Power Hour 8.17.26 — A Historically Low VIX, an Adobe Fib Redraw, and Trading Smaller When Volatility Compresses

Rob reviews Trade With Rob's early results, a strong power-options week on Broadcom, DoorDash, and Mastercard, and a year-to-date average of $360.80 per trade, then breaks down why a historically low VIX deserves caution rather than fear, using a fresh Adobe fib redraw from his new AI tool as the case study.

This session opens with some genuinely good bookkeeping on the newer “Trade with Rob” segment, which Rob relaunched about a week before this episode airs. He walks through the early numbers with real transparency — a handful of one-contract candidate trades from August 10th and 14th, some hits, some misses, netting a modest $845.50 so far — and uses it to make a point he returns to throughout the episode: these aren’t home-run trades, they’re small, repeatable, high-probability setups, and the real story is in the aggregate, not any single trade. He backs that up with a genuinely striking number from his own broader trading log: $93,336 in total profit since January 1st, which on a rough weekly basis works out to about $2,700 a week, and across 267 total trades comes out to an average of $360.80 per trade — a figure he uses to push back directly on the idea that you need a huge account or dozens of contracts to make real money trading options.

The heart of the episode is Rob’s weekly training topic: should traders be afraid of an unusually low VIX reading? It’s a timely question, since the S&P is down modestly on the day while the VIX is up almost a full point — an overreaction, in Rob’s view, that he uses to explain his color-coded volatility zones. The yellow zone, roughly 16 to 24, is what he considers normal and where he’s most comfortable operating. Below that, in the green-to-ultra-low range, is where he gets genuinely cautious, comparing it to a horror-movie character running toward the one place a bad outcome is clearly waiting. His point isn’t to panic or stop trading — he’s clear that walking away entirely is the wrong response — but to adjust size, shorten hold times, and step back from higher-priced names where a volatility snap-back could do real damage to a position.

Rob backs this up with real trading behavior, not just theory: he describes actively trading less in the afternoons than he used to, tightening his own entry windows, and being far more selective about which of his usual 20-stock list he’ll touch when volatility is compressed like this. It’s a candid, evolving-trader moment — he’s upfront that this is a shift from how he traded a couple of years ago, and that adapting his own habits as conditions change is part of staying consistently profitable rather than a sign anything was wrong with his old approach.

The most interesting technical stretch of the episode is Rob live-testing a new AI-assisted charting tool his team has been building, using Adobe as the example. He walks through a moment where the bot initially flagged the wrong fib line, and rather than assuming the tool was right, he dug into why — walking the audience through his own criteria for when a fib needs to be redrawn (a closing-price violation of the negative 618 or the 882, a new move that’s larger than the previous one, a fib older than 10 to 12 months) and confirming, level by level, that the redraw the bot ultimately produced was correct. It’s a good demonstration of Rob’s broader philosophy that technology should sharpen judgment, not replace it, and that even an AI tool built specifically on his own rules still needs a human checking its work.

The episode wraps with a quick tour of live candidates — SPY sitting in the middle of its range with QQQ looking similarly indecisive, and JP Morgan lacking a clean level to trade off of at all — which Rob uses as one more example of his core message for the day: when volatility drops this low and setups aren’t clean, the discipline move isn’t to force a trade, it’s to wait for the market to hand you one.



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