Part XI · Swing trading · Chapter 11A

The market dashboard

The regime read before any trade

1 · The claim this part tests

The Dealer Mechanics Lab states the central claim of its swing-trading material narrowly, so that it can be tested and found false:

The when is the entire framework. Without it, what remains is a contrarian habit that works for a year and blows up in the next volatility regime. With it, you have a system in which you do nothing on most days. On a handful of days you take a bet that compounds. The bets you skip are at least as valuable as the bets you take.

The first seven chapters of this part build that system in order:

• This chapter builds the market dashboard, the regime read that every swing decision begins with.
• Chapter 11B lays out the conditional mean-reversion thesis and the three-layer hierarchy that frames every trade.
• Chapter 11C builds the measuring instruments, the indicators, with attention to the multicollinearity trap that ruins most retail indicator stacks.
• Chapter 11D treats the major chart patterns as priors on order flow.
• Chapter 11E applies Weinstein's four-stage classification of a trend.
• Chapter 11F covers Elder's triple screen, a discipline that checks one timeframe against another.
• Chapter 11G combines the rest into an eight-dimension composite scorecard.

Chapters 11H to 11N turn the machinery into setups, earnings and catalyst trades, a choice of expiry and a catalog of failures. The Edge Book files short-term reversal among the microstructure edges, which it considers essentially institutional-only (Chapter 1G). Chapter 11B sets the two positions side by side.

2 · Four questions before any trade

The thesis of Chapter 11B says that different markets have different statistical properties. So before you apply any tactical setup, whether mean reversion, a breakout, a pullback or premium selling, you need a current read of the regime. Every swing decision begins with four questions, answered from the dashboard:

1. What is the trend? Is the market in a Stage 2 uptrend, a Stage 4 downtrend, a Stage 1 base or a Stage 3 distribution? Chapter 11E defines the four stages.
2. What is the volatility regime? Is volatility compressed, normal, expanding or stressed?
3. What is the dealer positioning? Is gamma exposure (GEX) positive, negative or near the gamma flip?
4. What is the flow signature? Is the day's options flow bullish premium buying, a hedge unwind or defensive positioning?

If any of the four reads is inconclusive, the right action is usually to wait, not to size down on a half-formed thesis. The dashboard's main job is filtering: it keeps you out of trades on days when the regime is ambiguous.

The rest of this chapter walks through the six groups of markers on the dashboard, then the table that turns a dashboard state into a family of trades.

3 · Trend and return markers

The first read asks where the market sits relative to its own structure. Most of its markers compare the index with moving averages, so those come first.

Moving averages

A bar is one period of a price chart, such as a day, with its open, high, low and close. Write $C_t$ for the close of bar $t$, which is $S_t$ at the close in this book's notation. A moving average is the average of the price over a fixed number of recent bars, recomputed as each new bar arrives.

The simple moving average (SMA) of the last $n$ closes weights each of them equally:

Each new bar adds one close and drops the one from $n$ bars back. So the SMA changes by $(C_t - C_{t-n})/n$: it moves on the close it drops as much as on the close it adds.

The exponential moving average (EMA) weights recent bars more heavily. At each bar it moves a fraction $\alpha$ of the way from its last value toward the new close:

For an $n$-bar EMA the fraction is $\alpha = 2/(n+1)$. Unrolled, the weight on the close $k$ bars back is $\alpha(1-\alpha)^k$, so old closes fade away geometrically instead of dropping out on a fixed day.

A moving average is rising when it is higher than it was a few bars earlier. The dashboard measures the 200-day SMA's slope over five days: $M_t - M_{t-5}$, in index points.

The trend table

Breadth measures how many of the index's members take part in its move. SPX weights each company by its market capitalization (Chapter 2A), so a handful of the largest stocks can carry the index while most members fall. RSP is an exchange-traded fund that holds the same stocks in equal weights. Its price divided by SPY's falls when the largest stocks outrun the rest, which is narrow leadership.

