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f568a4f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 | /**
* Decision Explainer Engine
* Traces WHY each HOLD/BUY/SELL decision was made with human-readable reasoning
*/
import { unifiedBus } from './unifiedBus';
export type DecisionAction = 'BUY' | 'SELL' | 'HOLD';
export interface DecisionFactor {
name: string;
value: number;
threshold: number;
passed: boolean;
weight: number;
contribution: string;
}
export interface DecisionExplanation {
id: string;
timestamp: number;
action: DecisionAction;
confidence: number;
factors: DecisionFactor[];
reasoning: string[];
summary: string;
inputFrequency: number;
outputFrequency: number;
prismLevel: number;
waveState: string;
symbol: string;
}
export interface DecisionMetrics {
coherence: number;
lambda: number;
lighthouseL: number;
qgitaTier: number;
qgitaConfidence: number;
prismFrequency: number;
prismLevel: number;
waveState: string;
harmonicLock: boolean;
probabilityFused: number;
sentimentScore: number;
geometricAlignment: number;
}
class DecisionExplainerClass {
private explanations: DecisionExplanation[] = [];
private readonly maxHistory = 100;
private listeners: Set<(explanation: DecisionExplanation) => void> = new Set();
explain(metrics: DecisionMetrics, symbol: string = 'BTCUSDT'): DecisionExplanation {
const factors: DecisionFactor[] = [];
const reasoning: string[] = [];
// Factor 1: Coherence Check
const coherenceThreshold = 0.70;
const coherencePassed = metrics.coherence >= coherenceThreshold;
factors.push({
name: 'Coherence (Ξ)',
value: metrics.coherence,
threshold: coherenceThreshold,
passed: coherencePassed,
weight: 0.25,
contribution: coherencePassed ? 'SUPPORTS trade' : 'BLOCKS trade'
});
reasoning.push(
coherencePassed
? `β Coherence ${(metrics.coherence * 100).toFixed(1)}% exceeds ${coherenceThreshold * 100}% threshold`
: `β Coherence ${(metrics.coherence * 100).toFixed(1)}% below ${coherenceThreshold * 100}% threshold`
);
// Factor 2: Lighthouse Signal
const lighthouseThreshold = 0.5;
const lighthousePassed = metrics.lighthouseL >= lighthouseThreshold;
factors.push({
name: 'Lighthouse (L)',
value: metrics.lighthouseL,
threshold: lighthouseThreshold,
passed: lighthousePassed,
weight: 0.20,
contribution: lighthousePassed ? 'SUPPORTS trade' : 'NEUTRAL'
});
reasoning.push(
lighthousePassed
? `β Lighthouse signal ${metrics.lighthouseL.toFixed(3)} indicates opportunity`
: `β Lighthouse signal ${metrics.lighthouseL.toFixed(3)} is neutral`
);
// Factor 3: QGITA Tier
const qgitaTierThreshold = 2;
const qgitaPassed = metrics.qgitaTier <= qgitaTierThreshold && metrics.qgitaTier > 0;
factors.push({
name: 'QGITA Tier',
value: metrics.qgitaTier,
threshold: qgitaTierThreshold,
passed: qgitaPassed,
weight: 0.20,
contribution: qgitaPassed ? `Tier ${metrics.qgitaTier} SUPPORTS` : 'LOW confidence'
});
reasoning.push(
qgitaPassed
? `β QGITA Tier ${metrics.qgitaTier} with ${(metrics.qgitaConfidence * 100).toFixed(0)}% confidence`
: `β QGITA Tier ${metrics.qgitaTier} insufficient (need Tier 1-2)`
);
// Factor 4: Prism Frequency Lock
const prismLockThreshold = 500; // Near 528 Hz love frequency
const prismLocked = metrics.prismFrequency >= prismLockThreshold && metrics.prismLevel >= 4;
factors.push({
name: 'Prism Lock',
value: metrics.prismFrequency,
threshold: prismLockThreshold,
passed: prismLocked,
weight: 0.15,
contribution: prismLocked ? '528Hz ALIGNED' : 'FORMING'
});
reasoning.push(
prismLocked
? `β Prism at ${metrics.prismFrequency.toFixed(0)}Hz (Level ${metrics.prismLevel}) - 528Hz lock`
: `β Prism at ${metrics.prismFrequency.toFixed(0)}Hz (Level ${metrics.prismLevel}) - transforming`
);
// Factor 5: 6D Wave State
const bullishStates = ['ACCUMULATION', 'MARKUP', 'BULLISH'];
const bearishStates = ['DISTRIBUTION', 'MARKDOWN', 'BEARISH'];
const isBullish = bullishStates.includes(metrics.waveState.toUpperCase());
const isBearish = bearishStates.includes(metrics.waveState.toUpperCase());
factors.push({
name: '6D Wave State',
value: isBullish ? 1 : isBearish ? -1 : 0,
threshold: 0,
passed: isBullish || isBearish,
weight: 0.10,
contribution: isBullish ? 'BULLISH' : isBearish ? 'BEARISH' : 'NEUTRAL'
});
reasoning.push(
