We bring institutional discipline to retail options trading.

TradeNova is a quantitative options-research platform built by working traders and engineers who got tired of services that publish noise, hide losses, and curate winners. The system runs the way a hedge-fund desk runs — multi-strategy, hard risk gates, daily forensic review — but the output is delivered as a consumer-grade subscription.

Four core beliefs

Belief / 01

Multi-strategy diversification

No single trading style works in every market condition. By combining a diversified set of strategies tuned to different opportunity classes — short-term structure, ticker-specific downside, asymmetric upside, and cross-strategy convergence — the system has a chance of generating useful signals across regimes (bull, bear, sideways, high-vol).

Belief / 02

Risk-first architecture

Every decision starts with what can we lose? A trade-quality gate enforces hard rules before a position opens, daily-loss circuit breakers cap session damage, and a hard pre-set stop on every position is non-negotiable. Capital preservation is the foundation, not an afterthought.

Belief / 03

Institutional analytics at retail scale

Institutional-flow analysis, regime-aware positioning, and multi-agent confirmation have historically been the preserve of hedge-fund desks. The platform brings the same *kinds* of analytical sophistication into a subscription accessible to a working trader.

Belief / 04

Always-on automation, never override

From pre-market scans through after-hours analysis, the system operates continuously. It does not panic, does not fall in love with positions, and does not override its own rules. Discipline beats discretion at scale.

What we do

Research and publish.

Run a multi-strategy quantitative system on a curated U.S. options universe.
Publish ranked trade ideas with rationale, suggested entry, and exit framework.
Track every signal from publication to exit, with forensic notes on losses.
Continuously improve the system from realised outcomes, not paper assumptions.

What we will never do

Cross these lines.

Trade in your account or take custody of your funds.
Sell, rent, or share user data with third parties.
Promise specific returns or hide losing trades.
Publish proprietary scoring weights, classifier names, thresholds, or filter parameters.

How the system is built

High-level architectural attributes. Specific scan cadence, strategy counts, scoring weights, and threshold values are intentionally not published.

Coverage

Curated US universe

Liquid U.S. equities and ETFs across all major sectors, rebuilt each morning against fresh liquidity and event-proximity filters.

Cadence

Continuous intraday

Pre-market sweeps through the regular session and after-hours analysis. Ranked picks publish at curated points in the day.

Architecture

Multi-strategy stack

Independent strategies tuned to different opportunity classes — diversified so one bad regime cannot wipe the whole stack.

Confirmation

Multi-agent AI consensus

Every survivor reviewed independently by a multi-agent AI consensus layer; publication requires sufficient agreement.

Output

Few high-conviction ideas

A small number of ranked, time-stamped trade ideas per session. Most candidates die at the gate — that is the design intent.

Built / hosted

United States

Engineered and operated entirely in the United States; account data hosted on U.S.-resident infrastructure.

Who is this for?

Persona / 01

Active retail traders

You already trade options, you already know the basics, you are tired of services that publish 50 'ideas' a day and hide the losers. You want a small number of well-gated trades and a clean way to track results.

Persona / 02

Aspiring quants

You want to see what an institutional-style multi-strategy pipeline actually looks like. The methodology page walks through the architecture; the dashboard shows what it produces.

Persona / 03

Small prop desks & RIAs

You want a curated alpha source that doesn't cost millions to build in-house. The Desk plan exposes deeper attribution views and read-only API access for integration into your own workflow.

Want to see how the system actually decides?

The methodology page covers the pipeline at the level we are willing to publish.

Read the methodology →