How Akiron Quantifies Market Edge

Three-Pillar Factor Architecture

Akiron's composite score is built on three independent signal pillars, each capturing a different dimension of market behavior. The pillars are combined using a proprietary weighting model calibrated for directional accuracy.

Technical Factor Model

The technical pillar evaluates price structure using a proprietary blend of indicators spanning multiple categories: trend, momentum, volume dynamics, risk-adjusted returns, price structure, and volatility regime.

Each indicator is normalized to a consistent scale so that no single metric can dominate. Category weights are calibrated to emphasize the most predictive signals while maintaining diversification across different market conditions.

• Trend & Momentum — Multi-timeframe moving average alignment, momentum oscillators, and signal crossover detection
• Volume & Volatility — Volume behavior analysis, compression detection, and anomaly scoring
• Risk & Structure — Risk-adjusted return metrics, key price level proximity, and overall market positioning

Smart Money Layer

Academic research consistently identifies informed trading activity as one of the strongest predictors of near-term equity returns. Akiron tracks two complementary sub-signals:

• Insider Transaction Patterns — SEC Form 4 filings for open-market buys and sells. Proprietary cluster logic detects when multiple insiders accumulate within compressed time windows, significantly amplifying the signal.
• Institutional Holdings — 13F filings from major hedge funds and institutional investors. Fund consensus is weighted and normalized to reflect conviction strength while accounting for the inherent lag in quarterly filings.

The two sub-signals are blended using proprietary weights that reflect their relative predictive power and timeliness.

Sentiment Engine

Akiron collects news from multiple financial sources and scores each article using a deep learning NLP model specifically fine-tuned for financial text comprehension.

• Polarity scoring — each article classified as positive, negative, or neutral with a model confidence score
• Adaptive dampening — signal strength is automatically scaled based on article volume to prevent low-coverage tickers from producing noisy signals
• Net aggregation — sentiment polarity is aggregated and normalized to produce a clean directional reading

This approach ensures that a single headline cannot swing the composite score — conviction comes from volume and agreement across sources.

Composite Scoring Model

All three pillars are combined into a single composite score using a proprietary weighting formula. Each pillar's weight reflects its historical predictive contribution and signal reliability.

The final composite score ranges from -100 (maximum bearish alignment across all factors) to +100 (maximum bullish alignment). Scores near zero indicate conflicting or neutral signals.

Decision Framework

Composite scores are mapped to five signal tiers using proprietary threshold boundaries. Each tier carries a suggested conviction level and trading horizon.

Akiron helps you:

• Identify structured entries when multiple factors align
• Avoid low-conviction setups when signals conflict
• Recognize trend exhaustion through cross-factor divergence
• Detect early accumulation via institutional activity patterns

Performance Accountability

Every signal Akiron generates is tracked forward. The system records the price at signal time, then measures actual returns at multiple horizons — benchmarked against SPY to isolate alpha from broad market moves.

The Signal Track Record on the dashboard shows aggregate win rates and average returns by signal type. This creates full transparency and allows continuous evaluation of signal quality over time.

No black box. No cherry-picked results. Every call is on the record.