ai trading / algorithmic trading / backtesting / walk forward testing
AI Trading Research: Build, Test and Deploy With Aurora
Aurora is NexusTrade’s AI research agent for turning a trading idea, a watchlist, or a portfolio screenshot into rules you can inspect and test. This narrated walkthrough shows strategy creation, backtests with trading costs, trade inspection, benchmark comparisons, and walk-forward optimization. It also shows a Monte Carlo workflow through connected MCP tools.
Inspect the entry and exit conditions, review individual trades, and compare historical results before deciding what to deploy. You can paper-trade with simulated money or attach strategies to supported brokerage accounts, including Public, Robinhood Agentic Trading, and TradeStation.
Transcript
0:01This is Aurora. Aurora is an AI research agent that turns your trading ideas into strategies that you can inspect, test, and deploy.
0:14Give her a list of your favorite stocks, or a screenshot of your Robinhood account, or any idea you've always wanted to try.
0:22Aurora builds the buy and sell rules from first principles. She tests them, including fees, dividends, merger events, all historical events that impact a test's results.
0:39And then she inspects the trades to find the strengths and weaknesses and suggests improvements for further iteration.
0:48She also supports many quantitative techniques that you won't find in an average retail platform.
0:57This includes walk-forward optimization, or using the data to run Monte Carlo simulations.
1:04She lets you test your trading ideas, just like a Wall Street quant. You can read the exact trading rules in plain English, inspect individual trades, and compare the results with any benchmark that you want.
1:22Then you can deploy the strategy to the market. You can paper trade it so you don't risk any actual money, or you can connect with a brokerage like Robinhood's Agentic Trading, Public, TradeStation, or other supported platforms.
1:44Give Aurora your crazy trading idea and let me know what she created in the comments.
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