Last Updated on May 31, 2026 by Van Phillips
I been in the futures game for a minute. Bookmap for order flow, Menthor Q for GEX levels and dealer positioning, Thinkorswim for execution — that’s my setup. That’s how I eat every day trading ES.
But I ain’t gonna front: I been watching earnings season come and go, watching options traders print on setups I could see setting up but couldn’t properly position for, and I kept asking myself why I was leaving that paper on the table. My toolkit is built for precision on futures. It wasn’t built for the volatility-driven game that options earnings plays are about.
So I started looking at Market Chameleon. And after going deep on what it actually does, I’m convinced it fills a gap that none of my current tools come close to covering. This is me laying out exactly why, how it fits into my workflow, and how I plan to use it across earnings plays, intraday setups, and swing trades. If you running a similar setup and thinking about making the same move, read this first.
My Current Setup and Where It Falls Short
Let me be clear — Bookmap, Menthor Q, and TOS are elite tools. Between those three, I got microstructural order book clarity, real-time gamma exposure from dealers, and a best-in-class execution engine. Word. That combination is what gives me an edge on ES day after day.
But when it comes to options — especially around earnings — there’s a layer of historical context none of those platforms deliver. TOS can show me a current IV percentile. Menthor Q can tell me where market makers are positioned right now. Bookmap shows me the book in real time. What none of them can tell me is: how has this specific stock historically behaved in the two weeks leading up to an earnings release, and what does the statistical track record actually say about profitability on a given options structure?
That’s the gap. And Market Chameleon was built to live in exactly that gap.
| Feature / Focus | Thinkorswim | Menthor Q | Market Chameleon |
|---|---|---|---|
| Primary strength | Execution, charting, core option analytics | Daily GEX/DEX, gamma profiles, institutional flow | Historical event data, earnings backtesting, IV skew analysis |
| Earnings utility | Good for viewing current IV rank and building positions | Strong for seeing how dealers are positioned on the day of earnings | Best for looking back 3–5 years at specific ticker performance on and around earnings day |
| Role in my setup | The engine | The intraday map | The historical playbook |
That table right there is basically how I think about it. I ain’t replacing nothing — I’m adding the one thing I been missing.
The Play That Caught My Attention: The Pre-Earnings Run-Up
Before I even started looking at Market Chameleon’s full feature set, one specific strategy locked me in: trading the pre-earnings run-up. And the reason this play got my attention is because it fundamentally changes the risk profile compared to holding options through an actual earnings announcement.
When you hold through earnings, you’re taking on binary overnight risk — you don’t know if the stock beats, misses, or guides lower. And on top of that, IV crush hits the moment the report drops, collapsing the premium you paid regardless of which direction the stock moves. That’s a brutal combination.
The run-up play sidesteps all of that. Instead of betting on the outcome of the announcement, you’re betting on a predictable mechanical force: the steady, almost guaranteed rise of Implied Volatility as anticipation builds in the weeks leading into the report. That shift in the odds is everything.
“Unlike holding options through the actual announcement — which introduces binary overnight risk and the inevitable IV crush — trading the run-up is a play on a predictable mechanical force: the rise of Implied Volatility as anticipation builds.”
Market Chameleon has a dedicated Pre-Earnings Strategy Screen built exactly for this. It backtests specific pre-earnings windows for individual tickers — telling you not just that a stock tends to run up, but exactly which entry and exit window has historically been most profitable, what the win rate looks like over the past 8–12 quarters, and how much IV expansion you can realistically expect to capture. That’s data I cannot build elsewhere without logging hours in a spreadsheet, and anyone who’s done that knows how tedious and error-prone that process is.
IV and IV Rank: The Real Price Tag on Every Option
Before I break down the run-up framework step by step, I gotta talk about IV and IV Rank, because these two metrics are the engine behind almost every options setup I’m building.
Here’s how I think about it: IV is the price of an option. Just like you wouldn’t buy a stock without knowing if the share price is historically cheap or expensive, you shouldn’t buy or sell options without knowing where IV stands relative to its own history. IV Rank (IVR) is what gives you that context — a 0-to-100 score showing where current IV sits compared to the last year of that stock’s data.
An IV Rank of 90 means options are priced more expensively than they were 90% of the time over the past year. You’re buying at the top of the market — and that’s not the move. An IV Rank of 10 means options are cheaper than they’ve been 90% of the time. That’s cheap volatility, and cheap volatility is opportunity.
