AI trading, with the evidence.

A backtest isn’t enough. Test strategies on data they never saw.

Aurora researches your idea, builds strategies, and backtests the alternatives. You decide what to paper trade and what to take live.

3 quick questions to get started. Paper trade first.

No code required You control what runs
$The founder trades it with real capital, in public.
$25,000 portfolio: +12.7% vs SPY +8.2% · May 5–Oct 7, 2026
NEXUSTRADE / WORKSPACE
AuroraResearch, experiments, validation
Top 6: +21.3% to +30.6% on unseen data
THE IDEA Buffett Signal Composite. Which lookback, cooldown, and position size hold up?
  1. 01
    Investigate

    Turn the thesis into rules a backtest can check.

  2. 02
    Experiment

    Backtest combinations of lookback, cooldown, and allocation.

    96 configurations
  3. 03
    Validate

    Rank on Jan 2021–Apr 2025. Test the leaders on 13 months they never saw.

    Top 6 retested
  4. 04
    Walk forward

    Roll the test window forward before trusting a winner.

    Not yet run here
  5. 05
    You decide

    Paper trade, monitor, then go live through your broker.

Real records. Inspectable rules. Your decision.
Have your own idea?Let’s find out how it holds up.
Built. Tested. Used.Updated Oct 7, 2026
35,800registered users
580,144backtests run
13,409agents created
WHAT AURORA DOES WITH YOUR IDEA

Most AI agents stop at a backtest.
Aurora keeps testing.

Ask a question in plain English. Aurora runs the research loop and leaves every step open for you to inspect: the rules, each backtest, and the periods every candidate was tested on.

01

Investigate.

Aurora gathers filings, prices, and fundamentals, then states your idea as rules a backtest can check.

START WITH A QUESTION“Do congressional trading
disclosures predict returns?”
02

Experiment.

It builds strategy variants and backtests them side by side across lookbacks, timing, and position sizes.

Strategy variants Parameter sweeps Returns & drawdowns
03

Validate.

Candidates are ranked on one period, retested on a held-out period, then checked on rolling walk-forward windows.

Unseen test periods Walk-forward windows Risk behind the return
04

You deploy.

Paper trade the survivor first. Live trading connects to Alpaca, Public, TradeStation, and Tradier, and you turn it on.

PAPER TRADINGYour idea. Your rules.
Your call.

Testing on unseen data makes an overfit strategy easier to catch. No test guarantees future returns, including this one.

A REAL AURORA EXPERIMENT

Ranked on one period.
Tested on another.

Aurora compared 96 configurations and ranked them on the training period. These six leading candidates then faced an unseen validation period. The encouraging results still need a rolling walk-forward test.

A REAL COMPLETED EXPERIMENT

Buffett Signal Composite

96 configurations evaluated
Training ranked here Unseen validationSortino ratio
Candidate 01+21.8% return
0.72
1.77
Candidate 02+21.4% return
0.65
1.71
Candidate 03+24.6% return
0.65
1.92
Candidate 04+21.3% return
0.61
1.70
Candidate 05+25.5% return
0.61
2.15
Candidate 06+30.6% return
0.60
2.47
Training: Jan 2021–Apr 2025Validation: Apr 2025–May 2026

Sortino measures return relative to downside volatility; higher is better. Six displayed candidates from a 25-row leaderboard, ranked on the training period, rather than validation. Returns under each candidate cover the validation window only. Every candidate's validation Sortino is higher than its training Sortino. One later window can do that when the market is easier, so the gap is not proof the strategy improved.

Inspect the experiment details

Training: Jan 1, 2021–Apr 19, 2025. Validation: Apr 20, 2025–May 17, 2026. Each candidate varies the lookback, entry cooldown, and position allocation. This is a historical research example, not a live bot record or a forecast.

Candidate 01: 60-day lookback · 60-day cooldown · 15% allocation

Candidate 02: 90-day lookback · 45-day cooldown · 10% allocation

Candidate 03: 90-day lookback · 60-day cooldown · 20% allocation

Candidate 04: 120-day lookback · 30-day cooldown · 10% allocation

Candidate 05: 60-day lookback · 21-day cooldown · 15% allocation

Candidate 06: 90-day lookback · 45-day cooldown · 20% allocation

See the evaluation approach
THE $25,000 PUBLIC PORTFOLIO CHALLENGE

Real capital.
An open record.

The founder connected his own brokerage account. You can inspect the portfolio, the decisions, and the mistakes along the way.