The quickest single read takes four conditions: SPX above a rising 20-day EMA, above a rising 50-day SMA, a 200-day slope above zero, and more than 55% of members above their own 50-day. If all four hold, the Dealer Mechanics Lab reads a Stage 2 environment in which pullback longs and put credit spreads have positive expectancy. If two or more fail, the regime is in transition, so tactical positioning should defer to defined-risk structures.

The Dealer Mechanics Lab does not say what a single failure means. The four-question rule covers it: an inconclusive read is a reason to wait.

4 · Fear and volatility markers

The VIX is the headline number but far from sufficient on its own.

The VIX percentile is the IV percentile of Chapter 5G applied to the VIX: the share of days in the past one or three years on which the VIX closed below today's level. The rule of 16 (Chapter 5E) turns the level into a daily move: a VIX of 16 prices a typical day of about 1%, while the stressed threshold of 25 prices about $25/16 = 1.6\%$. The VVIX is the implied volatility of options on the VIX itself.

Chapter 11G folds three of these markers, the VIX percentile, the MOVE and the SKEW, into one numerical score. For a same-day read, two conditions are enough for "normal regime" tactical positioning: the VIX/VIX3M ratio below 1.0 and the VIX percentile below the 60th. Backwardation or a top-quintile VIX, above the 80th percentile, each warrant a defensive posture. Between the 60th and the 80th percentile with the curve in contango, neither rule fires, so the composite scorecard of Chapter 11G decides.

The Edge Book uses the same ratio as a regime filter, with a persistence rule against whipsaw (Chapter 10H). It halts new short-volatility entries once the ratio has closed above 1.00 on three closes and stops all put sales above 1.05 on three closes. The dashboard's same-day read and the filter's three-day rule answer different questions: whether to open a trade this morning, and whether a running strategy should stand down.

5 · Option surface markers

The surface markers decide whether an option-based expression of a view is attractive, as opposed to shares.

Two of these rows are one measurement. The risk reversal subtracts the put's IV from the call's, while the skew slope, the skew metric of Chapter 5G, subtracts the call's IV from the put's. Each is the other with its sign flipped, so reading both counts the same fact twice, the trap that Chapter 11C calls multicollinearity.

The expected move divides the price of the at-the-money straddle, a call and a put at the same strike, by spot. A straddle pays the absolute size of the move either way, so its price is the market's estimate of the average absolute move to expiry. That is about 0.8 of the one-standard-deviation move, for the reason the box below derives.

Why a straddle prices the average absolute move

Step 1: the payoff. A straddle struck at today's price $S_0$ pays $|S_T - S_0|$ at expiry, whichever way the index moves.

Step 2: a normal approximation. Over a short horizon, with no drift, write the move as $S_T - S_0 \approx S_0\,\sigma\sqrt{T}\,Z$. Here $Z$ is a standard normal variable, $\sigma$ the implied volatility and $T$ the time to expiry in years.

Step 3: the mean absolute value of a normal. By symmetry, $\mathbb{E}|Z|$ is twice the integral of $z\,\varphi(z)$ from 0 to infinity. Since $\varphi(z) = e^{-z^2/2}/\sqrt{2\pi}$ and the integral of $z\,e^{-z^2/2}$ from 0 to infinity is 1, this gives $\mathbb{E}|Z| = 2/\sqrt{2\pi} = \sqrt{2/\pi} \approx 0.798$.

Step 4: the result. The straddle's value is about $S_0\,\sigma\sqrt{T} \times 0.798$, so

$$\frac{\text{straddle}}{S_0} \approx 0.8\,\sigma\sqrt{T}$$ (11A.3)

The approximation ignores interest, dividends and skew, which matter little for a short-dated at-the-money straddle.

The forward volatility of Chapter 5G isolates an event. Suppose the 1-day at-the-money IV is 12% and the 5-day IV is 20%, with a report due in three days. Implied variance adds over time, so the four days after tomorrow carry a forward variance of $(0.20^2 \times 5 - 0.12^2 \times 1)/4 = 0.0464$, a forward volatility of $\sqrt{0.0464} = 21.5\%$. The steep rise from 12% to 20% is the event premium, and the forward window prices it.

