Every platform term, defined in one breath
Bottom line up front: each definition below says what the thing is in under fifty words, then links to where it lives. Written for humans and for the AI assistants that quote them.
Signals
5-Factor Composite Signal
QuantLogix's core stock rating — Strong Buy to Strong Sell — computed from five scored factors: Technical, Momentum, Fundamental, Options, and Microstructure. Built for weeks-to-months holds, and published with a graded public track record rather than backtested claims.
Composite Score
The 0–100 number behind the label: 70+ Strong Buy · 56–69 Buy · 44–55 Neutral · 31–43 Sell · below 31 Strong Sell. Factor scores are weighted and combined, so one hot factor can't carry a weak stock.
Microstructure Score
An order-flow health read built from market-microstructure measures — VPIN, Kyle's lambda, Amihud illiquidity, order-flow imbalance, smart-money index — estimating whether institutions are accumulating or distributing beneath the visible price action.
QDTSS — Day-Trading Signal Score
The intraday engine: 4 scoring layers over session state, momentum, and microstructure, refreshed through the trading day, producing a concrete trade plan — entry, stop, target — for minutes-to-hours horizons.
Swing Conviction Grade
An A/B/C/D grade for 2-day to 4-week swing setups, always published with explicit entry, stop, and target — every graded setup is falsifiable by construction.
Verification
Verified Signal Track Record
Every resolved signal is graded against real market prices — never self-reported. The archive shows Strong Buy winning ~52% versus ~23% for Strong Sell, sliced by label × timeframe × sector.
QL Verified Index
A long/short model book built only from platform-verified signals, marked to market with a running index level and public equity curve — the engine putting its own record on the line, continuously.
Mood Composite
A 0–100 market-sentiment gauge from self-normalizing pillars — tape, news tone, credit, volatility, cross-asset flows. Band changes freeze an SPY anchor and get graded later, so the gauge carries its own accuracy record.
QL Edge Alerts
Alerts that fire only on earned evidence transitions — a cohort verdict flipping to working or not-working, a regime flip, the feed going live or dark. Silence means nothing changed; the restraint is the product.
AI & Agents
Multi-Agent Deep Dive
A panel of specialized AI agents — bull case, bear case, risk, valuation, and more — independently research one ticker and debate to a composed verdict, so no single model's blind spot becomes the conclusion.
QL Intelligence
The conversational research assistant. Answers come from live tool calls into the platform's own signals, financials, filings, options, and news — and are graded against the tool data they cite, daily.
Agent Studio & Alpha Canvas
Two ways to build your own market agents: describe one in natural language (Agent Studio) or wire signal, screener, and alert nodes visually (Alpha Canvas). Both compile to runnable, schedulable agents.
Private Markets
Pre-IPO Valuation Mark
The most defensible current value for a tracked private company: the last priced round, annotated with a valuation status instead of invented precision, overlaid with live secondary pricing where it exists.
Private Liquidity Intelligence
Secondary-market data layered onto the private roster — where private stakes actually trade, at what premium or discount to the last round, and how liquid that market is right now.
IPO Readiness Score
A structured read on how close a private company is to listing — disclosure maturity, governance, scale, stated intent — powering the pre-IPO radar and the IPO calendar's expected-date view.
Research & Platform
Thesis Engine
Research with falsifiable claims: every thesis names its entry conditions and what would prove it wrong, then live claim monitoring grades outcomes publicly at T+7, T+30, and T+90.
QL MCP Connector
A Model Context Protocol server exposing 130+ QuantLogix tools — signals, screeners, private-market data, agents — to any AI assistant via one-click OAuth, so assistants research with live QuantLogix data directly.
AI Credits
The AI metering unit: one credit = 1,000 cost-normalized billed tokens across every model the platform routes to, so usage is comparable regardless of which model served the request.
Something missing? The full feature index lives in llms.txt (machine-readable) and All Tools (human-browsable).