0:36Transcript
AI Options Strategy: Build With Aurora, Test on Unseen Data
Watch Aurora turn a watchlist screenshot into inspectable trading rules, compare backtests, run walk-forward tests, and connect an existing Public brokerage.
NEXUSTRADE / VIDEOS
Shorts I filmed while building NexusTrade.
Every video has a transcript.
184 shorts · every one transcribed
0:36Transcript
Watch Aurora turn a watchlist screenshot into inspectable trading rules, compare backtests, run walk-forward tests, and connect an existing Public brokerage.
0:35Transcript
The exact AI trading setup behind my $26K Robinhood account: NexusTrade MCP + an agentic coding tool + my Public Portfolio Challenge repo. Just a laptop and internet.
2:50Transcript
Watch Austin demonstrate NexusTrade, Aurora, and his public portfolio challenges. Claim three months free with the October offer.
1:50Transcript
See Aurora build inspectable trading rules, run backtests and walk-forward tests, and connect strategies to paper trading or a supported brokerage.
0:47Transcript
See how AI-created rules run through historical backtesting, then paper trading and a connected Robinhood account before moving live.
2:50Transcript
Watch Austin demonstrate NexusTrade, Aurora, and his public portfolio challenges. Claim three months free with the October offer.
2:18Transcript
How NexusTrade turns millions of headlines into company-specific sentiment: Qwen, DeBERTa, validation and archive-scoring costs.
1:37Transcript
Watch three AI trading safeguards in action: manual approval, an event trail that explains a buy/sell loop, and a daily allowance for automatic trade actions.
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A $20K trading claim meets a NexusTrade backtest: the closest mechanical VWAP-short proxy lost 49.8%. See the run, evidence, and limits.
3:18Transcript
Three viral AI trading rules tested against buy-and-hold, with original NexusTrade backtest receipts, fees, benchmarks and implementation limits.
1:30Transcript
Use NexusTrade to research a falling stock, check sources and compare the evidence for selling, holding or adding.
0:47Transcript
Austin Starks puts $25,000 into an AI trading strategy, audits the backtests, and shares his Public Portfolio Challenge. Watch and explore the portfolio.
2:54Transcript
An AI trading tools tier list covering Alpaca, Public, Cursor, Claude Code, Codex, Robinhood, and NexusTrade, with real SDK and MCP examples.
2:43Transcript
Three checks for AI trading bots: realistic simulation, financial research, and decision trails, with real NexusTrade screens and a paper-bot event.
2:17Transcript
Austin Starks fact-checks Ray Fu’s Jev AI trading pitch, challenging its 100ms HFT claim and asking for out-of-sample tests and evidence of better results.
0:28Transcript
Austin doubled his money on NVIDIA options, then panic-sold. Episode 9 shows how an incomplete AI audit helped him rationalize an unproven trading decision.
0:38Transcript
I gave Grok Bot $13,500 of real money. It's up 5.20% vs the S&P 500's 0.64%, and two options trades, PacBio and Schrödinger, made more than the account is up.
0:50Transcript
A $25,000 public account traded by AI is up 22.49% in 126 days. The rules, the day-two failure that forced a risk-engine rebuild, and what the drawdown looks like.
3:39Transcript
I gave my AI a TikTok claiming $20,000 in one month from day trading. It turned the claim into a strategy and backtested it. The closest version lost 49.8%.
1:38Transcript
An engineer builds a paper strategy from delayed congressional disclosures with the NexusTrade SDK, from signal to deployment.
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Build a paper trading strategy with the NexusTrade SDK using delayed public congressional filings. Includes a clearly labeled simulated backtest.
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Simulated disclosure bots since Sep 2021: Hickenlooper -91%, McConnell +90%, Nancy Pelosi +261%. The fork is a paper portfolio.
2:10Transcript
A 0DTE SPX iron condor creator claimed $30,000 and zero losing days in August. Codified his stated rules and backtested them on minute data: sixteen green sessions, four red, and $840,000 of collateral behind the claim.
0:47Transcript
I spent 1,400 days building an algo trading platform. 1,873,324 lines, 35,000 people, and a live public book. Google Public Portfolio Challenge.