`β 6D Wave State: ${metrics.waveState} (${isBullish ? 'bullish' : isBearish ? 'bearish' : 'neutral'})`
);
// Factor 6: Harmonic Lock
factors.push({
name: 'Harmonic Lock',
value: metrics.harmonicLock ? 1 : 0,
threshold: 1,
passed: metrics.harmonicLock,
weight: 0.10,
contribution: metrics.harmonicLock ? 'LOCKED' : 'UNLOCKED'
});
reasoning.push(
metrics.harmonicLock
? `β Harmonic lock ACTIVE - enhanced confidence`
: `β Harmonic lock inactive`
);
// Calculate weighted decision
let buyScore = 0;
let sellScore = 0;
// Coherence and Lighthouse must pass for any trade
const canTrade = coherencePassed;
if (canTrade) {
// Direction from wave state and sentiment
if (isBullish || metrics.sentimentScore > 0.1) {
buyScore += 0.4;
}
if (isBearish || metrics.sentimentScore < -0.1) {
sellScore += 0.4;
}
// QGITA confidence boost
if (qgitaPassed) {
const boost = metrics.qgitaConfidence * 0.3;
if (metrics.probabilityFused > 0.5) buyScore += boost;
else if (metrics.probabilityFused < 0.5) sellScore += boost;
}
// Prism lock boost
if (prismLocked) {
buyScore += 0.15;
}
// Harmonic lock boost
if (metrics.harmonicLock) {
if (buyScore > sellScore) buyScore += 0.1;
else if (sellScore > buyScore) sellScore += 0.1;
}
}
// Determine action
let action: DecisionAction = 'HOLD';
let confidence = 0;
if (!canTrade) {
action = 'HOLD';
confidence = 1 - metrics.coherence; // High confidence in holding when coherence is low
reasoning.push(`β HOLD: Coherence below threshold - waiting for field alignment`);
} else if (buyScore > sellScore && buyScore > 0.3) {
action = 'BUY';
confidence = Math.min(0.95, buyScore + (metrics.harmonicLock ? 0.1 : 0));
reasoning.push(`β BUY: Score ${(buyScore * 100).toFixed(0)}% > ${(sellScore * 100).toFixed(0)}%`);
} else if (sellScore > buyScore && sellScore > 0.3) {
action = 'SELL';
confidence = Math.min(0.95, sellScore + (metrics.harmonicLock ? 0.1 : 0));
reasoning.push(`β SELL: Score ${(sellScore * 100).toFixed(0)}% > ${(buyScore * 100).toFixed(0)}%`);
} else {
action = 'HOLD';
confidence = 0.5;
reasoning.push(`β HOLD: No clear direction (buy: ${(buyScore * 100).toFixed(0)}%, sell: ${(sellScore * 100).toFixed(0)}%)`);
}
// Build summary
const summary = this.buildSummary(action, confidence, factors);
const explanation: DecisionExplanation = {
id: `decision-${Date.now()}-${crypto.randomUUID()}`,
timestamp: Date.now(),
action,
confidence,
factors,
reasoning,
summary,
inputFrequency: metrics.prismFrequency * 0.8, // Approximate input
outputFrequency: metrics.prismFrequency,
prismLevel: metrics.prismLevel,
waveState: metrics.waveState,
symbol
};
// Store and notify
this.explanations.unshift(explanation);
if (this.explanations.length > this.maxHistory) {
this.explanations.pop();
}
// Publish to bus
unifiedBus.publish({
systemName: 'DecisionExplainer',
timestamp: Date.now(),
ready: true,
coherence: confidence,
confidence,
signal: action === 'BUY' ? 'BUY' : action === 'SELL' ? 'SELL' : 'NEUTRAL',
data: { explanation }
});
// Notify listeners
this.listeners.forEach(listener => listener(explanation));
return explanation;
}
private buildSummary(action: DecisionAction, confidence: number, factors: DecisionFactor[]): string {
const passedFactors = factors.filter(f => f.passed).length;
const totalFactors = factors.length;
if (action === 'BUY') {
return `BUY signal with ${(confidence * 100).toFixed(0)}% confidence. ${passedFactors}/${totalFactors} factors aligned for long entry.`;
} else if (action === 'SELL') {
return `SELL signal with ${(confidence * 100).toFixed(0)}% confidence. ${passedFactors}/${totalFactors} factors aligned for short/exit.`;
} else {
return `HOLD - waiting for better conditions. ${passedFactors}/${totalFactors} factors aligned. Need stronger signal clarity.`;
}
}
getExplanations(): DecisionExplanation[] {
return [...this.explanations];
}
getLatest(): DecisionExplanation | null {
return this.explanations[0] || null;
}
subscribe(listener: (explanation: DecisionExplanation) => void): () => void {
this.listeners.add(listener);
return () => this.listeners.delete(listener);
}
clear(): void {
this.explanations = [];
}
}
export const decisionExplainer = new DecisionExplainerClass();
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