Trading Terms Glossary

The high-conviction trading window before and after market-moving events where pricing inefficiencies are most likely. Vixr focuses exclusively on this 0-3 day period because markets take time to interpret language, guidance, and context — not just numbers. This is where mispricing, overreaction, and delayed correction occur most frequently.

A probability score derived from comparable historical events that indicates how likely a predicted price movement is to occur. For example, a signal might show '75% confidence of a +8-12% move over the next 3 trading days.' Confidence levels are based on historical analogs from 20 years of S&P 500 data, analyzing how similar language patterns and situations resolved in the past.

A trading opportunity identified by Vixr that includes a directional expectation (up/down/volatility), magnitude range, and confidence level. Signals are generated when Vixr's models detect language patterns, tone changes, or contextual deviations that historically preceded short-term price movements.

A past market event with similar characteristics to a current situation. Vixr's models compare current market conditions to 20 years of S&P 500 historical data to find analogous events and predict how similar situations resolved in the past. Historical analogs inform confidence levels and magnitude predictions.

The predicted direction of price movement for a signal: up (bullish), down (bearish), or volatility (uncertain direction but significant movement expected). Directional expectations are derived from analyzing how similar language patterns and market conditions historically translated into price movement.

The predicted size of a potential price move, expressed as a percentage range. For example, a signal might predict a '+8-12% move' over the next 3 trading days. Magnitude ranges are based on historical analogs showing how similar events resolved in the past.

A temporary gap between a security's current price and its fair value based on newly available information. Vixr exploits short-term pricing inefficiencies that emerge in the 0-3 day window around market-moving events, where interpretation lags information release.

Excess returns above the market average, generated by identifying and trading on pricing inefficiencies. Vixr focuses on finding alpha in the lag between information release and full market absorption — the 0-3 day window where the alpha is.

A trading strategy focused on profiting from price movements around specific market events like earnings calls, SEC filings, press releases, and regulatory updates. Vixr specializes in event-driven trading within the 0-3 day window where these events create the most tradeable opportunities.

A conference call where company executives discuss quarterly financial results and provide forward-looking guidance. Vixr analyzes earnings call transcripts for changes in tone, language patterns, and guidance that historically preceded short-term price movements.

Documents filed with the U.S. Securities and Exchange Commission, including 10-K annual reports, 10-Q quarterly reports, 8-K current reports, and other disclosures. Vixr continuously ingests and analyzes SEC filings to identify language patterns and disclosures that may impact short-term price movement.

The overall sentiment, framing, and language used in corporate communications, earnings calls, and SEC filings. Vixr's models detect shifts in market tone — changes in guidance, framing, and sentiment — that often precede repricing. Tone analysis is a key component of signal generation.

Vixr's AI models trained on 20 years of S&P 500 market data that analyze language patterns, tone changes, and contextual deviations from historical norms. The models map how language and framing historically influenced short-term price movement, enabling probabilistic predictions based on precedent rather than guessing.

A user-configurable setting that filters signals based on risk tolerance. Vixr offers different risk modes (Preserve, Adaptive, Overdrive) that adjust minimum confidence thresholds, volatility expectations, and signal filtering to match your trading style and risk tolerance.

User-configurable settings that tune which signals surface based on minimum confidence thresholds, expected volatility, personal risk tolerance, and time horizon preferences. Filters ensure you see fewer, better signals aligned to how you trade.