The golden rule of options is to match your strategy structure to the volatility environment. Here’s the matrix I keep front of mind at all times:
| IV Rank Level | Environment | What It Means | Best Structures | Market Chameleon’s Role |
|---|---|---|---|---|
| High (>60–70) | Premium seller’s environment | Options are expensive; IV is mean-reverting and likely to collapse | Credit Put Spreads, Credit Call Spreads, Iron Condors | Validates that IV is structurally overpriced vs. Historical Volatility — confirms the edge before you sell |
| Low (<20–30) | Premium buyer’s environment | Options are cheap; any volatility expansion hyper-inflates contracts via Vega | Long Calls/Puts, Debit Spreads, Calendar Spreads | IV Skew tool shows if calls are underpriced relative to puts — confirms structural underpricing for directional buys |
| Building (20–60) | Pre-earnings run-up zone | IV is climbing toward its peak as the report approaches | Long directional calls or At-The-Money Straddles | Pre-Earnings Strategy Screen tracks the historical IV ramp pace and win rates for specific tickers |
When IV Rank is high and I’m thinking about selling premium, Market Chameleon’s IV vs. Historical Volatility tool is what I run first. If IV is pricing in a 65% annualized move but the stock is only realizing 35% HV, that structural overpricing is the edge I’m selling into — and Market Chameleon quantifies it directly, no guesswork required.
The Run-Up Framework: Step by Step
Here’s the exact execution flow I’m building for the pre-earnings run-up play, with all three tools playing their role:
The diagram above maps the full IV ramp timeline. Here’s how it translates into an actual workflow across all three tools:
Step 1 — Find the Volatility Bottom (Market Chameleon). Two to three weeks before a major earnings cycle kicks off, I use Market Chameleon to scan for high-probability run-up candidates. I’m looking for a stock with a statistically significant bullish pre-earnings bias — ideally a historical win rate above 80% over the last 8–12 quarters — and a reliable IV ramp pattern, where IV Rank is still sitting low (between 20 and 40) with room to climb. Market Chameleon’s Pre-Earnings Flows/Strategies tab does this directly by breaking down historical performance across specific time windows: entering 10 days before and exiting the afternoon before the release, for example.
Step 2 — Confirm Real-Time Positioning (Menthor Q). Before I pull the trigger on Day -10, I open Menthor Q and check current Gamma Exposure (GEX) and institutional option flow. If Menthor Q shows that market makers are short gamma — meaning they’re forced to buy the underlying as price rises, creating a self-reinforcing push — or that heavy bullish flow is already hitting the tape, that’s institutional confirmation that the historical run-up tendency is aligning with what’s actually happening in the market right now.
Step 3 — Execute and Manage (TOS + Bookmap). I build the trade on TOS using the risk profile analyzer to understand exactly how Vega expansion will affect my position as IV climbs. For intraday entry precision, I use Bookmap to identify large resting liquidity blocks on the underlying — giving me a tight, structured entry point rather than just guessing at a price level. Once the trade is on, the exit plan is simple: sell the afternoon before the earnings report drops, cashing out at the absolute peak of premium inflation before IV crush takes everything back.
Beyond Earnings: Intraday and Swing Strategies
The run-up play is what sold me on Market Chameleon, but to make a $99/month subscription pay for itself, I need it earning across multiple setups — not just one or two earnings cycles per quarter. Here’s how I’m thinking about extracting full value.
Intraday: The Gap Reversal Play
Market Chameleon has a Historical Intraday Return Distribution tool that tracks how specific stocks behave during narrow, explicit windows of the trading day. On any morning where a high-beta name like NVDA, AMD, or TSLA gaps up hard in premarket, I can pull up that tool and see statistics like: “When this stock gaps up more than 2%, it fills the gap or reverses between 10:00 AM and 11:30 AM 74% of the time.”
I take that statistical time window, open Bookmap, and look for massive resting icebergs or liquidity blocks that are rejecting price at exactly that historical turning point. If the order book confirms rejection where Market Chameleon says reversals historically happen, that’s a high-probability intraday scalp — executed via weekly OTM credit spreads or short-dated directional options on TOS.
Intraday: Institutional Volume Burst + GEX Confluence
Market Chameleon’s S&P 500 Volume Burst Trades screener isolates massive block-sized equity and option spikes executing on lit exchanges versus dark pools. If I see a volume burst during the 10:30–10:45 AM window where buy pressure is outweighing sell pressure by a 5-to-1 ratio across the Tech sector, that signals institutional replication in real time.
