Risk management gets the spotlight in this episode, and Matt Amberson uses his own live, multi-account portfolio as the example rather than a hypothetical — a choice that makes the whole walkthrough feel considerably more grounded than a typical feature demo. He opens by pulling up ORATS’ risk profile tool from the positions page, aggregating thirteen separate open positions across several brokerage accounts, including paper trading, into a single combined payoff diagram benchmarked against SPY. The tool lets him toggle individual positions on and off to see how much each one is contributing to his overall market exposure, which he demonstrates live by deselecting a long put spread and watching the aggregate delta shift by a handful of shares.
Tyler pushes for the mechanics behind the visualization, and Matt’s explanation is genuinely worth sitting with: the payoff curve is built from 21 empirical buckets of historical price movement per stock going back to 2007, normalized so that a highly volatile name and a stable one can be meaningfully overlaid on the same chart. It’s a detail that separates this tool from a purely theoretical Black-Scholes-style payoff diagram — the risk profile is grounded in how each specific underlying has actually moved historically, not just a generic bell curve applied uniformly across every ticker.
The most instructive part of the episode is Matt’s honest walk-through of his own cross-account hedging strategy. In one account he’s long roughly 230 deltas of SPY-equivalent exposure through a lower-risk wheel-style structure; in a separate account, he’s intentionally short around 250 shares of SPY-equivalent exposure through index option positions, netting out to something close to market-neutral overall. He’s candid about the real risk this approach carries — correlation risk. The names in the offsetting account (things like Macy’s, Rio Tinto, State Street) aren’t perfectly correlated to the S&P index he’s using to hedge, so a market move doesn’t guarantee his individual positions behave exactly as the aggregate delta would suggest. It’s a rare, useful moment of a tool’s limitations being explained by the person who built it, rather than glossed over.
Matt and Tyler also spend time on the tool’s paper trading integration, which lets a trader model hypothetical positions or track accounts at brokerages ORATS doesn’t directly integrate with, alongside the trade journal that logs performance by underlying and by strategy over time. Tyler makes a point that lands well: ORATS’ real differentiator isn’t any single tool in isolation — plenty of standalone backtesters, risk calculators, and trade journals exist elsewhere — it’s that scanning, backtesting, risk management, and journaling all live in one connected dashboard rather than requiring a trader to stitch together five different services.
The episode closes with a look at the single-trade risk analyzer that sits alongside the portfolio-level view, letting a trader build a multi-leg position and slide both implied volatility and days-to-expiration to see how the payoff curve would evolve — including, as Tyler notes, newly added support for intraday zero-DTE positions, sliding the clock forward hour by hour rather than just day by day. For traders managing positions across more than one account or brokerage, this episode is a solid case for why aggregating risk in one place, rather than eyeballing each account separately, catches correlation and exposure issues that would otherwise go unnoticed.
