Agentic strategy research
Aurora researches evidence, builds inspectable stock and options strategies, runs historical tests, and prepares automation in one workspace. You decide what advances.
Start free · No credit card required · Not investment advice
What would you ask your quant team?
One workspace, complete loop
Aurora exposes the plan, tools, artifacts, and review points behind the answer. Explore the same sequence the agent uses for a real strategy task.
SEC and fundamental evidence for the research question.
Historical and current inputs used by the same strategy engine.
Collected material stays connected to its source URL.
Private research can become a reusable evidence layer.
Replay the exact structured rules over a defined period and baseline.
Explore a declared parameter surface instead of hand-tuning one curve.
Separate rolling training and out-of-sample windows.
Inspect why orders fired and whether the behavior holds broadly.
Research sources, structured rules, tests, and known limitations remain attached to the work.
Beyond chat
NexusTrade connects language models to structured market tools, durable artifacts, and an execution engine. That makes the work testable and inspectable.
The NexusTrade workspace
Use Aurora conversationally or open the underlying product surfaces yourself. The artifacts stay structured either way.
Screen assets, analyze filings and earnings, search news, ingest articles and transcripts, and work with your own research corpus.
Compose indicators, nested conditions, dynamic rebalances, options structures, exits, sizing, and agent actions.
Compare baselines, inspect events, explore parameter surfaces, audit breadth, and run rolling out-of-sample studies.
Schedule agents, paper trade, connect supported brokerages, stage orders, inspect events, and keep an approval trail.
Control is a product feature
NexusTrade keeps the important boundaries visible throughout the workflow.
Complex agent work can be decomposed into explicit steps before execution.
Conditions and actions remain inspectable instead of disappearing inside prose.
Strategies can advance through simulation before a live brokerage path.
Agent trajectories, portfolio events, and backtest events support investigation.
A real-money experiment, in public
NexusTrade's founder connected a live brokerage account and made the experiment public. The series documents the agent runs, strategy changes, fills, bugs, wins, and losses instead of presenting a polished retrospective.
From the people using it
“I was truly impressed by NexusTrade; it's brilliantly designed. 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. Overall, it's a significant step forward for investing.”
“I discovered NexusTrade on YouTube and was so impressed that I invited the founder to speak at my MBA class. What makes it special is that it's not just another AI language model — it's a visual demonstration of how AI can be practically applied.”
“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. I was able to optimize my strategy to the fullest and ended up with something truly incredible.”
Pricing
Plan names, prices, limits, and included features below are rendered from the current NexusTrade subscription models.
Explore the platform, create trading strategies manually, and learn what algorithmic trading looks like.
Access the Aurora AI agent, intraday backtesting, comprehensive algorithmic trading courses, and the ability to monetize your trading strategies.
Designed for serious traders who need expanded limits, faster optimizations, and comprehensive platform access.
Institutional-grade access with maximum limits, priority support, and the full power of NexusTrade.
Built in public
Product claims are more useful when you can inspect the work behind them.
I just tried Robinhood's alleged "Agentic Trading". I am not impressed. A half-baked API suite masquerading as artificial intelligence. Austin Starks …
Jul 8, 2026
$25,000 Public Portfolio Challenge · Episode 10 Claude Fable 5 built me a live options strategy. It DESTROYED the market out of sample. Then the gover…
Jun 14, 2026
$25,000 Public Portfolio Challenge · Episode 9 Nine days in and my AI increased my portfolio value by over $4,000. Then I panic sold. Real money, real…
May 15, 2026
Bring a real question
Research a thesis, build a strategy, investigate an existing portfolio, or turn your own data into an experiment.
Try Aurora free