Olmem Market Intelligence

Representative implementation pattern · private source protected

The scoring pattern returns both a numeric result and reason codes. That makes the dashboard explainable and gives the optional AI layer structured evidence to discuss.

type Signal = {
  score: number;
  reasons: string[];
};

export function scoreOpportunity(stock: Snapshot): Signal {
  let score = 50;
  const reasons: string[] = [];

  if (stock.trend > 80) {
    score += 15;
    reasons.push("long-term uptrend");
  }
  if (stock.pullbackQuality > 75) {
    score += 15;
    reasons.push("high-quality pullback");
  }
  if (stock.risk > 70) {
    score -= 20;
    reasons.push("elevated risk");
  }

  return { score: Math.max(0, Math.min(100, score)), reasons };
}