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INSTITUTIONAL TERMINAL / news-sentiment

Market & News-Sentiment Terminal

Every breaking headline, scored, mapped to a ticker, and tracked for what happened next.

Institutional Terminal is a professional-grade market dashboard built around one idea: news can move markets before prices fully reflect it. It reads incoming news continuously, scores each story's sentiment with AI, maps it to the stocks it references, and keeps a transparent record of whether the market moved in the direction the signal indicated — across ten connected modules.

The walkthrough

Ten modules, one connected view of the market

Each module answers a different question a portfolio manager asks during the day — from "what just broke?" to "is this desk's model actually any good?" Here is every one, in order.

01

🌐 Live Terminal News sentiment

The core screen. Every incoming headline is classified bullish, bearish or neutral, scored from 0 to 10, and mapped to the tickers it references — with its latest available price beside each one. The engine then observes the market and marks each signal ✅ or ❌ depending on whether the stock moved in the direction the signal indicated, so the feed becomes a transparent, self-scoring record rather than a wall of headlines. A "News-Sentiment Leaders" panel ranks the day's most-discussed names by net sentiment.

02

⭐ Watchlist Your book

The same sentiment, price and signal treatment, narrowed to the tickers you actually hold or follow. Add your positions once and the terminal filters every incoming story down to what touches your book — so a headline about a name you own never scrolls past unseen.

03

📈 ML Performance Matrix Transparent track record

Most tools hide how often they were right. This one shows it. The matrix reports the historical hit rate and total signals recorded, broken out across multiple time horizons — how each signal looked 90 minutes after the news, by the same-day close, and by the next-day close. It is a deliberately transparent scoreboard of past results, and it updates as more signals are recorded. Past results do not guarantee future outcomes.

04

🔥 Sector Heatmap Rotation at a glance

Aggregates every scored story up to the sector level, so you can see where sentiment is concentrated — which sectors the news is bullish on, which are under pressure, and how one-sided the flow is. Click any sector to drill into the individual names driving it.

05

📊 Global Indices World tape

The major benchmarks on one screen — S&P 500, Nasdaq, and international indices including the NIFTY 50, CAC 40 and Euro Stoxx 50 — with levels and moves, so a US desk keeps one eye on how Europe and Asia are setting the tone.

06

💱 Currencies FX & crypto

Major currency pairs and leading crypto assets, tracked alongside the equity view — the macro backdrop that frames every single-stock call.

07

🏆 Commodities Macro drivers

Gold, oil and the commodity complex, so the moves that ripple into energy, materials and inflation-sensitive names are never off-screen when you are weighing a sector call.

08

⚡ Options Flow Activity view

Displays notable options activity — where trading volume and open interest are concentrated across calls and puts — as informational market context only. It is not a forecast, and does not predict future moves in the underlying.

09

🏛 Index Members Constituents

Expand any major index into its full membership with live prices and daily moves — the fast way to see whether an index move is broad-based or carried by a handful of names.

10

📅 Earnings Radar Estimates vs actuals

A forward calendar of who reports and when — before the open or after the close — with consensus EPS and revenue estimates, the actuals the moment they land, and an automatic beat / miss verdict. Filter by sector, and choose how wide to cast the net, from your tracked names to any large-cap in the news that week.

Under the hood

A sentiment engine that grades its own homework

The difference between a news feed and a signal is accountability. Every call the terminal makes is logged, checked against the tape, and fed back into how much the next call is trusted.

STEP 01

Read & score

Headlines are sourced from publicly available news feeds, classified for sentiment and scored 0–10 by an AI model, then mapped to the tickers and sector each story references.

STEP 02

Weight by track record

A raw score becomes an adjusted score by re-weighting it against how that sector-and-direction signal has behaved across the terminal's own recorded history — so historically consistent patterns are weighted more heavily than those with mixed track records.

STEP 03

Check & learn

Once the session has settled, each signal is marked ✅ or ❌ and written to the record. That record feeds the ML Performance Matrix and informs how future signals are weighted, so the scoring reflects more history over time.

Open the terminal

The full dashboard runs in your browser — no install, no terminal hardware. Step inside and watch incoming news headlines get scored and mapped as they arrive.

Important information

Disclosures & risk disclaimer Read