The engine
behind the
signal.
Nova Engine turns raw market data into ranked, tracked and learnable setups. It scans, scores, compares, filters risk and feeds every result back into the intelligence loop.
From market noise to ranked intelligence.
Nova Engine is designed like a loop, not a one-time prediction. Each module adds context, removes weak setups and creates data the system can learn from.
Scanner finds candidates
The scanner looks for tradeable setups using momentum, trend structure, volume behavior, support/resistance and early setup quality.
Ranking separates signal from noise
Nova weights setup quality, confidence, regime alignment, probability, risk/reward and learning adjustments into one decision score.
Markov + regime adds context
A setup is not judged alone. Nova checks whether the current market state supports the idea before it becomes a stronger pick.
Tracking turns every pick into training data
Nova follows each pick across 24H, 48H, 7D, 14D and 30D while measuring max gain, max drawdown and alpha vs SPY.
One engine. Multiple checks before a pick gets attention.
The point is not to throw random tickers at users. The engine should explain why a setup appeared, what supported it, and what must be measured afterward.
The first filter that discovers potential market setups.
Combines multiple signals into a cleaner priority list.
Follows every pick so performance can be shown transparently.
Turns outcomes into better future weighting over time.
The engine is not magic.
It is process, tracking and learning.
Nova Engine is built to make every signal explainable and every outcome measurable. That is how trust gets earned.