HyOrc Corp
Nightly quant signals for HyOrc Corp
Ticker
HYOR
Coverage
2018–present
Update frequency
Nightly
Signal types
5
About HYOR Quant Signals
VectorFin computes five quant signal families for HyOrc Corp every night using data from public sources (price, volume, SEC filings) and derived AI signals (earnings call embeddings). All signals are bitemporal — each row carries effective_ts (data date) and knowledge_ts (when VectorFin computed it), enabling accurate point-in-time backtesting without look-ahead bias.
Available signals
Regime
GET /v1/signals/HYOR/regimeMarket regime classification: bull, bear, neutral, or volatile. Updated nightly using a Hidden Markov Model trained on price, volume, and options data.
Volatility
GET /v1/signals/HYOR/volatilityGARCH-based volatility forecasts at 1-day, 5-day, and 21-day horizons. Annualized realized volatility included for backtesting.
Sentiment Drift
GET /v1/signals/HYOR/sentiment_driftEarnings call sentiment drift vector measuring how the tone and topics of management commentary have shifted across quarters. Computed from earnings call embeddings.
Anomaly
GET /v1/signals/HYOR/anomalyMulti-factor anomaly detection flagging unusual price behavior, volume spikes, options activity, or earnings language patterns. Score 0–1, higher = more anomalous.
WhyStock Score
GET /v1/signals/HYOR/scoreComposite quant ranking from 0–100. Aggregates regime, volatility, sentiment, and anomaly signals into a single actionable score for portfolio construction.
Access via API
# Fetch all HYOR signals for the past 30 days
curl https://api.vectorfinancials.com/v1/signals/HYOR \
-H "X-API-Key: vf_sk_your_key_here" \
-G \
-d "from=2025-01-01" \
-d "to=2025-01-31"
# Or batch signals for multiple tickers
curl https://api.vectorfinancials.com/v1/signals/batch \
-H "X-API-Key: vf_sk_your_key_here" \
-H "Content-Type: application/json" \
-d '{"tickers": ["HYOR", "MSFT", "GOOGL"], "date": "2025-01-31"}'Access HYOR signals in your pipeline
Free tier covers top 100 tickers. Pro plan delivers via Snowflake or BigQuery Iceberg.