Market Data
Live quotes, symbols, and index monitoring with direct links to chart and detail views.
01 / Features
Feature Inventory█
All modules are organized for command-first analysis on Indian markets.
02 / Capability Grid
Core modules in the current build.
Command Flow
Typed commands route directly to pricing, description, chart, and risk modules.
Python Runtime
Script research logic using embedded Python APIs and local workspace data.
Risk Snapshot
Position and exposure metrics are calculated in one view for review before execution.
Alerts
Condition rules support threshold notifications across symbols and index instruments.
Local Storage
Layouts and watchlists are saved locally for repeatable desk setup.
03 / Screen Inventory
Available screens and their role.
| Screen | Category | Description |
|---|---|---|
| Quote Board | Market Monitoring | Tracks selected symbols with live last price, change, and volume. |
| Index Monitor | Market Monitoring | Shows broad index movement and market breadth at a glance. |
| Company Snapshot | Research | Displays summary fundamentals and key instrument metadata. |
| Chart Workbench | Technical Views | Loads multi-timeframe charts with indicator overlays and drawing tools. |
| News Feed | Research | Lists latest instrument-linked headlines for event context. |
| Position Book | Portfolio | Aggregates holdings, fills, and current P&L for open positions. |
| Risk Monitor | Portfolio | Summarizes exposure, concentration, and daily limit checks. |
| Python Console | Automation | Runs custom scripts against terminal data and workspace state. |
04 / Workflow Detail
Examples of terminal-style session output.
Command Routing
The command parser maps each token to a module and returns a deterministic view. This keeps navigation short during active sessions.
COMMAND OUTPUTROUTE LOG
> RELIANCE:IN EQUITY GP
MODULE: PRICE SNAPSHOT
LAST: 2948.60 | CHG: +32.25 | VOL: 5.8M
NEXT: DES | HP | NEWS
Python Session
The Python interpreter runs in-process, so data retrieval and calculations stay in one workspace context.
python_session.py
>>> import qt
>>> df = qt.history("NIFTY:IN INDEX", period="3M")
>>> signal = df.close.pct_change().rolling(5).mean().iloc[-1]
>>> round(signal, 4)
0.0032Risk Summary
Risk metrics are calculated in the same terminal session and can be checked before placing new orders.
RISK SNAPSHOTINR BASE
| Metric | Value |
|---|---|
| Daily P&L | +₹42,800 |
| Max Drawdown | -3.9% |
| Sharpe Ratio | 1.42 |
| 1D VaR (95%) | ₹1,18,000 |
05 / Comparison
Quantify Terminal compared with common platforms.
| Capability | Quantify Terminal | Refinitiv Eikon | Broker Web Platform | Charting Platform |
|---|---|---|---|---|
| Price | Free (MIT) | Subscription | Broker-linked | Freemium |
| NSE Data | Yes | Yes | Yes | Yes |
| Python Scripting | Yes | Yes | No | No |
| Command Interface | Yes | Yes | No | No |
| Open Source | Yes | No | No | No |