The overlay with Menthor Q is what makes this actionable. If Market Chameleon is showing that institutional burst hitting at the exact moment Menthor Q’s levels show the stock touching a major Call Wall or positive GEX flip, I’ve got a high-probability scalp setup for 0DTE or 1DTE long calls. Market Chameleon spots the institutional momentum; Menthor Q confirms the structural options level; Bookmap nails the entry.
Swing: Seasonality Backtesting
At the end of every month, I run Market Chameleon’s Seasonality Screener for the upcoming calendar month. It calculates the probability of a stock’s directional performance based purely on historical calendar patterns — not just telling you “this stock goes up in July,” but breaking down the average return, standard deviation, and Sharpe ratio of that specific monthly move over the last decade.
If a high-quality large-cap tech stock historically rallies an average of 6% every July with low deviation, that’s a prime swing candidate. And Market Chameleon’s Multi-Leg Option Strategy Screener lets me backtest whether a 30-day Bull Put Credit Spread or an At-The-Money Call Calendar Spread has historically yielded a higher mathematical expected value during that exact window. I’m not guessing at structure — I’m letting the data pick it.
Swing: Ex-Dividend Option Play
This one’s more specialized, but Market Chameleon tracks corporate catalysts including dividends with real precision. When a stock with a high dividend yield approaches its ex-dividend date, the options chain behaves in unique ways due to early exercise risk and pricing adjustments. Market Chameleon tracks the historical IV behavior leading up to ex-dividend dates and highlights opportunities where an Iron Condor or Credit Put Spread placed 14 days out from the date can harvest heavy Theta decay — with data-backed historical boundaries on where the stock actually tends to stay during that window.
The Weekly Workflow That Makes It Pay For Itself
Here’s the repeatable weekly rhythm I’m building to ensure Market Chameleon covers its own cost every month:
| Time | Tool Focus | What I’m Doing |
|---|---|---|
| Sunday — swing prep | Market Chameleon | Run the Seasonality Screener and Event-Driven Screener. Identify 2–3 directional ideas for the week. Use the Multi-Leg Screener to validate the highest-EV option structure for each. |
| Every morning — intraday prep | Market Chameleon + Menthor Q | Check the Morning Report for premarket imbalances. Identify gapping tickers. Look up their Intraday Return Distribution to know exactly when they historically top or bottom. Cross-reference with Menthor Q’s daily levels. |
| During the session | Bookmap + TOS | Let Menthor Q handle gamma walls, let Bookmap handle order-book execution. Use Market Chameleon’s Volume Burst screener to cross-verify any unusual institutional activity that might create a high-probability intraday scalp. |
| 2–3 weeks pre-earnings cycle | Market Chameleon | Scan for run-up candidates. Identify stocks with strong historical win rates in the pre-earnings window and still-low IV Rank. Build the position plan before the IV ramp gets going. |
By letting Market Chameleon do the heavy statistical lifting on swing structures and historical context, I’m automating the process of avoiding low-probability setups. One clean, optimized credit spread or one well-timed run-up per month covers the subscription cost — and I’m targeting far more than one.
The Verdict
My honest take? Market Chameleon transitions from “probably worth it” to “essential” the moment your strategy is specifically built around exploiting structural mispricings in volatility — which is exactly what the pre-earnings run-up, the IV crush sell, and the seasonality swing are all about.
It ain’t a slick platform. The UI looks like a financial database from a decade ago, and coming from the clean visual interfaces of Bookmap and Menthor Q, that’s a real adjustment. It’s also not an execution tool — you’re using it on the weekend and in the morning to build your thesis, then taking that thesis into TOS to actually trade it.
But the dataset it provides is genuinely one of a kind. The combination of historical earnings win rates, IV ramp pace tracking, intraday return distributions, and multi-leg strategy backtesting is not something you’re building yourself without a significant time investment. And time, in this game, is paper.
If you’re thinking about making the move, Market Chameleon offers a 7-day free trial. I’d use it specifically during a heavy week of earnings season — pick 3 or 4 upcoming reports, map out the run-up setups using the Pre-Earnings Strategy Screen, and see whether the historical edge holds up when you execute on TOS. That’s the only real test. The data can tell you the odds; the market tells you if you played them right.
Stay sharp out here.
All trading involves significant risk. This article reflects my personal research and opinions only — not financial advice. Always do your own due diligence before entering any position.