The two highest-value surface reads are the implied minus realized spread and forward volatility. The first says whether selling premium has a structural edge. The second says whether calendar spreads and diagonals make sense around upcoming events. The Edge Book's own filter for premium selling agrees on the first: contango and realized volatility below implied together give a green light (Chapter 10H).

6 · Dealer-position markers

The dealer-positioning markers map onto Chapters 8A to 8D.

Charm and vanna are the higher-order Greeks of Chapter 5D. Charm moves dealer deltas as time passes and vanna moves them as implied volatility changes, so both force hedge trades without any move in the index. The 0DTE row refers to the work of Adams and co-authors (2025), whose finding that 0DTE options dampen market volatility through dealer hedging is discussed in Chapter 8G.

The quick read takes three numbers, refreshed before the open: the GEX sign, the distance to the flip and the nearest large strike. Together they tell you whether intraday moves are likely to be damped, with GEX positive and spot well above the flip, or amplified, with GEX negative and spot near the flip.

The Edge Book keeps only the sign

The Edge Book reads these markers far more cautiously, for three reasons (Chapters 1G, 10H and 10I). Public GEX models are model-dependent, because each vendor assumes different positioning. The rise of 0DTE options since 2022 changed who holds what. And a Cboe study from 2025 estimated 0DTE market-maker gamma hedging at only about 0.2% of SPX daily liquidity. That study measures same-day hedging only, so using it against the flip and the walls, built mostly from longer-dated open interest, extends the measurement. From those reasons it draws four operational rules:

• Use the sign of GEX as low-confidence regime context only.
• Do not trade specific levels such as the call wall and the put wall: scalping around them is on its rejected list.
• Do not size on the magnitude of GEX, which is too model-dependent.
• If GEX disagrees with the VIX term structure or the realized-volatility filter, ignore it. If it agrees, it adds slight confidence, worth 10% to 15% of one filter's weight and never a filter of its own.

It also lists open-interest concentration as descriptive, not predictive. Chapter 8B adds that the sign itself rests on an assumption about who holds what. Both sources treat the sign as regime context but part over reading the flip distance and the walls as levels.

Try the forward GEX map

The figure below asks what the next move does to dealer gamma. It draws net GEX, in billions of dollars, over 5% either side of spot, as a straight line through two points: zero at the gamma flip and the current GEX at the current spot.

Its first two sliders set the current spot (3,000 to 8,000, starting at 6,000) and the current GEX (−10 to +10 billion, starting at +2). Three more set the flip, the call wall and the put wall, each within 500 points of spot. The last applies a shock of −5% to +5% to spot. The dot is the projected GEX after the shock. Readouts give the projected spot, the projected GEX and the distance left to each wall, and a verdict names the regime.

The line has slope $G_0/(S_0 - S_f)$, where $G_0$ is the current GEX, $S_0$ the current spot and $S_f$ the flip. After a move to $S_1$ it gives

At the start, with the flip at 5,950, spot sits $50/6{,}000 = 0.83\%$ above the flip, outside the 0.5% transitional band. Set the spot shock to −1% and predict the dot before you look.

current spot

6000

current GEX

+2.0B

gamma flip level

5950

call wall strike

6100

put wall strike

5900

spot shock

+0.0%

projected spot = 6000

projected GEX = +2.00B

distance to call wall = +100

distance to put wall = +100

Regime read. Positive GEX: dealers sell into rallies and buy into dips. The mean-reversion regime supports pullback longs and short premium.

A 1% fall takes spot to 5,940, and (11A.4) gives $2 \times (5{,}940 - 5{,}950)/(6{,}000 - 5{,}950) = -0.40$ billion. The verdict switches to "Regime change: GEX crosses the flip", while the distances read +160 points to the call wall and +40 to the put wall. The crossing needs a fall of only $5{,}950/6{,}000 - 1 = -0.83\%$. Now move the flip to 5,980, inside the 0.5% band, and try a −0.5% shock. The line is steeper, so GEX lands at $2 \times (5{,}970 - 5{,}980)/20 = -1.0$ billion. All levels in the figure are inputs you set, not market data. The straight line is the figure's model, not a measured profile.

