Real-time probability tracking
Continuously updated probability scores show when a company’s likelihood of major news is rising, spiking, or declining.
NixRank tracks 1,500+ publicly traded companies for rising odds of major corporate announcements using public signals and historical patterns.
NixRank is a probability-based market intelligence product that highlights companies with elevated chances of significant corporate news activity. Instead of presenting raw headlines or a broad news feed, it turns public signals and historical patterns into a real-time probability layer.
The site says the platform monitors 1,500+ publicly traded companies and updates probabilities as new signals emerge. Users can review current signal strength, short context, probability changes over time, and past outcomes after signals expire, which makes the product useful for early event awareness and timing-oriented research.
Continuously updated probability scores show when a company’s likelihood of major news is rising, spiking, or declining.
The engine combines multiple unstructured market signals into one structured output so users can review a single probability layer instead of scattered inputs.
Coverage spans 1,500+ publicly traded companies, with the product focused on companies listed on NYSE and NASDAQ in real time.
Each signal includes probability level, short written context, and a timeline of probability changes to help users understand why the score moved.
Expired signals remain accessible in history, where users can review whether a major announcement actually followed the signal.
Enterprise pricing includes API access, platform integration, custom data delivery, and dedicated support for internal workflows.
Use the Individual Investor view to follow a curated set of high-probability companies and look for emerging opportunities before announcements become public.
Use the Professional plan to review the full stream of tracked companies, then inspect historical signals and pre-announcement patterns for deeper research.
Use the institutional workflow to screen large portfolios for rising event risk, then apply scores to risk models and alerting processes.
Use the Enterprise option when probability data needs to feed internal systems, trading tools, research platforms, or prediction market workflows.
Use the signal timeline and outcome history to assess whether a company’s probability spike was followed by an actual announcement.
NixRank tracks 1,500+ publicly traded companies and surfaces rising probability signals for upcoming corporate announcements. The product presents a probability layer, signal context, and historical outcomes rather than a traditional news feed.
The pricing page shows a lower-cost Individual Investor plan with curated high-probability companies, a Professional plan with full market coverage, and an Enterprise option with API access, platform integration, custom data delivery, and dedicated support.
The source describes real-time probabilities, signal aggregation, event intelligence, and historical signal outcomes. It does not publish setup steps, onboarding details, or a public API specification beyond the enterprise plan summary.
The site says signals stay visible for 14 days on the Individual Investor plan, then move to history. The product also shows whether a major announcement actually occurred after a signal expires.
The site positions NixRank for individual investors and institutional teams. The institutional page emphasizes portfolios, risk scoring, and workflows for larger teams, while the individual investor page focuses on early opportunity tracking.
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