A neural network scores 49 liquid crypto assets in real time across price action, momentum, social sentiment, and technical structure. Methodology published. All performance figures hypothetical.
Educational content — not financial advice. All performance figures shown are hypothetical and based on simulated trades. Crypto-asset markets are volatile; you can lose your entire investment.
Scores update on factor-specific cadences (technical: hourly · social: 4h · market: hourly) via SSE. What does composite score mean?
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Two strategies · one engine
Pick the horizon that matches your life.
Virtual Signal System · short horizon
Live neural network signals
Rule-based long signals fired from the composite score + trend filter. Watch them in real-time on the virtual engine, copy the rules, or just learn from the audit log.
Weekly dollar-cost-averaging into BTC with intelligent dip-buying triggered when price falls 10%+ below your weighted average. Positions tracked to the 12-month long-term hold threshold.
Binance WebSocket prices, on-chain indexers, sentiment APIs (Twitter / Reddit / Google Trends), and macro data — pulled on factor-specific cadences.
02
Score
Each factor z-scored against its own three-year history, weighted by the published methodology, combined into a composite 0–100 score.
03
Decide
An XGBoost entry classifier trained on outcome-labeled signals validates or down-weights the rule output. BUY / HOLD / EXIT published with confidence (no shorting).
04
Publish
SSE streams push score & signal updates to every client. Every entry, exit, and skipped trade is logged to a public history.