Everything you see inside Omnisc — from the dashboard to individual ticker breakdowns to the Intelligence Feed.
The main view. 150+ tickers organized by sector — AI & Tech, Defense, and Materials. Each row shows the Fusion verdict, individual engine readings, price, and data freshness at a glance.
Filter by direction
All, Bullish, Bearish, or Neutral — see only tickers matching a specific Fusion direction.
Filter by sector
AI/Tech, Defense, Materials, or all sectors together.
Market Temperature
Batch-level signal showing overall market tone: Heating, Cooling, or Mixed.
The core of Omnisc. Three independent engines — News, TA, and Crowd — combined into one directional read per ticker. Every assessment explains what drove the verdict and what could change it.
Each ticker receives one of five directional states, shown as color-coded badges throughout the platform:
Conviction
How strong the data conditions are: High, Moderate, Watch, or Low. Higher conviction means more favorable data quality — not guaranteed accuracy.
Evidence Support
How much data backs the reading — layer availability, freshness, alignment. Shown as a band: Strong, Adequate, or Limited.
Agreement
How the engines relate: Strong (aligned), Partial (one neutral), Divergence (conflicting), or Insufficient (limited data).
Key Drivers + Risk + Watch For
What's moving the assessment, what could go wrong, and specific conditions that would invalidate the current read.
Scored news impacts — not raw headlines. Every article is evaluated for which companies it affects, in what direction, and how strongly. Each impact includes a plain-language explanation of why it matters.
What Matters Now
Top block highlights the strongest current impacts based on score, publisher tier, and confidence.
Impact cards
Ticker, direction badge, score, confidence, scope (Direct/Sector), catalyst type, and reason.
Also Affected
When an article impacts multiple companies, additional tickers with their own scores and explanations.
Filters
By sector, direction, High Impact only, Top Sources only, or search by ticker/company name.
Build a personal watchlist of tickers you want to track. Same layout as the dashboard — Fusion verdict, engine readings, freshness — but focused on your selected names. Designed for quick recurring review.
Each engine runs independently before Fusion combines them.
News Impact Engine
AI-scored article analysis. Classifies news as direct company, sector-level, or macro context. Detects catalysts — earnings, M&A, legal, guidance — and temporarily increases News influence in Fusion during active catalyst windows.
In Fusion: acts as a modifier on the TA base. Strengthens the read when aligned, dampens it when conflicting. Bearish-aligned news can carry slightly more influence than bullish when it agrees with TA direction.
Technical Analysis Engine
Price structure analysis: trend direction, RSI momentum, support/resistance levels, Bollinger Band positioning, moving average crossovers. Regime-aware — adjusts behavior for bull, bear, and crisis-like markets.
In Fusion: sets the base direction. Most historically validated layer — validated across 5 years and all market conditions.
Crowd Focus Engine
Social attention and sentiment from X/Twitter. Tracks discussion volume vs baseline, sampled sentiment direction, and who's driving the conversation — from retail to institutional-level accounts.
In Fusion: pure context. Doesn't change the score. Flags when crowd confirms or challenges the analytical verdict.
Each layer refreshes on its own schedule. Freshness indicators show when data was last updated.
News engine
Every 10–15 minutes, around the clock.
Technical Analysis
Once daily after market close, using end-of-day price data.
Crowd engine
Every 3 hours throughout the day.
Fusion
Three times per trading day: pre-market, midday, and after close. The after-close run is the canonical daily assessment.
On weekends and holidays, data from the last trading session remains visible with freshness indicators.
Click any ticker to open the full breakdown. At the top: the Fusion Assessment card with direction, conviction, evidence support, and a narrative explaining how the layers interact. Below: full engine readings from News, TA, and Crowd — each with an interpretation paragraph in plain language.
Fusion card
Direction badge, conviction level, evidence support band, agreement type, synthesis narrative, key drivers, risk notes, watch for, layer roles, and data freshness.
Engine readings
News: article summary and breakdown. TA: indicators, RSI gauge, support/resistance. Crowd: sentiment, attention, influencers. Each with plain-language interpretation.