Inspect the public portfolio
ResearchReal fillsWins & losses
Public Portfolio Challenge: OriginalReal capital
Portfolio value$28,165.87
+12.7%May 5–Oct 7, 2026
This portfolio +12.7%SPY +8.2% total return4.5 pts ahead of SPY
Started with $25,000.00Updated Oct 7, 2026
Inspect the full portfolio, positions, and fills.
THE BOT MARKETPLACE

Find a starting point.
Inspect the whole story.

Public bots, with the performance and the risk left on the card.

Browse the marketplace

Records are labeled by deployment type. Updated Oct 7, 2026. Past performance does not guarantee future results.

FROM THE PEOPLE USING IT

Different backgrounds.
The same curiosity.

You did an excellent job of considering all aspects of trading and research which made the application smartly transition from research to strategy, to watchlist, to trade… very nicely done.
Spencer K.Chief Finance Officer / Institutional Investor
It’s not just another AI language model; it’s a visual demonstration of how AI can be practically applied.
Michael P.Senior Lecturer at Harvard Business School
It allows me to create my own trading strategy easily and quickly. Even though I know how to code, it’s still very enjoyable to do this with such ease.
Delanoe P.Artificial Intelligence Engineer
ROOM TO START. ROOM TO GROW.

Start free.
Go deeper when you’re ready.

Explore and build manually for free. Choose a paid plan for ongoing Aurora research and higher limits. Research tokens are what those runs spend: a short question costs a few, and a deeper model costs more.

EXPLORE

Observer

Learn the platform. Build by hand.

$0forever

Free to explore. No subscription fee.

Start at your own pace.Start for free
  • Browse community bots
  • Create strategies manually
  • 2 paper portfolios
  • 10 strategies per portfolio
Buy research tokens when you need them.
AUTOMATE

Algorithmic Trader

More capacity for serious research.

$83.33/ month

$999.99 billed annually

Get started
  • Aurora AI research
  • 3,000 research tokens / day
  • 100 paper portfolios
  • 100 strategies per portfolio
For a growing research workflow.
SCALE

Unstoppable Quant

The platform at its highest capacity.

$166.67/ month

$1,999.99 billed annually

Get started
  • Aurora AI research
  • 6,000 research tokens / day
  • 2,000 paper portfolios
  • 1,000 strategies per portfolio
For your most demanding work.

*Annual prices are monthly equivalents. The full annual amount is charged once per year; save about 17% compared with 12 monthly payments.

30-day platform-fee money-back guaranteeCompare every feature

The guarantee covers platform subscription fees, not trading losses. Read the policy. Bot subscriptions may have separate fees.

Publishing your own bots? Compare creator revenue shares.
ObserverKeep 75%
Data-Driven InvestorKeep 80%
Algorithmic TraderKeep 90%
Unstoppable QuantKeep 95%
BEFORE YOU START

Good questions.

You should know what happens next.

Explore the documentation
Do I need to code or already have a strategy?

No. The three-question start asks about your experience, priorities, and interests, then suggests ideas to test. Choose one or bring your own. Aurora works in plain English, and you can also build rules manually.

Can I trade real money with NexusTrade?

Yes, if you choose to. Paper trading needs no brokerage. Live trading connects to Alpaca, Public, TradeStation, or Tradier. Stocks, options, and crypto are supported. The brokerage decides which of those you can trade. Automated live trading requires approval, current consent, and automation you explicitly enable.

What’s free, and when do I pay?

You can explore bots and build strategies manually. The free workspace includes 2 paper portfolios with up to 10 strategies each. Aurora research uses tokens: paid plans include a recurring allowance, and you can also buy tokens without changing your plan.

Are the results shown here real money or simulations?

The founder’s Public Portfolio Challenge uses real capital. Marketplace records are labeled as paper or live trading; the Buffett sweep is historical backtest research. These are different kinds of evidence, and none guarantees your future returns.

Why does an annual plan show a monthly price?

It’s a monthly equivalent for comparison, not monthly installments. For example, the Investor annual plan shows $41.67 per month, but charges $499.99 once per year. Choose Weekly or Monthly for those billing periods instead.

Does a paid platform plan include every bot?

No. Some marketplace bots are free; others have their own subscription price. A platform plan covers its research allowance and platform limits. A paid bot subscription unlocks that bot only. It does not include Aurora access or upgrade your platform plan.

LET CURIOSITY LEAD. LET EVIDENCE DECIDE.

Give your next idea
a proper test.

See where the evidence takes you.

Research and product guides