How to Read Omnisc

The dashboard shows 150+ tickers across AI & Tech, Defense, and Materials sectors. Each row shows the core snapshot: ticker, price, Fusion verdict, News, TA, Crowd, and freshness context.

The Fusion column is the primary assessment — it synthesizes all three analytical layers into one directional verdict with an evidence support band and conviction level. Use the sector pills at the top to filter by segment, and the bias pills (All / Bullish / Bearish / Neutral) to filter by Fusion direction. Click any ticker row to open the full breakdown.

Below the filter pills you may see a Market Temperature indicator. This is a batch-level signal describing the overall market tone across all 150+ tickers: Cooling (majority bearish), Heating (majority bullish), or Mixed. It provides context for reading individual ticker assessments — a bullish signal in a cooling market may carry more risk than the same signal in a heating one.

Fusion is the synthesis layer that combines the three independent engines — Technical Analysis, News Impact, and Crowd Focus — into a single directional assessment per ticker. It runs three times daily: before the market opens, at midday, and after the close.

Omnisc uses a two-tier badge system. Fusion badges use solid colored backgrounds (green for bullish, red for bearish, gray for neutral) to draw attention as the primary verdict. All other column badges (News, TA, Crowd, Freshness) use lighter pastel tones to provide supporting context without competing for attention.

The "Lean" states (Lean Bullish, Lean Bearish) appear as lighter pastel versions of their parent color — they indicate a directional tilt that has not reached full conviction. Crowd badges are different from direction badges: amber tones indicate elevated attention or unusual activity, not a buy or sell direction.

The News layer answers "what happened, and why does it matter?" It reads Yahoo Finance coverage, classifies each article as direct company news, sector-level read-through, or macro context, and produces a structured company-level bias with an explanation.

Direct company news carries the most scoring weight. Sector and macro articles add context but do not dominate the assessment. When a major catalyst hits — earnings, M&A, legal events, guidance — the News layer's influence in Fusion temporarily increases for a short window to reflect the elevated importance of that event.

News refreshes every 10–15 minutes during market hours and overnight.

The TA layer evaluates price structure: trend direction, RSI momentum, support and resistance levels, Bollinger Band positioning, moving average alignment, volume patterns, and market regime (Bull, Bear, Sideways, Recovery, Crash, or Neutral).

TA runs daily after the market close using end-of-day data. It is the most historically validated layer in the stack, with five years of data across all market conditions. In the Fusion architecture, TA sets the base direction — when News and TA agree, evidence support increases significantly.

In bearish or crash-like regimes, some contrarian technical setups can become more significant. Regime context should always be read alongside direction.

The Crowd layer tracks attention and sentiment on X/Twitter: how much a ticker is being discussed, how unusual that volume is versus its baseline, what the sampled sentiment looks like, and who is driving the conversation.

In the Fusion architecture, Crowd is a context layer — it does not affect the directional score. Crowd is most useful when it confirms or challenges what News and TA are showing. When crowd sentiment opposes the Fusion direction, a divergence note appears in the assessment. Crowd refreshes every three hours.

Clicking a ticker opens the full breakdown. At the top you'll see the company header with live price context and quick statistics.

The Fusion Assessment card is the primary section. On the left it shows the directional verdict, actionability, evidence support, and a synthesis narrative explaining how the layers interact. Below the narrative, "What each engine sees" gives per-layer one-line headlines. On the right, a details grid shows Key Drivers (what's moving the assessment), Risk Notes (what could go wrong), Watch For (conditions that would invalidate the current call), Layer Roles (how each engine contributed), and Data Freshness.

Below the Fusion card, Engine Readings shows the full detail from each of the three layers: News summary and article breakdown, Technical Analysis indicators with RSI gauge and support/resistance levels, and Crowd data with sentiment and attention metrics. Each engine card includes an interpretation paragraph that explains the data in plain language.

Each layer refreshes on its own schedule. News updates every 10–15 minutes during active hours. Technical Analysis runs once daily after the market close (around 4:25 PM ET). Crowd refreshes every three hours. Fusion runs three times per trading day: pre-market (9:05 AM ET), midday (1:05 PM ET), and after close (4:35 PM ET). The after-close run is the canonical daily assessment.

On weekends and holidays, data from the last trading day remains visible with a freshness indicator noting the date. Interpretation text adjusts to reflect that the data is from a prior trading session, with freshness indicators so users can understand when each assessment was last updated.

Signed-in users can build a personal watchlist of tickers. The watchlist page mirrors the dashboard layout — Ticker, Company, Price, Fusion verdict, News, TA, and action buttons — so you can monitor your selected names at a glance without scanning the full universe.

Omnisc provides analytical intelligence for informational purposes only. It does not provide investment advice, recommendations, or portfolio management. The platform shows you structured reasoning from multiple data sources — the decision is always yours. Review the full Risk Disclaimer before making financial decisions.