Market Pulse Transparency

What It Measures

Market Pulse is the cross-timeframe consensus score for directional bias. It combines 1W, 1D, and 4H engine outputs into one weighted bull/bear percentage, then maps that spread to sentiment and conviction.

Inputs

Required runtime inputs:

• Per-timeframe engine probability pairs: bull_prob and bear_prob.
• Global weighting mode and presets (global_weight_mode, global_weights).
• Quality multipliers from hierarchy validity, pattern score, and decisiveness.
• Light additive overlays from Channels and Ichimoku with hard caps.

Active config values for this run:

• global_weight_mode: macro-first
• global_confidence_adjusted: true
• global_weights: null
• global_weight_presets: null
• ch_light_global_weight: {"1d": 0.07, "1w": 0.08, "4h": 0.05}
• ch_min_confidence_to_display: 0.35
• ich_light_global_weight: {"1d": 0.06, "1w": 0.07, "4h": 0.04}
• ich_min_confidence_to_display: 0.35

Calculation Pipeline

1. Resolve base timeframe weights from preset or custom values and normalize to sum = 1.
2. Compute quality multiplier q(tf) per timeframe.
3. If enabled, multiply base weights by quality and re-normalize to effective weights.
4. Compute weighted bull and bear raw totals from per-timeframe probabilities.
5. Apply Channels additive delta with cap [-5, +5] points.
6. Apply Ichimoku additive delta with cap [-5, +5] points.
7. Clamp final bull score to [0,100], set bear as 100 - bull.
8. Map bull-bear spread to sentiment and conviction labels.

Formulas & Rules

base_weights = normalize(mode/preset/custom)
quality(tf) = clip(1.0 + hierarchy_term + pattern_term + decisiveness_term, 0.55, 1.35)
effective_weights(tf) = normalize(base_weights(tf) * quality(tf))  # when confidence-adjusted

bull_raw = Σ_tf [effective_weights(tf) * bull_prob(tf)]
bear_raw = Σ_tf [effective_weights(tf) * bear_prob(tf)]

ch_adjust = clip(Σ_tf [ch_weight(tf) * (ch_bull_ratio(tf) - 50)], -5, +5)
ich_adjust = clip(Σ_tf [ich_weight(tf) * (ich_bull_ratio(tf) - 50)], -5, +5)

bull_final = clip(round(bull_raw + ch_adjust + ich_adjust), 0, 100)
bear_final = 100 - bull_final

delta = bull_final - bear_final
sentiment: Bullish if delta >= 6; Bearish if delta <= -6; else Neutral
conviction: Strong if |delta| >= 30; Moderate if >= 15; else Mixed

Live Worked Example

Failure / Fallback Behavior

• If no valid timeframe rows exist, output defaults to Bull 50 / Bear 50 and Neutral / Mixed.
• If weighted totals are invalid or zero, score is neutralized to 50/50.
• CH and ICH additive contributions are bounded to prevent override of primary engines.
• Low-confidence CH/ICH rows are ignored via confidence floor config.

Interpretation Notes

Market Pulse is a risk-state meter, not a standalone execution trigger. Use it with invalidation levels and per-engine structure context. Strong conviction indicates broad alignment; Mixed indicates transition or conflict across timeframes.