7 · Flow markers: the demand side

Flow markers read what is actually being bought and sold.

A trade that fills at the ask was started by a buyer who crossed the spread, as a taker of liquidity (Chapter 2C). Delta-adjusted premium scales each trade by its delta, so that it measures directional exposure rather than a count of contracts: a far out-of-the-money call, with its small delta, adds little.

Open interest changes only when both sides of a trade open positions, or both close them (Chapter 5B). When one side opens and the other closes, the position simply changes hands.

Flow markers are noisy and prone to over-interpretation, so use them to confirm or refute a thesis you already have, never to generate one. "Unusual options activity" alone is not a signal. It becomes one only when it overlays fundamentals, technical structure and a supportive surface.

8 · Credit, rates and liquidity markers

These markers confirm or contradict the equity read from other markets.

An option-adjusted spread (OAS) is the extra yield a bond index pays over Treasuries of similar maturity, after allowing for options built into the bonds, such as the issuer's right to repay early. It is quoted in basis points, so 450 bps is 4.5 percentage points. HY OAS is the spread on high-yield bonds, those rated below investment grade. IG OAS is the spread on investment-grade bonds. BAML's US HY Master II and US IG Master are the bond indexes the two spreads are read from. A credit default swap pays out if a named borrower defaults, and CDX HY bundles many of them into one tradable index.

The 2Y10Y slope is the 10-year Treasury yield minus the 2-year yield, a measure of the tilt of the yield curve. A negative slope means the curve is inverted. A real yield is a yield after inflation, read from TIPS, Treasury Inflation-Protected Securities. The US Dollar Index (DXY) tracks the dollar against a basket of major currencies. USDJPY is the number of yen per dollar. A sharp move in the yen can force leveraged carry trades funded in yen to unwind all at once, as on August 5, 2024, one of the stress episodes of Chapter 8H.

The quick cross-asset read takes three numbers: the direction of HY OAS, the direction of the DXY and the level of the MOVE index. Rising HY OAS with a rising dollar and the MOVE above 120 is cross-asset stress. It warrants a defensive posture whatever SPX is doing on the day.

The Edge Book's liquidity filter reads the same instruments with its own thresholds (Chapter 10H). For full short-volatility exposure it asks for the MOVE below 100 and HY OAS below 500 bps, with the TED spread as a third input. It also warns that these markets can be late, because the equity damage is often done before credit and funding markets show it.

9 · From the dashboard to a trade family

The capstone table turns a dashboard state into what to do.

Bollinger bandwidth, a measure of how tightly prices have been trading, is defined in Chapter 11C. A call debit spread buys a call and sells a higher-strike call, a bullish position with a capped cost. Long convexity means holding bought options, whose value curves upward as the index moves. FOMC is the Federal Reserve's rate-setting committee, CPI the monthly consumer price index and NFP the monthly nonfarm payrolls report. An IV crush is the fall in implied volatility once an event's uncertainty resolves, which makes bought options costly to hold into it.

Three cells of this table are trades the Edge Book doubts. For systematic premium selling it allows only monthly cash-secured at-the-money put writing on XSP (Chapters 10C and 10I). A defined-risk strangle is in effect an iron condor, which the Edge Book rejects as a systematic strategy (Chapter 10I). Fading intraday moves is a microstructure edge, which the Edge Book calls essentially institutional-only (Chapter 1G). Read those cells with both positions in view.

10 · The morning routine

The operating pattern is a short routine: scan the dashboard before the open, between 8:00 and 9:00 AM ET, and make the regime determination with the four questions. Choose the strategy family from the translation table. Only then apply the conviction score of Chapter 13B and the kill rules of Chapter 13C to any specific trade. The Dealer Mechanics Lab calls this a 5-minute discipline that prevents most low-quality trades.

11 · Check yourself