm{risk} \), shown in the ring HUD and used for the optional entry/avoid hints.

Because the synapse retains memory, the signal improves over time as it adapts its baselines to the token’s liquidity and volatility regime.

What Alpha is (and is not)

• Exploratory, presentation-grade. Alpha lets you follow a token live, understand impulse context, and judge buy/sell timing.
• No wallet actions. It does not execute trades; it’s a real-time signal preview to support your manual decision.
• Improves with runtime. Longer sessions stabilize \(G_f,G_s\) around the token’s microstructure: fewer false spikes, clearer regimes.

Neuromorphic Architecture

Inspired by organic synaptic transistors, Nomentum processes buy/sell flows as electrical spikes that modulate synaptic conductance through dual exponential decay - fast for immediate reactions, slow for trend persistence.

Multi-Scale Intelligence

Integrates microsecond microstructure with macro trends, weighting timeframes from 5-minute momentum to monthly cycles. Each timeframe contributes proportionally to create a comprehensive market signal.

Adaptive Resonance

Continuously learns from each token's unique behavior patterns. Liquidity conditions stretch decay constants, momentum modulates learning rates, and volatility adds natural noise - all automatically calibrated.